diff --git a/.gitignore b/.gitignore
index 928f85e..9ec1c71 100644
--- a/.gitignore
+++ b/.gitignore
@@ -143,3 +143,4 @@ __pyc
 FaceRec/static/Images/uploads/*
 Images/dbImages/*
 Images/Faces/*
+Images/
\ No newline at end of file
diff --git a/API/database.py b/API/database.py
index ca24701..2d131e1 100644
--- a/API/database.py
+++ b/API/database.py
@@ -33,7 +33,7 @@ def vector_search(self, collection, embedding):
                 {
                     '$vectorSearch': {
                         'index': 'vector_index',
-                        'path': 'face_embedding',
+                        'path': 'embedding',
                         'queryVector': embedding,
                         'numCandidates': 20,
                         'limit': 20,
diff --git a/API/route.py b/API/route.py
index c8175e6..b9523fb 100644
--- a/API/route.py
+++ b/API/route.py
@@ -8,7 +8,7 @@
 from datetime import datetime
 from io import BytesIO
 from typing import List
-
+from tensorflow.keras.models import load_model
 from bson import ObjectId
 from deepface import DeepFace
 from dotenv import load_dotenv
@@ -20,6 +20,8 @@
 from matplotlib import pyplot as plt
 from PIL import Image
 from pydantic import BaseModel
+import numpy as np
+from keras.preprocessing import image
 
 from API.database import Database
 from API.utils import init_logging_config
@@ -36,7 +38,7 @@
 
 collection = 'faceEntries'
 collection2 = 'ImageDB'
-
+collection3 = 'VectorDB'
 
 # Models  for the data to be sent and received by the server
 class Employee(BaseModel):
@@ -53,6 +55,84 @@ class UpdateEmployee(BaseModel):
     Department: str
     Images: list[str]
 
+def load_and_preprocess_image(img_path, target_size=(160, 160)):
+    
+    img = image.load_img(img_path, target_size=target_size)
+    img_array = image.img_to_array(img)
+    img_array = np.expand_dims(img_array, axis=0)
+    img_array /= 255.0
+    return img_array
+
+def calculate_embeddings(image_filename):
+    
+    """
+    Calculate embeddings for the provided image.
+    
+    Args:
+        image_filename (str): The path to the image file.
+        
+    Returns:
+        list: A list of embeddings for the image.
+    """
+    
+    face_image_data = DeepFace.extract_faces(
+        image_filename, enforce_detection=False,
+    )
+    new_image_path = f'Images/Faces/tmp.jpg'
+    
+    if face_image_data[0]['face'] is not None:
+        plt.imsave(new_image_path, face_image_data[0]['face'])
+        
+        img_array = load_and_preprocess_image(new_image_path)
+        model=load_model('Model/embedding_trial3.h5')
+        embedding = model.predict(img_array)[0]
+        embedding_list = embedding.tolist()
+        logging.info(f'Embedding created')
+        
+        return embedding_list
+
+@router.post('/recalculate_embeddings')
+async def recalculate_embeddings():
+    """
+    Recalculate embeddings for all the images in the database.
+
+    Returns:
+        dict: A dictionary with a success message.
+
+    Raises:
+        None
+    """
+    logging.info('Recalculating embeddings')
+    employees_mongo = client2.find(collection2)
+    for employee in employees_mongo:
+        print(employee, type(employee))
+        embeddings = []
+        
+        # In the initial version, the images were stored in the 'Image' field
+        if 'Images' in employee:
+            images = employee['Images']
+        else:
+            images = [employee['Image']]
+        
+        for encoded_image in images:
+            
+            pil_image = Image.open(BytesIO(base64.b64decode(encoded_image)))
+            image_filename = f'{employee["Name"]}.png'
+            pil_image.save(image_filename)
+            logging.debug(f'Image saved {employee["Name"]}')
+            embeddings.append(calculate_embeddings(image_filename))
+            # os.remove(image_filename)
+
+        logging.debug(f'About to update Embeddings: {embeddings}')
+        # Store the data in the database
+        client2.update_one(
+            collection2,
+            {'EmployeeCode': employee['EmployeeCode']},
+            {'$set': {'embeddings': embeddings, 'Images': images}},
+        )
+
+    return {'message': 'Embeddings Recalculated successfully'}
+
 
 # To create new entries of employee
 @router.post('/create_new_faceEntry')
@@ -74,7 +154,7 @@ async def create_new_faceEntry(Employee: Employee):
         '\r\n',
         '',
     ).replace('\n', '')
-    EmployeeCode = Employee.EmployeeCode.replace('\r\n', '').replace('\n', '')
+    EmployeeCode = Employee.EmployeeCode
     gender = Employee.gender.replace('\r\n', '').replace('\n', '')
     Department = Employee.Department.replace('\r\n', '').replace('\n', '')
     encoded_images = Employee.Images
@@ -88,17 +168,13 @@ async def create_new_faceEntry(Employee: Employee):
         image_filename = f'{Name}.png'
         pil_image.save(image_filename)
         pil_image.save(fr'Images\dbImages\{Name}.jpg')
-        face_image_data = DeepFace.extract_faces(
-            image_filename, detector_backend='mtcnn', enforce_detection=False,
-        )
-        plt.imsave(f'Images/Faces/{Name}.jpg', face_image_data[0]['face'])
         logging.info(f'Face saved {Name}')
-        embedding = DeepFace.represent(
-            image_filename, model_name='Facenet512', detector_backend='mtcnn',
-        )
-        embeddings.append(embedding)
-        logging.info(f'Embedding created Embeddings for {Name}')
-        os.remove(image_filename)
+        # embedding = DeepFace.represent(
+        #     image_filename, model_name='Facenet512', detector_backend='mtcnn',
+        # )
+        
+        embeddings.append(calculate_embeddings(image_filename))
+        # os.remove(image_filename)
 
     logging.debug(f'About to insert Embeddings: {embeddings}')
     # Store the data in the database
@@ -128,7 +204,7 @@ async def get_employees():
         list[Employee]: A list of Employee objects containing employee information.
     """
     logging.info('Displaying all employees')
-    employees_mongo = client.find(collection)
+    employees_mongo = client2.find(collection2)
     logging.info(f'Employees found {employees_mongo}')
     employees = [
         Employee(
@@ -162,8 +238,8 @@ async def read_employee(EmployeeCode: int):
     logging.debug(f'Display information for {EmployeeCode}')
     try:
         logging.debug(f'Start {EmployeeCode}')
-        items = client.find_one(
-            collection,
+        items = client2.find_one(
+            collection2,
             filter={'EmployeeCode': EmployeeCode},
             projection={
                 'Name': True,
@@ -210,8 +286,8 @@ async def update_employees(EmployeeCode: int, Employee: UpdateEmployee):
     """
     logging.debug(f'Updating for EmployeeCode: {EmployeeCode}')
     try:
-        user_id = client.find_one(
-            collection, {'EmployeeCode': EmployeeCode}, projection={'_id': True},
+        user_id = client2.find_one(
+            collection2, {'EmployeeCode': EmployeeCode}, projection={'_id': True},
         )
         print(user_id)
         if not user_id:
@@ -229,20 +305,19 @@ async def update_employees(EmployeeCode: int, Employee: UpdateEmployee):
             image_filename = f'{Employee.Name}.png'
             pil_image.save(image_filename)
             logging.debug(f'Image saved {Employee.Name}')
-            face_image_data = DeepFace.extract_faces(
-                image_filename, detector_backend='mtcnn', enforce_detection=False,
-            )
-            embedding = DeepFace.represent(
-                image_filename, model_name='Facenet', detector_backend='mtcnn',
-            )
-            logging.debug(f'Embedding created {Employee.Name}')
-            embeddings.append(embedding)
-            os.remove(image_filename)
+            
+            # embedding = DeepFace.represent(
+            #     image_filename, model_name='Facenet', detector_backend='mtcnn',
+            # )
+            
+            embeddings.append(calculate_embeddings(image_filename))
+            # os.remove(image_filename)
+
         Employee_data['embeddings'] = embeddings
 
         try:
-            update_result = client.update_one(
-                collection,
+            update_result = client2.update_one(
+                collection2,
                 {'_id': ObjectId(user_id['_id'])},
                 update={'$set': Employee_data},
             )
@@ -285,7 +360,7 @@ async def delete_employees(EmployeeCode: int):
     """
     logging.info('Deleting Employee')
     logging.debug(f'Deleting for EmployeeCode: {EmployeeCode}')
-    client.find_one_and_delete(collection, {'EmployeeCode': EmployeeCode})
+    client2.find_one_and_delete(collection2, {'EmployeeCode': EmployeeCode})
 
     return {'Message': 'Successfully Deleted'}
 
@@ -306,20 +381,38 @@ async def recognize_face(Face: UploadFile = File(...)):
     """
     logging.info('Recognizing Face')
     try:
+        # Code to calculate embeddings via Original Facenet model
+        
         img_data = await Face.read()
-        with open('temp.png', 'wb') as f:
+        image_filename = 'temp.png'
+        with open(image_filename, 'wb') as f:
             f.write(img_data)
-
-        embedding = DeepFace.represent(
-            img_path='temp.png', model_name='Facenet512', detector_backend='mtcnn',
+        # embedding = DeepFace.represent(
+        #     img_path='temp.png', model_name='Facenet512', detector_backend='mtcnn',
+        # )
+        
+        # Code to calculate embeddings via Finetuned Facenet model
+        face_image_data = DeepFace.extract_faces(
+            image_filename, detector_backend='mtcnn', enforce_detection=False,
         )
-        result = client2.vector_search(collection2, embedding[0]['embedding'])
-        logging.info(f"Result: {result[0]['Name']}, {result[0]['score']}")
-        os.remove('temp.png')
-        if result[0]['score'] < 0.5:
-            return Response(
-                status_code=404, content=json.dumps({'message': 'No match found'}),
-            )
+        
+        if face_image_data and face_image_data[0]['face'] is not None:
+            
+            plt.imsave(f'Images/Faces/tmp.jpg', face_image_data[0]['face'])
+            face_image_path = f'Images/Faces/tmp.jpg'
+            img_array = load_and_preprocess_image(face_image_path)
+            
+            model = load_model('Model/embedding_trial3.h5')
+            embedding_list = model.predict(img_array)[0]  # Get the first prediction
+            print(embedding_list, type(embedding_list))
+            embedding = embedding_list.tolist()
+            result = client2.vector_search(collection3, embedding)
+            logging.info(f"Result: {result[0]['Name']}, {result[0]['score']}")
+            os.remove('temp.png')
+            if result[0]['score'] < 0.5:
+                return Response(
+                    status_code=404, content=json.dumps({'message': 'No match found'}),
+                )
     except Exception as e:
         logging.error(f'Error: {e}')
         os.remove('temp.png')
diff --git a/ImageDB.faceEntries.json b/ImageDB.faceEntries.json
new file mode 100644
index 0000000..e66b191
--- /dev/null
+++ b/ImageDB.faceEntries.json
@@ -0,0 +1,3512 @@
+[{
+  "_id": {
+    "$oid": "65eaae4c776c51b6bf624193"
+  },
+  "EmployeeCode": 2309,
+  "Name": "Prajapati Harshad ",
+  "gender": "Male",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T11:50:49.791Z"
+  },
+  "embeddings": [
+    {
+      "embedding": [
+        0.33453500270843506,
+        -0.7705240249633789,
+        -0.504865288734436,
+        -0.5299685597419739,
+        -1.0996897220611572,
+        0.8319504261016846,
+        -1.5410760641098022,
+        0.46137410402297974,
+        0.5872859358787537,
+        -0.1750691682100296,
+        -1.3940693140029907,
+        -0.9202180504798889,
+        -0.295657753944397,
+        1.0366781949996948,
+        -0.23996812105178833,
+        1.246720314025879,
+        2.2537214756011963,
+        0.4356587529182434,
+        1.19344162940979,
+        -0.29697829484939575,
+        -0.11266907304525375,
+        0.7297248244285583,
+        1.4572378396987915,
+        0.4148422181606293,
+        -0.6344023942947388,
+        -0.3937603235244751,
+        -1.8063404560089111,
+        -0.7201652526855469,
+        0.1605868935585022,
+        1.2925738096237183,
+        -1.195594072341919,
+        -0.534735918045044,
+        -1.3664110898971558,
+        1.2708995342254639,
+        1.6642605066299438,
+        0.9745913147926331,
+        0.1533963680267334,
+        1.4545873403549194,
+        2.096132755279541,
+        0.7281702756881714,
+        -0.6640903949737549,
+        -0.16131672263145447,
+        1.4419816732406616,
+        0.7222694158554077,
+        0.42615726590156555,
+        -0.5428513288497925,
+        -0.5175833702087402,
+        0.7209972143173218,
+        -0.784372866153717,
+        2.3901591300964355,
+        0.4693150520324707,
+        -0.5183285474777222,
+        -1.050457239151001,
+        1.0802385807037354,
+        -0.6473079919815063,
+        -0.6709868311882019,
+        -0.2219003438949585,
+        -0.43908774852752686,
+        -1.9380203485488892,
+        -0.27124443650245667,
+        -1.948439121246338,
+        -1.383996844291687,
+        -0.14965781569480896,
+        -0.6706768274307251,
+        0.048788852989673615,
+        -0.17775093019008636,
+        -0.7194550037384033,
+        -0.042192958295345306,
+        -1.9492995738983154,
+        -0.7057491540908813,
+        0.8413459658622742,
+        1.3162257671356201,
+        0.852638840675354,
+        -0.5935903787612915,
+        1.0186421871185303,
+        -0.4935278594493866,
+        -1.024427890777588,
+        -1.5194820165634155,
+        -0.48678046464920044,
+        -0.5639861226081848,
+        -0.25423189997673035,
+        0.25708264112472534,
+        0.7042739391326904,
+        0.5780608654022217,
+        -0.4760245978832245,
+        -0.007045656442642212,
+        0.24417473375797272,
+        -0.37066173553466797,
+        -1.1287869215011597,
+        -0.24199149012565613,
+        1.4442576169967651,
+        1.0822880268096924,
+        -0.9904749393463135,
+        -0.329404354095459,
+        -0.8796785473823547,
+        0.9966427683830261,
+        -0.22361063957214355,
+        0.4391094148159027,
+        -2.5707485675811768,
+        -1.0447618961334229,
+        1.4932928085327148,
+        -0.06321597844362259,
+        -1.2231234312057495,
+        -0.22648416459560394,
+        -1.751389503479004,
+        -1.6298267841339111,
+        -0.6079196929931641,
+        -1.652371883392334,
+        0.637193500995636,
+        -0.8859696388244629,
+        0.9532730579376221,
+        -0.9881479144096375,
+        1.7175642251968384,
+        0.4537724554538727,
+        0.13171011209487915,
+        -3.687441825866699,
+        2.011244297027588,
+        0.26814359426498413,
+        0.12859100103378296,
+        -0.7858617305755615,
+        -0.2936539053916931,
+        -0.7759518623352051,
+        1.8590770959854126,
+        -1.205005168914795,
+        -1.5845832824707031,
+        0.17595311999320984,
+        0.27582064270973206,
+        -0.4045197367668152
+      ],
+      "facial_area": {
+        "x": 251,
+        "y": 117,
+        "w": 131,
+        "h": 171
+      },
+      "face_confidence": 0.9999984502792358
+    }
+  ],
+  "Image": 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ydU/pW5PBWHqn9Kz9n5nQeW+MP9dL9K8Q/aU+yf8ACstb/wCm+m+TXunjGD9/Xhf7UP8AyT/UPpB/6PgrnND4/wD+Ec86etbSvCtp/wA+laMFjmetvRLHtU8pPMaHw58G+ffw2n2SvqX4V/DLSYJ7S0/smCvF/hJZf8VHaGvrb4ZaV5F9FUmnKfox5LVLUX/HvPUtfSrc8EKKP9fRW4B5/tRRRQTyhRRVitA5QooooJCpKjooAKKKKACiiigAqSo6KrmAKkqOpKoAooooAKlh6VFUsPSgBKKKKACiiigApfJHtSUUHOVft1p9u/sn/lr/AK6iefyP+Pus6+sfsOuf2t9r/wBfc1Nqv/LH/njWnsyeY1of9RSVi2/jHw99u/sn7X++gq1PrnkQTXefN8j/AJYQUvZz7Bzw7mxVelgn8+D7XR59p5/2TFP2nkUJRRUc8/2GtAJKKXzz/eqKgAn7VHRTbmgCpN1qpPY2k/8Ax92lW5utVIP9T+dZ+08gM/8Asr7DP/ol1+6orQqp5I9qzNOQirD8V/8AHvaf9fP/ALQnrcn7VieMf+PG0/7CX/tCeubEbm1CB1en/wDHtXiPx+/5LJD/ANilYf8ApffV7fY/8e8X1rxD4/f8lj/7lGw/9L76vPrnbh9zjv8Alt+FS21Rf8tvwq3B3rkNSSlggo8ke1W4IK0Ah/5ecVN5HvRRQZhUlFFABViiigFuFS/8sfwo8j9xSU1uZkdSf6ilMHkHikrcAo8/2o8j3og71n7TyAX/AJbfhU9FFZmgVSvuv4VdqlfdfwrMrlMO+/pWTPBWte/68VlXHT8az9p5FFS46/hWRq1blZOqwVmac55l4xgxPNmvBv2moP8Aih9RtM/6+5sf/S6CvevGP/HwPpXjfxisRqs+k6T9l83z/ElhDWPMdEPfPnCDwrdieuh0rw5eV67/AMKdu/8AoE1bg+GV3Bz9krH2nkbey8zk/hlB9h1yKvqD4ZX37+KvC7Hw5d2Oqxf6HXrHg6+u4PJrQk/TCikh61LX0q3PnwooorcAqxRRQBXqxRRQAUUUVoZhUlR0UAFFFFABRRRQAUUUUASUUUVoAVJS+SPakoAWbpRD0o8g+RRD0oASiiigAooooAKKKKAI76C0no8j9xUlFBn7PzKv9h6TBB9kNpB/z2og0O0q3N0qer9pPuP2dPsZsGleRP8Aa/tdVNVnu9KsZbs/62C2rVpfJHtUB7OHYyZ9V+w/6X/z3qaD/Xzfa6lvrK0m/wCPupvI966DDlIZ9VtILiG0+yf6/wD5b1NUPkefRPB9ooKD7T706qV8bw/8ehqp/ap+39fK8j/j5quUnmNGb/UVnQf6n86mgvvPgo8/7R0rlKW5DP2qpN0q3P2qK4/49/xoN1sVKw/GP/HjF/19VuT9qw/FUHn2MJ/6ea5q5qdZp/8Ax7V4v+0L/wAlhh/7FKw/9Lr6vbbD/URV4v8AtCwH/hbdp/2KUH/pdfV59c68PucVVmHpVarVj0/GublNSX7OfQflUsHejyPeiqAkooqxQAVJ5HvUdSUGZHUsEFS21OoAKKKK05wK/ke9L/yx/Cp6pTda0Al8/wBqPP8Aao6krnJ5SxRVerFBfUKgvu/1qeqU3WsyzDvv6Vnzz1rap/WsOeCucCKftWdqv+orRn7VnatnyJaDdbHmfiv/AI+JvrXD6Vof/CR/GnwR4e/57+JP/RFjfT/+0a7fxV+/nrP+B+lf2p+2J8ItJ/6mTXZv/LU12uWuaw9w9Y/4VJaefN/olVL74ZGCf/j0r6E/4Qc+f9srO8R+B/IrlO7lPlDxH4O8jxV/x6V0Oh+HP3+Psldj448Hf8VHDW5Y+DrTyP8Aj0rQk+q6POPvVP8Asrz+t3P0og0O0g4r61OHc+XNDz/arFUoIPJqWtwLFFFFABRRRQAUUVJQBHUlFR1oTyhRUlR0EhRUlFAEdFFSUAR1JRRWgCQT1LS+SPakoAKKKKAF88/3qSiigAooooAsVXoooAWbpSUVHQBJRRRQBYqvRRQZ+z8wpfJHtSUV0GZHRUvkj2qKgCG4/wBdUM8FpPB9kqa5qKees/aAZM/hW0gn+12n7qoZ4PsNjNWtP/x7mqk/77rS9pPuaKBUM/n9KPJHtRPBSVlzGhHP2rI8RwYsf+3mteftWdqv+o/7eawqLnNDprGD/QcV4v8AtDf8lOtP+xbt/wD0fPXsdh/x4xfWvIv2hf8AkoFp/wBi3B/6Pnrz652U/cOEq1Y9PxqrV+x6/hXIaFmnW/T8abRVcwBU8PWoKsVQEnke9WKr1YoJ5QooooDlCiiigkrz9qIO9LPPUVAEn+oqxVOjzj70ASef7VYqCCep6nmArz9qim61NPPVS46fjUmhn33T8azZ+1XL6es6eeucCpP2rO1X/UVoz9qydVn/AHHSp5joPN/FX+urc/Y00P8AtX9uDwFd/wDQK03xJef+UqeD/wBvayfEc/7+aux/4J6wf2r+3BaWf/Pj8LvEl5/5PaFB/wC165a8TaEeU+14PDtZOueHPeu9+wn2rJ8R2P8AoOax5Ts5j5w+Kmh/Z/GUVaFjY5t80fFu4+w+KovtlEHiPSYPK/0uDzqU5chJ79RRRX158uWKKr1YprcAooorcAooooAKkqOiq5gCiiiqAKkqOpKCeUjoqSigkjooooAkoqOpK0Al/wCWP4UlR1LD0oASl88/3qSo4O9AElFFFAFiiiigAqvViq9ABS+SPakpeYDQAQQUlVb6c9j5VVL7xj4TsZ/sl34hsYpv+eH2mtPZTl8KuR7WnH43Y1aWbpWToeq2l9PL9ku/Oiqaxvrv99aXn+tgrMXtPIt0VTsdV+3T81NBP9ooMyaiioftPvQaKA6qU3WpZ+1VJ56DQWe48iCqkE4ngqXz/aqn+iQQf6J+5qeYCaeeoZulHnn+9UVSVyhP2rJ1b/Uf9vMH/o+tC5rP1b/jw/7ebf8A9HwVhiJF03yHTaf/AMe1eRftC/8AI8add/8AUE/9r16xY/8AHn+FeQ/tDf8AI86d/wBg3/2vXDXOqn7hxVXtL/11UatWPT8a5uU1L1FFFHKAVYqvVijlAkg70ef7VHRVASVYqvB3o/1FBPMHn+1E/ao6KCRJ56i+0D1P502o/P8AagCSio6KAJvtA9T+dTVXqxWZXKFV6nm61BQUZerVk3HT8a3L7p+NZE3Wg09p5FCsLVf9RNW5cdfwrJ1z/Un6Vzmh5vrk/wC/r0L/AIJpHz/22dW1b/nx+Ceuw/8Af/XfDf8A8ZrzjWv9dLXQfsW+Mf8AhB/jv4y8Q46eAILP/v8A6rBP/wC2VcuIOmn75+jM2uWkFcnrfji08ibnyq8A8R/tNXfn/wDH5PXmfj/9pS71X/j7u651E3Os/aa8f2n9uRfZLuvIZ/iNq9vP/wAfc9eRfFT4t/aNc/0S782uSuPjvq1jYy3f7iorynL4HcuEec/Z7zj71JUXktUtfYnygVYqvVimtwCiiitwCiiigAqSo6KAJKhtqdUlABRRST3Hk1oAtR037T706gAooooMwqSo6krQAqSo6KACpRP5HWoqKAJYJ6Slh6UTdKAEooooAKKKKAClm6Ueef71RUAQ31laarYTaTd/6qf9zWf/AMIb4e6/8I9Yy/8AXe2rWqH7d5H/AB9igAsdKs7Dzfslp5Pn1F9h/cS2n/Pej7d5H/H3+6iqX7T70AZ8/hzSfI/0T91/1wqWxsRYj/ntNU3n+f0qGe+xT5p9zPkCx1UTmX/phc0Tz1U/0SCs/XPEdppUH2u7u4IYv+e89zUcxoa099XJeOPEf9l/ZM+f/wAfP/LCvnH9oz/grL+zL8D7678Pf8JZ/bmrQf8ALjpX76vij44/8F3Pix4jvv8Ai2PhPStEtP8AnvPc+dNWX1+hR8yvqtev0sfqL/wtTSfDljD/AMJDdz+VPbQTW08Ft51S6H8TdJ8ST/6IZ/3/APx7V+G3ir/gqv8AtTeI5/td344/8lqXw5/wVl/bG0q++12nxjvoZv8Ar2g/+MVyzzPCz6fj/wAA1hgq8Ptfh/wT93r7xH5FxaWn2v8Aez3P+orS+3D3r8UfDn/BaT9qX7daXeq6tpWoeR/z302von4H/wDBbnSdcm+yfG77Dofn/wDLextp5qqnjaE+o/qtfsfo8J/P61n6tP8A6D/28wf+j4K4j4V/tGfDL4qaHDq3hPxDBdwz/wDHtP8A8sZ67HXL7/iVY/6eYP8A0fBTqSpz6lYc7LSv+PGvJ/2jP+Rr0n/sGT/+lFem6VP/AKDXk/7Sc/8AxUeif9g2f/2hXJXNcPucR/y2/CtCHpWVVqG471yGprUVD/r6dQBYoqOiq5gJKsVXoqgLFHnH3qvRQBY84+9Q/aB6n86bUdBPKE89U6nuOv4VBQStyxUnn+1U6Xzz/eoNC35/tUlVoJ6lrMCSo6Kh/wBRQBUvv6Vnzda0Z+1Z03WmtwM+eCsnXIP9BrXqlqv+ormN1seW65B/rq4ix8VXfgDxVqOrXfh6+u4r7TYIf+JVcwQ/6ief/wCPV6brlj+/rDv/AAraT/8AH3aVzmp574j+Lf264h+yeHtcii/54T3ME1cnffEa7n/5lOeb/t5r1Ofwdaf8+lZ0/g7Sf+fStLQ7AeRX3jG0nH2u7+E8E03/AE3/AP3FZM/j/wD6ojYzf9vMH/xivaJ/B2kz8i0rPn8AaT/0CYKmEuQipThV+JH6yVY84+9V6sV9EeMSef7UUQd6KACrFV6sVpyAFFV6sVoAUUUUAFSVD9p96dQBJUN9b+fB9kqaobmgCKxsfsMH2T/XVPRRWgEEEH7/ABU9FFBmFFFSUAFFEHepfJHtWgEUHeipfJHtR5I9qAEooooAKKKKACiiigBfJHtUVSVHQBHVLXLC7voIfsl35UsFXagg+2f8vdAEN9D9usZrS6/c+f8A88KOIKWsjVb77DBU8w/Zw7Bquu2ljBXi3xb/AG9fgP8ACQS2niHxZB50H/fmvnz/AIKI/tUeLPCvg7xN9ku/smk2P+h23/TeevyI+Knxw8Q+Kr77Vd+IZ7v/AK7/APLCuDF4v2fU7KeGhM/Tr4/f8F8f+Ecnu9J+Dnw90rUP9G/0bVdVuZ/3E/8A1w/+318G/tJ/8FO/2mv2jPOs/G/xNvodPn/c/wBlaV+5sq+dZ9c1bVf9DNdP4A+B/izxjcf8en7mvGr43/n6z1sJl1Sr8MTnr7xHq19VSc6tPxXv2lfsvaRYwf6X+9mrXg+B+k2P/LpXjV80PewmQ1JfE0j5qOh+IZz/AMek9H/CKeIP+fWvpqf4SWnk/wDHpVSf4O2n/PpXF/a/kej/AKtef4nzh9h8Q2NaFj4r1ax/0S7Ne033wr/6c6xL74ZD/l70muqhmRw1+Hq5z3w5+LfiHwPqv9reCPFl9pN3P/x8z6VqXk+fX25+x3/wVl+IWlarafD343eIfO06e5ghttVvv+u8H/gPXw7rnwkurEfa7S0rk/t2raHP9ku69Ohir/C7nz2Ly6pS+KNj+nP4V+OdJ8Y+FbTVrTVoJoZ7b/lhXEftKXGfFWh/9g2//wDaFfjz+wH/AMFUPG/7MuuReE/iFq19q3g2f/lh/rprH/rjX6f6r+0Z8J/2hdK8PeN/hP4ssdW0/wDs2+/fwXP+o/1FehTqQn1POsS/aP31a1hP7Vz0E9a1jPSKNHz/AGqXzz/eqtUkHegCXzz/AHqm+0H1H51Un7UQd6rmAt2/X8Kl8/2qnU/2g+o/OqAl8/2o8/2qOoPPP96gCb7QfUfnR9oPqPzqp5/tR5/tQBLN0qKio6AJPP8Aajz/AGqOiswLPnn+9UsE/wC/qjUnn+1AGh/qKhnn+0CovPP96koAq6hWfcdPxrQ1Cs+46fjWftPICGftVW+/1P41an7VUm/1FZm62OTvoP39VJ7Cta+sf39VJ4KzGZM9jaetZ8+lV0M8FU/I96AMX7BZ+h/Oqc+k2ldD5LVFPY1XKP2lPufoNViq9Fe8eMXKKi/5Y/jU0E9ACVYqvVigAooorTnAKKKK0AKKKkoAKKKKAI6koqSq5gI6KKKoAoqXyR7UlABRRRQZiw9KSiiq5iuUKKWHpSUcwcoVYqvRUlFiq9FFABSzdKPPP96op+1ABUdNuainnoAhvp64j4jeMtJ8OaHd6tq135UUFt/r6m+KnjHSfA+h3fiHVruCKKC2879/X45f8FJv+CjHiz4/eI5fh78PdWntPCdjc/6+D9z9urkxVanA2p0ufqRf8FH/ANuD4e/ECDVvhl8PLSx1a0vv+Pm+ntv9RXwPBpV34jvvslpaV0PkXfiPVv7Js7Svb/hJ8D7TQ7GG71Y18tjsf5n1OVZX9Y+I574H/s9WkEH9reIa9t0rSrTQ4PslpZwQw1NBBaW8H+iVD558/rXzFfETPusJgYU/hjYWeeiD9/zSVNBB2FeTOpOfU9aFGECaxsfProdK8D2lxDWdpVlXY6HfeQPsl3W1CRFeJlWPwktL4YrI1z4V+RP9ktLTzv8At2r0Oxvrz7d/olp+6rsdD/10N3aH97BXowjznn1Jzgtzwuy/Zz1bVZ/+Re/8lq5T41fsTeRpX2u70n7J5/8Ax7TwW1fXU/xG8PaTpX2T+yfO1b/XefB/qaxPiN8abTxj4Vi8PataQQwwV6UKVCl8MmeHX9viNJQ93tc/Kr4qfCvxZ8K77/ibWn7r/nvXWfsu/tNeLfgR44tPEOkjzov+XmD/AJ7wV9K+P9D8J+MbGbw9q1pBNDXyT8Yvg7q3wk1z/RP3unz/APHtPXo0K8z5vFYL2Xwqx+yPwP8AjF4T+MXgfT/G/hPVvOhntv8AttBXp1jP7V+T/wDwTK/aMu/B3xb0n4e+IdWn/s7VfPh/8gV+p+h33nwV6FP3zyp+4bkE9T1BBPUv2n3rcwHVJB3qOnwT0AS0vnn+9UVFAEvnn+9UXn+1FR1XMAUVXn7UVQCzz0nn+1RTdai+0D1P50ATVJ5/tVOigC7BPVus6HrVu2rMCajz/ao6koAh1Cs+46fjVqftVOgAqP7H7frUlFZ+z8zTnI59JtKqf2TaetaNx0/GqtHs/MPaeRSn0q0qL+y7OrVFHs/MzM+fQ7Sov7JtK1aj8j3rMnmPsSrHnH3qvToP3/Ne4cJLD1paSeCpoIKAEooooAKsVXoprcCxVerFV63AsVJVOrFAElR0UUASVLD0qtUlABUv/Lb8KiqXzz/erQAm6UlL55/vUlABS+ef71Hnn+9UVAEsE9JUdHn+1AEvnn+9R55/vVWqSDvQBJSzz+RSVHP2oAPP9qKjooAKKbc1U+3H2qeYCaees6+vvIgmqWeeuf8AHF99i0O7u/8Ap2rH2nkB+cP/AAWB/bSu4IJvgN4T1byfP/falP8A9MK/L/XL4z12/wC1D8TdX8f/ABi8Q+IdWu/Nmn1uf/0fXnGlQf2rPDXz2LxM6h9DgaMz0L4H+DvPvv7WurSveYB5EGa4j4V6F9h0qL/RK7HyPevkMViPa1eeUj9Fy7DU4UuQm+0+9VJutE3WpdKh8+vNnLnPWoQCrmk48/8A0utCDSvPgrQg8OeRBjNc/tfI7PZ+ZNpUFdDYwefBis7SrGunsdKqTOfvhYweRWhYard2XSovs/76i4sa6cPUn3OStS1tci1U2k9v/wAfdcR4x/48a7G+gu/Irk/FUHkQc16Z5nKeZa5ceR0rmPFWhWnjjQ5vD2rfvfPrp/EXeuT8/wAifmqoVJ9zhxeH5+h8932h+LPhl4x/0S7ntLuxufOtp4K/Xb9i34/Wnx++B2k+N/tf/Ewg/wBD1uD/AJ4X8FfnZ8W9DtPEeh/2sP8Aj7grt/8AglR8abvwN8fpvhl9r/4l3iq2/wBR/wBN4P8A7R51fSYWr7TofGY7DToVeTc/UqCernnH3rDsb7NW4J69I8o1asVmQT1P5x96ALlN+0+9VfOPvR5x96ALX2n3qGftUfnH3o84+9AElRTdai+0D1P51D5/tQATz0ef7Uef7VF9oPqPzrQCWCeiovtB9R+dSwd6zAtw9amgnqp9oHqfzqWHrQBdopsE/wBoo/1FAEM/as+ftVubrVSftQAef7VN9oHqfzqGDvRQAf6+o6kg71HQBXoqxVegzI6J+1SVHQB9jW/T8aSCeoqm+0D1P516hxkon8/rS+cfeq9FAFjzj70ecfeq9FAE8PWl84+9V6Ka3Asecfejzj71XorcC55/tU32n3rNp32gep/OgDQ+0+9H2n3qpBPS+cfegC5RVeDvR5/tQBYqTz/aoftPvUNVzAXKPP8AaoYbjvTqOYCTz/aiqnn+R1o/tW09DRzAW/I96KqTz+RUMGq/v6OYDRo8/wBqw9V8Y+E9K/5C3izSrT/rvqUENYmq/H74OaV/x9/EKxl/68fPm/8ASejmA7zzz/eqKefyIPteK8n1X9r34OWMGbT+1dQ/68dN/wDkjyKw779tnw95H/Ep+GWq3f8A1/XMEP8A8fqQW569pWuHVYP+QTPaf9d60q+br79sT4hTz/8AEp+Huh2n/Xe5nm/+MVh6r+1R8br7/RP+Eh0rTv8Arx03/wCSKz9p5HQfUE3Wqk/avkTVfjv8WL7nVvizqv8A243Pk/8ApPXHar4ju9cn/wCJtq19qP8A1/XPnVPt4FU4Tn0PtHXPHHhPQ/8AkYfFljaf9d9SrgvH3x3+CP8AZU1pd/E2xl/0b/lx/ff+k9fMv2H/AJdNJ8Jz1UvvB3jfVYMWnh/yv+u/+prj9v8A3jX6vUPyq/ah8OeHvDnxp8WeHvCd3PLp8Gtz/wBmzz/8t4K574d6Vd32uxWlrXo/7Zfg7V/Cvx+8Q2mrWnlS/afOrP8A2ZdD+3eI5dWvLT9zBXzWY1KcKXPc+jyql7bFb2PY9D0r+yrGK0q39m9qtz2NZ99fWljB/pd5Xx1SXtavPE/RYR9n8WhLbVbg+yQD/j8rz3xj8RrOxg+y2n72auOn+NN5Y8XdpXVTwdefQ56mZUIH0fpWraSJ/wDj8grpoL7SZ4K+Pp/2jNW0r/j0rR0P9q/xDPff6XpMEtZ/2TP2fPYj+3aHteTX7j67sYLSCtyxn/cV89+HPj99osIv9E/ez/8AHzXsXg3x/aeI9Jh5riqUuTqelTq+06HWzf6is7z/AGqpfeKrSCD/AI+64LxH8YvD2lT5+2VdCRNepDud7fX1c94jntPIryHXf2k9Jhvv+Puop/j94eng/wBE1avS9hM8qpi6EPtI1vFVj/z6VwV9BdwT8Cus0rx/pWuQf8fdZXiOC1n/ANLtK05jmqOFX4Wcxrk/+g1x37L32yx/ao8G/wBk/wCu/wCEkrt9Vsf3Fcb+zLBdz/tmeA7S0/13/CWwV7GUnzGc/u2frtpV958Fa0F/XM2M9aEE9e2tz59bG5BfVLBPWV5x96m+3D3rcwNX7cfaj7QfUfnWTBPUv9oe36UAaP2g+o/Oj7QfUfnWd9p96l+3e4oAufaD6j86J56zvtPvR9p96ALfnn+9SVV+0+9ENx3oAt+ef71TfaD6j86qVLD0quYC3BPU1v0/GqtSQd6OYC55x96kqr5/2frTaOYCebrVT/X1LPPVapAko/5a0Qd6kquUAqOpKKOUnmK9FSTwVF9nPoPyo5SSHyR7UTdKnqvRygfXlSVHRXocxz+z8ySio/P9qPP9qOYPZ+ZJRTvtA9T+dQ+f7VQez8ySio/P9qPP9qnmD2fmSVHPPVS41y0g/wCXuCs+fXPW7o5g9mZ3xG+Jv/COQf2T4e/0vVv+eH/PD/pvPXQ+FdctNc0qG7tLvzq5nVZ/A/23/hIbvw95t39m8n7d9m/feRUNj4/tNKP2TSfD3/kz5NNVJ9y+Sn2O38/2on7V5vqnxU8Q/wDMJ0mD/tvWVP8AEb4s3v8Ax6fuv+uFtWvtPIwPYoJ6n84+9fP99rnxNgg+16t4svof+u9z5Nc/fa5pP/H34h+IUE3/AF31LzqPaeQH0fq3iPw9pP8AyFvENjaf9d7msOf40/DKx/5myCX/AK4fvq+cL7xX8PbHj+1p5v8ArxtqqT/E3wnB/wAgnw9fTf8AXe58mp+sUO5fs6nY+ir79pP4ewf8en9q3f8A1wtv/kiud1X9qi0/5hPgi+m/6/rmCH/4/Xhlx8Rruf8A5BPhOD/tv59S/wBq/EK+/wCPS0gh/wC3ao+t0O5r9Vr9j16+/ab8b30GNJ8J6VF/138+asS++NPxjvv+YtY2n/XDTa4KDwr8TdV/4+9Wnh/64XNTQfA/xDff8ha7nrmnjYVFsy/qc4/E0jVvvip44n/5C3xNn/7Yal5Nc9qviq01X/kLeLL67/6YT3M81dPY/s6Wn/L3djpXQ6H+zZpPn/6J4e86X/r2o+sTk/djf5/8Af1T+9+B45Prnh7/AJdNJnm/6Yf6mprGe7n/AOPTwnPX0dof7PV3/wAunh7yv+u9dPpX7PX/AD9/YYaPa1+xr7Kh3PlWDQ/iFff8enh7ya0IPhX8Q76f/S7v7J/1wr62sfgfpMHN3d+bW3Y/CvwnY9NJ83/rvR/tEvi1JvD+U+RLH9nrVr7jVtWnrodK/ZXtJzzaX13X1hY+HNJseLS0ghqb7CPej2PmLmPnDSv2SbX9z/xScEP/AE3nroLH9l60g/58Yf8At2r26eCqtx1/Cl7KHYv21TueYwfAHwnBzdmeb/rhVz/hVfgiCD/kE/8Af+u3voK434m+P/D3wy8Hah438Q3nk2ljbedc1z1KdOl8aNqb9r8J+R//AAXx+GWleBvjv4T8Q6TaQQw+I/Dc837j/nvBPXz1+y9pX2Hwdd6t/wA97mvef+CwP7UPw9/ahn8J3fhPw7qun3fhz7fD/wATW2g/fwT+R/qf39eRfCSx/sP4cafaf897bzq+czWVOWG913Pq+HKE44n3tDrL6+MEFeT+OdV1bVdV/wCmX/PCvSL6e7vrGa0rzfxVPZ2JxXzeElyH1uLftKXIcnPY3c9Z8HgfSdVnzd6vRquq2fn/AGvxDq32SL/nhUMHj/SZ9VtPD3hLSb67mvrnybb/AJY16fsqx4lRYWl8SLd98JPBFj18Qzy0WPgjSbGf/RK5PVfHF3farDpP/CPT/a5/+WEFz51H9q6tpN99kzPaS/8APCepr4eu/ik2VQrYWNXnjBI9Y8OaVaXw/wBEr1j4cwXdjBDXz34V1u7gvoq958AeI9Jnsa8OvGufT4SdCdLnLfxG8c3elQV4B4x1y71Wab/S67L40+I7TSp/sn2vzq8n/tzz5/tV5/qq9PCUKkDxcxrwnV5DD1zSfEU8/wDon72sm4g8Q2P+l/v/APrvXe2Ouef/AMelp/3/AK6exvrsWP8AyCYJq9GGLnA8KeApz+0zzHw54j8Q6VP/AMffk16b4A+I39qn+ydWu/3tcn4qvdJnn/0zSfsk09Yk/wC4n/0StV+/8jH2k6HW57zB/p0HWs79h/w59u/bu0+0/wBdDof9rXlz/wB+J4P/AGvUXwyvru+0OL7X/ra9j/4J6+B7SD44fEL4hf8ALX9xZ23/AG3/AH83/tCunAx/fchzZp/D5z7Msf3FX6z4O9W4J698+YLn2g+o/OiCeqcE9Teef71AGj9oHqfzo+0D1P51neef71Hnn+9QBo/aB6n86PtA9T+dVPtB9R+dQ+ef71AGj9uHvR9uHvVT7QfUfnR9oPqPzoAt/aB6n86m84+9Z32g+o/OpYJ6ANGCepYbjvWT5/tVuCegDR8/2qXzz/erOqaG470AaP2g+o/OpfP9qqeef71T1XKBJPPRB3qOrMEFHKTzBBBSVYqTyPeqJKv2ceh/Kj7OPQ/lU1FAEP2ceh/KofI96t+S1HktQBUngqKeCtDyWqCgD6Rn1zSbG3+13d1BD/13uazp/ip4Ig/4+/EMH/bD99XiM+lWmlT/APE3u7GH/rvc+TVT/hI/BFj/AMffjex/7YefN/6T1180O5z+0Pbr747+E4P+PQz3f/XC2rJn+P1pAf8ARPD19N/13ufJryKf4jfD2w/49Pt13/1wtqqT/GnSf+YT4I/7/wCpVPtKfc25J9j12f48eIf+XTw9Yxf9d/31Rf8ACzfiFff88If+uFtXkM/xp8bn/j08P6VD/wBu1Rf8LN+Meqwf6Jq08P8A1423k1H1ih3FTwlefQ9usb74har/AMferX3/AGwqWex8n/kYfFljaf8ATfVdSgh/9KK8Bng+J2uf6JqviG+u4v8ApvqU81WrH4ZeIZ/+e9ZfXKZ0/VZnukHjH4OaH/yFvibpUX/Xj595/wCk9VNV+P3wGsYP+Qtrmozf9OOif/JE9eT2Pwe1aef/AEuuhsfgraf8vYrH65UXw6Few8zW1X9prwP/AMy98Mr67/6b32peT/5A8iuen/aM8WX/AJ39k+CNKhh/69p5q6HSvg7pP/PpW5pXwk8//j00nzaJ4qtPoV9UgeZT/E34x6r/AMel35WP+eFtBDWdPY/FjxH/AMffiG+l8/8A5YT3M9e/aV8Hbv8A6BPlV0UHwWu54P8AS7yCGp9riu5fJRPlqD4LeIbif/S7v/yWrQsfgFd/8vd3X1LD8HdJ6XV3P/2wrRsfhl4Tg/5dPN/670pxr1fiDnonzLpX7PWkwf8AH3/ra6bQ/gfpP/LppPnV9FWPg7SbH/mEwf8AgNWhb2NafU4dyPa+R4ZpXwPu/P8A9E8PeT/13robH4H3Z/4+xBDXrH2Ee9H2ceh/Ktfq9Mj2lTucFY/BbSYP+Pu783/rhWtY/DLwnB/y6ed/13rpanggrb2MDP2lTuZNj4V0mxP+h6TB/wCA1aEGlVbqxWpBBBY2lS/ZvanUUAV/I96KsVSnnoAloqpPPRBPU8wE03Ws+46/hUs89VJ56k0KmoV86/8ABS2xu9W/ZK8T/wBk/wCt+0wf+j6+hZ568x/ah8Knxx8CPFnhP/nvok83/fj9/XmY3/dj0ct/dY6jOWh+IXx30q8n8KxXd3/roLmun+xfYbGK0/5YwW0FH7Rk/wC4tNJtLX97fXMH7+i+n/cZr46vGo8N7yufoVBQWK91WKl9ffYYOa898VXH26eaux1WDz+fyrk9V0O7grkpvkOmu6kvhVzg774ZaTrmq/a7u7nrW8VeB9W8R6VaWl3q3/Hj/wAe0/8Ay2rq7Hw2Z60Z/CvkQf8AH3W31mp/P+BH1Gm6XJKNzxzQ/BH/AAg/iO08Q2l3/pdj++tvPo1z7V4q1ybVvEN3PLLP/wAfM9ehar4OtJ5/+Pvzqzp/DlpBwK1njeTqclPLKk+hz/hyxP2+G0tK9t8AeHPIsq848OWNpBP/AMele5/DKDz7HGK4PaVK2K3se5QoQoYbueJfH7w7d+fNd/ZP31eWfYbzz4bT/lj/AMvM8FfRPx30s319/wBMq8Xn8K3fpXr0JHzWOp05VeeKucx448OWkHge01bwnq19/a32nybmD/2vBWffeI9Wn8Vzf8Ky1bVdOtJ7n/RrG+1Lzpq7e3sbux/5dP3VE8Gk/wDH39kg87/nvWtPEcvxK55k8Lz1efmZyfirxH4hsZ/+ET+IWkwRXf8A0wqLwrB5/wDolaF94V0nVb7/AI9PNrofCvgf7D/z3hoqT5CVTqSq8k1c7LwBB9hgr7G/Y78D6TofgCbxDaf8feualPNc/wDoivkPSv3HFfY37Hc//FldP/7CU/8A6Prvy33mc2a/7sev1JVSCep/OPvXuHgLc0IO9Hn+1U6PP9qDnLlQ/afej7T71D5/tQBN9p96P7Q9v0qHz/ao/OPvQBa/tD2/Sj7T71V84+9HnH3oA0PP9qSCeqsE9J5/tQBo+ef71TQT1nf2h7fpUsE9AGtBPU/nH3rOgnqWCetANaG471bh6VkwT1bgn+0UAaNv1/CtCCCsmCetvSaDMmgsKtwWNW7G371bgsa05CeYyYLGpvsJ9q1oNK8g/wDHpR9h9jWhJifYR70fYR71t/YfY0fYfY1XKBifYR71B9h9hW59hPtR9hPtRymftPI8csfhlq09belfBy6MH/HpPXumlfCvVp/+XOCGuhsfhJd+R/pfkV5HJWPV56J4BZfB2tyy+ElpXulj8K9Jg/4+xWrY+APD0H/LpR9XqFe2pnhkPwytPI/49K1tK+GX/PnpE/8A4DV7nD4ctIP+PS0gq5BY4q/YQMvbzPIbH4SasP8AmE+VW5Y/B27/AOXu7gir0fyR7VN9nPoPyrX2NPsR7Sfc4iD4SaTB/wAfdatj8OfD0H/Lr5v/AF3ro6k8j3qvZ0+we0qdzPsfDmkWP/HppMH/AIDVb+zn0H5Vb+zj0P5U2rH7Qjggqb7OPQ/lUsPWpfI9609n5mZV+zj0P5UkEFT0kPWtADyWoh60tHnH3oASbrRb3HnVDPPUUA8iegnlLc3Wl84+9JxPUFVzElzz/ajz/aovJapYO9HMBYoqvSzz0cwCT9qim61DPPSUcxoRz9qKKjqQEnnrOuatzdKyb6+rnAJ56xPEcFpfWMtpdn91PbeTc1oTz1h+Kp/+JHd5/c/6NU8pufh5+0nB/ZXx3u/D93dwf8SrUp4fI/64T0sMxuK5j9oXXP7V/ao8Watn/X+JJ66HSv39fFZk/ZVfZx+E/Qsmq+1+JXNax0r7dVu+8OWnk9aisZzbwc1oaVP/AKR/pdfPTlUqfEz7GhRp32M7/hFrT2rJn8HXYnr0KCxtO1Z+uT2mhwfa7ryKKa5y69OHY4ifwb5EH+l1z3iODSYP9EtKqeN/ibd3199ktP8AU/8ALzUWhfZPI9629l5nJTnCr8LNDw5odpfT5r174c6V5EGLuuC8DfZIJ8Wlex2Phy8sdDh/561pTfIdNSlz0uS5yfxi8HaTrmlf6If9Rbf6TXg39lf2VqsVpd17R4/vv3H+l/62uDvvDlp4j0r/AI/PKmr0v4vkfO16EKPmZ0/w/tL+D/RKi/4VJeT/APLpUPg74gfYNc/4R7Vv9dBXrHhzVbTyKxvNVeSTsbU6NOrS54o5PQ/g7pP7r7XaUviPwB4e0O3/ANEHm16PPPaz2PFcd4j/AH//AB6Cun6zTPOr4OCqc8dDzeeAWM9fXf7IU/8AxZbSbv8A57+f/wCj56+RPEcHkT5r6V/Ym1zz/hXDpP2rzprG5n/9H17eBkfJZtrV5D37z/apYJ6z/PP96rcE9e0fPFzzj70ecfeoftA9T+dQ+f7UAXPOPvUE89Ref7Uef7UATfaB6n86h8/2qOigCTz/AGo8/wBqqeef71JQBc8/2qb7QPU/nWd55/vUeef71AGhBPVyCesPzz/eqWC+oA3IbjvU0F9WTBfVN5x96rmA1fPP96rdvfViQX1J/avkdKonlOtsb/FdZ4cuLS+n6V5Z/wAJT5Fe0fs2eALTxV4c/wCEs8WWnmxT3P8AxLYPtNXThzmVSfszXsLHNW/I969Bg+HPhP8A6BP/AJMz1Mfhl4T/AOXS0nh/7eZ67fYeZl7TyPPfJHtR5I9q7yf4V+Hv+fu+h/7eai/4VJpP/Qw33/bfyKj2Mw9p5HEeSPajyR7V2M/wkuz/AMeniH/v/pv/ANvpR8K9X8j/AJGyCab/ALBv/wBvo9jUD2nkcb5I9qi8j3rq5/hX43P/AB6Xeh/9t7mf/wCMVVn+GXxCg/6BU3/XDUp//jFV7Op2Mz1iCxyalgg7CpoO9EEFeYegHke9S+SPakqxVcwFerFFFSAn2c+g/KpaKK0AKm+zj0P5U2igAqxVeigCx5x96POPvVenfaB6n8609p5ATUVXp32gep/OtAJqr0UUAFR+R71JRQAUUVH5/tQBJViqdHn+1AFueeqnn+1E89RfaD6j86AJfP8AaovtB9R+dRfbh71Tnv6ANGeeoZ76sme+xRBPWftPIC3Pcd6zp4Ktz9qqTz1mBVuOv4Vh+MYPP8OXf/XtWtN0rP8AEc/kaVN/onm/6NWZ0H4IftenSdK/a28WWmk3f2uGDW/9fP8A89/+W/8A5HrV0PVbSexrP/bu0O78AftX+MtJu7T99Prc95/3/wD39cb4V8cefB0r5TNYXPsMmr04HrNjfeRB9kxWrYz/AL/NecaV4k8+f/j7rprHxVaQV8tXpeZ95hK0JnocHiO0sbHrXkPxU8f+f/olp/rZ6PiN8R/7Ksf9Du68A8Y/FTz777Zaf66u7LcJz9Dz81zL6vV5Inez4ngxWHqvxpu9Dn/sm7/7/wBcHB8W7u4gm+11yfirxV/as9enTwXtfiR83Xzf/n1I958D/tC+RrkX9reRD/03gr6E0P4/f2tpUJGrQRf9vNfnNB4ju7f/AJe66fQ/ip4hsdKz9rnqZ5VzVOeOhthOJZw/ixR9YfGL44eHrH/l8/e15vof7QtpPPN/xNq+cdc8V+Idcn+16rd+bUvhXXPsN9Dd3Yrqp4D2ZyV87nWq8+x7zfa5d6r4j/4SGvdPAHjL7fYw8+TXy/B44tINKhu7uu9+FXxNtL6eG0+11xY6jM9bLcVQnV5Ln0Tfa55EHIrmNV8R1UuPEfn2PWuT8R+I81x01zno4qpCn1JvEerefXsf/BPWfV57HxDd/a/9Eg8ST/uP+2EFfO39qmfpXt3/AATg1W7F94xxd/up9Sg/cf8AtevqMtXIfn+c++fYsE9Teef71Z8E9W/P9q9w+dJKn+0H1H51Uo8/2oAl88/3qPPP96qn2n3o+0+9AFueekqr9p96h8/2oAuef7VT8/2qPzj70UASef7VN9p96z/tA9T+dH2gep/OgDQ+0+9TQX1ZP24e9SwT0Aa/24e9Q/2t7/rWRfX2ai+2e/6UAbn9re/61Tn1ysqfVap/bvcUAdb4Ogu/GPirTvCek/8AH3qupQWdt/23r9DfCnwdu/CvhzTtJ0nwnff2fY23k20/9m1+Of7VGuWn/CpNW0n7HBLDP5H2nz/+u8FeDfAf4SeLPHHiq7tPg34eg067sbaC8ub7Srn7H5FYf2tOhU5OW/z/AOAdn9l+1w3t5TtH0v8Aqf0N/wBl3cAzd2vk0eTaV+MVjB/wUI+GX/Ip/Hn4jXfkf9AP4kat5P8A5MT1uQftbf8ABT/w5/x9/Fj4t/8Ab9ps+p/+lEE9dP8AbMNuR83Yn+xYS+GvF/16n7A/YT7UfYT7V+Slj/wVK/4KEeDoMat8Y55Yf+o54A0qH/2xgrodK/4LSftjWP8AyFv+FZat/wBf3hueH/0nvoKv+2sL2l9xH9hYqXwyi/mfqJPBRBBX52aT/wAFwPjz/wAzD+z54Au/+wVc6rZf+lE89dPof/Bc606+If2OZ4f+m9j8UfO/8g/2VW1PNsDU6v7v+CYzybHU+ifoz7y8geRUM8FfIulf8Fuv2cJ/+Rh+CHxNtJv+nG20m9/9voK6HSv+CxH7F19/x9nxxpP/AGFfCUH/ALbzz1vTzLAz+2Zf2Xjv5G/TU+rKs+ef71RVLD0rzTo9p5CVYqvVigzCiiigCSio6krQAqSo6KAJKKKjoAkqOjz/AGooAKkqOiugCSo556PP9qjoAk8/2o8/2qL7QfUfnUPnn+9QBN9oPqPzpapz31R0AWfPP96l+3D3qrRQBZ88/wB6oqP9RUP2n3rP2nkA6qV9PUs/aqtx0/Gj2nkBDRRUM99WYGjPP+4qpP2ogn/cVFPPQBBVXVYP3E1TUT9qAPxn/wCC1fwy0nwd8d7TxDpP+uvtN/0n/r4r4u0rVfsPGa/Xb/gst+zYPGPwk1D4m2l3/pelW3+jV+NM995E+c14OOie7ltacDvLHxVd+ldDpXirz4P+PuvLbHXPPn5FdZpV95EFfN16NOXw6n12BxXmU/jT4ku7Gx/4/P3teGT33+kV6x8af3+lRXdeOWMH26+r1MJDkwx4eZS58UaEFj59TT+HNW/5dLStvSvCt3B/plp+9rp4P7Wggx9kq/bVO5NPBe06HnEHgDxFfQTf6JPUNj4c8Q2M8tp/ZM9emweI9Wg/5hM9E/iMzn7X9ko9tU7l/UaHaR57qvhXVvIh/wCJT5VYdxY3cFekar4q8+D7J9knrD1W+z/y6VrTrTmcOLoQpL3TmZ767ngrW8D+I7vStWi/0usO+/134VNpU/8Ap0NGIMaFeaq88dD6a0Pxib7Q4sVk6r4r/f8ASue0rXPI0qGsPxH4k/f/AOiVw0ML5Hv47H/7MdPP4q+zwTf6XX0p/wAE4PDurWMF34hP+pvq+LrGe71W+htLQfvp6/Rn9h7wr/wjnwdtLS7tPKm/5ea9zDwPlcVV9pV57Hulv0/GrXn+1Z8E9TfaB6n867Vucq2NKq9R+cfeityPZ+ZJR5/tUfnH3qH7QPU/nQZk3nH3qCeeovP9qKAJZ56J56i8/wBqh+0H1H50ATef7VD9oPqPzqKeeieegCX7QfUfnU3n+1Z/n+1Qz6rQaez8yXVdVMBrPnvvPqpfXHaoftB9R+dAez8zR84+9RT33kQVT+0H1H51k+Mdc+w2MuKipPkD2fmeZftGa55/g7Vv+2H/AKPgrR/4JwQXn/CY+N9W/wCWX9m6TD/5HnrjvjhP/wAUPNgf6+5g/wDR9ej/APBO77J/Yfie7x+9gubD/wBr14sPczM97EKf9h7H0/BBU0PWooJ/3FTV6p4PtPIlgnu4J/8ARLzyf+uFVL6xtNV/5C1pBd/9d7bzqmooD2nkYd98K/hPqv8AyFvhP4Vm/wCm/wDwjcH/AMYrJv8A9nP4DX3/ADTKxi/68bmeH/0nrtqKr2ECvbzPOL79kn4DX0H+i+Hr60/64a3P/wC3FZM/7Fvwnn/49PEPiqH/ALiUH/xivXaKz9nQ/kRX1qv/ADM/RSDvUlVYbjvVuCetuc5yeiq9FaAWKKKr0AWKKKK0AkoqL7QfUfnR9oPqPzoAloqL7QfUfnS0AJcdfwpaKr0AT/aD6j86PtB9R+dQUvnn+9WntPICeoPPP96oZ56qzz0e08gLU89Vft3nz8VCJ/P61BWYFyiqv2gep/OpvOPvWntPICTz/al8/wAjrVOeekrMCeeeovtA9T+dNqOeegCSo556i+0H1H51DfT0AQzz3c/SooIOwp1N+0+9AFueeqn2n3qKeeoZ56ALf2n3o+0+9Z/2gep/OqfiPxVpPhXSZvEPiHVoNPtIP+Pmee5oNOQyfjF4A0n4m+B7vwn4htPNin/5YV+A37fnwB1b4A/H/wAQ6TaeHp9O0SfUp5tE/wCePkV+r/xp/wCCwPwG+HM93pXgjw9feJ5oP+W8Fz5MNfmN+3P+2J8Q/wBtnxJNd+IfBGladFof/Ht/ZXn/ALiD/ptXFjoXZrRnzfDqfMH9qmC45rVg8VXfkfZBXHaqbuCepYL6vnuU97D1pnb+Ktc+3aHNxXB+HILT7dVu+1zz7H7H/wA96zrGf7DSpw5KXIaVJe0q856Rod9a6VXT6Vqvh6+n+yfa4K8muNc/cVnz6rdwf6X9rqfqdQ3p5koH0TBpWkzwf6JdwS0v/CH2npB+VfN8Hj/xDYz/APH5RP8AE3xDP/zFp6PqdQ6f7Zo/ys901zwfaf8ATCvPfFVjpNjXJwfE3xD5H/IWnqKfVru+P+l1106Xs+p5lfGQxC90h1Wx8/mofDlj/p1F9feRUVjfeRWx55019rnkVk/2r5/Ws+e/8/8A+tUuhwXd9fQ2lp/rp6rlMqlWc+p69+yh8MtW8f8AxN067+yf6JY6l/pM9fp/4c0r+yrGK0/5bV4N+xN8D7T4ZeAPtf2uCabVfImr36Ceu6HumBo0T9qh+0H1H50faD6j860My5cdPxqGoftB9R+dH2g+o/OtOQCajz/aoftB9R+dReef71aGfs/Ml+0H1H50T31VfP8AaoftPvQZlueeovP9qp+f7Uef7UATT3HeofP9qqfbh71F9s9/0oAtzz1Unn/f1D9oPqPzqKe+oOgL6eqn2n3qpfT1U+2e/wClc4GtPf1xvjHXBPP9kxVvXNc8iCuO1XVTPPWFadjehC5x3xwn/wCKOh/7CUH/AKInr6D/AGH9K0ix+C2n+IbS0ghu9V8+HUp/+e88F9ff+0J6+a/jhP8AaPDmnc/8xv8A9oT19CfsMX3/ABZaGz/5ZQalPDbQf9t/P/8Aa9cND/fuU9LG/wDItPeYJ6m+3H2rO/tD2/SpvP8AavZ5zwVT03NCCercE9ZME9Hnn+9WhBr+cfejzj71nfaD6j86PtB9R+dBp7TyNHzj70ecfes77QfUfnR9oPqPzrnND9JakqnViug5yTz/AGqXzz/eqKigCXzz/eo88/3qiooAl88/3qhnnpah+0+9AE3n+1JBPSwd6KAJKXmc0lFVzAR0UUUcwEvnn+9VT7T706ijmArz9qi/5bfjUtU6kCxVPyPepKKrmAKjnnon7UVQBRUdQeef71TzAW/P9qiuOv4VD55/vVDPPRzAE89VPP8Aaop56qTz1Jp7PzLc99ij7cfasnVfEek6HYy6tq2rwWlpB/x8zz3PkwwV84fGn/gqT+z38Of+JT4Iu5/GOo/9Qr9zZ/8Af7/4xQHs/M+mp56434tfH74T/A/Sf7W+JvxCsdDi/wCXaCe5/fT/APXCGvzt+MX/AAU8/aP8cQS2mk+IYPDNp/zw0P8A+P18tfE34xat4/vptW8Q+LJ9Qu5/+Pme+ufOrnL5qa7v0V/1Puz4/wD/AAWP/wCPvSf2e/CcH2SD/mOa5bfvp/8ArhDXxd8cP2y/jH8aYPsnxD+Id9qMX2nzvsM9z+5rzi/1z/iVf6H++rjYL4/vulOg4dwrw/dcnKdZqviO7ng5vKz/AAP9kn0q7/6+f9JrOuL79xR4HvvInu9JH/Pz51c+cz5KXOa5B7+JPN/iN4Vu4NVu7v7J/wAvNcRPOIJ6968f6H9usftleLeKtDu4J68qnVpzW57NfDTo1eTcyftnv+lSwT1kznyODVuxn/f1ocxowHz+Kt+R58HNQ+f7Uef7UAZN9pVVPsPsK6KeeqnkGDpWhmVILHyKt/6iCiee0rOvr6q5TP2nkQ319ioobjvUM/aiqMy35/7+uy+HNj5F9/axs/N8iuY8OaHd3w+14/c12+hwXdhN/oldVOPsviMJupU+FXPdPhl8VPG3gfSotW8J+Ib7T4v+XmCD99D/AN+K9j8G/tweIYIP+Ks8PWOof9N7G58mvmX4ZeI7v7d9kx+6/wCeFdlfaJaQT/a/sldE/wB55epy8/sPP/AfWvg79rb4T+I/K+16tPpMv/T9Xo+leI9J1yD7XpOrQXcP/TC5r88oNVOlz4vK7fwd8QM2P/TWD/j2ngrTkoL4qiRXNinrGk3Hv/SPuH7d7il8/wBq+WtD/aa8WaJPDaf8JDBdxf8APC+tq9C8OftQ+Hb7/kLaTPF/03g/fVz88O508k+x67Pcd6innrmNK+KnhPXObTxDB5s//LCf9zNWh9uPtVEmvPPVP7cPeqn24+1VJ76gDRuL6oZ76smbVfP61nz6rWntPIz9n5mtPffvqh/tb3/Wufn8R2n/AD91D/bf+cUc4ez8zpp9VxVWfVf3+Kw/7b/zis6fXK0D2nka19qtZ/8Aan0rE1XXKzr7XTBBXNWmaU/fNHxHrlc9fX1Z19rnnz8iqk+rVwHQc98Yr7/iVWlp/wBPNfQn7Ac//Fj9QP8A1Nt9Dbf9+LGvmX4p33n/ANn2ntPX01+wj+4+BER/5763fzf+0P8A2jWGBj/t3Merjp/8JtA95gnpfOPvWfUlerzHhGtDcd6IbjvVSCeiCeqM/Z+Zb+0+9H9oe36VV84+9QTz0B7PzLv24e9Sfafes/7QPU/nR9oHqfzoEqmmx+n0HerFQQEwcVPXQQFSVHUlABUdFFABRRRQA22qao6KAJKKKKACo6KKACoJ56SigCPzj71XoooAjn7UUUUAFRTz0Tz1U8/2oAlnnqLz/aob+f2rOGq+f/12oNPZ+Zo21E9x3rnvFXxG8J+ANDm8Q+N/FljpNpB/x8z31z5NfH37Rn/BXPw7pPneHv2e9J+1ywf8zHqtt+5/7YQVn7TyKp0vadbep9eeOPHHhTwPpU3iLxv4hsdJtIP+W99c+TXyH+0N/wAFXvD3hwzaT8EfD32ub/U/25qv+p/7Yw18M/Gr9qH4x/FvXJtW8b+LJ7ub/pvc/wCo/wCuFeLeI9c1eb/TLvVp/wDwJqJrkD/l7yUj3P44ftb/ABD+MV9Nq3xN8bz6j/z7Qf8ALGCvHL74gfaL6uJ/tT6VLBf+f/8AXrn+tVNrNLstDs9hB6xs5d2zodc1W7vrH7Xd3flVzFj9kuL3/S61r79/Y/6XXMzwfYL7FE3Un9k5tf5vwOsvswWP2O0rjZ57uxnrp4P+PH7XXJ6rffv8XdRz20lK0u1jb4tYwbXcmg1XP+iXlQ/brvSr6HVrSs++vvPqWx1Xz67OaGKp8l7nnU5V8DV546Hb2N9aa5YVxvj/AMD+fBLd2lVLHVbvw5ffa7T/AFX/AC8wV1ml+I7TXIebuvla+GqZfiT73CYnC5nhrfa7Hg2uaGYD0rE/5ea9z8Y+ALS+Et3aHyq8t8R+Druxn/49K6aGIhW8jx8Xgq+E1kvd7mTBqvkdql+3H2rP8j9//pdQz9q6eU5Dc/tb3/WoZ76sqCerd9P/AKDaXZqjP2nkSz31Z889JSwQXc/GK0MwuLjzq0PDnhz7d/x9/wCpqax8K3f/AB93ddXodj5EFdmEoVKhzYutTpfCbljpVpBof2S0q3BBaWNTaVpX26CGpdVPkQYrsxdWvS1jFcvc4cDChiNJt37XIfB093/bf+iCvWbHxH+4/wBLta4fwfY/2VB/13rrYPsnkc0qCqS/eUKqcu0v87/odFf2C/dV8O0v5or3vvKniP7JcQfa/wDU0nhy+8ii+g/5+6qWH2SETUfv18SgvVHPbCz+1OXoaM+q/v8ANa0HjHyD/olcnPfWlH239/8A6JaUe0n/AM/F/wBumvsKf8n/AIEzt7Hxxd/8en2T/tvW3pXxG8WaVPD/AGTq08P/AEw+0/ua4Oxgu/Iq5/xNquEqkNeWXN3I9nCPxSgj2LSvj94sg8n+1vIu67fQ/ippOuQf88pv+eE9fNcF9dwT9K6HQ/Ed3B/y9+bUTpzn/wAu2ae2hR/5exfzPeL7xV5H/HpWJfa7d+RXBT+OLu3sef8AW/8APf8A13kV87fHDwr8WJxN4h8WatPrdp/rvP8AtP7mD/thWE41IfZZtCtQn9tHv3xN/aT+HvwygmOrat/aGo/8u1jY15FB8VPj18YoJfEPh74saV4NtILnybaD+0vJmrwaeeqk893WPMbnsdv+01+0f8JNX/snxDq1jrkP/T9/psM//ba3/f16F4O/bu8J65/ovjfwnfaTL/z3g/fQ/wDx+vlT7cfaj7cfasPaT7gfcVv8W/A/iPyrvw74ssbvz/8AlhBc/vqqa54xr4z+3XnvWtofxb8WeHP9EtLvzov+eE9XOtz9Ah7h9Nf24fb8qn/t2vG/Bvxw0nxHPFaXf+iXf/kGuyh8R/aKxNDQ8cX3nz2g/wCu9fXf7IUH2H4A6Hx/r/Pm/wDI89fF2q6r5/Ar7W/ZQvjP+zn4T5/5dp//AEunrnwkvaYmp/d/E9DHx/2agepwT1NBPWRB3qb7T716h45ref7Uef7VnQT1N55/vVoBbqH7QfUfnUX24e9Hnn+9QBL9oPqPzo+0H1H51F55/vUlAH6lw9alqOkh610HOXaKr0UAWKKKb9p96AHU37T71D5/tVSeegDR+0+9OqlBPR9uPtQBb+0+9H2n3qHz/aigCxVejz/ao/OPvQBJP2qLz/3Gc0Tz1BQA77QPU/nTaj8/2ooAJ+1RTz1DPPUM89Bp7PzF8/2qpPfUl9P5EH2vFfMH7Sf/AAUY+Hnwygu/D3wy8jXNc/1P27/lygn/APbigvmh3Pbvir8afh78HfDkviz4m+LLHSbT/pvc/wCvr4j/AGjf+Csuk65/xKfgL4Tnh8j/AI9tc1X/AOMV8n/Hf40+Lfib4pm8WfELxZPq2oz/APLef/lh/wBca89n1zz+bSsLw/mQuTm+GMn8z0f4jfHj4m/FS+/4SH4m+N77UJv+Xbz7n9zB/wBcIa841XxVdz+d/wA8aw/FWq3k8Fc/Bqt3/wAelT7aD+KDZ006c5fDVS/r1NbVZ/euN1zVf+nuty+n/cZrgtVn8i+yKxnO/wDd/EKdGa+2pepbgvrutbQ77Nc99s9/0rW0Of3qef8AvfgV7L/p0/6+R0M48/muY8Rwfv61p77z6iv9D8+Cop/vfhgy6n7r4poNDn/6e6h1WxtJ6z/sN3Y1b/5Yf6XV+znH4aaRPtITq89So36af5nMTz/YZ6i87yP9LtBVvXLHz56yeIKqnOvTOOpTws/ts1vP8+DNZ/8ApmlT/a7S78mk/wBRP/olLcXHnVrOFOr8SOenUnhavPFm3Y+P/Pg+yXf7mi+n0m+grmJ4Ki8jyK8mvlf/AD6PoaHEFSX8dJk2q+B9J1X/AEu0/czVzGq/Dm7gFbf9q6tB/wAelH/CVat/y+VNOhi4dV95dfF5dX8vQ46fwrq0HFS2Xg7Vr4/8eldP/bl3PQNVu/8Al0FbU6GLmck8RgofakZ9j8OfI/5C1WoLHSdK/wCPS0qbzruiHpXVTw3L8TuclfH2/gRt8/8AgBBB589a1jYmc/6JVSCCuhsZ/sJrv9tQ/mPP+r150+e3MW7ef+yoKt6HpRn/ANLvKyYBd6rfV0MEAgg6VjTc4/DFy9TothalL2fMoPyNv7D+5zR9oHqfzrK8jVvIzR9huvStZ04VP+Ye3poRTr1KdLk9vf1Ldx++/wCXuiGC0n63dJBY1bg0r9x/x90U6FR/DTXz1/yCpiqEP4tR/wDbpUgntK19K+yQf6Z9kqGDQ7SDkVowQWlbewxy+GUV6HP9Zy6X8VSl6kP9oe36UT6rd+RUs/2Sor77JB+dRyY5fFWS+ZVOvl1X4aD+4h/ta79TVuC+u54OlZUF95E/NaH9qWdZfuP+XleR0/v/APl1hV/XyND+1dX9DUWla5q39uQ/a7v/AKY1Un1X/p0qp9uu554v+mFFSdBfbnP0NqdHFS+KnCPqeb/Gn4c/8I5qs3iHSbT/AIl09z/qP+eFee3HT8a+pp/Dmk+KrGW01az/AHU9fOvxN+HOreANd+yXf720n/49r7/nvXNUwlelS9pNWiOFehUq+zjLU4iceRPR9p96L7/XGqk3WuY1NyC+/cVDPPWfBPUv2n3oAIL7yJ69I8AeP7zVf9Eu/wDXV5bWhod9d2N9DeWgqeY09n5nvMF99unr7s/ZdzB8AfBvP/MEgm/7/wD7+vz38HX3nwdK/Q34AweR8D/BFp/1JOk/+kMFc+B1qTn/AC/id2P/AN2oHe+cfepfP9qqfaB6n86PtA9T+desePylvz/ajz/aqn24e9H2gep/Oq5g5TR+0+9ENx3qpBP+4qWDvVElim/afeofP9qPP9qnmA/VSrFV6K6jnLFSwT1U+0D1P51DBPQBozz1DPPVTz/ajz/agCWeeoqJ56joAko8/wBqi+0H1H50tAFiio6KAJKKj8/2qL7QfUfnQBLRUX2g+o/Oj7QfUfnQAfaD6j86J56gqOgA8/2qGe4706sfxHqtnoelTatq135NpY23nXM9AHiP/BQP40/8Kr+C134e0nVp4dW1z9zbeR/zw/5b1+Wvj/xHdzzw5u69p/bZ/aFuvjh8TbvxD/qdJsf3Omwf9MK+X/FWq+f1NcFTHU5fuZJrzO6nlVeNX6xQal5b/iQ+MZ/I8msqxvrP/j7qGe//ALWgyf8AlhWeZ7SCr/fr4eVHLOphI6ScnLsZ3irXP39VNJvqqa7P599iptJg8ii+K/mRr7PLsRpGLv2sWtc1X9xXETz/AGi+rrddvrTyK5K4sf8An0rGp7df3/QuFWgqvs5p02S+TZ+9a+hwe1YcEF3W5pUH7jrWVOPtPs29ToqT9np7a8ey1Ce/8i+rRgnE8FZ032T8aLG+ME/Wrn7eXxTUfQmnKhH4abl6lTXPtdjPVQ6753/H3WtffZL6uevoPIn5rKfv/wDLxlU1Uj8VK4X0/n9ayqlnnqKl/wBv/gac/wD06/ATzj70cT1FNMbekgnq/c/mZnU9vP7CJ6SbrVTzrz2qb7d55/0sVv8AWqHc5fqFchn7VF5NpWh5FpPUJgs4OlR9cp9mX/Z0/wCZGf8AYLP0P50nkj2q5/oVE/an9Z/usj6l/fRU8jz+taFjpVpn/S6Lfp+NTQQVX1j+6yP7PqfzItwW9pBUM99+/wD9Eon7Vc0TSvPn/wBLFaWnX/hK3qRUq0ML/Em36Ghodx5HWtyCe7qGxsbSA1aro+qYr/n5+JH17Lv+fRF9uu4Km+33f/P3RffZLeooJ7QT5qfq9dfFVsX9Zwj+HDt/IlsPtf2jjrV+lg+y1owT2kEH/Tap+pUf+fxX9oYqXw4Zszp57ujyburk+q2kEHFZ0Guf9OlKpRoR+KrzehdPEY6Xw4ZR9S39mu/8mofs49D+VL/al5UPk3ntVezoP4YyfzCpVxz/AIs4Q9DQg0q08jFEEFpUUEF3Oat/2Hd/8feYK25ai+HD2/r0OT9x/wAvMU16afqQ+fafZ/smKWxvrSCf/jzpP7K8ib/S7uprjSrSCei2Yr4YqPoiZzytfxakp/O5oHxH5EEP/LKGqmq6V4e+I2lS+HvENp+5n/5b/wDPCor6D/iVRVLocHkf6ZV1JYvF4mFKUfh69yuXA4HDTrx+KX4HzX8TfA+rfD/xHN4e1Yf6j/lv/wA965ObrX1V8TfA9p8TdK+yXZ8m7g/49p6+YNc0O88OatNpOrWnlXcH7m5gryKkPZndD3ypYz1drNt/9fVqsuY0IputTWP/AB81FUsP+vqTT2fmeseAJ86V9rNfpH8Mf9B8AeHtI/58fDdhD/5Agr80fAM5Hg+XP/PtPX6XeHIPsNjDpP8AzwtvJrLAq1WpL+b8Dux/+7UDpvtB9R+dH2g+o/OqkE9L5/tXp8x5Ja+0H1H50faD6j86q+f7VL55/vUcwFuCepftw96yYJ6lrTmMzR+0D1P50faB6n86qwT0n2g+o/OpA/Wa3uPPqL7QfUfnUME9JXRznOT/AGg+o/OiCeqlFaAW/tB9R+dH2g+o/OqlSUAWKg/5bfhSVHQAef7VL55/vVFRQBcqDzz/AHqiqXzz/eoAPPP96kqOoftPvQBNR5/tUdFAElFQ/afeop5/IoAS+nr5Q/4KafH7/hDvA9p8J/D13/peq/vtS/64V9KeKvEdp4c0O78Q6sfJisbaea5r8n/2ofi3efGL4qat44u/P8me5/0aCf8A5YQVjUji4Uuekjan9RnV9nifhPLPFWuefXn3iMmeug8Rz/v647W77vXNUxlDGUuSvG0/W36HTTy3HZb+9wdTmh23MmCfyL77HWfrn2u3t6SC+/06ovEd7+4qIYShS+OdvmFTMcVP/l0c95/nz/zrc0mATwVkwfZK1rG+MFjRy+w0qzvHtb/gh7epW1oU+V92jJ8RwelZEE/2cVoz33nz80fYfPo9nTX8CbRH1mf/ADE07+iuQ2/T8a1uJ4KqWMBNaM/7ji0qdv4s0/TU1py59cNTfN3kZ89jd0n9lH1NXPP9qPI965/a4L+VnXTp5jP7aKcHeqs0P2irU/aqdH1nC/yMmeDzGf8Ay9KE+k1U/s/3/Wta8rPn7Vr9Zwn8iI/s/G/8/PxIZ7G0qGCxyasVXn7UfWqH8n4GP1HF/wDP0UweQeKJ/slQ+cfeoKv28P5GTUwlSl8VUdNMbeoftHn81L9nHofyqaCxqPaT/kRfs8I/iqX+ZD9nHofypKm+wn2qaCxya29pi/5ER9XwP8/4k1hB71LOfI4NLBY4q3BpVa2xVf7KRzc+Co/bbM6CDsK1tKgqaCC0q3BP5E/1o+oVI/HVsX9fof8ALuiHk3dS/wDLtUv26196W+v/ANzT+o0/+fof2hU/59FSeDz+DSWNjdzz0T33kUQX1L2WBpfFJy9C/aZjV+GCj6nQ2NjzDU08HkVnQard+Rmi4vruetvaZd/KyPYZwvimkF9BWfBceRPU1/fXlQwWPnz0U58/8Kl+Bzzhy/x6jl6G5BfVL9u8+oYLG0rRggtf+XutaccdP/l7H7yPa4GXw0pMigvrvtR9tu/SrcEFpSedaVX1TG/8/l94/rGB/wCgZmfPfXdHn3c9W/8ARPOqa++y1n9Vr/8AP0qnmeBpfBh19xnQHz+Kl/tXyOlRWH2QXn/H3WfD/wAf9E6lTC0uSk+afkGHjTxuK9tVXLDtsdDpNee/tF/Dm08Rwf8ACWeHrT/iYQf8fMEH/LeCvQeIIKisZ/31RXo1KGGp0N5S/AMPWhiMTOvL4Y/ifH/kfv8AFWq734/fDK18HeKv7W0m0/4l2q/vrb/ph/0wrz48V5k4eyqckj0Ka9pT546hSQ9aWpIO9QbnpHgiEnwd9lI/19tPX6dTz/6dd8/8vNfm38K4PP8A7DtT/wAt9Sgh/wDI9fod5/7+assE7mmO/wCXJtwT1L5/tWVBPUvn+1dvtPI4zQ8/2ogvqyftB9R+dH2g+o/Oj2nkTymvBPUv27yKzvtA9T+dH2gep/OtA5TWgvqXz/as6Cerf2n3quUz5j9aqjo8/wBqhnuO9brc5Saio6K3Ako8/wBqh+0+9OoAbc06iq9AFipPP9qp+f7Uvn+f0oAt0VHTftPvQAXNQ+f7Us89U556ALnn+R1pPP8AaqdO+0D1P50ASzz1DPPS/aB6n86p6rffYbGW7/54Vn7TyNPaeR84f8FJ/jT/AMIP8Mofh7pF3/peuf8AHz/1wr83PFWuefPXt37Ynxiu/ip8TdR1a6u/3MH7m2g/54V86+I5+K5Zyx2Eq88NYeWp10KeT46lySVp+ZlarfWk9c7rmlXc1W76es+fVaj61gcb/FXLPyF9RzHKv4EnKH3nB30/2HVf9Lq34xsfI60njCD9/wDazS+I5/PgqKdDCw/izY/r+Krfwo2+RhwQVoWJ8jSv9LqrBfWkEGatTz+RB9ai+Fo9bl/7djPh9wz/ALD+/wA1LBBd1NDcd6mg71fs8D3f3ip1s0j8STCxsbyc1ang/cZNLD9rgNQzkz8YqPaU6PwwcvU2qYbFYn4pqPoSwQWlRXH2TvUU/aqdX9d/ufgZ/wBk1P8An8LPPUVFQTz0fXKf/Pon+yq//P0m8m0rOvv9d+FRT33n81F5/tWPtqf8jH9Rqf8AP0PP9qqTz0n+vqLyWq/az/kYvq0P+XtT8RaKl+w+xqHyWqr4rsP2OBfxSbJaignqXyPerlvYkU+TGkc2V9ipB+/5rQh6VbsdLtKt/wBlWnkZro9lju5zVMXlVP7LM+b7XOatW/T8amggpax+qV5fFO/zNqeYYGl8NP8AAr0v2ceh/KpvOPvUsE+Z/wDS6f8AZ/8A08/EP7V/590w8j3qOtAT2k9ZF9fWkE9KeFwlL4qjL+uZjX/hUrfImgsat2EHvWdBqtTfbvPranUwkfhg5epzVMPjp/xatvQ3IPstQ301pBBzd1iefdz1LBB59bU6lSXwwUfU550IR+KpKXoyb7d5/wDx6VoQfa56hsbG0grct57SCCtaeGp1P4tS3o7B9ZqUP4WHb9UVIILurlQT6raVF/atp6Go+pYGXxTv8zb+0cy/59Fv7Nd/5NHktUP/AAklp5H/AB91F/wkdp5GftdafUMD/wA/CP7UzH/nwvuNCCCs+eCooPEfnz1of2raeRisPqOF/wCfpf8Aa2K/58mT/qJ60NJgME9VJ7608/mor7VPI/486uCwuF/fX5vJGM3isx/ccnJH0saN9ffvvslWrGDyIPtdZ9j+/q3PPU060IUvrVX4grw9v/sdPSJF4q0PSfH9jN4e1f8A1M//AC3/AOeE/wDz3r5q8VaHq3hzVZdJ1a08maCvp+x/5+68t/aL8LXd8YfG9paf9MbmuavD/Z/bdTrhUpwxPsKT0PHalh/19Qzdamh/19cHMd57R8D7f/isfBtp/wA9/Emkw/8Ak9B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+  },
+  "EmployeeCode": 8050,
+  "Name": "Hetvi Kachot",
+  "gender": "Female",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T11:56:58.093Z"
+  },
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+  "gender": "Female",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T12:01:15.343Z"
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+  "gender": "Female",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T12:02:18.808Z"
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+  "Name": "Radhika Vaishnav",
+  "gender": "Female",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T12:03:28.881Z"
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qWjyPeigCSinW/T8abQBYqSDvUdJD1rnAln7Vn31v3q5VO8qeY6DD1asq46/hWtfd/rWTPBUgZ1/B71k6v/qBW5WRqsFAHlvjH/j4l+teDftN/wDJMdW/69oP/R8Fe/8AjL/j4/GvBf2ocj4c6j/y28/7DD/5PQVrBc5ofIk+h1c0rQ7StufSa0NK0r9/n+dbnGTeHPCpn/5c6+j/AIA+ALTyP+PT/tvXkXg7Sszw19VfAHQ/+JFDXLXmdlE/Suiiiu44ySiiigAooooAKKKlh6VXMAeSPap6r1YqgJKKKKDMKjqSo6ACpIO9R1JQAUUUUASUUUUAFWKr1PD1oAlooqL/AJbfjQBLViiimtwCiiitwCiiigCvPPaQTxWl3d/6+l8/yOtZPiOC7/tWK7/5ZQVLrn/Hj9k/5ZT1XKc/tPI1rapoO9YcHiPSYJ4tJu9Wg87/AKb1bGqeRPL/AM8qOSfY0NWiquk6raarYw3dp/qp/wDj2qbz/apAlm6UeefPqKqc995FAFyo6h+3D3o+3D3quYCS5qGjz/aop56kCK46fjVO+0q0vv8Aj7tKtUz/AJeJfrVcwGR/Yf2Gf7XaXdTQQVan/f8ANVamfvmgVk+JP+QVN9a1p+1Z/iL/AJBc30rBbga3hv8A5AVp/wBe1ebftNf8y/8A9fN//wC0K9N8Lf8AICtP+vavOf2menhj/sJz/wDoiuY7DyabrUsHeiftU0EHYVzgOoqTyPeiDvQAUeR70VJQBHUlFT2/X8KDnIKn+zn0H5VLRBBQBHUlFSUAFFR0Vp7TyAkooorMAqeHrRD1qWg3WwT9qq30FWqivuv4VmM56/g96yZ/9dW3ff0rEn7UGhUm6Vk65BW5cdfwrJ1WA+RQB5j4xPnz4rwH9pOxM/haa0tD/r9Sgh/8j17/AOMf+PmvJ/iNpR1XxH4etPsfnef4kg/cf9sJ6CuY+eoPA935H/HpWjpXgC7/AOfSvon/AIVyf+gSam/4QDVv+gVPWft/In2fmeOeHPCt3Yz/AOmWlfTXwHg/4lUWf+/Feb6r4Ou7GD/j0rc8Dz6tYwf6IaK8/wB3zlQjyH6bUUUV6hwhUlR1JQAUUUUAFSw9KiqSgCe36/hS1BD0qeq5gJKKKjqgJKKKKDMi+zn0H5VLUdFBoSUVHUlABUlR1JQZhU8PWiHrUtAEXE9HEFS1HWntPICSDvRRB3qxWYBRVeigCxRRTbmgCK4gE8H+l0QWP7iko8/2rT2hXs4diqfCvh797/on+vpP7DtP33/PGrk8/kVDPffuKr28w9nDsRQQeR/0x8jz/wBxUN9fXdl513d/vpoLaeuO+Jnxp+Hvwrg/4SH4h+LLHTrT/pvc18k/HD/gtL8MvDl9/ZPwy8J/8JDF/wA/19c+TDR7XyJPtH/hOLSDSv8AhLLu7g8r7N53n14t8VP+Ck37LXwr1zUfD3iH4hQXd3Y/8uNj++mr8pfib/wUR+POuf2jpX/CzdV/s++uZ/tNj/yxgr578R/EbVtVvvtf9rTzTf8APee5oqV6cB+xqH6i+Mv+C9Xh7SZ5rTw98J55f9f9mnnuf+/Na3wP/wCC4Pwxn8Nzf8Lj8PX0Orfaf9Gg0r99+4r8ib/XLu4qWx1z9/WHtJ9x8p+8nwy/4KofsieP9L+1/wDCzYNJl+0/Y/sOq/uZq908N/EbwR4qgivPD3izStQ8/wD58bnzq/mysfFV3Aa6z4c/Hjxv8MtctPEPgjxDPpN3Y/8AHtPY1r7TyJ9n5n9Hn2j9zUUFx+/m+11+PvwW/wCC3P7TXhzVYf8AhYd3Y+IdP/54T23kzV+kn7KH7aXwn/au8Hf8JD8PdW8rUIP+Qloc/wDrrGj2nkG3xaHsdVJulE89HM5rMCKftWT4r/5Bc30rWn7Vk+JP+QFd/wDXtTW5obng7/kXbT/r1rgv2m/9R4e/7CU//oivR/CsH/EjtP8Ar2rzf9qGD/QfDH/Ybn/9IZ65lsdB5PP2qa2qGftVyDvXOAVJRRQAUUVPBBQBBViipPI96DP2fmFEHepKKA9n5hRRRQZhRRUdAElFR+f7VJQBPD1qaH/UVSq5B3qeY6An7VFN1q7VKbrUlcpz2oVkz9q277+lZM8FBRVuOv4VnarB+461rT9qydc/49xQB5b4x/4+a534ZaH/AMJH+1D8MvD13aebFfeJNW+0wf8AXDw3rs//ALQrp/EZ8+fFaH7KOlf2r+3B8MrT/ljBc+JJv/LU1WD/ANr1x1/92ND06f4V2nnzf6JVSf4c/uM/ZK+g77wd9nn5rPn8D+RB/oleeqluh2Hyf8TfBv2HQ5q5PSvsmlaVyK9++OHhXyNDu/8ARK+UPjD4ju9D8OTf89p/+W9dtKXOjKo+Q/Uaimzz3X/LpVT7Dq0/Au6988gu1JVSCC77XdW/I96ACiiigAooooAkqxUEPSprfr+FaALRRRQAVJRRQTykdFSUUByhRRRQHKFFFFBJJVjzj71XooAsUkPWiHrR5LUAS0UUUAFFFWKACq9E/ajz/agCKeeqk+q1bvp6xNWvrSA/6Xd0AW77xHaQQfaxd/uYK+T/ANtn/gpN4T/Z60qLSfCYg1DW762862n/AOWMFeb/APBUn9u3/hWOlQ/DL4T+LPJ1af8A5CU8H/LCCvzA8VeMvEPiqf8A0vVp5v8ArvUTlyGtOjOZ2Px3/aa+IXxi1y71XxZ4snu5Z7n/ALY15bfeI9Wvj9krofDngDVvEc9eheFf2etJgn/4m1p501eVi82hDqe3QyWvW15bR7ni0HhzVtcn/wBEtPNqb/hUniGf/mEz19d+APhJ4eg8m0/siDyYK7ef4c6TPb/ZPsleDXz/AJfhdj6Ghw1CXxXZ8PaV8HdWvbf7Jd2lZOq/DLVtJn+yXdpX3NP8OdJsYP8AkEwV5x4x8HH+3P8AS7SinntSf/DnZT4WoVOrPlSfwdq3/PpVT7Dd2P8Ax919maX4H8PX8H2T+yYK57x/+z1pOuQf8SrSf3NenhM15zwMdw/Oj/Ck2fKsF95FdZ8MvjF43+Gfiq08Q+E/EM+nXcH/AC3gufJrQ+I3wd/4RWfFp++rz2c3djPXvU60JnzlejNfFoft7/wTZ/b1/wCGofhlL4e+Id3BaeJ/DltBDqX/ACx+3Qf896+sILjzq/mt8HeOLvQ9Vhu7TVp7Sb/nvBX7if8ABO79sTw9+038FtJ+1+IbH/hIdKtvsepWP9pfvv3EH+v8ir5jkprkPo+s7Xf+QVd/9e09Xazdb/5AV3/17z01LU0Om8Kf8gmL/r2rz79qH/kBeHv+xk/9sb6vQdC/48YvpXnv7TP/ACLmif8AYyf+2F9XJOfIdB5DP2qa2qGftU1tXOBaopYelJWgFikt+v4UtN/19AE1SVHB3qSgAop1v0/Gm0AFFFFABUf/AC1o8/2o/wCWtBn7PzCpKjognoD2fmSVPBPUFFZmhdnnqKioftA9T+dBXKZF9/Ss+brWjq1ZE89BRFP2rJ1z/j3FaM89Z2qz/uOlAHmfir/XGu2/4J+WIvv24ND4/wCPHwB4k1L/ANIbH/3KVxHiOf8Af16N/wAEzkF3+3g6n/ln8FfEso/8HnhU/wBK46/+7GtD+JyH2xqvhwefWTfaH+4rvL6xJnzWVfQV556Z89fHfw55/h275r46+O/w5/tXwBLdWlp+9gr7m+O8HkeHNQr5g1XXPD1xod3pN3d/6+u3CS9l8JyTj7Q+06kqOivfPGJKKKKACpKKjoAkooooAKKKWbpQBPUlU6ngnrQBakqK46/hRb9fwoAlooooAjqSo6T7QfUfnQBLRUdSUE8pLBPSVHUlBJY84+9HnH3qvRQBc8/2oqKHrUtBXKFWKr1YoDlCq8/aior6egoyddv/APl0tK8R/a2+MXh74SfB3VvEOrXf76e2nhtoK9evrj9/X5f/APBYj44XniP4x2nwntP3Npodt51z/wBN556nmFTh7SryHxz8RvGPiHx/4jm1bxFq093dz/8ALeovCvg7z76L7XU2lWNpPP8A8eleheDvDnn+VXzeOxt+p9tlWVQl8Sua3hXQ7Sx8mztLSvR/B3ge7vuam8AeB/tt9zXrvhzwraWP/HpXx2OxvmfdUMF5HPeHPB1pY/6JaWldPB4ctPI/49K6Gx8OE1a/sr9/ivOO72dPscRfeHPW0rKn+HNpfT/6XaV6v/ZdnUU/hzFdSloZez8zzj/hWWlQQf8AHp5NH/CuP9mvQZ7G070sFjaefXVh8V5nl16XmeAfED4A+HtVgl+16TXzh8VPgDpNjby/ZNJ8mv0O1XQ7W+sZq8L+Knwy8iCa8/11fR4HGvufPY7LIYj4kfnv4j8K/wBlT811n7PXx+8b/s5fFPSfix8PbuCHUdKuf+W/+pn/AOmFdZ8W/B1nb3032SvHNVgu9KvutfS0MR9Y+FHxeKw9TCVeSR+//wCx3+1h4e/av+FcPxC0nSZ9Ou4LnydSsZ7nzvIr07XJ/wDiVXf/AF7T1+Wn/BFT4xeN/A/jGbwnq2k32o+GPEf7m2ng/wCXGf8A571+oGuYn0O7/wCwbPXRU984DsdJ/wCPCGvPf2mv+Rc8Pf8AY2/+2N9Xe6H/AMeFeb/tRf8AIueHv+xu/wDbG+rjOg8sn7VNbVDP2qa2rMDSqvS/8sfwo88/3q0Amt+v4UtV6nt+v4UAS+f7UVFcdfwot+v4UAS1JUdSUAR1JRUc/agCK46/hUFTzz1BQBYpv/Lzioang/4+D9aALdv0/Gm1H9o/fVN9oHqfzrMBtFFR+f7UGhnX39Kyrjp+Nat9/Ssq46fjQBnTdKw9cnzBLW5N0rD8R/6igDzjXJ/39ewf8Eu9O3/tZeKPEZ/5h/wouIv+/wDrelj/ANs68f8AEc/7+u3/AGCvGN34W+OHjf7J/wAt/CWkw/8Af++vv/jNctaP7rnNYPkq85+h19rlpAf9Lu6w77xHaf8AP3XkPj/47+HrLSvsh/13/TevHb79pP7DPL/pflVx+y8zv9p5HqX7Sfiu0g8K6j/pn/LtX5l/Hf40/wBlX032S78qWvY/2qP2oLT+w/slpq3nTT18BfFTx/d65fTXn2uvVwlCnA4K9W/Q/odqSo6bbV6J5w6pKKKACiiigAooooAkpYelRVJQBYpPs59B+VQVYquYBvkfv806iiqAkqOm+f8Av8Uv2g+o/OgBab/qKIP3/FL9nPoPyoAWpKjooAkooooAkoqOpKAJ4J6lqOigCSio/wDTakoAKq33T8am84+9U9Q/49qAOI+MfjHw94A8Aat8QvEP/HppWmzzXNfhN8VPH+rfEb4jat4s1a786W+1Lzv39zX61/8ABVD4m2ngD9kLXLT7X++1y5g03yP+e9fjR5/n6rXLi3ThhtzvwNOp9Z2Ox8OQfv4q9u+FfhX+1P8AS/8AnhXlvwr8N3euTw/6L51fTXg7Sv7KsYrS0tK/PcxxvtavJFn6xlWE/dc9jpvB2h2kH/LpXe+G9K/ya57Q7Gus0qC8gg5u68HmPb5TW8lqJ7HyKLGfyOtaMH2S+nq4LnJKkFjk1LPY/ZznP0q35HkdKJulXzmZh31liovsft+tW76eqk9/5H/1qPaeRyVIc5Uvp/3H2OuD8f8A7+xmtK6bxHrnkQYNee+KfEfnz120KvkcdSnydT5w+OHhXz/Ou6+dvHGlfv8A7XX118TdD+32MtfLfxNsP7KvprSvrMmrTmfIZ5hLU+eKsffv/BA7xH4e8R+DvHngjV7SD7XoepWF5bT/APTCfz//AGvD/wCR6/Q3Vv8AkW9Q/wCwbP8A+iK/H7/giN8W9J8A/teXfgjVtW+yReMfDc9nbf8ATe/g/fwf+QIJq/Xaefz/AA5qN2f+gbPX058SdvoU/wDoOK4L9qD/AJE/Q/8Asbv/AGxvq7Lw3/x4VxH7UM//ABR2h8f8zbB/6Q31cZ0Hk889W4bjvWfcdPxq3Y9vrWZXKX6joooDlJKnt+v4VUqSgksUlv1/CoKnt+v4VoBLRUVx1/Cj7QfUfnQAfaD6j86h88/3qSigAqOiftUdAEnn+1Hn+1R1JQBL55/vVN9oPqPzqp5/tUvnn+9WZXKTTz0faD6j86gqOftQUQ6hWTeVo33f61nT9qAKk3SsnXP9RLWrVW+/fwUAeW65Yfv5a5LSvFV38OfEeo6t/wAI9faj/attBD/oOt/Y/I8jz/8AphP/AM9q9N1WxzPXPX2h2k9Z+08iuU8+8VfFvxDrk/2u08J30MMH/LC+8Sed/wC0K53VfH/iyf8A5lPzf+4l/wDaK9Tn8OWn/PpVSfwraf8APpW94diTxzXNVN9B/pfwy0qWb/pvc+d/7QrJn1W0gn/5I54chm/57/ZoP/jFe5z+FbTp9krPn8K2n/PpV+18g9mfptRVeiuo4yb7T706iigAqSo6koAKKKKACpKjooAl8ke1T1XooAn+0H1H50tV6n+zn0H5VoBU/sryL6a7tD/r/wDlhUs3SpoIPI61DN0oAiqXzz/eoh6VPQBB5I9qnpLfr+FS0AR1JRRQAVJRRQAVPD1qCp4etAEtR1JRQBFxBUVx0/GrVZ+of8e1AH5zf8F1dc8ix8G6T/yx+0zzeR/03/z59fnP4O8N3mq33+iV+gf/AAXHsbs654O1a7u4Psk9tP8AZoK+X/2evAFpfeTq13/y3/fV4uc16cMMfS8P4aFXE+9qepfCTwBaaHpUXNenaVpX7+sjQ4Ps/P8Azwrp9J71+cVF7Q/UIPkOn0qD9xFWtb9fwrO0Oe0/5e66axsbTvWPsanY6vbU+4thY5rQsdKq3YwWhFa0Fj5EFIz9tAybexqG+g+z1rf6is+8roGYeqwefXHarPdwT/ZLuu8vv+PaufvrHNVymftPI4fxH+4grg/EcH7/AK16lfeHLTvXJ+KvCl3b/wCl/ZK0px5DjqVIT6nmerQCeCvmr9pPwrdwf8Ta0r6f1yyNeZfGPwr/AG54bm5r2Mtr1IYk8TMacJ4bY8c/YKn+w/tifD27/wCpk8nz/wDrvB5H/tev3ZnuP+Kcu7Q/9A2f/wBEV+I//BOfQ7S+/bg8J+H9WtIJoZ/t/wDr/wDlhP8AYZ54J/8AyBX7Z+QP+Ecl/wCvaevuj82Ox8KT2n9lQ1xP7UX/ACJ2if8AY22//pDfV1ngc+f4ciBrk/2mv+RH0n/sZIP/AEhvq5yuU8hnn/f1bsev4Vn3HX8Kt2PT8azKNKiq8HerFABUnn+1R0UGZJB3qSo6KAJfPP8AepKjo8/2quYA8/2oqOq/n+1HMBNPcd6hqPzj71BPPUgW/P8Aajz/AGqr9oHqfzqagC1Dcd6mrOgnqXz/AGoAuUVD9p96Lmg0Kl91/Cs+46/hVu+n9qzpulBXMHnn+9VS4/1NTUTf6j8aCjmL6D9/WfPBWrfQfv6i8ke1Z+z8wMmexqH+y/rWvPBdmofsN571oZmT/ZPt+lRT6VW3/Z/v+tQ+R70Fcx9uVYqvRXoHCWKKr1YoAKKKkoAjqSiigAooooAKkqOpKAJ7fr+FLRRVcwCXHX8KWpKKoCOpKKKAI6koqSgCOpKKj8/2oAkooooAKnh61BTvtA9T+dAFqio6KADzj71TvKm+0D1P51h+MfFWk+FdDl1bxDd/ZLSD99cz1nU/dfEb037T4T87P+C7k935/gi0/wCWP7+vEf2bIP8Ai3Npd/8AbGu3/wCCufx++HvxwvvCf/CEXc/naV58NzBPbeTXPfAHSvsPwr0m0/6dvOr5vPKlN4b3Hc+x4coVFifeVjrL7xHpPhXSpdW1a78mGCvN/HP7W2rTwS6T8PfD08s3/PeD99XT+KvAH/Ccar/xNrvyrSCtbQ7L4e+AIMaTpMEP/TevkPa0KXwq/wCB9p9Xr1tOZqPY8X1X44/tCTwQ/wDEp1X/ALb21S6H8d/2sPI+12l3qsUP/XtXtNx8adJgg/5C0H/gTUN98YrTtq8E1dNPGVKn/LtEVMunD7f4nG/DL9ob482Gufa9W8Q30sM//HzYz17fofx+8bi+/wCPvzof+m9eT/8AC2/D0999qu9JglrvPCvirwRrnlfZPI/64VjUrU38cEjSGGnA950Txj9usYru7/11E/iP9/zXJ6Vf2lvY/wCiV5vf2PivQ/HGreLLvxxPLp99/wAe2lT/AOpgrl5TXlPTvEXxU0nQ/O+115Z4q/a28J6HPL/a1pP5MH/PCue8ceI9Jng/5C3ky14t4x0PSdc/0T+1v+/Fd9CND/l6clepU/5dM9eg/b8+E99fS/a/Phi/6b10OlftUfBzxjY/6J4hgr5ag/Z68Par/wAhbxZPFD/0wtqz9V/ZCtLGf7X4e+J3/f8A02u7ky5fDKx5N8xfwKLPqXXNV8P65BMfD2rQXf8A1wrgtc/f+bZ5rwbz/ix8Hb7+1vtf2uH/AJ7wV6n4H+J2k/EbSvtefKu4P+PmCiFLkq+0pP3SPa+1pezkrS7blP8A4JpaHaX3/BRnT9Ju/wDlx03Vprb/AK7+R/8Ab5q/Yef/AJAd3/163Ffk/wD8Ey/B13qv/BRHUfG/2T9z4ctr/wD7/wA/7j/0R51fq3ff8gO7/wCvaevuT87rz/2g2/hzP5/hW0u65n9pr/kR9P8A+xkt/wD0Rf1rfB2f/igNJ/69qw/2mvtf/CEaT9l/6G2D7T/1w+w39YT9wo8bq5Z1Tq5Y3HasgLlSVHR5x96AJPP9qmtqq+cfepIO9AFyo6b9p96h8/2oAsU37T71V84+9FBmJPPS1XqOftQAef7UQT1FPPUFAFzz/aiqdWKAJIO9W4etZ9v1/Crdv0/GgC15/tR5/tUdFBoQ3HT8azauT9qp0AFT/Zz6D8qgqeCegCL7BZ+h/Oj7BZ+h/OpqKAKf9k2noKPsNr71cooAp/2TaegqH+y7Tz60qKCeY+mKKWCekr0DlCirFFADbanUU37T70AOooooAkqOpKjoAkooooAkpfPP96kooAnt+v4UtJb9fwpaAJKKjqStADz/AGooooAKKKKACpKr0n2g+o/OgCXz/ajz/aorjr+FJB+45qeYC1Trjp+NNqOpL5CKeevnr9u7xx5HgCHwRaf63Vbnzrn/AK4QV9AX3+p/GvhL9tn4gXd98W5tK+1/ubG28mvGzmpOlgeSLPpOGMJCrjqk5fZ/E+Hf2moLvxV4/h+yf6r/AFNe/eDtK/srwdp2kn/lhbV5P4x0O7uPEdpd/wDPe5r6E8OaH5+lRV8nmWK58LufdYTC+yq88UcH4qvruCCvEfib4/8AsM/2TVtW+yQ/88K+lPFXhy0nhmH5V4545+B/h7xVff6XXmYGrQ/5eo9GvGapckJWPDPEfxiu9Cnh0m0+Ht9LNff8e3n/APLeuYvvjhd/bsXfh6+06aevb/ip8FviFqv9n3dp4h82HSv+Paee2/1FeQz/AAW+IP8Awkf/AAkOrn7XFBqX2z9/c19HQlgfZc587OOawxW5o6H8TdWgn/0u782H/pvXrvwy8cXf26KvPfGNj/wsDXItWtPCcGkzf9MLn/X16P4H8D+RpUN39k/fV5mO9gfQ4GVf/l6fTfgDXPPsYhd1kfFvVfsMEv8Ay2rc+Emlf6DF/olZ/wC0Lof2Lw5L9ktK8nDnVUfIfJ/j/wAcefq0v+l1xt98VPsM/wBktP31Hjix1a+vru7tP31ZOh+FdJn8K64fEXh7VZtcntp4dE8i2/cwV9JQjQPAxeIrx+GLZrf8L+0mx/4/NWsYf+3mrdj+0Ld3/wDy6QTQ/wDTjc15DrnhzVoNDtPD1p8MrG0/4lvk6lfT20803n+f5/n1o+HPh/pMHg6XSf8AhHr7+3PtP+jX0H7mu36rgfZ89zxqePzSdTk5fx/4B69B8RrTXIa1fA/hWzg1X+1vD37qH/l5grzL4ZfDn4hG4zd6VPN/03r6P8D/AAr1bStJiu7uvOqfuqvJA9e31jC+8a/7IX7Rln8CPi3438PWngifVtW1XW4Ly2g+0+TD5Hkf/b6+/PhX8fvD3xi+GWoeLNJMEUtj58OpQfafO8ifyK/J/wAcarq3gf8AaTl1bSh/r7aD/wBEV698Af2bLv8AaT8KzfD20u7G0l/tuCb7dPbed9h/6b+TX0uAxNT2vs6vw9j4fMsF7Kn7SKtI/QP/AIJ6/FTxD8W/2UPDHxC8WGD+0L651aG58i28mH9xq08EH/oiux/aF/f+B4f+wlB/6Inqp+zL8D7P9nP4H+Hvg5aeIZ9Wi0O2n/4ms9t5Pnzzzzzz/uP+21TfH/8A5EaH/sJQf+3Fd0/fPJPHJ+1Sw9KqXNENx3rIDW8/2o8/2qp55/vUeef71AGj9oHqfzqbzj71kQT/AL+pvtB9R+dAFv7QPU/nR9oHqfzqp9oPqPzo+0H1H50AW/tA9T+dH2gep/Oqn2g+o/OoKDMuef7VF9oPqPzqHzz/AHqhnnoAm88/3qi8/wBqhnuO9OoAk8/2qSqv2n3qagCWHpVuCeqdT2/X8KALdv0/Gpqhgn/cUfaB6n86CuUhvKz60LyqdBRHUlR1JQTzFiiiigkKKKKACipKPI96APo+HrUvn+1U6K9A5y5RUUE9E89AF2q9Rf8ALH8aloAKKKjoAtfafej7T71U4nqWDvQBN9p96m8/2qnR5/tQBc8/2o8/2qn5/tU32n3oAt+ef71Hnn+9VSG471N5/tQBL55/vUlR+f7Uef7UAW7fr+FJ/qKq+f7VL55/vUATfbj7VD55/vVFUP8AaHt+lAFqrFU/P9qzr7xHaaV/yFruC0i/6b0AbtFclffGL4ZaV/x9/ELSv+uEFz51ZN9+038G7GD/AETxDfXf/XDTZ6DdbHo9RfaD6j868hvv2vfCcHGk+CNcu/8Arv5EP/teuY1X9svxZ/zCfhlYxf8ATefW/O/9oUF8x7JP4j1ee/l+1+HvKig/49p/tP8Ar6/Pz9rb/SPjvqAu/wDlvc17p4j/AGofjHqsH2u0tND0/wD59v8ARv8A5Inr51+NOuXeueP7TVvEN5B5s/8Ax8zwV4HEE+TDH1fCMOfEVzzj4jWXkarp13n/AF9zX0J4O0r/AIkcVeOeN7G01W+i/wCmFzBX0J4HsfPsYbX/AKdq+JrzvS5j73Dw0Oe1zwBd30FeY+Mfhlq0E813aefDX1XBodp5HNZOueB7SevPhLkO7lh2Pi7VYPG8H+if2TXPT+APiFrk+fskH/gTX13rnwytLef/AI9K56fwBaWI5ta39vMrl/ec586+HPgDeC++16td+b/1wr0jwr8OTAYbSvQp9DtIP+PWtbw5ofNFSvOYezh2NH4ZaH9ho+OGh+f4bm/0Sus8OWP/AC6WlpVT4m6X5+hw8VVCRyV4nwl4/wDhWbHXJbu0/wBVPVS4+GfiGxg+12n77/phX0J4q8K2l9Vvwr4H8+D7Jd2ld3t5mcI858wTwCxm/wCJtaeT/wBd6tWNj9un+x+HdJnmm/6YW1fXlj8HbTVf+Puur8OfAjSdD/0u0tIKn6xM19lDsfO3wr+B/iweVd6tpP8A2wr02+8Kmxsfshr37SvA2k2Nj/x6VwfxU0v/AJ9LT8auoudnnVIch8J/HfSf7K+MX2v/AKdoK+0f+CTXhzyPBviHxZ9k/wBfcwQ/+j5//jFfL/7QulfbtV/7dq+3P+CbOlWmh/s52l3/AKqa+uZ5rn/0R/7Qr6XLffq858hxBV5MN7K3zPpW36fjXBftGTmDwPEM/wDMbg/9r128H+p/OuC/aMzP8Oftf/PDUoK9w+R5jxzz/ao/OPvVeo556zKLcF9mp/tw96yPtB9R+dH2g+o/OgDX+3D3qSC/rJ8/2qb7QPU/nQBof2h7fpR9p96q+cfejzj70AWvtPvR9p96q+cfejzj70GZa+0+9Q+f7VV+0D1P50faB6n86rmAm84+9HnH3qn5/tR5/tVAaME9S/afes/7QPU/nUsPWgDRg71LD0qpDcd6mg71PMBoQd6IO9VIJ6m+0H1H51IBcdfwqpVu46/hVSgCWHpU1v1/CqkHerlABRSfaD6j86Lfr+FAEtHke9TW/T8abQBH5HvUlFFAH0JRRRXdzHOWKKr077QPU/nVAS8T1LUfnH3qH7QPU/nQBN5x96KggnqKfVbOA/6Xdwf+BNAFzzj70k89Z/8Abmk/8/cH/bCi41Xz6nmAl8SeI7Tw5pV34h1YT+TY23nXPkW3nVyfgfxj4g1XxHLeeIf9Tff8g3yP30MEFbn9qj/nzNZ0+uXcH/HpaUcx0HW+cfekE/n9a42fXfFk8H/Hr/5LVia5P8Qv+XvVp7SL/pvc+TVHOemwT0T65pVj/wAferQQ/wDXe5rwzXL7w95+PEPxCsfOg/576l51Yc/jj4ZWPXxF9r/68bagD36++Knw9sR/pniyx/7YfvqxJ/j/APD2D/jzu76b/rhpteDX3xi+HvS00m+u/wDrv5EP/wAfrPn+MVoP+QT4Ig/7b3M81R7Sn3L9nU7HvN9+0npMH/IJ8JX03/Xe5ghrJvv2hfFk/wDx6eE4If8Arvc+dXiJ+I3xCvv+QTpMEP8A1wtqTz/jJqv/AC9zxf8AXCp9tTL9hM9en+NPxYvoOljaf9cLasTVvib8QvP/AOJv8TfJ/wCuFzBDXBf8Kx8b6r/x93fnS/8APeetCD4EatP/AMfd3PU/W4F/Vahc1XxjZ3HOreN767/673M81c9feKvBEE/Pn/8AgNXY6V+z1pP/AE3mrp9D/Zs/1P8AxT0//Xeel7fyL9n5njn/AAmPnj/RPD0//bepYL7xZff8efhOvorQ/wBnO7g4/smCH/rvXWaV+z1aYxd6t5P/AFwtqz9rX7FckOx8nf8ACOfE2+n/AOPSCGpoPhH431yf7Jq2rfua+wIPg74Tsv8Aj78+b/t5rR0PwB4Tsf8Aj08PQUc0+5dodj4/g/Zsu5/+Pu7nmrwv9qj4c6t4Oni/0SeKWD99befX6iz6HaQcWlpBXyz+3r4OtNVOn6t9k86X7NPDXiZzS58LufQ8P1eTE7HxHqsHiGx8R6Td/wCutL65gr6V+HOq/uIa8RsdKGueB4dWu9J+yXdj4t8n/th5Fem/DnVutnXxtb+HyH3uEXPV5z3SxvrTyK0P9EuIK8h1zxHq8EEX9k10Wh+Mbz7DF9rNYez8z2/Zfu+e5t+I7G08mvPfFV9pOlf8fdW/HHxF+w+b/pZrxbxV4j1bxVfTfZP9TWhNOHIbl98RtJnvv9E/fV1ngfXLvXJ/9E/1Vcn8CPB2k65BdnVv+PuC5/1H/PCvR9D8K3fg7xVNpP7j/j2g/wBRWF4dzKpPnqch2Xhz9xWd4/t7TVf9ErorGA+RisnXDaQT4u66qByV4HhfjH/iR332SrfgDxzpM999ju/9b/zwrptcHhPVfEf+l/vq8X+OE+k+FfGOn3fhP/Wz/wDLCu0xowtV5D6f8Kz6VPBXW2M/kV86/DL4m3fkQ/a7v99Xr2leP/PgixXGdvLDsdjfar5EHNee+ONWtJ4JftdaGq+KvOg615x448V/uP8ARK6KETz6+54X8YrH+1fFWn6T/rv+W1zX378K/Dh8D+HNJ0m0/wBT/YljDc/9d/Igr408HeB/+E/+KmnXf7j/AE7UoLO5/wC/9feWqweRX12U/wALnPzjP63tKsIW+H8TodCn/wBBxXHftC/8k4u/+wlY/wDo+Cur0Ofz9Khrjv2jMz/Cu7H/AFErH/0ugr1jwzxGeeorjr+FFx1/CoZ56zASio/P9qSCegCWp/tB9R+dVPP9qPP9qALf2g+o/Oj7QfUfnVSjz/agC39oPqPzo+0H1H51U8/2o8/2oJ5i39oPqPzqHzz/AHqqT3Hej+0Pb9K0JLfnn+9U32g+o/Os77T71N5/tQBbgnq1BPWf55/vVNBPQBo+cferUNx3rJgnq3D1rMDRqSqEE9W/P9qrlAkpfJHtRD0qa36/hRygH2c+g/KpYIKIIKt+S1HKBF9nHofyo+zj0P5VL5LVL5HvVAVfs49D+VS+S1S+R70eR70GftPIi8lqPJarf2b2qHyPeg0PU5/ib4TsJ/sl3q0FZ0/xp8Jwf897v/rhbV5RP4q+HtjB/pfiyDzv+mHnzVnT/Fv4Y2P/AB6fbrv/ALdvJrq5TnPXZ/jhaf8ALp4dnm/673Pk1Vv/AI0+IZ/+PTSYIf8Arvc+dXjk/wAftJ/5hPgj/v8A6l/9oqnP8d/FnXSfD2lQxf8AXt51LmoGnLXPZP8AhZvxCvj/AMfcEP8A1wtqSDVfiFqv/MWvv+2FeI/8LV+LF9/x6atPF/1wtvJqpfT/ABN8Rz/8TbVr6b/rvc1PtoFewme83sF35/8AxVniyCH/ALCupf8AyRRB4x+E+lT/APE2+Julf9sP33/pPXg9j4A8WXFa1j8HdXn/AOPsVj9cpl/Vpnsf/C/vgjpX/MW1y7/68dN/+SJ4KJ/2xPhjpUGPD3wnvrv/AKb32t+T/wCQfInrzKx+C3n/APH3W3pXwd0mD/l0qPrVOxv7DzNa+/bS8Qz/APIvfDLw5af9d7aeab/0fXPar+0n8bvEcH2W0u4LT/rx02Cus0r4O+f/AMemk+b/ANu1dDpXwWvP+gTUfW6hPJDseOX3ir43eI/+PvxZqs3/AHEp6z4Phz4s1Wf/AEv9K+jrH4H3Z/54VuWPwWtDxd3nnf8AXCs/aVO5dodj5gg+B+rTwf6Xq0//AGwrWg+A9n/y9jzq+pbH4VeE4OPsnm/9d60LHwd4esP+PTSYKrln3H7XyPmXSvgRpM8H+iaTPN/27V02hfAi7/6F7/v/AF9CwaVaQVL9hPtS9n5mfMeOWPwI1b/n0ghrobH4EWkH/H3q3/fi2r0fyPejyPetuUftJ9zjrH4O+E4P+XSeb/rvc1rWPgDw9B10mCuh+ze1Oo5SClBpVrb/APHp+5qaCxyat0VRXKHke9S+SPaiCCkoDlI5+1Q21TT9qqT/ALjmp5iiW5ryL9pr4ZXfjjwdNd+Hv+QjY/vravWJ5/3FZ0/asq9OGIpckkbUK88PU54n5o+I/Dl3oc/2T+1v3M9z532H/pvUulT/AGGevtH40/CTwRqvhzVtXtPBGlf2jPbT/wCnfZv31fGhg8g8V8VmWEnhKvJE/ScizCGNp89rfidB/wAJH5EEVZ+ufEb+yrf/AEz/AFMFEEFpPB0ry34qHVp5/sn+qirwz6UPFXxNvPGOq/ZNJtP3P/Peug8OWPkWP/Taue8KwaTY2P8AolpXW6VP71c585pTnzmTrkHiHQ7/AP4SHwnq0+nXf/PeCrUHxp8b+f8Aa9W8jzv+XnyK19V/06D/AI9K57VdE+3D7J9krUXNDsepaH+0na/2H/x9wVxHxb/aM/4lX/Epu/332bya8n8R+FfEOk303+iT+VWfYeHPt1x/x6TyzV0037M5akJw6EP/AAun4m+fLaaSYP3/APy3ntqt2OlavfT/ANreIbvzpv8AnvPW5pXg77DzdWlaF9/ZEFhWs63P0MfaQodbhpWq3djD/ol35NdN4O+LZg/4lOrVxEE9p/z91U1yD/l7tB/qK5+U6PbU3S5Lnr2ufEbz4P8Aj7/dV574j8f+ePsn2usScatBpXBrDgHnz16GBpw7Hk5jXqQpch7p+yFpOreI/i34Z8Pf6mH+0vtnn/8AXD9//wC0K+4fFUH7iED/AF1eOfsh/sr+IfhXP/ws34heIZ/7Qn0T7HpulQf6mCD/AOP17dPB58/FfZYTDQp0uSR+W5liPreJvGXu9w8OT/uK5P8AaM/cfCTULv8A6iVh/wCl0FdZYjyJ5a4j9pO/MHwW1a7/AOolpP8A6drGug4uY8R88/3qhnnqKe/qHz/asyib7T706qfnH3o84+9AEnn+1TfafeqvnH3o84+9AFr7T71DUfnH3o84+9AElFR+cfeoftA9T+dBmTecfeioftA9T+dH2gep/OtAJvOPvUlZ/n+1SwT0AaP2n3qWCeqHnH3qWCegDQgnq3BPWTDcd6lgnoA3IJ6mgnrJgnq1BPQBrwd60LG371k2E/tXQ2PX8KDP2nkTQWOTVuCCrdjY4q3BY0B7TyMmCCrf2E+1a32H2NS/2f7/AK0B7TyMT7Cfaj+y/pW3/Z/v+tH9n+/610GZifYT7Uk9jW5/Z/v+tE9hWftPI09p5HzhY/CvVp63NK+Dvn179Y/Bz/n7u4K3NK+Euk24/wCW9cHNPudh4BY/B20grbsfhJaH/l082veoPAHh6D/j0tP+/wDWrBodnBz9kqOUDwyx+Fd3P/x6aT/5LVt2Pwd1Yjizgir2P7D7CpoLGtPZeYHmVj8Fbz/l8u4Iv+uFbdj8I9JP/L3PXcfZz6D8qlggq/Zw7AcxY/Dnw9B/y6Vr2PhXSbEf6JaQQ1qwQVNBBS9n5gVLexqWCCrfke9FHIBF9hPtUvke9EHerFaAV/I96PI96sUUAFFFV/P9qAJrmofP9qWeeqn/AC80AaVFQQT/ALip6CeUb9p96m8/2qOiq5iixS+ef71Ref8AuKh+0+9HMBN5/tUNzRPcd6hqQIp4PIqCrk/as+eegDJ1WDz4Zq+E/i34c/4Q7x/q3h3/AJZQXP8Ao1fdmqz/ALjpXy/+2X4V+3T2nje0tP8AUfubnyK8XOMNUq4b3dT6XhvEww+O9nL4TwY6rdwwcVz3jiD+3NK/6a1ozdKqT6Vd+f8A6J/qa+Fn7h+lU3znJ6V4Hu9c/wCPS7ntP+uFZ/iP4ZfHnwpP/a3gjxZPdw/88L6vXfDljitueC0qPrNQ2pvkPmuf4xfG6x/0S78jzv8Al5/0aj/hdPxNnuPtd3q08X/btXtPjH4c+HvEcGfsnky/8965jStKu9D/ANE1a086Gtqc+Q9OEqE/L0PN7H47+LM/6Xq0H/be2qLVfjh8Qp/+QTdweV/0wtq9dgn8Jwf6J9kg/wDAasrVbHwnBD9r0jw9BNLXXzF+xgeF658fvixYzyn7XBN/27Vnw/Hf4x65PD4e0nwnBLNP/wAt569NvvCv/CRz/wCl/uYf+eFdBY+HNJ0qx/0S0ro9r5Hz2O9h7XkPPtKsfibb/wCl+IdWsfN/54QV6D8ObC8voP8AibVU1WCsqDxHq2lQS/8APGlUhznJzU+503xO1y0t7j+ybSrf7OfgC7+I3xa8PeE/sn7qfUvO1L/rhB+/nrzKfXPPn+13dfeX/BN/4H/8I54Am+MfiG0/4mPiP/kG/wDTCx/+319BlOF8j5PiDG8lLkufStv/AMe/41DP+4gmu6t1n32Z56+jPhCpZf6g1w/7Sn/JHNV/6+dJ/wDTtY139ed/tJf8kd1v/r5sP/TtYUAeDTz1Unnonnqp55/vVmaFvz/ajz/aqnnn+9R55/vUAW/P9qPP9qi+0H1H51D55/vUAW6PP9qi+0H1H50faD6j86CeYPtB9R+dH2g+o/Oj7QfUfnUFBJP9oPqPzqHzz/eonnqGeetAJvPP96iCeqn2n3qHz/agDXgnqWCesmG471L9u9xQBr/aB6n86lgnrJ88/wB6l+3D3oA24J6twX1c99uPtSf255AoA7Kx1Wus8K6qJ+9eRf8ACR+R+VfQf7L3wytNV8K/8JZ438O2Oo/2rc/8S2C+03zvIgrqUdDP2nkaOlQfuK0fI969Bg8HeE/+hT0r/wAFsFXP+EA8Jz/8y9B/2wo5TM838ke1Hkef1r0if4c+CBz/AGT/AOVKeqn/AAqvwn3+3Rf9vNHKBw/2Hz+9L9hPtXb/APCq9J62urarD/28wf8AxioR8MiOLTxDP/23tqOSfYj2kO5x32c+g/Kj7OfQflXY/wDCpbv/AKGuD/wW/wD2+qk/wr8Rf8uniGxl/wCu9t5NHKaXh3NyCCrfke9FFebzneSw9KPJHtR5I9qnrQAqSiigAqa36fjUNSUAWKKKKAJKKjo84+9AElWKpQ9aXzj70ASef7UVV+0D1P50faB6n86ALVFVIJ6SgC5R5HvR5/tR5/tQAcwQUQd6innpfOPvQBJ5/tViqfnH3o84+9AFr7T71D5/tUU89VLi+oAtzz1FPfVU+3H2qpPfUAaFxfVUnvqz59VxUM995HNB0Bqv/Hv+Ncb4q8OaT4jsbvw7q1p+6vrbya637QPU/nXPeKp/s/8ApY/dVyzjzih+6+HQ+GPib4c1b4c+OLvwnq3/ACw/49v+uFZ2laraef8A6XUv7W3xG0nxV8W5tW8PatBdwwW0EPnwXNcHpXiu0vq+Ax1GGHxPun69ltadXDQ5tZy/A9YsbjyJ6mnvq5Pwrrnn/wCiV0EHevIO8L6euO8Vf2t39a6yeD99VS+sfPg/49K6qEwPLb6C7gn/AOPupYPtfauyuPCpm62lSwfDm7NdHtfIftqnc46D7XUt9/oNjXbz+DrSA/8APWue8VaV5EFbwlznHOfIcn5/nma7u643xV4k/f8A2SrnjjxH/ZUEtpXmOueKhBB9ru676FCdzza8rnv/AOxp8CLv9pT4xQ6Td/8AIvaV/pniSf8A6Yf88P8AtvX6oWNjaWNjFaWln5MMH7m2gr8yv2Jv+CqH7Mv7PXwrtPhl4t+CPjHSdR+0+drfiPSvIvYb6f8A57/8sJ//AEfX3F+z1+2z+zh+1RcS2nwR+JsGo6hB/wAfOh31tPZan/35uP8A2hX2WB9gqXJHQ/N85p5jOp7SovdPU7jr+FU77+lE99j/AI+6inuO9ekeQQ159+0Z/wAkW13/ALcP/S6Cu984+9cF+0J/yRzW/rYf+l0FZ+z8wPnyqc/apZ56qT3HesyuYPtPvU3n+1U6KnlDmLnn+1JBPVSjz/apJLnn+1JBPVTz/ao/OPvVcoGh5/tR5/tVOiqAm+0+9Q+f7VH5x96gnnoAn84+9HnH3qnPPRQBbgnqWs+jz/agC39uPtUX24e9VJ56pz31acgGv9uHvVO+1Ws+fVaz576tAOh8K6r4TvvFWn6T8QvG+leHtJn1KCHUtc1zUvscMEH/AF2uK+9/AHxp/Za8RwWmk/D39oT4ZXcMH7m2sdK8f6TN/wCQfPr8lP2mtd+z+AJtJ/5bT3MH/o+vPfgR8D9W/aFvtWtLTVtKtLTQ/sP9pfbrbzv9f5/+pg/7YVx/W/3vJy/idn1KgsN7aU2vI/frSvDl3qsH2vSdJnu4f+e9j++qWfQ9WsR/pekzxf8AXe2r8PJ/2BNW0Of7X4ItPDmoy/8ATfTYNMm/9r1uaV8Of20fAH/Ip3fjHToYP+hc8f8Ak/8ApPfVX13+4yf7OoS+Gsn8v+CftF5LUeS1fkHpXxp/4KP+FZ/9E+LHxp/7b+JL7U//AGvPWjB+3r/wUe8Kz/6V8Y/FUP8A2HPBOkzf+lFjVf2hD+Vh/Zd/hqRZ+ss8FL9nHofyr8r7H/gsD+2jofk2ureN/B2o/wDTDXPCUEP/AKT+RXY6H/wWr/aOg/5GH4T/AAy1GH/px03Vof8A2+nq/r9Aj+ycU/hs/Rn6SeS1RfZx6H8q+B9K/wCC4HiKD/kK/sn2N36fYfiRPZ/+4qeum0r/AILZ/DKeD/irf2cPFWn/APYK8SQan/6UQWNa/WqHcj+ysd/KfXFSQd6jqSvMW5oSVYqCHpU32g+o/OtwJaKit+v4UfaD6j86AJaKjqSgCSio6PP9qAJKKKKACio6PP8AagAqSo6KAJKjn7UUUAFSVHR5/tQAef7VF9uPtUM99UVAFv7cfaj7cfaqnn+1VJ76gDQnvqqT65aZ+yf8tq8h/aT/AGy/gj+zZpX2v4heIfteo/8ALt4c0r99eT18G/H7/gp38efibqt3afD3V/8AhDdEn/c20Fj/AMfv/bab/wCMVzTxMIHqYTKcVitbcse7P0q8f/GL4e/CvS/7W+JvxC0rw9af899V1KCGvBvH/wDwVe/ZE8Kz/ZLTxDrniGb/AKgeifuf+/1x5Ffl/rmuXniS+/tbxDq19qN3/wA9765nmq34c8K6trkH/Ep0r91/z3rknj+Q9yhw/D/l7Jn2l4x/4LZWkM//ABRH7Pc80X/PfXNb/wDaFvB/7XriNV/4LA/tS+I5v+Ke+Dng7Tv+3aeb/wBr14hY/DLSdK5u/wDS5quTWP8Az6WledPNOQ7sPk1H+Vfceu/8PGP28vEf/H34h8K6HF/04+G4Jpq4j40/tl/tCar4cl8Pat8Y9cu/7V/c20EHkQ/+k9YcFj+4rg9cg/tz4qRaSLT/AJBVt51cv1/6x8R0f2fTw/wxX3He+DrH7D4WtNI+1+d5FtVSe+u/Dl91/c1a0OetzVfDlpfWP/PWvAr1oOrzy1PoqEJ+y5rFTSviN5E8V3XrHhXxhpOuWP2u0u6+atc0q70Of/lv5VGh/EbVvDk/2u0oqUITN6bpw6n15YQWmq9q0ILHSYK+a9C/ahs4J4f7Wu/KrsYP2m/Cd9B/yFqxp0KkDa8O569PPpMFZ2q31mP+PSvIb79ozw9P/wAvcGf+vmsrVf2k/D0H/Hpd+dXVyT7GM3yHsd9rlpBB/pd3XlnxG+I2kw/8vdeceMf2kzfGa0tLuvN9V8Y6t4jnrsoUII8yvI0fGPjj+1b6b7JWHfeDvFniqx+16T5Evkf8sPtNEGleRB/pf+trvPg7oWrTz6sPsvm2kFtBNc/9MK9I8yv7c8S1Wx1bQ5/smraTPFN/03q1pXiMWN9aatafubux/fW19Bc+TNB/23r6lg8D2muQG0u7SCWGf/lhPXKeMf2QvCeuQfa/D3n6Td/9MP8AU1rTr05kct/i1Oh+Dv8AwVl/aw+HMEXh7xZ4hsfG/h77N5P2HxH/AMfv/gb/AK//AL/+fX6U/Aj4/fDz9pP4Zaf8Tvhjq0EtpfW0E2pWP2n99pU//PCf/pvX4mfEb4V/EL4Oz/a/Fnh6f+z/APoK2Nt50Na3wI+P3xN/Zz8f2nxN+E3iH7JqEH7m5g/5Y30H/PCeD/l4r6Om8VGl7WS5od0fPZllOFxP8Bck/uP3P84+9eeftCz/APFpNc/7Yf8Ao+CuO/Ym/bS8PftieB9W8Q2nhP8A4R7W9D1KCHW9K/tLzv8AXwfuZ4f+mH+v/wC/Fdj8frjz/hJ4hOP+Xb/2vXoHyk4TpVPZyWp87T9qqTz0Tz1U+0D1P51zkk1HnH3qH7QPU/nUPn+1BXKXPOPvR5x96p0UFFzzj71D9oHqfzqGigCb7QPU/nR9oHqfzqn9oPqPzo+0H1H50GZN5/tRVTzz/eo88/3qAJp56h88/wB6oZ56i+0+9AFqlnnqHz/3FZ99fVpzgTX1/msm41Xz6hvr6qn2n3o9p5AaH2g+o/Oql9feRB0qL+0Pb9KxPGOueRY/ZP8AnvR7TyK5Tyz9oXVft2h/9xKvQv8AgnBY3cGleN9WH/L9c6TD/wB+Pt3/AMfryL403H/FORf9hL/2hPXuf/BPy+tJ/hlq32T/AF0Gt+Tc/wDfjz//AGtXlf8AMUezX/5FlA+kKKhgn/cVN5x967TyuYKkgn8j/j0u/JpYP3/NT0Ej557ueD7Jd3c80P8AzwnrE1XwB8PdV/5C3wy8OXf/AF/eG4Jv/aFbFN+0+9Z+z8wOTn+BHwcvv+Pv4ZaHF/146b5P/pPWfP8Asofs9zj/AJEieGX/AKYeJL7/AOP16F/qKIO9P2dPsV7Wv/Oz7YqSDvUdNtqyKLfnn+9RzOaiooNfaeRJRUfn+1FdBkSVP9oPqPzqpRWftPI19n5luCepaz/P9qm+3D3rQyLVFVPPP96ieeg09n5k32g+o/Oj7QfUfnVTz/akgnoD2fmXPtB9R+dQzz1F5/tRQZlv7QfUfnUPnn+9UM89VZ76gDQnvqqef59RQT1DcXHk0Gns/Mt/afeofP8Aaqv2gep/OknnoNCae+xXwn/wUY/4KMXfg6+/4Uj+z34s8m7/AOY34j0q5/1H/TCCur/4Kd/tbat8MvA//Ckfh7dwf8JD4jtv+JlP/wA+Nh/8fr8wdc1X+yp5v+W13ToYSvif4Sue3luEhD99VT9LG3quuXd9PNq3iLVp7u7n/wCPme+ufOmrEvvFXn1zF9rl3PP9qu6z59c8817WHyfC0KXLVV5d3/kez9Ymvh09D3n4H6H4T8SQf2tq3+lzQXP+or2P7D5//LpXyH8K/HF34V8Y2l39r/cz3Pk3NfaOh/ZL7Sobu0/5b1+acR4apl+O9n0PawM/b0+eRz0+h1FBoddjPpVRQaV+/r5b28z1jnv7DHkZ96qfEbwr9hv9E1b7JY/8gSCH/Qbbya6y4saPibY2k9jon2T/AKBv+k/9d6vmM/Z+Z57pUH7/AK109jP+4zWTBB5M/wBa0IP3H+iEVFRc51UIGdquh2l8K4PxV4A8j/j0r0K8rOnnq6dSpT6iqR5zxfVfCt3B3rEvtDu+9nXsWuaVaT/8elczfaJ62dd1CvA5qlOpPoeZTfa4Kzp57uu91XQx/wA+lZP/AAjnkV6NOpydDzq6n3Oeggu5+buum8OWP7iqnkfv63NDsTPSMuUmng8/g16P8FtD8/8AtG7/AOob/wC164P7D+++yV678FtDu/7C8Q3f7jyYLaD/ANH1PMY+z8zsfDmlV08Gh1U8OWPkQV0+lWNcyrVO5fsafYw9c8HWeq6Vd6Tq1p5sU9t5NzBX54wfuOa/R74qaraeDvhl4h8Q3f8Ay46JPNX5rXE5ggr9Y8P9aVectTy8dA9Y/ZQ/aF8Q/s2fGLTvib4eu5/sn/HnrelQf8v1h/y3gr9JL79qH4I/H74LeIbv4ZeN4LuaDTZ/tOlX37m9g/7Y1+Qljf4rQsvEd3BcG7tLr97X2GK4dwNfWl7j7o8HG4SnXq+02kfo9PPVSvlr4O/te+LNK/4p7xZ/xNoYLb/Rp5/9dXt3gf44eCPiNB/xT2reVd/8+M/+ur5HF5RjsJrKN13R4tfB18PrJe73Wp29Q/aD6j86igvqJ568wwJftB9R+dReef71Ref7Uef7UASUvnn+9VSe4706gzHzz/v6inuO9Q+f7VF5x96AJfP9qPP9qi+3eRUP2gep/OgC35/tUXnH3qpcX1VJ76gDQ+3D3qrPPUPnn+9VS9vq05AIb6eqn24e9VdWvv3FZ39oe36Uez8wNv7d+4x71xHjHVftE9a2q675EGK4PXL79/WZocz8Yp/+JHacf8xL/wBoT19Vfsk/ZJ/ghol3/wA99N8n/vx+4r4++Kt/+40+0/6ea+pf2Lb7z/gRpw+1z/8AHzPDXnf8xR69f/kWUD2/7QfUfnRBPWdDcd6lgnrtPINeC+q15/tWVBPUvn+1AGh5/tR5/tWf5/tR9s9/0oJ5TQ8/2qb+0Pb9KyfP9qm+3D3rP2nkUfc0HerFU/OPvUlZmhYpsNx3p1FB0sKKKKBBRVeigCxRVepragCaiiigAqOiq9AE32n3o+0+9VJutS1p7TyAKj/0Kjzj71Xo9p5AXPP9qqzz+fUPn+1VNV1y0sIJru7u4IYoP+PmeetALc89fOv7Yn7evw8/Z60rUPCfh67g1bxlBbf6NpX/ACxgn/6bV4v+2l/wVC+wi7+Hv7Perfuf9Tc+I4P/AGhX57+KvH+rarPNd3d5PLNP/wAt57mvawOWQ/jVV8j0KGC/e89VG58W/jT4s+I3j/UfiF4s8Qz6hq19c+dc31cP4qvjPP8A2taf8t6xNV1X9/3osb60vtKu7TVruf8Acf8AHtBXrz/d/Doe3Q/hchUn1Wqk8+J/9Eom6VnT9qKnvl8xuW9x59fTX7KHxwN9B/wr3xDd/voP+Paef/lvXyppV9W5oeu3eh6rDq2k3flSwf8APCvBz/KYZngeS3vnqYSvTgfozBB9ogqH7N7VxH7OfxbtPiN4Vh+2f8fcH/HzBXpE8FfitfDTw9X2cviPfhPnMjyPermuT6Rrfw5tLS0/fTaVrfk6l/0w8+pPJHtUVj4OtPI8Q3elaT513fW32y5n/wCuFTT9815TlNV0Oqfke9bnn2l9YxXdZNx/rqwKMnVqw5+1dPPBWffaVaefWntPIDmL+DyKzr7+ldFqulfuM/yrnr6DyK6YLnAw9drmNcuPeuh1zE9Yk+lef3r0qc+Q86uZOlWIvp+v7mus0r9xB/ogqpY6V+4xXQ2OlfuKftPI5uUNKsftE/NeseB7H+yvA93d/wDLG+1uCz/67+RB59ee2Nj9hg+112XgDXLPVdD0/SbS7nm/0me81KD/AJ4f8sP/AGhWVSfOHKem+Ff+WNdvocH7iuN8OQV2WkziCCsYLnJPG/8AgoH4x/4Rz4LQ+HrT/Xa5qXk/uP8Anh/r6+E76evon/goV44/tz4m6f4TtLvzYdK03/Uf9N56+Zr6v3zhHD/VMkhzL4vwPDxX7zEkv2jyOaig1WoKjr6b6xM4zvPhlY2mua59ku9W0q08jTb+b/ia3P7mf9xP+4/671Usdcu7GeK7tP3M1VPAF9aWM+o/a/D0Gow/2JPD/wBeP/TeqnnH3rahpz/3vwOicac+h7n8Mv2r/FnhzyrTxZdz6taf895/9dBXvPgf4qeE/iNpX2vwnq376D/j5sZ/9dBXwxBfVueFfGWreHNVi1bSbvyruD/j2nry8x4fwmIpc9B8s/JHjV8up1v4cbH3Z5/tR5/tXmfw5+OGk+I54vD2rXcEOoz20E1t5Fz+5n8+u88/2r4CvQqYaryVdDwZ0alKryTVi35x96POPvVSeeoftB9R+dYkcpb+0D1P51F9s9/0qp9uHvVSe/oDlNCe+qpPfeRWTPqtZ8+uGDkVpyEm3PquKqf2p9a5++8VWlQwa759aAdNPqtZ99qtZM+q3dv3rOv9coA0b7Vaz/7U+lZN9qtZF94jrP2nkBo+I9c5rmb6/wA1nX2uG4nrOvtVrnNDK+Jt9589p/23r6l/YYnux+znpP2sf8xLVv8A0unr5E8Yz/aJ7SvsD9iaDyP2ZfDH/Xzq03/lWvq4KEf9pPUxUuTBUIHscE9TQT1nVLBPXeeWa0E9S1n1NDcd6ALfnn+9R55/vVU+0+9H2n3oJ5i3BPU32g+o/Os6G470fafego+/qkqnU8PWuc0JfP8AarFV6PP9qDpZYqvViq9AgooooAKsVXqxQAUUVXoAm+0+9Q+f7Uef7VVuOn41p7PzAm84+9V6KKPZ+YBUdFYfj/xx4f8AAHhXUfG/izVvsmn6Vbedcz1cFUq1eSKAm8R65pOh6VLq2rXcFpaQW3nXM89fnD+3B/wURu/iodR+Hvwy1b7J4Yg/c3N9/wAtr7/7RXB/tpft3fEL9o3VZfD1pdT6T4Zguf8ARtKguf8AX/8AXevnCDXLs6rDaaTaebLP+5toJ696nl1PDUueqk5+p7uW4D2XxaGTrniO7n61zs9959XNcgu9KvptJu7TyZoP3PkVnTwV7VN+0PR5SpfT1N4c1X+yr6LVv3Ev/TCes7XJ/IgqppV959c1enB/ErjoTOh8R2OrQarN/a2k/ZJp/wB95Fc9ffuK7HxjY+IZ9K0nxZ4h1b7XFqtt/o0/2r/nhXJ30BFHtKcvhdzSdOdN7EVjPWtBPXPQT/v61rCf2qqfvmlJ86PR/gf8VLv4c+MYbv7X5NpP+5ua+4vCviq08R6HFq1pef6+vzgr3r9lf4t3cEEXhO71b99/y7efX5xxjkv7r63Tj8z28DWqez9n1PsD7QfUfnWfrmq3elQS3dp/z7Vz2leKvPrQF9aT1+d04ch6Rx3wy8VXeuaV9k1a08maCunnsfPrh9KgtPCvj+W0F3+6n/5YV6dYwHyMVVf3fh0FTXszDn0r9xWTqsHkc/lXez6V58Fc7rmh+eOlc3Mb8xx09x51Yeq2Pn12UGh1L/wivn100/cM+Y8nvrHz6i/4Rzz569Sn8D2k89Rf8Id5MFbe3gY+z8zgtK8OefPXWaV4V/6dK3NK8HfZ66ex8OVftPIynHkPPPEeh+RY5pfgDof+gXerWn+pnuf9f/z3r0LxxpVpY+FNQuz5H7i2nrO+BFj5/gC0vLv/AFs9zPNXR/zCnId74ch+z1q6tcf2VYy3d3+6igrPgP2GDrXnv7VHxUPgf4LasBd/6Xff6Hbf9t668uozxuJhQpauRM5clPnPij4qeOLvx/441HxZdj/j+ufOtq46eerd9cdqz5+1f0JQjDD0oU4rSP4nzlRc9XnJbH9/U08FZ1jP++rSrtpz58MM3/AFj4hGh+LPEOk3cEMNjonk6l5//LeCeeD9xXPTz/v6t2NjaT6VqN3d6t5UsFtB9mg/57/v6yvP9qywlbk6v5q36lV4G1Y9fwpZ5zPBUVjP+4qX/lj+NexbmpcktTlOm8VeI9XvvFUviG7tNK06Wf8AfeRodt5NnB/1xr2/4H/H465YxeE/Fnn/ANowf8v0/wDy3r5qH9kwX3/Epu55vPtoJrn/AK71owT3cE8V3aXfkzQf8t68/F5bQzPA8hzY6jDEfEfbf279xmqnn+1cd8K/GNp4j8Aafq3/AC2/1Nz/ANd61r7XPI61+Y16M8PVnTlvH8T5g0J9VrJvtcMBrJ1XXK5++1WsgNu+8SdhXJ+Mfib4T8K/8jD4ssdO/wCv7UvJryz47/tJ/wDCDf8AFPeE/Im1H/l5n/58a+YNc8VXeuX0urXd1513P/x8zz1pzmZ9S/E39sTwR4VsfsnhP/ieXc//ADw/1MFeOT+MR8afterfFj4xz6TD9p/4lulQW37mvMp57uc1Um+2Ue08jP2nkdvB458cfB3Vf+LY/GOe7tP+mHn+T/35uP3FeheFf24fG8H+ifELwnY6j/03sf3M1eAfbj7UfaD6j86PaeRmfXlj+018MvEcEOPEM9pNP/ywvrapb7xvaarB9r0m7gu4v+e8FfJME93U1j4j1bQ5/tek6t5U3/TCszT2nkfTUHiPz+amn1WvEPB3xwu554bTxD/4HV3n/CRj2rM2py5zd1yfz76Gvtb9mwfYfgP4TtO39m+d/wB/5556+Ep7/wC2z19z/s5z3f8AwojwRd3f/LfwlYTf9/4PPriof7wenjv92oHpEE9W4J6yYbjvVuHpXaeca0E9LVOCepvtA9T+dAE1HnH3qH7QPU/nUPn+1AFuHrS+cfeobfp+NTUAfoBRUfn+1Fc5oSVPD1qCig6WXIO9FRQ9aloEFHn+1ReS1LQAecfepKp1PBPQBLRUU3WloAgnnpKKjroAkqPz/aieeqk89Z+08jP2nkE99X5w/wDBSb9sXVvH/iq7+DnhLVvJ8PaVc/8AEy8j/l+nr6f/AG2f2obT4H/CvUbS0M/9uX1t9j03yP8Alh/03r8mvGOuXd9fTXd3d/vZ7nzrmvpMmwXJ/tFVfM9zKsJy/vpK3kYmuar589c7PfXcE8V1afuZYP33n1o30/n9ayL7r+Fe4e5yGl4/8OXfhy+0+7u/EMGoy6rpsF558FYcH7+rcGlaTP4Ou9W/taCK7guf+PH/AJ71ief7Vz06ntOjXqrF2qdiHXLHz4K5ixvvIvutdlPieDFcRrkH2HVaiucdf+LznewaVq0/g7/hIftf+iQXP2PyKzrmpfAGlWniTStWu7vxDBafYdN87yJ/+W9RXNY0Pe+LU7TEvv3M9WrG+xUWqwfv+lFnV8oGtBf1raHrl3oeqQ6taH99BXPecfepoJ6569CGIpTpz2l+BrTqclXnsfbfwW8Y2nj/AMK2mrWh/wCvmvQoLGvin4A/Fu7+GXir/S7v/iXX3/HzX2N4c8VWmq6VFd2l35sM9fjmeZZPL8Ta3u9j6DCV6dT4TmfibYjStctPENraV6P4cn8+xiu/+e9cd4/0q08VeHJrT7JVv4SeI7S+0OHSftcEssH7n9x/qa8ypUhUpc9xHo8H+p/Osm+svX9K0Lfr+FRTkz8YryzsMn7FaetS+R71cuLHNJ5Hkda0J5SrBY+fPUsOh/aO1W4ILTpUv2g+o/OgOUILG0sRS+daVDPcedWdfX3kV0EmV8Y9V8jwdd2n7j9/+5/f0fDm++w+DrS0/wCeFtXMeP8Aw54s8fwS2nhP/mFW32zUv9J/5Yf6j/2vWtodj9hsYrTFdVT93T5Dl5Tpr7xVaQwf8fdfIv7YnxUu/GPiO08Pf8ulj++r3n4jeJLTw54cu9W/54W1fFHirxGPEWuTatdn/X197wFldOpjp4uS+Hr3PLzWr+75bGdPPUU8/wC4qHz/AGor9b5jxSKCf99WtD0rKq1YT+1Vh6vkBtwT+HoPDmo/a/8AkIfaYP7N/wCuH7/zv/aNc9/y+1uX2uWf/CD/APCPf2T/AKX/AG39s/tX/th/qK5+opz9oKa5zV+3D3q3BfZglu656HrXTeB9DPirxVp/hP7XBF9uufJ8+f8A5YV1+1qRpcsXaXf/AIAWv8Wpo+OINWsfHF34e8Q+HoNO1HQ7ax025gg/6YQf6+qnnH3rPuNV1bXPEeo6vq2rz3d3Pc/6TfT/APLepdQ/49q7qEqksNeTvLuYHoXwd+Jt34V1v7Jd3f8AxLr7/j5/6YV7Hfa559fL9jOYOa9T8AeKv7V0r+ybu7/ewV8rxPl0KX+2Rjr/AF1PCzLCcn763yOyvtVryb47/He08AWP2TSbyCbVp/8Aj2g/54f9N672ef8Af18O+OPFV34q8Vaj4hu7vzZZ7meavizyuYq65rl3fTzfa7vzpp6zp56qTz/v6innoMfaeRt299+4o+0fuaybCf2q355/vUGZFOfInqGe471Lff0qpP2qeYDRgvv9Hom6VUsJ/apqkCHz/wB/Xb+APGN3+50m7/7dq4Ob/X1a0qcwT0GntPI900qf7d1r9CPgfB9h+Dvg60A/1HgnSYf/ACRgr84fDl8f+EVlu/8Ap2r9KfAEH9leDtJ0n/nx0SCH/vxBXHRPZx3+70DpoO9W4J6z4J6l8/2rsPONHzz/AHql+0H1H51RqTz/AGoA0KKqQT/ual+0H1H51XKBNR5/tUP2g+o/OpqOUD9A4J6lqnS+ef71cpoW6kqt9oPqPzpaDT2nkWYJ6m+3H2qpBPUlBqWPOPvVeiigy9p5BTvtA9T+dQ1JQaDvtA9T+dNoqOeegAuLjyKqT31E89VLmgAnuO9VJ77FE89ee/tGfEb/AIVl8FvEPiz/AJawab/o3/XeroUqmIq8kUVCPPU5D89/+Cgfxpu/ib8d9WH2v/iXaV/oemwQV8wa5ffaJ66Dxjrn26+u9Xu7z97Pc+dc1xP27z/9Lr9DhHkpez6H18HyUuQJ+1Zt91/Crk9x3qnfdfwo5jdbFXw4NJ/tyG08Q+fDaf8ALz5FZ2q/ZINVm/sn97F9p/0as++vv+JtXQ+OJ/BE9jof/CJ2k8U39mwf23BPc/8ALeuJ/wC87v7zn/5dchnQT1z3jGDP+l1owT/vqi8R/v7HNaVIc5Nef7rnIfhzBaa5rkPh671aDTop/wDl+n/5YVoT/wCumrk4P3E9dv4jsfD2lar9k8Pat/aEP2bzvPrloSqe15LmmH1pchlX0FZ0H7ietabrWd/y84rUrn8iapYZzBP1qKeeiDvU8oc5o+f5/SvXfgD8d7vwrPF4f8Q3f+if8u1eLwT+RUvnH3rzsyyuhmeG9nV+Lv8A8D/gnXTxE4I/QLQ9VtNVsf8ARP3tdPP/AGtPpWnat/ZNjDFpX+h3N9B/rp/+u9fDvwk+P3iHwPPFaat/pdp/6Ir7G/Zk/aN0nxVcaj4S0nxF5X9uabPZ/wDf+CvyrMclrZZV5asbx7o9+hXhiPhO3sZ/3FTQ9K4jw54q8iebSbv/AFsFz5NdNBqnn181UhyG1CRrfaD6j86z57jz56qT337iqn9re/61BtzG3BfVFPqtYk/iPFZGq+I6GSbl9rn+kcVk32ueeOKxL7VfPqGCfz69H2UOxmdZY2P/ABQE3iH7X5Muq639j8j/AKYQUGe0ggqH4xeP/BHwy+Dvgi0u/Ph1CD7fealPPc/6/wA+eDya+Vfip+1D4h8Y+bpPh7/iXad/0w/109e7lWQ47NdYrlXdnBXqQodbnQ/tX/GLSb7zfCfh67gm/wCfnyK+dZ+1TX18Z5+tVa/YMqwFDKMN7Gl9583XrVK1Xn2JKjoor2jITzj71DBffv6XyP3+Kpz/ALi+rH23kB1t/Pq3/CAWlpd2n/Eun1qea2n/AOm/kQef/wC0a57z/wBxitvVR4h/4QfQ/wC1/wDkE332+80T/v8A+RN/5Hhrnr79xBWtD3vh1MJrkJbfp+Ndb4Og8ET/ANof8JvdzwwwaJPNpvkf8t7/AP5YVxtjN58FdDq2reHoPhzDpP8AZM/9rf2l9s+3T/8APDyP9RWs1z9X95ftDP0qfz5+a1b6f9xXPaL1q3fX37+u/DzuZmtYz10XhXXP7K1yH/pv+5rmIJ6mgvvPnzmt8VRhi8NOjL7XXsYVo81Lklqeu3195E/SvhjXIPsN9Laf88Lnya+u/wDhKvP0OL7Xd/vq+Wvi3B9h8f6taf8APfUvO/cf9N/39fklenUw9WdOS1j+J8pWicxUdFFYHKJBP++rQgnrK/5eatwT0AS6hVWrX2n3qpN1oAIJ/wB9Vv7T71n2/wDr6tUARTdat6fVSbrUsHeg05D1Lwr/AMiDef8AXrPX6i2U/wBnn+yWn+qg/c1+Y3wysPt3hy0tP+e/7mv0vgn/AH83H/LzXHRPYxH/AC4NuCercE9ZMF9UsF9XYcZref7Uef7Vn+f7VL9oHqfzoMzRhuO9Tef7VkfaB6n86uQT0AWoJ6mgnqp9p96PtPvWftPID9DqKKKx5jQkoqOiqNPZ+Zb+0H1H50QT1BRQalzz/aovtB9R+dQ+ef71Hnn+9QZez8yb7QfUfnUsHeqkE9TfaD6j86DQJ5/I4qnPPRPPTKACoJ56nqlN1qeYCK46fjXx9/wVJ+Kn2HwrpPwytLz97ff6ZqUH/TCvrW+nr8sP2xPi3d/FT40654h+1+baQXPk23kf88IK9zh/C+1q880elk0faYk+cPH98fPls8f6+sSb/UVoeOIPttYcF+Z4PslfVHvB9oHqfzpb7/U1D5/kT80ah/x7UGnOcbqs/wDxNa7LwrfeCP8AhBtbtPEFp52rT+R/Yk//AKPrz3XJ/wDia9K6fwBquk6Trmnat4h0n+0bSDUoJtSsf+e8H/PCvJr/AMLnu16OxzYT36vIUqW+/fQVrfEe+8Par4q1HVvCek/ZNOnufOtoP+eFZ8H7+DFb0589LnNJx5KfIcxzBPXZQaHpMHgfT/ENpq3nXc9zPDc2P/PCuOvswX1dN4O0O01XwprniH7XBDNpXkfZoP8Anv5//wC4qZ14Q7v0VzlwvvkFVYP+Pg/WpvI96jrp9n5nTzDfs59B+VE8P2cVNB3qG+6/hR7PzKD7QfUfnU0E9Z0E/wC/q3BceRPWZpzlz7d5FbfgDx/4h+GXjHSfiF4Tu54rvStSgvLb/thXPeR5/wDpdVPt32e461yY7D0MRS5JIunWnSq88z7A/aT+MWk/DL4txeIfh79u1HQ/Eem/2lbT33/Pf/ltU3hT9svwRfQQ/wBr3c9p/wBd68W0qe7+Jv7Mt39ru57vUPAGpedpv/YJn/10H/f+vM/t1n7V8jT4cy7MaU4cvLOPbqel9eqUelz7x0r4xeE/EcH/ABKfEMEv/bzVw6r554r4Hgn8mf7Xafua1oPGPiGx5PiGf/wJrh/1Ht8NS39epr/avkz7WvtVrJvvEdpBPkXdfJ//AAuLxvB/zMM83p59zWfffFTxDff8xaeop8FV4f8ALyJP9pUOzPqXVfib4e0P/j71aCue0P402nxA8f8Ah74ZeHv+PvXNbg03z57n/UefP/r6+ap/Ed3ff8vdekfshQeIf+F0/wDCwtJ8PT6jF4H8N6t4k1L/AJ4weRYz/v5/+289epPhbA4HDXk3KXfb/M5vr069XktY6z9vXxUdV/ah8ZeHtJ8Q2OoaToepf2bol9pX+p8iCvEb2+qK+1Xz/Ou7u8/ez/vrmsm41Xz6+4wlCnhMLCjH7PU82dacy19oHqfzqbzj71k+ef71SwX1dtOXIZFueej7QPU/nUU8/wBogqGCf7OK19p5GftPI0fOPvWdqn+upZ74wf6XRPOZ4Kip74e08jQv/wC1rfwd4eu7vVvOintp/s0H/PD/AE6f/wDf/wDbes7VZ8WNRX39kwaVaXdp5/2v7TP9p/8AaFVL6f8A0GufCT5KXIZVpXNvwrpWreJL6Hw94etJ7u7vv3NtBBbVo/EbxVd+I/8ATLu0gtPI02CztoIP+eEEHkQVN8K4fFmlWN38WPCerQad/wAI5cwQ+f8Aaf33nz+f/qa43xTrn7j7JmtaGK/vJ+moTlyYY3NK/cQUef8Av81k6Vqt3cQxVLBffv69ShWp+z5yDcgnEEFS6fWd9oHqfzq5BPXXD30B0Njff8uleI/HeC0g8cTZP+vtoPtNer+f+/rxf4xar/avji75/wBR+5r4fiPBfV8TCvFaS/A8LMY8hylV6sUV80eIU5+1W7GeoKjg/c9KANDz/aoputLRQBDb/wCvqXzj71F/y81NQAVLY/8AHzUVS2P/AB80HQe0fBaDz77wxaf899bsIf8Av/f1+idjfefX57/AeD/iuPBFp/1Mmk/+l0Ffe8F9XHRPSrw+D+7+J0UE9S/afesmCepftw967DlNGC/q3BfVhwT1L9uPtQBufaD6j86IL6s/7d59ENx3oMzbgnqbzj71kwT1L9oPqPzoA/SapKjorjNCSiDvUdFaLY6WSUVHUlAgoqOm/afegCaDvSTz1F9p96innoAlnuO9Q+f7VHRQAecfeqc89Szz1nzz1mBwf7TXxG/4Vl8FvEPiwXflS/2b5Nt/13nr8mfFWq+f52DX2N/wU7+NN3P4j074OaTd/ubG2+2al/13/wCWNfDuq6r5881fdZHD6vhvePpspoQo4Xuczrk/2ifrWJ5H7/Famrf8fB+tZc8/7/mu49IztVn/AH9H/LH/AEupb79/VXz/AGoOXmOH8VT/AOnVo+HJ/wBxWd4x/wCP4fWl8Kz15552EnyVeQ7zXdc0m+8D6T4e/wCEeghu7Hz/ALTfQf8ALesSx/1NaHhXxXd+FZ9R+yeRL9u02ezufPrPg0q70mf/AEu0nh8+28628+ubCfuavs+Wy9T1K5zuqwf6dW54A8OWniqfUbS71eC0+w6bPefv/wDlv/0wrJ13/j/q34H0O88Sa5FpNrdwQzT+f+/n/wCuFFerya83Ku5wUJfvOQtwT1DP+44qKx6fjUt9/rvwr0faeR1BB+/4ovoKmg/1P50XlHs/MrlMm2q1UdSUez8w5i5B+/rP1yA+taEH+p/Oqmq/v+c1jXhqY15Gt8HfjT4i+GV/di0/e6dqum/Y9b0qf/UzwVzFjPd2M/2Qf8sKyp/3E/StW+n/ALVgh1b/ALY3NcFOjClV54omhXqGtY33n0X3X8Kz4J/s9aME4ngrtOjmKnn+1Q/2h7fpVuexqLyPer9nPsY+08g8/wBq29D8VeIfDnhXVrTSdWntP7c8izufIufJ8+CD9/8A/GK5mf8Acc1a1Wf7PPaaT/z423+k/wDXef8Az/5Arj9lDEVeSSL+sVC2Z/PgqGlh6UleqYEdSw9Kin7UUGntPIlgnqX/AJds1VqWCetuYzCbpWdBffYZ/sma0ZulYmqnyJ6yqT9mrk8x1k994en8Af2QdJ/4nn9t+d9u/wCnDyP9R/3/AK5if/j3Nbljruk/8IBF4d/sn/iY/wBtz3n9q/8ATDyIP3H/AJA/8j1kX0BFTTXsyapuT2Ok6H4A0nVrTxZ9ru9V8+bUtKg/5cfIn8iGuT1Wfz4OKm8R31pPPL/ZNp5MP2n/AEaD/nhWdPP+/hrC85fE7nNOfOzQtv8Aj3i+la1j+4rPh61oQT16+HNTRgnNxPVviCqlj+4gqHz/AN/iu2nP2YGtBP58+K8o+MWlfYfGM13/AM9/31esWPb61wXxwsT9htNWH/XGvJ4jh9YwPPE8rMY8+GPM6KKr18CjwAqOftUlRz9qAJYJ6nqnVuHrQAtFFFABUtj/AMfNRVasf9cKDoW57z+z1B/xcbwdaf8APDW7Gb/vx+/r7csZ6+M/2bbHz/jF4ZtD/wA/M/8A6Qz19g2dcdE9KvP95yG3BPS+f7VT8/2qaG471oY+08jQ+0H1H50faD6j86z/ALT70Q3HetOQzNa3vql+3D3rJgvqm+3D3rQDWgvs1bgv6w4L6rcE9Z+z8yeY/T+DvViqUE9S/wCvrnKLFFV6sUGntPIKb9p96PtPvVXzj71XMaEnn+1R+cfeiqf2/wD0iqAuVBPPS/aB6n86qTz0AaPnH3qvVb7QfUfnUsHegAnnrPvp6lm6Vx3xp1z+w/hZ4h1Yf8sNEn/9EVcIc9XkFTfOfmL+0p4/u/H/AMVPEPiz/n+1Kf7N/wB/68R1Wf8Af9a7HxHfef8A9t64PVf3F9X6DD3KXIfa04ey+Eqar+/rJn7VNrs95BPVP7cfap5g9p5EU8/7+oZz5HBqK+/1Jqp9uNxBWPtPI4/aeRzHjH9/PWfoc/2efmtDxT0/Gufgn8ievPPPoS/2k7Hzz5Fa0Gu6tqvk/wBrXfneRbeTbf8AXCuTsb7z4K29C6S/Wtac+c9Sn75n+KoP39W/A+latrniO08PeHrvyru+ufJtqqeIv+Pj8aPCt9d2Oqw3dpd+TN/y7T0q6pw68pzQlUjifdjc1vsP9larNpN2P3sFz5NQ33+u/CrfiPQ9W8O65d+HvENp5V3Bc/6TWdXT8a/mOkuWNx2qG+6/hRBP9nFE/wC/5pAVakqOpYB5/NAEv2c+g/Koa6fwd4H8Q+P/ABHp3hLwlaedqGq3Pk20FdP+01+z1q3wB8fzeE7vz5bSe287Tb7/AJ71539qYH+0vqHOva9iqmFrzwvt7e6eLarBU2hz/aIJdJu/+W//AB7f9d6t38HvVT/UTxXdp/rYK0rwsefyk1j2+tW4O9dD44+GXiHwPofh7xvq1pB/Z3jHTf7S0SeC5/6bzwf+0KyILGtKdenV+E9BU59i3AfPg61UvoK9p/ZC/Y0+Mf7aXxGl+GXwR0i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+  "Department": "Software",
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+      "face_confidence": 0.9999995231628418
+    }
+  ],
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+    }
+  ],
+  "Image": 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+  "Department": "Software",
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+    "$date": "2024-03-08T12:08:39.803Z"
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+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T12:14:44.990Z"
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+  "Name": "Dhruti Raval",
+  "gender": "Female",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T12:15:43.731Z"
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+  "EmployeeCode": 8058,
+  "Name": "Akshay Wani",
+  "gender": "Male",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T12:17:05.177Z"
+  },
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+  "EmployeeCode": 2291,
+  "Name": "Disha Jadav",
+  "gender": "Female",
+  "Department": "Software",
+  "time": {
+    "$date": "2024-03-08T12:19:24.808Z"
+  },
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"
+}]
\ No newline at end of file
diff --git a/Model-Training/Evaluate_model_1.ipynb b/Model-Training/Evaluate_model_1.ipynb
new file mode 100644
index 0000000..f3e43b7
--- /dev/null
+++ b/Model-Training/Evaluate_model_1.ipynb
@@ -0,0 +1,3917 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "colab_type": "text",
+        "id": "view-in-github"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Devasy23/FaceRec/blob/feat%2FModel-evaluation/Model-Training/Evaluate_model_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7dpZF1CUCJjJ"
+      },
+      "source": [
+        "# Pre-setup\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Ca5SxWfjCGjM",
+        "outputId": "7907eaeb-6cfb-49ae-a26e-775e0c83c2e6"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Collecting deepface\n",
+            "  Downloading deepface-0.0.92-py3-none-any.whl (105 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.5/105.5 kB\u001b[0m \u001b[31m1.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: requests>=2.27.1 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.31.0)\n",
+            "Requirement already satisfied: numpy>=1.14.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (1.25.2)\n",
+            "Requirement already satisfied: pandas>=0.23.4 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.0.3)\n",
+            "Requirement already satisfied: gdown>=3.10.1 in /usr/local/lib/python3.10/dist-packages (from deepface) (5.1.0)\n",
+            "Requirement already satisfied: tqdm>=4.30.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (4.66.4)\n",
+            "Requirement already satisfied: Pillow>=5.2.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (9.4.0)\n",
+            "Requirement already satisfied: opencv-python>=4.5.5.64 in /usr/local/lib/python3.10/dist-packages (from deepface) (4.8.0.76)\n",
+            "Requirement already satisfied: tensorflow>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.15.0)\n",
+            "Requirement already satisfied: keras>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.15.0)\n",
+            "Requirement already satisfied: Flask>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.2.5)\n",
+            "Collecting mtcnn>=0.1.0 (from deepface)\n",
+            "  Downloading mtcnn-0.1.1-py3-none-any.whl (2.3 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting retina-face>=0.0.1 (from deepface)\n",
+            "  Downloading retina_face-0.0.17-py3-none-any.whl (25 kB)\n",
+            "Collecting fire>=0.4.0 (from deepface)\n",
+            "  Downloading fire-0.6.0.tar.gz (88 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.4/88.4 kB\u001b[0m \u001b[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "Collecting gunicorn>=20.1.0 (from deepface)\n",
+            "  Downloading gunicorn-22.0.0-py3-none-any.whl (84 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.4/84.4 kB\u001b[0m \u001b[31m3.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from fire>=0.4.0->deepface) (1.16.0)\n",
+            "Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from fire>=0.4.0->deepface) (2.4.0)\n",
+            "Requirement already satisfied: Werkzeug>=2.2.2 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (3.0.3)\n",
+            "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (3.1.4)\n",
+            "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (2.2.0)\n",
+            "Requirement already satisfied: click>=8.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (8.1.7)\n",
+            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from gdown>=3.10.1->deepface) (4.12.3)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from gdown>=3.10.1->deepface) (3.15.4)\n",
+            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from gunicorn>=20.1.0->deepface) (24.1)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2.8.2)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2023.4)\n",
+            "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2024.1)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (3.3.2)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (3.7)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (2.0.7)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (2024.7.4)\n",
+            "Requirement already satisfied: absl-py>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.4.0)\n",
+            "Requirement already satisfied: astunparse>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.6.3)\n",
+            "Requirement already satisfied: flatbuffers>=23.5.26 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (24.3.25)\n",
+            "Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.6.0)\n",
+            "Requirement already satisfied: google-pasta>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.2.0)\n",
+            "Requirement already satisfied: h5py>=2.9.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.9.0)\n",
+            "Requirement already satisfied: libclang>=13.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (18.1.1)\n",
+            "Requirement already satisfied: ml-dtypes~=0.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.2.0)\n",
+            "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.3.0)\n",
+            "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.20.3)\n",
+            "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (67.7.2)\n",
+            "Requirement already satisfied: typing-extensions>=3.6.6 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (4.12.2)\n",
+            "Requirement already satisfied: wrapt<1.15,>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.14.1)\n",
+            "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.37.1)\n",
+            "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.64.1)\n",
+            "Requirement already satisfied: tensorboard<2.16,>=2.15 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (2.15.2)\n",
+            "Requirement already satisfied: tensorflow-estimator<2.16,>=2.15.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (2.15.0)\n",
+            "Requirement already satisfied: wheel<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from astunparse>=1.6.0->tensorflow>=1.9.0->deepface) (0.43.0)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.0->Flask>=1.1.2->deepface) (2.1.5)\n",
+            "Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (2.27.0)\n",
+            "Requirement already satisfied: google-auth-oauthlib<2,>=0.5 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (1.2.1)\n",
+            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.6)\n",
+            "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.7.2)\n",
+            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown>=3.10.1->deepface) (2.5)\n",
+            "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (1.7.1)\n",
+            "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (5.3.3)\n",
+            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.4.0)\n",
+            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (4.9)\n",
+            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (1.3.1)\n",
+            "Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.6.0)\n",
+            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.2.2)\n",
+            "Building wheels for collected packages: fire\n",
+            "  Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for fire: filename=fire-0.6.0-py2.py3-none-any.whl size=117029 sha256=261de37dafc0ba41a167bbcd369b0c8653e13b40919b353f0c24285bcdf0a8e4\n",
+            "  Stored in directory: /root/.cache/pip/wheels/d6/6d/5d/5b73fa0f46d01a793713f8859201361e9e581ced8c75e5c6a3\n",
+            "Successfully built fire\n",
+            "Installing collected packages: gunicorn, fire, mtcnn, retina-face, deepface\n",
+            "Successfully installed deepface-0.0.92 fire-0.6.0 gunicorn-22.0.0 mtcnn-0.1.1 retina-face-0.0.17\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install deepface"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "KxpbRTJDCGjU"
+      },
+      "source": [
+        "## Downloading Data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NI6P1qt_h_hm",
+        "outputId": "d9ca9d2d-61f6-421a-fcba-51d5439c666e"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "--2024-07-16 14:54:42--  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Resolving vis-www.cs.umass.edu (vis-www.cs.umass.edu)... 128.119.244.95\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 180566744 (172M) [application/x-gzip]\n",
+            "Saving to: ‘lfw.tgz’\n",
+            "\n",
+            "lfw.tgz             100%[===================>] 172.20M  1.74MB/s    in 88s     \n",
+            "\n",
+            "2024-07-16 14:56:11 (1.95 MB/s) - ‘lfw.tgz’ saved [180566744/180566744]\n",
+            "\n"
+          ]
+        }
+      ],
+      "source": [
+        "!wget http://vis-www.cs.umass.edu/lfw/lfw.tgz"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "JgJ3e_jmh_X3",
+        "outputId": "6ad93f39-276b-4d15-f41d-eb39ed5416a3"
+      },
+      "outputs": [],
+      "source": [
+        "!tar -xzvf lfw.tgz"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 8,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "1X2EFr3WiOKo",
+        "outputId": "595f7fa6-9a69-424f-b910-e4e8063ae804"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Removed 411 folders\n",
+            "Remaining folders: 12\n"
+          ]
+        }
+      ],
+      "source": [
+        "import os\n",
+        "import shutil\n",
+        "count=0\n",
+        "for folder in os.listdir('lfw'):\n",
+        "    if len(os.listdir(f'lfw/{folder}')) < 50:\n",
+        "        shutil.rmtree(f'lfw/{folder}')\n",
+        "        count+=1\n",
+        "print(f\"Removed {count} folders\")\n",
+        "print(f\"Remaining folders: {len(os.listdir('lfw'))}\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "pz1vtNniCGjf"
+      },
+      "source": [
+        "## Downloading Model"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 384,
+          "referenced_widgets": [
+            "05b31ee914704cf6aa23b016e9605fa6",
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+            "3f149795afdc4f72bfd4819c2dd24e7e",
+            "5acf74fda9cd44399872a32f7e797d53",
+            "b77e47d27983498a9d5cc1b8d7a6f0a6",
+            "b37c1463ede74729998741f9ca74b9a0",
+            "09f275e257dc4f35887c189de0d0eeae",
+            "a83437e262784123ad7ab7356de9f4ad",
+            "b831e7f5cb914676b1579fc31e0466f5",
+            "b58b054a34ac4cfdb06561b956329fdb",
+            "91d1a5c7baca43f09729be8b10c0fac9",
+            "a7c63853647c43c9a98fb2c34229c25b",
+            "f32b27d0a22f442484533f98a7de6f42",
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+            "d2ee1ee53b10436e99cd3cc7c6c23c1e",
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+            "62e3046887594c5a8492daf015dfa1ea",
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+            "8c9ec1f6cb3c4e17bc1df1101b1bc8f7",
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+            "be766277e81847318e883b2b90ef4fd1",
+            "75b02f006ff749d98787f5a4465fdfb4"
+          ]
+        },
+        "id": "BzMfQwalCGji",
+        "outputId": "73e0b9b9-4580-4ee7-dc47-d3e4c052001a"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
+            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
+            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
+            "You will be able to reuse this secret in all of your notebooks.\n",
+            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
+            "  warnings.warn(\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "05b31ee914704cf6aa23b016e9605fa6",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Fetching 6 files:   0%|          | 0/6 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "91d1a5c7baca43f09729be8b10c0fac9",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "variables/variables.index:   0%|          | 0.00/61.2k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "d61f94c1b2e24bfb8bd491a7ad9869f1",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              ".gitattributes:   0%|          | 0.00/1.59k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "5e1636ca1090486cad4cf157c618e986",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "saved_model.pb:   0%|          | 0.00/18.1M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "1e74eb5ac4c144b9996faecafdb8c77d",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "keras_metadata.pb:   0%|          | 0.00/2.52M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "d9999a65dfac41d1b9fc79fdcfd53bde",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "fingerprint.pb:   0%|          | 0.00/56.0 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "1037e6dd39494d96842994d401595ae7",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "variables.data-00000-of-00001:   0%|          | 0.00/282M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            },
+            "text/plain": [
+              "'/content/model'"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "finetuned_model_dir = \"model\"\n",
+        "\n",
+        "from huggingface_hub import snapshot_download\n",
+        "snapshot_download(repo_id='DnD11/FaceNet_Finetuned', repo_type=\"model\", local_dir=finetuned_model_dir)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mlEhvK1rh_IX"
+      },
+      "source": [
+        "# Evaluation"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 12,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 396,
+          "referenced_widgets": [
+            "b68785aeca464305860cafdc3655e145",
+            "c7ca6164c583495f94d50e14282d158a",
+            "2d562486f2f74fa486d6b586eae2a4d6",
+            "5dcd74f46b4a4ecdb476861f4e3e3135",
+            "01661e7fe0ca424a9769a2d26d44f6d3",
+            "1241ed7c396d41b695861a59dfa9d084",
+            "4174bd3bf85a40189640b840e54b67e7",
+            "9611c4fbb68144049f0e7fb69dbc182f",
+            "1166c616bbec4bf7a41273dbdfbd3c07",
+            "199608c95b13456997b7825a63e2befc",
+            "4b57a5366893453faad18d505bea3b2c",
+            "722763cb7d6d4f2ea2498132b5467d75",
+            "ca816622d3af499887e448686db2c529",
+            "1060c944805f48059e483f5fae479cc9",
+            "082f83c1baf244dba00ccf41544a55ca",
+            "683af30254c54861849c960497caeb96",
+            "d4758b6f3eaa4783b623cea9d0b121a3",
+            "b9c7ec701603422d99d0b31f8b5a2e66",
+            "53a61d664c41431faafcff1fcbc4d5d0",
+            "a3b95b241fec40309afdc8e127321dc9",
+            "92be0e62d22947a391b291c36ccfc9d6",
+            "a1afc23544124040bd2fce77b3103850"
+          ]
+        },
+        "id": "v5_9g5wwh0oi",
+        "outputId": "cce3ae28-8eb6-4ff7-82b4-5117fb586285"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "b68785aeca464305860cafdc3655e145",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "  0%|          | 0/12 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "722763cb7d6d4f2ea2498132b5467d75",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "  0%|          | 0/12 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "ename": "AttributeError",
+          "evalue": "'_UserObject' object has no attribute 'predict'",
+          "output_type": "error",
+          "traceback": [
+            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+            "\u001b[0;32m<ipython-input-12-c0c32cf843e7>\u001b[0m in \u001b[0;36m<cell line: 67>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     65\u001b[0m \u001b[0;31m# Load the fine-tuned model\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[0mfinetuned_model\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msaved_model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexport_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfinetuned_model_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m \u001b[0membeddings_finetuned\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mgenerate_embeddings\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfinetuned_model\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataset_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;31m# Calculate intra-cluster distances for both models\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m<ipython-input-12-c0c32cf843e7>\u001b[0m in \u001b[0;36mgenerate_embeddings\u001b[0;34m(model, dataset_path, deepface)\u001b[0m\n\u001b[1;32m     32\u001b[0m                 \u001b[0membedding\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDeepFace\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrepresent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg_path\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mimg_path\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"Facenet512\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menforce_detection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'embedding'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 34\u001b[0;31m                 \u001b[0membedding\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg_array\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     35\u001b[0m             \u001b[0membeddings\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mclass_name\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0membedding\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m         \u001b[0membeddings\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mclass_name\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0membeddings\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mclass_name\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;31mAttributeError\u001b[0m: '_UserObject' object has no attribute 'predict'"
+          ]
+        }
+      ],
+      "source": [
+        "import os\n",
+        "import numpy as np\n",
+        "from tqdm import tqdm_notebook\n",
+        "from keras.models import load_model\n",
+        "from keras.preprocessing import image\n",
+        "from sklearn.metrics.pairwise import euclidean_distances\n",
+        "from deepface import DeepFace\n",
+        "import tensorflow as tf\n",
+        "\n",
+        "# Function to load and preprocess images\n",
+        "def load_and_preprocess_image(img_path, target_size=(160, 160)):\n",
+        "    img = image.load_img(img_path, target_size=target_size)\n",
+        "    img_array = image.img_to_array(img)\n",
+        "    img_array = np.expand_dims(img_array, axis=0)\n",
+        "    img_array /= 255.0\n",
+        "    return img_array\n",
+        "\n",
+        "# Function to generate embeddings\n",
+        "def generate_embeddings(model, dataset_path, deepface = False):\n",
+        "    embeddings = {}\n",
+        "\n",
+        "    for class_name in tqdm_notebook(os.listdir(dataset_path)):\n",
+        "        class_path = os.path.join(dataset_path, class_name)\n",
+        "        if not os.path.isdir(class_path):\n",
+        "            continue\n",
+        "        embeddings[class_name] = []\n",
+        "\n",
+        "        for img_name in os.listdir(class_path):\n",
+        "            img_path = os.path.join(class_path, img_name)\n",
+        "            img_array = load_and_preprocess_image(img_path)\n",
+        "            if deepface:\n",
+        "                embedding = DeepFace.represent(img_path=img_path, model_name = \"Facenet512\", enforce_detection=False)[0]['embedding']\n",
+        "            else:\n",
+        "                embedding = model.predict(img_array)\n",
+        "            embeddings[class_name].append(embedding)\n",
+        "        embeddings[class_name] = np.array(embeddings[class_name])\n",
+        "\n",
+        "\n",
+        "\n",
+        "    return embeddings\n",
+        "\n",
+        "# Function to calculate intra-cluster distances\n",
+        "def calculate_intra_cluster_metrics(embeddings):\n",
+        "    metrics = {}\n",
+        "\n",
+        "    for label, cluster_embeddings in embeddings.items():\n",
+        "        \n",
+        "        avg_embedding = np.mean(cluster_embeddings, axis=0)\n",
+        "        distances = euclidean_distances(cluster_embeddings, [avg_embedding])\n",
+        "        max_distance = np.max(distances)\n",
+        "        min_distance = np.min(distances)\n",
+        "        variance = np.var(distances)\n",
+        "        standard_deviation = np.std(distances)\n",
+        "        percentile_25 = np.percentile(distances, 25)\n",
+        "        percentile_50 = np.percentile(distances, 50)\n",
+        "        percentile_75 = np.percentile(distances, 75)\n",
+        "        \n",
+        "        metrics[label] = {\"center\": avg_embedding, \"max_radius\": max_distance, \"min_radius\":min_distance, \"num_samples\": len(cluster_embeddings), \"variance\": variance, \"standard_deviation\": standard_deviation, \"percentile_25\": percentile_25, \"percentile_50\": percentile_50, \"percentile_75\": percentile_75}\n",
+        "\n",
+        "    return metrics"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Path to the dataset\n",
+        "dataset_path = 'lfw'\n",
+        "model=1\n",
+        "# Generate embeddings for the original model\n",
+        "embeddings_original = generate_embeddings(model, dataset_path, True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Load the fine-tuned model\n",
+        "finetuned_model = tf.keras.models.load_model('/content/model/embedding_trial3.h5')\n",
+        "embeddings_finetuned = generate_embeddings(finetuned_model, dataset_path)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Calculate Metrics"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Calculate intra-cluster distances for both models\n",
+        "metrics_original = calculate_intra_cluster_metrics(embeddings_original)\n",
+        "metrics_finetuned = calculate_intra_cluster_metrics(embeddings_finetuned)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "def plot_histogram(metrics, key, title, xlabel):\n",
+        "    values = [metrics[label][key] for label in metrics]\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_histogram(metrics_original, 'max_radius', 'Histogram of Max Radius (Original Model)', 'Max Radius')\n",
+        "plot_histogram(metrics_finetuned, 'max_radius', 'Histogram of Max Radius (Fine-tuned Model)', 'Max Radius')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "def plot_boxplot(metrics, key, title, ylabel):\n",
+        "    values = [metrics[label][key] for label in metrics]\n",
+        "    plt.figure()\n",
+        "    plt.boxplot(values)\n",
+        "    plt.title(title)\n",
+        "    plt.ylabel(ylabel)\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_boxplot(metrics_original, 'percentile_50', 'Boxplot of Median Distances (Original Model)', 'Median Distance')\n",
+        "plot_boxplot(metrics_finetuned, 'percentile_50', 'Boxplot of Median Distances (Fine-tuned Model)', 'Median Distance')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "def compare_metrics(metrics_original, metrics_finetuned, key):\n",
+        "    changes = {}\n",
+        "    for label in metrics_original:\n",
+        "        if label in metrics_finetuned:\n",
+        "            change = metrics_finetuned[label][key] - metrics_original[label][key]\n",
+        "            changes[label] = change\n",
+        "    return changes\n",
+        "\n",
+        "max_radius_change = compare_metrics(metrics_original, metrics_finetuned, 'max_radius')\n",
+        "plot_histogram(max_radius_change, 'max_radius', 'Histogram of Max Radius Change', 'Max Radius Change')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "def calculate_inter_cluster_metrics(embeddings):\n",
+        "    centers = {label: metrics['center'] for label, metrics in embeddings.items()}\n",
+        "    labels = list(centers.keys())\n",
+        "    inter_cluster_distances = euclidean_distances(list(centers.values()))\n",
+        "    \n",
+        "    metrics = {}\n",
+        "    for i, label1 in enumerate(labels):\n",
+        "        for j, label2 in enumerate(labels):\n",
+        "            if i >= j:\n",
+        "                continue\n",
+        "            distance = inter_cluster_distances[i, j]\n",
+        "            pair = tuple(sorted((label1, label2)))\n",
+        "            metrics[pair] = distance\n",
+        "\n",
+        "    return metrics\n",
+        "\n",
+        "inter_cluster_metrics_original = calculate_inter_cluster_metrics(metrics_original)\n",
+        "inter_cluster_metrics_finetuned = calculate_inter_cluster_metrics(metrics_finetuned)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "def compare_inter_cluster_metrics(metrics_original, metrics_finetuned):\n",
+        "    changes = {}\n",
+        "    for pair in metrics_original:\n",
+        "        if pair in metrics_finetuned:\n",
+        "            change = metrics_finetuned[pair] - metrics_original[pair]\n",
+        "            changes[pair] = change\n",
+        "    return changes\n",
+        "\n",
+        "inter_cluster_distance_change = compare_inter_cluster_metrics(inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n",
+        "\n",
+        "def plot_inter_cluster_changes(inter_cluster_distance_change, title, xlabel):\n",
+        "    values = list(inter_cluster_distance_change.values())\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_inter_cluster_changes(inter_cluster_distance_change, 'Histogram of Inter-Cluster Distance Changes', 'Inter-Cluster Distance Change')\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Impact on faces"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "def classify_impact(intra_metrics_original, intra_metrics_finetuned, inter_metrics_original, inter_metrics_finetuned):\n",
+        "    impact = {\n",
+        "        'positively_impacted': [],\n",
+        "        'negatively_impacted': [],\n",
+        "        'averagely_impacted': []\n",
+        "    }\n",
+        "\n",
+        "    # Define thresholds for considering a change as significant\n",
+        "    threshold = 0.01  # You can adjust this value based on your needs\n",
+        "\n",
+        "    # Classify intra-cluster metric changes\n",
+        "    for label in intra_metrics_original:\n",
+        "        if label in intra_metrics_finetuned:\n",
+        "            max_radius_change = intra_metrics_finetuned[label]['max_radius'] - intra_metrics_original[label]['max_radius']\n",
+        "            if max_radius_change < -threshold:\n",
+        "                impact['positively_impacted'].append((label, 'max_radius'))\n",
+        "            elif max_radius_change > threshold:\n",
+        "                impact['negatively_impacted'].append((label, 'max_radius'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((label, 'max_radius'))\n",
+        "            \n",
+        "            # Add other metrics here if needed\n",
+        "            # Example: variance, standard_deviation, etc.\n",
+        "            variance_change = intra_metrics_finetuned[label]['variance'] - intra_metrics_original[label]['variance']\n",
+        "            if variance_change < -threshold:\n",
+        "                impact['positively_impacted'].append((label, 'variance'))\n",
+        "            elif variance_change > threshold:\n",
+        "                impact['negatively_impacted'].append((label, 'variance'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((label, 'variance'))\n",
+        "\n",
+        "    # Classify inter-cluster metric changes\n",
+        "    for pair in inter_metrics_original:\n",
+        "        if pair in inter_metrics_finetuned:\n",
+        "            distance_change = inter_metrics_finetuned[pair] - inter_metrics_original[pair]\n",
+        "            if distance_change < -threshold:\n",
+        "                impact['positively_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "            elif distance_change > threshold:\n",
+        "                impact['negatively_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "\n",
+        "    return impact\n",
+        "\n",
+        "# Assuming metrics_original and metrics_finetuned are dictionaries containing the calculated metrics\n",
+        "impact = classify_impact(metrics_original, metrics_finetuned, inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n",
+        "\n",
+        "# Print the impact classification\n",
+        "print(f\"Positively Impacted Faces: {len(impact['positively_impacted'])}\")\n",
+        "print(f\"Negatively Impacted Faces: {len(impact['negatively_impacted'])}\")\n",
+        "print(f\"Averagely Impacted Faces: {len(impact['averagely_impacted'])}\")\n",
+        "\n",
+        "# Optional: Print detailed impact for each face\n",
+        "for category, changes in impact.items():\n",
+        "    print(f\"\\n{category.capitalize()} Faces:\")\n",
+        "    for change in changes:\n",
+        "        print(change)\n"
+      ]
+    }
+  ],
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+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
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+            "visibility": null,
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+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_62e3046887594c5a8492daf015dfa1ea",
+            "max": 61163,
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+            "orientation": "horizontal",
+            "style": "IPY_MODEL_1941abf3e1414fb0b7651cadee353a7c",
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+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_3d41dd07c7b142608e44c4dadf87932c",
+            "placeholder": "​",
+            "style": "IPY_MODEL_8c9ec1f6cb3c4e17bc1df1101b1bc8f7",
+            "value": "variables.data-00000-of-00001: 100%"
+          }
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+          "model_name": "ProgressStyleModel",
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+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        }
+      }
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
diff --git a/Model-Training/Evaluate_model_II.ipynb b/Model-Training/Evaluate_model_II.ipynb
new file mode 100644
index 0000000..162b2f5
--- /dev/null
+++ b/Model-Training/Evaluate_model_II.ipynb
@@ -0,0 +1,14147 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Devasy23/FaceRec/blob/feat%2FModel-evaluation/Model-Training/Evaluate_model_II.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7dpZF1CUCJjJ"
+      },
+      "source": [
+        "# Pre-setup\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Ca5SxWfjCGjM",
+        "outputId": "0a8afad8-5fc1-4abf-870e-87fbf648f7ce"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting deepface\n",
+            "  Downloading deepface-0.0.92-py3-none-any.whl (105 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.5/105.5 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: requests>=2.27.1 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.31.0)\n",
+            "Requirement already satisfied: numpy>=1.14.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (1.25.2)\n",
+            "Requirement already satisfied: pandas>=0.23.4 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.0.3)\n",
+            "Requirement already satisfied: gdown>=3.10.1 in /usr/local/lib/python3.10/dist-packages (from deepface) (5.1.0)\n",
+            "Requirement already satisfied: tqdm>=4.30.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (4.66.4)\n",
+            "Requirement already satisfied: Pillow>=5.2.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (9.4.0)\n",
+            "Requirement already satisfied: opencv-python>=4.5.5.64 in /usr/local/lib/python3.10/dist-packages (from deepface) (4.8.0.76)\n",
+            "Requirement already satisfied: tensorflow>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.15.0)\n",
+            "Requirement already satisfied: keras>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.15.0)\n",
+            "Requirement already satisfied: Flask>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.2.5)\n",
+            "Collecting mtcnn>=0.1.0 (from deepface)\n",
+            "  Downloading mtcnn-0.1.1-py3-none-any.whl (2.3 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting retina-face>=0.0.1 (from deepface)\n",
+            "  Downloading retina_face-0.0.17-py3-none-any.whl (25 kB)\n",
+            "Collecting fire>=0.4.0 (from deepface)\n",
+            "  Downloading fire-0.6.0.tar.gz (88 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.4/88.4 kB\u001b[0m \u001b[31m13.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "Collecting gunicorn>=20.1.0 (from deepface)\n",
+            "  Downloading gunicorn-22.0.0-py3-none-any.whl (84 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.4/84.4 kB\u001b[0m \u001b[31m13.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from fire>=0.4.0->deepface) (1.16.0)\n",
+            "Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from fire>=0.4.0->deepface) (2.4.0)\n",
+            "Requirement already satisfied: Werkzeug>=2.2.2 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (3.0.3)\n",
+            "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (3.1.4)\n",
+            "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (2.2.0)\n",
+            "Requirement already satisfied: click>=8.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (8.1.7)\n",
+            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from gdown>=3.10.1->deepface) (4.12.3)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from gdown>=3.10.1->deepface) (3.15.4)\n",
+            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from gunicorn>=20.1.0->deepface) (24.1)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2.8.2)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2023.4)\n",
+            "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2024.1)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (3.3.2)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (3.7)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (2.0.7)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (2024.7.4)\n",
+            "Requirement already satisfied: absl-py>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.4.0)\n",
+            "Requirement already satisfied: astunparse>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.6.3)\n",
+            "Requirement already satisfied: flatbuffers>=23.5.26 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (24.3.25)\n",
+            "Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.6.0)\n",
+            "Requirement already satisfied: google-pasta>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.2.0)\n",
+            "Requirement already satisfied: h5py>=2.9.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.9.0)\n",
+            "Requirement already satisfied: libclang>=13.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (18.1.1)\n",
+            "Requirement already satisfied: ml-dtypes~=0.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.2.0)\n",
+            "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.3.0)\n",
+            "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.20.3)\n",
+            "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (67.7.2)\n",
+            "Requirement already satisfied: typing-extensions>=3.6.6 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (4.12.2)\n",
+            "Requirement already satisfied: wrapt<1.15,>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.14.1)\n",
+            "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.37.1)\n",
+            "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.64.1)\n",
+            "Requirement already satisfied: tensorboard<2.16,>=2.15 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (2.15.2)\n",
+            "Requirement already satisfied: tensorflow-estimator<2.16,>=2.15.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (2.15.0)\n",
+            "Requirement already satisfied: wheel<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from astunparse>=1.6.0->tensorflow>=1.9.0->deepface) (0.43.0)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.0->Flask>=1.1.2->deepface) (2.1.5)\n",
+            "Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (2.27.0)\n",
+            "Requirement already satisfied: google-auth-oauthlib<2,>=0.5 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (1.2.1)\n",
+            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.6)\n",
+            "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.7.2)\n",
+            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown>=3.10.1->deepface) (2.5)\n",
+            "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (1.7.1)\n",
+            "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (5.4.0)\n",
+            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.4.0)\n",
+            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (4.9)\n",
+            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (1.3.1)\n",
+            "Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.6.0)\n",
+            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.2.2)\n",
+            "Building wheels for collected packages: fire\n",
+            "  Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for fire: filename=fire-0.6.0-py2.py3-none-any.whl size=117029 sha256=67bc03a9e6bdcc6f65bb0b6581d1d41d76ee9413e12d009a71a4696a6b32e126\n",
+            "  Stored in directory: /root/.cache/pip/wheels/d6/6d/5d/5b73fa0f46d01a793713f8859201361e9e581ced8c75e5c6a3\n",
+            "Successfully built fire\n",
+            "Installing collected packages: gunicorn, fire, mtcnn, retina-face, deepface\n",
+            "Successfully installed deepface-0.0.92 fire-0.6.0 gunicorn-22.0.0 mtcnn-0.1.1 retina-face-0.0.17\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install deepface"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "KxpbRTJDCGjU"
+      },
+      "source": [
+        "## Downloading Data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NI6P1qt_h_hm",
+        "outputId": "dec9f11e-da1e-4019-b085-d7fb0ad763ad"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "--2024-07-20 05:17:12--  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Resolving vis-www.cs.umass.edu (vis-www.cs.umass.edu)... 128.119.244.95\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:19:24--  (try: 2)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:21:36--  (try: 3)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:23:48--  (try: 4)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:26:04--  (try: 5)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... ^C\n"
+          ]
+        }
+      ],
+      "source": [
+        "!wget http://vis-www.cs.umass.edu/lfw/lfw.tgz"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 13,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "JgJ3e_jmh_X3",
+        "outputId": "d73c3143-1b81-409b-cfe8-57118ccee89a"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
+            "lfw/Luis_Sanchez/\n",
+            "lfw/Luis_Sanchez/Luis_Sanchez_0001.jpg\n",
+            "lfw/Juliette_Binoche/\n",
+            "lfw/Juliette_Binoche/Juliette_Binoche_0001.jpg\n",
+            "lfw/Joel_Todd/\n",
+            "lfw/Joel_Todd/Joel_Todd_0001.jpg\n",
+            "lfw/Allan_Wagner/\n",
+            "lfw/Allan_Wagner/Allan_Wagner_0001.jpg\n",
+            "lfw/Alejandro_Fernandez/\n",
+            "lfw/Alejandro_Fernandez/Alejandro_Fernandez_0001.jpg\n",
+            "lfw/Guillaume_Depardieu/\n",
+            "lfw/Guillaume_Depardieu/Guillaume_Depardieu_0001.jpg\n",
+            "lfw/Delphine_Chuillot/\n",
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+            "lfw/Chuanyun_Li/Chuanyun_Li_0001.jpg\n",
+            "lfw/Seth_Gorney/\n",
+            "lfw/Seth_Gorney/Seth_Gorney_0001.jpg\n",
+            "lfw/Paul_Reiser/\n",
+            "lfw/Paul_Reiser/Paul_Reiser_0001.jpg\n",
+            "lfw/Ken_Kutaragi/\n",
+            "lfw/Ken_Kutaragi/Ken_Kutaragi_0001.jpg\n",
+            "lfw/Imam_Samudra/\n",
+            "lfw/Imam_Samudra/Imam_Samudra_0001.jpg\n",
+            "lfw/Stephanie_Cohen_Aloro/\n",
+            "lfw/Stephanie_Cohen_Aloro/Stephanie_Cohen_Aloro_0001.jpg\n",
+            "lfw/Hideki_Sato/\n",
+            "lfw/Hideki_Sato/Hideki_Sato_0001.jpg\n",
+            "lfw/JT_Snow/\n",
+            "lfw/JT_Snow/JT_Snow_0001.jpg\n",
+            "lfw/Ray_Sherman/\n",
+            "lfw/Ray_Sherman/Ray_Sherman_0001.jpg\n",
+            "lfw/Arye_Mekel/\n",
+            "lfw/Arye_Mekel/Arye_Mekel_0001.jpg\n",
+            "lfw/Arye_Mekel/Arye_Mekel_0002.jpg\n",
+            "lfw/Florecita_Cobian/\n",
+            "lfw/Florecita_Cobian/Florecita_Cobian_0001.jpg\n",
+            "lfw/Lesley_Flood/\n",
+            "lfw/Lesley_Flood/Lesley_Flood_0001.jpg\n",
+            "lfw/Hector_Babenco/\n",
+            "lfw/Hector_Babenco/Hector_Babenco_0001.jpg\n",
+            "lfw/Hector_Babenco/Hector_Babenco_0002.jpg\n",
+            "lfw/Hector_Babenco/Hector_Babenco_0003.jpg\n",
+            "lfw/Maria_Luisa_Mendonca/\n",
+            "lfw/Maria_Luisa_Mendonca/Maria_Luisa_Mendonca_0001.jpg\n",
+            "lfw/Maria_Luisa_Mendonca/Maria_Luisa_Mendonca_0002.jpg\n",
+            "lfw/Caio_Blat/\n",
+            "lfw/Caio_Blat/Caio_Blat_0001.jpg\n",
+            "lfw/Jodie_Kidd/\n",
+            "lfw/Jodie_Kidd/Jodie_Kidd_0001.jpg\n",
+            "lfw/Andy_Rooney/\n",
+            "lfw/Andy_Rooney/Andy_Rooney_0001.jpg\n",
+            "lfw/Pascal_Rheaume/\n",
+            "lfw/Pascal_Rheaume/Pascal_Rheaume_0001.jpg\n",
+            "lfw/Amber_Frey/\n",
+            "lfw/Amber_Frey/Amber_Frey_0001.jpg\n",
+            "lfw/Stellan_Skarsgard/\n",
+            "lfw/Stellan_Skarsgard/Stellan_Skarsgard_0001.jpg\n",
+            "lfw/Stellan_Skarsgard/Stellan_Skarsgard_0002.jpg\n",
+            "lfw/Faye_Alibocus/\n",
+            "lfw/Faye_Alibocus/Faye_Alibocus_0001.jpg\n",
+            "lfw/Joshua_Davey/\n",
+            "lfw/Joshua_Davey/Joshua_Davey_0001.jpg\n",
+            "lfw/Barbara_Bach/\n",
+            "lfw/Barbara_Bach/Barbara_Bach_0001.jpg\n",
+            "lfw/Ringo_Starr/\n",
+            "lfw/Ringo_Starr/Ringo_Starr_0001.jpg\n",
+            "lfw/Bernice_Wong/\n",
+            "lfw/Bernice_Wong/Bernice_Wong_0001.jpg\n",
+            "lfw/Roger_Lyons/\n",
+            "lfw/Roger_Lyons/Roger_Lyons_0001.jpg\n",
+            "lfw/Na_Na_Keum/\n",
+            "lfw/Na_Na_Keum/Na_Na_Keum_0001.jpg\n",
+            "lfw/Alexandra_Vodjanikova/\n",
+            "lfw/Alexandra_Vodjanikova/Alexandra_Vodjanikova_0001.jpg\n",
+            "lfw/Alexandra_Vodjanikova/Alexandra_Vodjanikova_0002.jpg\n",
+            "lfw/Yannos_Papantoniou/\n",
+            "lfw/Yannos_Papantoniou/Yannos_Papantoniou_0001.jpg\n",
+            "lfw/Sanja_Papic/\n",
+            "lfw/Sanja_Papic/Sanja_Papic_0001.jpg\n",
+            "lfw/Paul_Walker/\n",
+            "lfw/Paul_Walker/Paul_Walker_0001.jpg\n",
+            "lfw/Jason_Sehorn/\n",
+            "lfw/Jason_Sehorn/Jason_Sehorn_0001.jpg\n",
+            "lfw/Darko_Milicic/\n",
+            "lfw/Darko_Milicic/Darko_Milicic_0001.jpg\n",
+            "lfw/Katerina_Smrzova/\n",
+            "lfw/Katerina_Smrzova/Katerina_Smrzova_0001.jpg\n",
+            "lfw/David_Carradine/\n",
+            "lfw/David_Carradine/David_Carradine_0001.jpg\n",
+            "lfw/Coco_dEste/\n",
+            "lfw/Coco_dEste/Coco_dEste_0001.jpg\n",
+            "lfw/Rene_Antonio_Leon_Rodriguez/\n",
+            "lfw/Rene_Antonio_Leon_Rodriguez/Rene_Antonio_Leon_Rodriguez_0001.jpg\n",
+            "lfw/Carlos_Quintanilla_Schmidt/\n",
+            "lfw/Carlos_Quintanilla_Schmidt/Carlos_Quintanilla_Schmidt_0001.jpg\n",
+            "lfw/Carlos_Quintanilla_Schmidt/Carlos_Quintanilla_Schmidt_0002.jpg\n",
+            "lfw/Bill_Parsons/\n",
+            "lfw/Bill_Parsons/Bill_Parsons_0001.jpg\n",
+            "lfw/Danny_Ainge/\n",
+            "lfw/Danny_Ainge/Danny_Ainge_0001.jpg\n",
+            "lfw/Brad_Alexander_Smith/\n",
+            "lfw/Brad_Alexander_Smith/Brad_Alexander_Smith_0001.jpg\n",
+            "lfw/Alex_Zanardi/\n",
+            "lfw/Alex_Zanardi/Alex_Zanardi_0001.jpg\n",
+            "lfw/Steve_Avery/\n",
+            "lfw/Steve_Avery/Steve_Avery_0001.jpg\n",
+            "lfw/Matt_Anderson/\n",
+            "lfw/Matt_Anderson/Matt_Anderson_0001.jpg\n",
+            "lfw/Richard_Jefferson/\n",
+            "lfw/Richard_Jefferson/Richard_Jefferson_0001.jpg\n",
+            "lfw/Leon_Barmore/\n",
+            "lfw/Leon_Barmore/Leon_Barmore_0001.jpg\n",
+            "lfw/Jose_Luis_Santiago_Vasconcelos/\n",
+            "lfw/Jose_Luis_Santiago_Vasconcelos/Jose_Luis_Santiago_Vasconcelos_0001.jpg\n",
+            "lfw/Mary_Matalin/\n",
+            "lfw/Mary_Matalin/Mary_Matalin_0001.jpg\n",
+            "lfw/David_Ho/\n",
+            "lfw/David_Ho/David_Ho_0001.jpg\n",
+            "lfw/Thomas_Ulrich/\n",
+            "lfw/Thomas_Ulrich/Thomas_Ulrich_0001.jpg\n",
+            "lfw/Graciano_Rocchigiani/\n",
+            "lfw/Graciano_Rocchigiani/Graciano_Rocchigiani_0001.jpg\n",
+            "lfw/John_Moe/\n",
+            "lfw/John_Moe/John_Moe_0001.jpg\n",
+            "lfw/Tora_Takagi/\n",
+            "lfw/Tora_Takagi/Tora_Takagi_0001.jpg\n",
+            "lfw/Chris_Neil/\n",
+            "lfw/Chris_Neil/Chris_Neil_0001.jpg\n",
+            "lfw/Barbara_Bodine/\n",
+            "lfw/Barbara_Bodine/Barbara_Bodine_0001.jpg\n",
+            "lfw/Rolf_Eckrodt/\n",
+            "lfw/Rolf_Eckrodt/Rolf_Eckrodt_0001.jpg\n",
+            "lfw/Rolf_Eckrodt/Rolf_Eckrodt_0002.jpg\n",
+            "lfw/Carol_Niedermayer/\n",
+            "lfw/Carol_Niedermayer/Carol_Niedermayer_0001.jpg\n",
+            "lfw/Martha_Sahagun_de_Fox/\n",
+            "lfw/Martha_Sahagun_de_Fox/Martha_Sahagun_de_Fox_0001.jpg\n",
+            "lfw/Armando_Calderon_Sol/\n",
+            "lfw/Armando_Calderon_Sol/Armando_Calderon_Sol_0001.jpg\n",
+            "lfw/Terunobu_Maeda/\n",
+            "lfw/Terunobu_Maeda/Terunobu_Maeda_0001.jpg\n",
+            "lfw/Alex_Corretja/\n",
+            "lfw/Alex_Corretja/Alex_Corretja_0001.jpg\n",
+            "lfw/Elena_Tihomirova/\n",
+            "lfw/Elena_Tihomirova/Elena_Tihomirova_0001.jpg\n",
+            "lfw/Emmy_Rossum/\n",
+            "lfw/Emmy_Rossum/Emmy_Rossum_0001.jpg\n",
+            "lfw/Andrea_Yates/\n",
+            "lfw/Andrea_Yates/Andrea_Yates_0001.jpg\n",
+            "lfw/Laura_Romero/\n",
+            "lfw/Laura_Romero/Laura_Romero_0001.jpg\n",
+            "lfw/Szu_Yu_Chen/\n",
+            "lfw/Szu_Yu_Chen/Szu_Yu_Chen_0001.jpg\n",
+            "lfw/Rudy_Tomjanovich/\n",
+            "lfw/Rudy_Tomjanovich/Rudy_Tomjanovich_0001.jpg\n",
+            "lfw/Norman_Mineta/\n",
+            "lfw/Norman_Mineta/Norman_Mineta_0001.jpg\n",
+            "lfw/Michael_Killeen/\n",
+            "lfw/Michael_Killeen/Michael_Killeen_0001.jpg\n",
+            "lfw/Kristen_Rivera/\n",
+            "lfw/Kristen_Rivera/Kristen_Rivera_0001.jpg\n",
+            "lfw/Alicia_Hollowell/\n",
+            "lfw/Alicia_Hollowell/Alicia_Hollowell_0001.jpg\n",
+            "lfw/Peter_Hollingworth/\n",
+            "lfw/Peter_Hollingworth/Peter_Hollingworth_0001.jpg\n",
+            "lfw/Ashlea_Talbot/\n",
+            "lfw/Ashlea_Talbot/Ashlea_Talbot_0001.jpg\n",
+            "lfw/Christine_Rau/\n",
+            "lfw/Christine_Rau/Christine_Rau_0001.jpg\n",
+            "lfw/Wei_Wu/\n",
+            "lfw/Wei_Wu/Wei_Wu_0001.jpg\n",
+            "lfw/Eugene_Melnyk/\n",
+            "lfw/Eugene_Melnyk/Eugene_Melnyk_0001.jpg\n",
+            "lfw/Jim_Paxson/\n",
+            "lfw/Jim_Paxson/Jim_Paxson_0001.jpg\n",
+            "lfw/Annie_Chaplin/\n",
+            "lfw/Annie_Chaplin/Annie_Chaplin_0001.jpg\n",
+            "lfw/Jeanne_Moreau/\n",
+            "lfw/Jeanne_Moreau/Jeanne_Moreau_0001.jpg\n",
+            "lfw/Jeanne_Moreau/Jeanne_Moreau_0002.jpg\n",
+            "lfw/Ornella_Muti/\n",
+            "lfw/Ornella_Muti/Ornella_Muti_0001.jpg\n",
+            "lfw/Yuri_Luzhkov/\n",
+            "lfw/Yuri_Luzhkov/Yuri_Luzhkov_0001.jpg\n",
+            "lfw/Mark_Butcher/\n",
+            "lfw/Mark_Butcher/Mark_Butcher_0001.jpg\n",
+            "lfw/Michelle_Lecky/\n",
+            "lfw/Michelle_Lecky/Michelle_Lecky_0001.jpg\n",
+            "lfw/Tina_Pisnik/\n",
+            "lfw/Tina_Pisnik/Tina_Pisnik_0001.jpg\n",
+            "lfw/Jeffrey_Katzenberg/\n",
+            "lfw/Jeffrey_Katzenberg/Jeffrey_Katzenberg_0001.jpg\n",
+            "lfw/Andrew_Bunner/\n",
+            "lfw/Andrew_Bunner/Andrew_Bunner_0001.jpg\n",
+            "lfw/Andrew_Bunner/Andrew_Bunner_0002.jpg\n",
+            "lfw/David_Welch/\n",
+            "lfw/David_Welch/David_Welch_0001.jpg\n",
+            "lfw/Jane_Rooney/\n",
+            "lfw/Jane_Rooney/Jane_Rooney_0001.jpg\n",
+            "lfw/Mickey_Rooney/\n",
+            "lfw/Mickey_Rooney/Mickey_Rooney_0001.jpg\n",
+            "lfw/Peter_Hunt/\n",
+            "lfw/Peter_Hunt/Peter_Hunt_0001.jpg\n",
+            "lfw/Francis_Crick/\n",
+            "lfw/Francis_Crick/Francis_Crick_0001.jpg\n",
+            "lfw/Kay_Behrensmeyer/\n",
+            "lfw/Kay_Behrensmeyer/Kay_Behrensmeyer_0001.jpg\n",
+            "lfw/Gala_Leon_Garcia/\n",
+            "lfw/Gala_Leon_Garcia/Gala_Leon_Garcia_0001.jpg\n",
+            "lfw/Wanda_de_la_Jesus/\n",
+            "lfw/Wanda_de_la_Jesus/Wanda_de_la_Jesus_0001.jpg\n",
+            "lfw/Jimmy_Smits/\n",
+            "lfw/Jimmy_Smits/Jimmy_Smits_0001.jpg\n",
+            "lfw/Jane_Leeves/\n",
+            "lfw/Jane_Leeves/Jane_Leeves_0001.jpg\n",
+            "lfw/Kelsey_Grammer/\n",
+            "lfw/Kelsey_Grammer/Kelsey_Grammer_0001.jpg\n",
+            "lfw/Donna_Ralston/\n",
+            "lfw/Donna_Ralston/Donna_Ralston_0001.jpg\n",
+            "lfw/Larry_Ralston/\n",
+            "lfw/Larry_Ralston/Larry_Ralston_0001.jpg\n",
+            "lfw/Barry_Diller/\n",
+            "lfw/Barry_Diller/Barry_Diller_0001.jpg\n",
+            "lfw/Dominique_Perben/\n",
+            "lfw/Dominique_Perben/Dominique_Perben_0001.jpg\n",
+            "lfw/Peri_Gilpin/\n",
+            "lfw/Peri_Gilpin/Peri_Gilpin_0001.jpg\n",
+            "lfw/David_Bowie/\n",
+            "lfw/David_Bowie/David_Bowie_0001.jpg\n",
+            "lfw/Elizabeth_Regan/\n",
+            "lfw/Elizabeth_Regan/Elizabeth_Regan_0001.jpg\n",
+            "lfw/Whoopi_Goldberg/\n",
+            "lfw/Whoopi_Goldberg/Whoopi_Goldberg_0001.jpg\n",
+            "lfw/Dany_Heatley/\n",
+            "lfw/Dany_Heatley/Dany_Heatley_0001.jpg\n",
+            "lfw/Chris_Kolanas/\n",
+            "lfw/Chris_Kolanas/Chris_Kolanas_0001.jpg\n",
+            "lfw/Chuck_Hagel/\n",
+            "lfw/Chuck_Hagel/Chuck_Hagel_0001.jpg\n",
+            "lfw/Jamir_Miller/\n",
+            "lfw/Jamir_Miller/Jamir_Miller_0001.jpg\n",
+            "lfw/Tatiana_Kennedy_Schlossberg/\n",
+            "lfw/Tatiana_Kennedy_Schlossberg/Tatiana_Kennedy_Schlossberg_0001.jpg\n",
+            "lfw/James_Smith/\n",
+            "lfw/James_Smith/James_Smith_0001.jpg\n",
+            "lfw/James_Smith/James_Smith_0002.jpg\n",
+            "lfw/Doug_Christie/\n",
+            "lfw/Doug_Christie/Doug_Christie_0001.jpg\n",
+            "lfw/Desiree_McKenzie/\n",
+            "lfw/Desiree_McKenzie/Desiree_McKenzie_0001.jpg\n",
+            "lfw/Dan_Prinster/\n",
+            "lfw/Dan_Prinster/Dan_Prinster_0001.jpg\n",
+            "lfw/Henning_Scherf/\n",
+            "lfw/Henning_Scherf/Henning_Scherf_0001.jpg\n",
+            "lfw/Kang_Gum-sil/\n",
+            "lfw/Kang_Gum-sil/Kang_Gum-sil_0001.jpg\n",
+            "lfw/Denys_Arcand/\n",
+            "lfw/Denys_Arcand/Denys_Arcand_0001.jpg\n",
+            "lfw/Dwayne_Williams/\n",
+            "lfw/Dwayne_Williams/Dwayne_Williams_0001.jpg\n",
+            "lfw/Se_Hyuk_Joo/\n",
+            "lfw/Se_Hyuk_Joo/Se_Hyuk_Joo_0001.jpg\n",
+            "lfw/Daniel_Scioli/\n",
+            "lfw/Daniel_Scioli/Daniel_Scioli_0001.jpg\n",
+            "lfw/Marie-Josee_Croze/\n",
+            "lfw/Marie-Josee_Croze/Marie-Josee_Croze_0001.jpg\n",
+            "lfw/Rachel_Kempson/\n",
+            "lfw/Rachel_Kempson/Rachel_Kempson_0001.jpg\n",
+            "lfw/Tony_Elias/\n",
+            "lfw/Tony_Elias/Tony_Elias_0001.jpg\n",
+            "lfw/Wang_Nan/\n",
+            "lfw/Wang_Nan/Wang_Nan_0001.jpg\n",
+            "lfw/Gus_Van_Sant/\n",
+            "lfw/Gus_Van_Sant/Gus_Van_Sant_0001.jpg\n",
+            "lfw/Gus_Van_Sant/Gus_Van_Sant_0002.jpg\n",
+            "lfw/Gus_Van_Sant/Gus_Van_Sant_0003.jpg\n",
+            "lfw/Werner_Schlager/\n",
+            "lfw/Werner_Schlager/Werner_Schlager_0001.jpg\n",
+            "lfw/Nan_Wang/\n",
+            "lfw/Nan_Wang/Nan_Wang_0001.jpg\n",
+            "lfw/Nan_Wang/Nan_Wang_0002.jpg\n",
+            "lfw/Nan_Wang/Nan_Wang_0003.jpg\n",
+            "lfw/Nan_Wang/Nan_Wang_0004.jpg\n",
+            "lfw/Helio_Castroneves/\n",
+            "lfw/Helio_Castroneves/Helio_Castroneves_0001.jpg\n",
+            "lfw/Peter_Greenaway/\n",
+            "lfw/Peter_Greenaway/Peter_Greenaway_0001.jpg\n",
+            "lfw/Peter_Greenaway/Peter_Greenaway_0002.jpg\n",
+            "lfw/Eva_Amurri/\n",
+            "lfw/Eva_Amurri/Eva_Amurri_0001.jpg\n",
+            "lfw/Hugh_Carey/\n",
+            "lfw/Hugh_Carey/Hugh_Carey_0001.jpg\n",
+            "lfw/Hal_Sellers/\n",
+            "lfw/Hal_Sellers/Hal_Sellers_0001.jpg\n",
+            "lfw/Valentina_Cervi/\n",
+            "lfw/Valentina_Cervi/Valentina_Cervi_0001.jpg\n",
+            "lfw/Diana_Taylor/\n",
+            "lfw/Diana_Taylor/Diana_Taylor_0001.jpg\n",
+            "lfw/Hermogenes_Ebdane_Jr/\n",
+            "lfw/Hermogenes_Ebdane_Jr/Hermogenes_Ebdane_Jr_0001.jpg\n",
+            "lfw/Steven_Tyler/\n",
+            "lfw/Steven_Tyler/Steven_Tyler_0001.jpg\n",
+            "lfw/Patricia_Medina/\n",
+            "lfw/Patricia_Medina/Patricia_Medina_0001.jpg\n",
+            "lfw/Jean-Marc_Olive/\n",
+            "lfw/Jean-Marc_Olive/Jean-Marc_Olive_0001.jpg\n",
+            "lfw/Antonio_Cassano/\n",
+            "lfw/Antonio_Cassano/Antonio_Cassano_0001.jpg\n",
+            "lfw/Jose_Santos/\n",
+            "lfw/Jose_Santos/Jose_Santos_0001.jpg\n",
+            "lfw/Dianne_Reeves/\n",
+            "lfw/Dianne_Reeves/Dianne_Reeves_0001.jpg\n",
+            "lfw/Prince_Felipe/\n",
+            "lfw/Prince_Felipe/Prince_Felipe_0001.jpg\n",
+            "lfw/Infanta_Cristina/\n",
+            "lfw/Infanta_Cristina/Infanta_Cristina_0001.jpg\n",
+            "lfw/Cuba_Gooding_Jr/\n",
+            "lfw/Cuba_Gooding_Jr/Cuba_Gooding_Jr_0001.jpg\n",
+            "lfw/Glenn_Rivers/\n",
+            "lfw/Glenn_Rivers/Glenn_Rivers_0001.jpg\n",
+            "lfw/Dino_de_Laurentis/\n",
+            "lfw/Dino_de_Laurentis/Dino_de_Laurentis_0001.jpg\n",
+            "lfw/Dino_de_Laurentis/Dino_de_Laurentis_0002.jpg\n",
+            "lfw/Francis_Ricciardone/\n",
+            "lfw/Francis_Ricciardone/Francis_Ricciardone_0001.jpg\n",
+            "lfw/Leticia_Dolera/\n",
+            "lfw/Leticia_Dolera/Leticia_Dolera_0001.jpg\n",
+            "lfw/Joseph_Fiennes/\n",
+            "lfw/Joseph_Fiennes/Joseph_Fiennes_0001.jpg\n",
+            "lfw/Colin_Prescot/\n",
+            "lfw/Colin_Prescot/Colin_Prescot_0001.jpg\n"
+          ]
+        }
+      ],
+      "source": [
+        "!tar -xzvf /content/drive/MyDrive/lfw.tgz"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 14,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "1X2EFr3WiOKo",
+        "outputId": "f332fad9-1f65-4e52-dfc6-49368acd687e"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Removed 5326 folders\n",
+            "Remaining folders: 423\n"
+          ]
+        }
+      ],
+      "source": [
+        "import os\n",
+        "import shutil\n",
+        "count=0\n",
+        "for folder in os.listdir('lfw'):\n",
+        "    if len(os.listdir(f'lfw/{folder}')) < 5:\n",
+        "        shutil.rmtree(f'lfw/{folder}')\n",
+        "        count+=1\n",
+        "print(f\"Removed {count} folders\")\n",
+        "print(f\"Remaining folders: {len(os.listdir('lfw'))}\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "pz1vtNniCGjf"
+      },
+      "source": [
+        "## Downloading Model"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 384,
+          "referenced_widgets": [
+            "05b31ee914704cf6aa23b016e9605fa6",
+            "626e68b358004c4e92eef018313f703f",
+            "0a2e149c631d4c0c9723e3dc20cef824",
+            "3f149795afdc4f72bfd4819c2dd24e7e",
+            "5acf74fda9cd44399872a32f7e797d53",
+            "b77e47d27983498a9d5cc1b8d7a6f0a6",
+            "b37c1463ede74729998741f9ca74b9a0",
+            "09f275e257dc4f35887c189de0d0eeae",
+            "a83437e262784123ad7ab7356de9f4ad",
+            "b831e7f5cb914676b1579fc31e0466f5",
+            "b58b054a34ac4cfdb06561b956329fdb",
+            "91d1a5c7baca43f09729be8b10c0fac9",
+            "a7c63853647c43c9a98fb2c34229c25b",
+            "f32b27d0a22f442484533f98a7de6f42",
+            "e6e30d397e8d462cbfb01d22878b212e",
+            "55654d4205474d72a91581407194d839",
+            "d2ee1ee53b10436e99cd3cc7c6c23c1e",
+            "56026f29dfe44623b29bea01eae5a9f3",
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+          ]
+        },
+        "id": "BzMfQwalCGji",
+        "outputId": "73e0b9b9-4580-4ee7-dc47-d3e4c052001a"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
+            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
+            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
+            "You will be able to reuse this secret in all of your notebooks.\n",
+            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
+            "  warnings.warn(\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "05b31ee914704cf6aa23b016e9605fa6",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Fetching 6 files:   0%|          | 0/6 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "91d1a5c7baca43f09729be8b10c0fac9",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "variables/variables.index:   0%|          | 0.00/61.2k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "d61f94c1b2e24bfb8bd491a7ad9869f1",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              ".gitattributes:   0%|          | 0.00/1.59k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "5e1636ca1090486cad4cf157c618e986",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "saved_model.pb:   0%|          | 0.00/18.1M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "1e74eb5ac4c144b9996faecafdb8c77d",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "keras_metadata.pb:   0%|          | 0.00/2.52M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "d9999a65dfac41d1b9fc79fdcfd53bde",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "fingerprint.pb:   0%|          | 0.00/56.0 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "1037e6dd39494d96842994d401595ae7",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "variables.data-00000-of-00001:   0%|          | 0.00/282M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            },
+            "text/plain": [
+              "'/content/model'"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "finetuned_model_dir = \"model\"\n",
+        "\n",
+        "from huggingface_hub import snapshot_download\n",
+        "snapshot_download(repo_id='DnD11/FaceNet_Finetuned', repo_type=\"model\", local_dir=finetuned_model_dir)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mlEhvK1rh_IX"
+      },
+      "source": [
+        "# Evaluation"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 35,
+      "metadata": {
+        "id": "v5_9g5wwh0oi"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "import numpy as np\n",
+        "from tqdm import tqdm_notebook\n",
+        "from keras.models import load_model\n",
+        "from keras.preprocessing import image\n",
+        "from sklearn.metrics.pairwise import euclidean_distances\n",
+        "from deepface import DeepFace\n",
+        "import tensorflow as tf\n",
+        "\n",
+        "# Function to load and preprocess images\n",
+        "def load_and_preprocess_image(img_path, target_size=(160, 160)):\n",
+        "    img = image.load_img(img_path, target_size=target_size)\n",
+        "    img_array = image.img_to_array(img)\n",
+        "    img_array = np.expand_dims(img_array, axis=0)\n",
+        "    img_array /= 255.0\n",
+        "    return img_array\n",
+        "\n",
+        "# Function to generate embeddings\n",
+        "def generate_embeddings(model, dataset_path, deepface = False):\n",
+        "    embeddings = {}\n",
+        "\n",
+        "    for class_name in tqdm_notebook(os.listdir(dataset_path)):\n",
+        "        class_path = os.path.join(dataset_path, class_name)\n",
+        "        if not os.path.isdir(class_path):\n",
+        "            continue\n",
+        "        embeddings[class_name] = []\n",
+        "\n",
+        "        for img_name in os.listdir(class_path):\n",
+        "            img_path = os.path.join(class_path, img_name)\n",
+        "            img_array = load_and_preprocess_image(img_path)\n",
+        "            if deepface:\n",
+        "                embedding = DeepFace.represent(img_path=img_path, model_name = \"Facenet512\", enforce_detection=False, detector_backend=\"skip\")[0]['embedding']\n",
+        "            else:\n",
+        "                embedding = model.predict(img_array)\n",
+        "            embeddings[class_name].append(embedding)\n",
+        "        embeddings[class_name] = np.array(embeddings[class_name])\n",
+        "\n",
+        "\n",
+        "\n",
+        "    return embeddings\n",
+        "\n",
+        "# Function to calculate intra-cluster distances\n",
+        "def calculate_intra_cluster_metrics(embeddings):\n",
+        "    metrics = {}\n",
+        "\n",
+        "    for label, cluster_embeddings in embeddings.items():\n",
+        "        # cluster_embeddings = np.squeeze(cluster_embeddings, axis=1)\n",
+        "\n",
+        "        avg_embedding = np.mean(cluster_embeddings, axis=0)\n",
+        "        distances = euclidean_distances(cluster_embeddings, [avg_embedding])\n",
+        "        max_distance = np.max(distances)\n",
+        "        min_distance = np.min(distances)\n",
+        "        variance = np.var(distances)\n",
+        "        standard_deviation = np.std(distances)\n",
+        "        percentile_25 = np.percentile(distances, 25)\n",
+        "        percentile_50 = np.percentile(distances, 50)\n",
+        "        percentile_75 = np.percentile(distances, 75)\n",
+        "\n",
+        "        metrics[label] = {\"center\": avg_embedding, \"max_radius\": max_distance, \"min_radius\":min_distance, \"num_samples\": len(cluster_embeddings), \"variance\": variance, \"standard_deviation\": standard_deviation, \"percentile_25\": percentile_25, \"percentile_50\": percentile_50, \"percentile_75\": percentile_75}\n",
+        "\n",
+        "    return metrics"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!wget https://huggingface.co/DnD11/FaceNet_Finetuned/resolve/main/embedding_trial2.h5"
+      ],
+      "metadata": {
+        "id": "jazKxH07kWza",
+        "outputId": "543b7abc-0874-436a-ca49-c44085d3c620",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "--2024-07-20 05:16:03--  https://huggingface.co/DnD11/FaceNet_Finetuned/resolve/main/embedding_trial2.h5\n",
+            "Resolving huggingface.co (huggingface.co)... 18.239.69.83, 18.239.69.71, 18.239.69.50, ...\n",
+            "Connecting to huggingface.co (huggingface.co)|18.239.69.83|:443... connected.\n",
+            "HTTP request sent, awaiting response... 302 Found\n",
+            "Location: https://cdn-lfs-us-1.huggingface.co/repos/03/4f/034f80180b5ba08a0d9fe97aa18e17eb02604e9ba5c3e985eaee5a613e4810f6/901871f1a8502c1e168ce190908e8c5658f350ab7f0626932ab6cea57f67c9be?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27embedding_trial2.h5%3B+filename%3D%22embedding_trial2.h5%22%3B&Expires=1721711763&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMTcxMTc2M319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzAzLzRmLzAzNGY4MDE4MGI1YmEwOGEwZDlmZTk3YWExOGUxN2ViMDI2MDRlOWJhNWMzZTk4NWVhZWU1YTYxM2U0ODEwZjYvOTAxODcxZjFhODUwMmMxZTE2OGNlMTkwOTA4ZThjNTY1OGYzNTBhYjdmMDYyNjkzMmFiNmNlYTU3ZjY3YzliZT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=E2AvUZAywXEADz2LG0l40XcFqTC3baxpdK4JQcx1Vb1WsSXwoN0MSB3D-JKqB33w6aFZ03D26OFj%7E7joERMk6QPzHklqFv7qp%7E8KiHV5jobp2rAj6U4LQ6rOoxfLBDcBZHlkX8VsYRG-8b7nzbqyN%7EizxjVNPW2ERGi1U54BtpWoRr9CgKhqblgcMT%7E-qhg0rkGcSJFARlp9fu6widS8N2uSYPQ33q%7EYMtwm3lyInFzrjuGXjxjmh254KjJp9a2MWgqFzbXuFRpdCetfoaKOnyXYvd6S90HAzPUsRsGRpdtEzFlUFr%7EqE-NJoUFqoH1bLUXVRt0tnBDArGl-KU94yw__&Key-Pair-Id=K24J24Z295AEI9 [following]\n",
+            "--2024-07-20 05:16:03--  https://cdn-lfs-us-1.huggingface.co/repos/03/4f/034f80180b5ba08a0d9fe97aa18e17eb02604e9ba5c3e985eaee5a613e4810f6/901871f1a8502c1e168ce190908e8c5658f350ab7f0626932ab6cea57f67c9be?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27embedding_trial2.h5%3B+filename%3D%22embedding_trial2.h5%22%3B&Expires=1721711763&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMTcxMTc2M319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzAzLzRmLzAzNGY4MDE4MGI1YmEwOGEwZDlmZTk3YWExOGUxN2ViMDI2MDRlOWJhNWMzZTk4NWVhZWU1YTYxM2U0ODEwZjYvOTAxODcxZjFhODUwMmMxZTE2OGNlMTkwOTA4ZThjNTY1OGYzNTBhYjdmMDYyNjkzMmFiNmNlYTU3ZjY3YzliZT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=E2AvUZAywXEADz2LG0l40XcFqTC3baxpdK4JQcx1Vb1WsSXwoN0MSB3D-JKqB33w6aFZ03D26OFj%7E7joERMk6QPzHklqFv7qp%7E8KiHV5jobp2rAj6U4LQ6rOoxfLBDcBZHlkX8VsYRG-8b7nzbqyN%7EizxjVNPW2ERGi1U54BtpWoRr9CgKhqblgcMT%7E-qhg0rkGcSJFARlp9fu6widS8N2uSYPQ33q%7EYMtwm3lyInFzrjuGXjxjmh254KjJp9a2MWgqFzbXuFRpdCetfoaKOnyXYvd6S90HAzPUsRsGRpdtEzFlUFr%7EqE-NJoUFqoH1bLUXVRt0tnBDArGl-KU94yw__&Key-Pair-Id=K24J24Z295AEI9\n",
+            "Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 18.239.94.6, 18.239.94.3, 18.239.94.84, ...\n",
+            "Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|18.239.94.6|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 94732496 (90M) [binary/octet-stream]\n",
+            "Saving to: ‘embedding_trial2.h5’\n",
+            "\n",
+            "embedding_trial2.h5 100%[===================>]  90.34M  38.2MB/s    in 2.4s    \n",
+            "\n",
+            "2024-07-20 05:16:06 (38.2 MB/s) - ‘embedding_trial2.h5’ saved [94732496/94732496]\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 32,
+      "metadata": {
+        "id": "XCtTmUv0iJy1",
+        "outputId": "4f313e98-1443-4f8f-821d-9f06b7322e98",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 49,
+          "referenced_widgets": [
+            "ca422fda8afc4f0797d65b1a8a808cdc",
+            "5707fef239e2414787163e923358a937",
+            "4815dd96a58145538c30d925350658f5",
+            "11cc823478b1451b82490b4fd969e27b",
+            "c5f86e350f9f4267baf2f2aea4cba7d5",
+            "8c089b27dc2d45b9bfd5826825bf85a6",
+            "83cbc864040d45e1b31df5e0a65969a6",
+            "89567efa35a44cfaabee6d5b3009d66c",
+            "a2ebedd55767443fa2924df342ff1b4c",
+            "8926d506fce8406a990cf53890cac867",
+            "cd465523f78a43bdb8124b88a1fb7024"
+          ]
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "  0%|          | 0/423 [00:00<?, ?it/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "ca422fda8afc4f0797d65b1a8a808cdc"
+            }
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "# Path to the dataset\n",
+        "dataset_path = 'lfw'\n",
+        "model=1\n",
+        "# Generate embeddings for the original model\n",
+        "embeddings_original = generate_embeddings(model, dataset_path, True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 19,
+      "metadata": {
+        "id": "fLYr8we0iJy1",
+        "outputId": "f72bce45-8b70-417d-987c-c34e3779f2fe",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000,
+          "referenced_widgets": [
+            "00a64b4ea5314bccb09759474d50b522",
+            "ab160914cad6459da642e8edeb9c7147",
+            "ad8933fcf2484969a181c1b5e1f33fe4",
+            "778cc63f3ee34a418bbf31fb9826f284",
+            "f724e59099c746569f4f9a92362a5edf",
+            "d3be755af47b4ca5908aa51fdffe2149",
+            "f198114222f2481ca3005e14313844e6",
+            "be856f34b6e64662a97b98f4629c6068",
+            "970c3d69252f4f0f8f6e76a307a01cf6",
+            "3d9bac658ba9442888e9464b57fa551f",
+            "3361f1363a274662bb683dad5c04484a"
+          ]
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "  0%|          | 0/423 [00:00<?, ?it/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "00a64b4ea5314bccb09759474d50b522"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
+            "1/1 [==============================] - 0s 35ms/step\n",
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+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 29ms/step\n",
+            "1/1 [==============================] - 0s 34ms/step\n",
+            "1/1 [==============================] - 0s 35ms/step\n",
+            "1/1 [==============================] - 0s 34ms/step\n",
+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 49ms/step\n",
+            "1/1 [==============================] - 0s 33ms/step\n",
+            "1/1 [==============================] - 0s 29ms/step\n",
+            "1/1 [==============================] - 0s 32ms/step\n",
+            "1/1 [==============================] - 0s 28ms/step\n",
+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 33ms/step\n",
+            "1/1 [==============================] - 0s 37ms/step\n",
+            "1/1 [==============================] - 0s 34ms/step\n",
+            "1/1 [==============================] - 0s 29ms/step\n",
+            "1/1 [==============================] - 0s 36ms/step\n",
+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 28ms/step\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Load the fine-tuned model\n",
+        "import tensorflow as tf\n",
+        "finetuned_model = tf.keras.models.load_model('/content/embedding_trial2.h5')\n",
+        "embeddings_finetuned = generate_embeddings(finetuned_model, dataset_path)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pickle\n",
+        "with open('embeddings_original.pkl', 'wb') as f:\n",
+        "    pickle.dump(embeddings_original, f)\n",
+        "with open('embeddings_finetuned.pkl', 'wb') as f:\n",
+        "    pickle.dump(embeddings_finetuned, f)"
+      ],
+      "metadata": {
+        "id": "SVsPGCy1qnT6"
+      },
+      "execution_count": 33,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mlpjNEeRiJy2"
+      },
+      "source": [
+        "## Calculate Metrics"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "embeddings_finetuned[\"Wen_Jiabao\"].shape"
+      ],
+      "metadata": {
+        "id": "rQXD7DSwsuSl",
+        "outputId": "d874e86b-76e7-4634-c226-773a2f02171b",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 24,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(13, 1, 512)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 24
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 36,
+      "metadata": {
+        "id": "OuTDI5iqiJy2"
+      },
+      "outputs": [],
+      "source": [
+        "# Calculate intra-cluster distances for both models\n",
+        "metrics_original = calculate_intra_cluster_metrics(embeddings_original)\n",
+        "metrics_finetuned = calculate_intra_cluster_metrics(embeddings_finetuned)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 37,
+      "metadata": {
+        "id": "Xn4zoiytiJy3",
+        "outputId": "3d2eaec1-17ae-44cb-c5bd-42c6d9a11c74",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 927
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "def plot_histogram(metrics, key, title, xlabel):\n",
+        "    values = [metrics[label][key] for label in metrics]\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_histogram(metrics_original, 'max_radius', 'Histogram of Max Radius (Original Model)', 'Max Radius')\n",
+        "plot_histogram(metrics_finetuned, 'max_radius', 'Histogram of Max Radius (Fine-tuned Model)', 'Max Radius')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 39,
+      "metadata": {
+        "id": "PeTLOsthiJy3",
+        "outputId": "bdc1c1ca-7cbb-4654-8a0d-2c4158501a59",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 887
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "def plot_boxplot(metrics, key, title, ylabel):\n",
+        "    values = [metrics[label][key] for label in metrics]\n",
+        "    plt.figure()\n",
+        "    plt.boxplot(values)\n",
+        "    plt.title(title)\n",
+        "    plt.ylabel(ylabel)\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_boxplot(metrics_original, 'percentile_50', 'Boxplot of Median Distances (Original Model)', 'Median Distance')\n",
+        "plot_boxplot(metrics_finetuned, 'percentile_50', 'Boxplot of Median Distances (Fine-tuned Model)', 'Median Distance')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 46,
+      "metadata": {
+        "id": "tx0_WPHWiJy3",
+        "outputId": "3ca088a3-2ed4-4106-8fd3-26c4a1e8328e",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "def plot_histogram(metrics, title, xlabel):\n",
+        "    values = list(metrics.values()) # Extract values from the dictionary\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "def compare_metrics(metrics_original, metrics_finetuned, key):\n",
+        "    changes = {}\n",
+        "    for label in metrics_original:\n",
+        "        if label in metrics_finetuned:\n",
+        "            change = metrics_finetuned[label][key] - metrics_original[label][key]\n",
+        "            changes[label] = change\n",
+        "    return changes\n",
+        "\n",
+        "max_radius_change = compare_metrics(metrics_original, metrics_finetuned, 'max_radius')\n",
+        "plot_histogram(max_radius_change, 'Histogram of Max Radius Change', 'Max Radius Change')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 41,
+      "metadata": {
+        "id": "UMkNB6xviJy3"
+      },
+      "outputs": [],
+      "source": [
+        "def calculate_inter_cluster_metrics(embeddings):\n",
+        "    centers = {label: metrics['center'] for label, metrics in embeddings.items()}\n",
+        "    labels = list(centers.keys())\n",
+        "    inter_cluster_distances = euclidean_distances(list(centers.values()))\n",
+        "\n",
+        "    metrics = {}\n",
+        "    for i, label1 in enumerate(labels):\n",
+        "        for j, label2 in enumerate(labels):\n",
+        "            if i >= j:\n",
+        "                continue\n",
+        "            distance = inter_cluster_distances[i, j]\n",
+        "            pair = tuple(sorted((label1, label2)))\n",
+        "            metrics[pair] = distance\n",
+        "\n",
+        "    return metrics\n",
+        "\n",
+        "inter_cluster_metrics_original = calculate_inter_cluster_metrics(metrics_original)\n",
+        "inter_cluster_metrics_finetuned = calculate_inter_cluster_metrics(metrics_finetuned)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 42,
+      "metadata": {
+        "id": "K9Und3BkiJy4",
+        "outputId": "3cde8556-4f99-46d4-fc00-5e0e4723d333",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "def compare_inter_cluster_metrics(metrics_original, metrics_finetuned):\n",
+        "    changes = {}\n",
+        "    for pair in metrics_original:\n",
+        "        if pair in metrics_finetuned:\n",
+        "            change = metrics_finetuned[pair] - metrics_original[pair]\n",
+        "            changes[pair] = change\n",
+        "    return changes\n",
+        "\n",
+        "inter_cluster_distance_change = compare_inter_cluster_metrics(inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n",
+        "\n",
+        "def plot_inter_cluster_changes(inter_cluster_distance_change, title, xlabel):\n",
+        "    values = list(inter_cluster_distance_change.values())\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_inter_cluster_changes(inter_cluster_distance_change, 'Histogram of Inter-Cluster Distance Changes', 'Inter-Cluster Distance Change')\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "QforM1ZSiJy4"
+      },
+      "source": [
+        "## Impact on faces"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 44,
+      "metadata": {
+        "id": "EmxEp0iDiJy4",
+        "outputId": "c02bf828-3387-4df6-a568-2dd52c44a742",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Positively Impacted Faces: 90099\n",
+            "Negatively Impacted Faces: 0\n",
+            "Averagely Impacted Faces: 0\n"
+          ]
+        }
+      ],
+      "source": [
+        "def classify_impact(intra_metrics_original, intra_metrics_finetuned, inter_metrics_original, inter_metrics_finetuned):\n",
+        "    impact = {\n",
+        "        'positively_impacted': [],\n",
+        "        'negatively_impacted': [],\n",
+        "        'averagely_impacted': []\n",
+        "    }\n",
+        "\n",
+        "    # Define thresholds for considering a change as significant\n",
+        "    threshold = 0.01  # You can adjust this value based on your needs\n",
+        "\n",
+        "    # Classify intra-cluster metric changes\n",
+        "    for label in intra_metrics_original:\n",
+        "        if label in intra_metrics_finetuned:\n",
+        "            max_radius_change = intra_metrics_finetuned[label]['max_radius'] - intra_metrics_original[label]['max_radius']\n",
+        "            if max_radius_change < -threshold:\n",
+        "                impact['positively_impacted'].append((label, 'max_radius'))\n",
+        "            elif max_radius_change > threshold:\n",
+        "                impact['negatively_impacted'].append((label, 'max_radius'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((label, 'max_radius'))\n",
+        "\n",
+        "            # Add other metrics here if needed\n",
+        "            # Example: variance, standard_deviation, etc.\n",
+        "            variance_change = intra_metrics_finetuned[label]['variance'] - intra_metrics_original[label]['variance']\n",
+        "            if variance_change < -threshold:\n",
+        "                impact['positively_impacted'].append((label, 'variance'))\n",
+        "            elif variance_change > threshold:\n",
+        "                impact['negatively_impacted'].append((label, 'variance'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((label, 'variance'))\n",
+        "\n",
+        "    # Classify inter-cluster metric changes\n",
+        "    for pair in inter_metrics_original:\n",
+        "        if pair in inter_metrics_finetuned:\n",
+        "            distance_change = inter_metrics_finetuned[pair] - inter_metrics_original[pair]\n",
+        "            if distance_change < -threshold:\n",
+        "                impact['positively_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "            elif distance_change > threshold:\n",
+        "                impact['negatively_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "\n",
+        "    return impact\n",
+        "\n",
+        "# Assuming metrics_original and metrics_finetuned are dictionaries containing the calculated metrics\n",
+        "impact = classify_impact(metrics_original, metrics_finetuned, inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n",
+        "\n",
+        "# Print the impact classification\n",
+        "print(f\"Positively Impacted Faces: {len(impact['positively_impacted'])}\")\n",
+        "print(f\"Negatively Impacted Faces: {len(impact['negatively_impacted'])}\")\n",
+        "print(f\"Averagely Impacted Faces: {len(impact['averagely_impacted'])}\")\n",
+        "\n",
+        "# Optional: Print detailed impact for each face\n",
+        "# for category, changes in impact.items():\n",
+        "#     print(f\"\\n{category.capitalize()} Faces:\")\n",
+        "#     for change in changes:\n",
+        "#         print(change)\n"
+      ]
+    }
+  ],
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+          "model_module": "@jupyter-widgets/base",
+          "model_name": "LayoutModel",
+          "model_module_version": "1.2.0",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "3361f1363a274662bb683dad5c04484a": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_name": "DescriptionStyleModel",
+          "model_module_version": "1.5.0",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        }
+      }
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/Model-Training/Evaluated_model_try2_vs_try3.ipynb b/Model-Training/Evaluated_model_try2_vs_try3.ipynb
new file mode 100644
index 0000000..7b5d770
--- /dev/null
+++ b/Model-Training/Evaluated_model_try2_vs_try3.ipynb
@@ -0,0 +1,19153 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Devasy23/FaceRec/blob/feat%2FModel-evaluation/Model-Training/Evaluated_model_try2_vs_try3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7dpZF1CUCJjJ"
+      },
+      "source": [
+        "# Pre-setup\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Ca5SxWfjCGjM",
+        "outputId": "0a8afad8-5fc1-4abf-870e-87fbf648f7ce"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting deepface\n",
+            "  Downloading deepface-0.0.92-py3-none-any.whl (105 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.5/105.5 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: requests>=2.27.1 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.31.0)\n",
+            "Requirement already satisfied: numpy>=1.14.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (1.25.2)\n",
+            "Requirement already satisfied: pandas>=0.23.4 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.0.3)\n",
+            "Requirement already satisfied: gdown>=3.10.1 in /usr/local/lib/python3.10/dist-packages (from deepface) (5.1.0)\n",
+            "Requirement already satisfied: tqdm>=4.30.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (4.66.4)\n",
+            "Requirement already satisfied: Pillow>=5.2.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (9.4.0)\n",
+            "Requirement already satisfied: opencv-python>=4.5.5.64 in /usr/local/lib/python3.10/dist-packages (from deepface) (4.8.0.76)\n",
+            "Requirement already satisfied: tensorflow>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.15.0)\n",
+            "Requirement already satisfied: keras>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.15.0)\n",
+            "Requirement already satisfied: Flask>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from deepface) (2.2.5)\n",
+            "Collecting mtcnn>=0.1.0 (from deepface)\n",
+            "  Downloading mtcnn-0.1.1-py3-none-any.whl (2.3 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting retina-face>=0.0.1 (from deepface)\n",
+            "  Downloading retina_face-0.0.17-py3-none-any.whl (25 kB)\n",
+            "Collecting fire>=0.4.0 (from deepface)\n",
+            "  Downloading fire-0.6.0.tar.gz (88 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.4/88.4 kB\u001b[0m \u001b[31m13.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "Collecting gunicorn>=20.1.0 (from deepface)\n",
+            "  Downloading gunicorn-22.0.0-py3-none-any.whl (84 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.4/84.4 kB\u001b[0m \u001b[31m13.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from fire>=0.4.0->deepface) (1.16.0)\n",
+            "Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from fire>=0.4.0->deepface) (2.4.0)\n",
+            "Requirement already satisfied: Werkzeug>=2.2.2 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (3.0.3)\n",
+            "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (3.1.4)\n",
+            "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (2.2.0)\n",
+            "Requirement already satisfied: click>=8.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=1.1.2->deepface) (8.1.7)\n",
+            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from gdown>=3.10.1->deepface) (4.12.3)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from gdown>=3.10.1->deepface) (3.15.4)\n",
+            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from gunicorn>=20.1.0->deepface) (24.1)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2.8.2)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2023.4)\n",
+            "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.4->deepface) (2024.1)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (3.3.2)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (3.7)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (2.0.7)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (2024.7.4)\n",
+            "Requirement already satisfied: absl-py>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.4.0)\n",
+            "Requirement already satisfied: astunparse>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.6.3)\n",
+            "Requirement already satisfied: flatbuffers>=23.5.26 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (24.3.25)\n",
+            "Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.6.0)\n",
+            "Requirement already satisfied: google-pasta>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.2.0)\n",
+            "Requirement already satisfied: h5py>=2.9.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.9.0)\n",
+            "Requirement already satisfied: libclang>=13.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (18.1.1)\n",
+            "Requirement already satisfied: ml-dtypes~=0.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.2.0)\n",
+            "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.3.0)\n",
+            "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (3.20.3)\n",
+            "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (67.7.2)\n",
+            "Requirement already satisfied: typing-extensions>=3.6.6 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (4.12.2)\n",
+            "Requirement already satisfied: wrapt<1.15,>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.14.1)\n",
+            "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (0.37.1)\n",
+            "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (1.64.1)\n",
+            "Requirement already satisfied: tensorboard<2.16,>=2.15 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (2.15.2)\n",
+            "Requirement already satisfied: tensorflow-estimator<2.16,>=2.15.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow>=1.9.0->deepface) (2.15.0)\n",
+            "Requirement already satisfied: wheel<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from astunparse>=1.6.0->tensorflow>=1.9.0->deepface) (0.43.0)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.0->Flask>=1.1.2->deepface) (2.1.5)\n",
+            "Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (2.27.0)\n",
+            "Requirement already satisfied: google-auth-oauthlib<2,>=0.5 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (1.2.1)\n",
+            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.6)\n",
+            "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.7.2)\n",
+            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown>=3.10.1->deepface) (2.5)\n",
+            "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests>=2.27.1->deepface) (1.7.1)\n",
+            "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (5.4.0)\n",
+            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.4.0)\n",
+            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (4.9)\n",
+            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (1.3.1)\n",
+            "Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.6.0)\n",
+            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.2.2)\n",
+            "Building wheels for collected packages: fire\n",
+            "  Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for fire: filename=fire-0.6.0-py2.py3-none-any.whl size=117029 sha256=67bc03a9e6bdcc6f65bb0b6581d1d41d76ee9413e12d009a71a4696a6b32e126\n",
+            "  Stored in directory: /root/.cache/pip/wheels/d6/6d/5d/5b73fa0f46d01a793713f8859201361e9e581ced8c75e5c6a3\n",
+            "Successfully built fire\n",
+            "Installing collected packages: gunicorn, fire, mtcnn, retina-face, deepface\n",
+            "Successfully installed deepface-0.0.92 fire-0.6.0 gunicorn-22.0.0 mtcnn-0.1.1 retina-face-0.0.17\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install deepface"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "KxpbRTJDCGjU"
+      },
+      "source": [
+        "## Downloading Data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NI6P1qt_h_hm",
+        "outputId": "dec9f11e-da1e-4019-b085-d7fb0ad763ad"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "--2024-07-20 05:17:12--  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Resolving vis-www.cs.umass.edu (vis-www.cs.umass.edu)... 128.119.244.95\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:19:24--  (try: 2)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:21:36--  (try: 3)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:23:48--  (try: 4)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... failed: Connection timed out.\n",
+            "Retrying.\n",
+            "\n",
+            "--2024-07-20 05:26:04--  (try: 5)  http://vis-www.cs.umass.edu/lfw/lfw.tgz\n",
+            "Connecting to vis-www.cs.umass.edu (vis-www.cs.umass.edu)|128.119.244.95|:80... ^C\n"
+          ]
+        }
+      ],
+      "source": [
+        "!wget http://vis-www.cs.umass.edu/lfw/lfw.tgz"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 13,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "JgJ3e_jmh_X3",
+        "outputId": "d73c3143-1b81-409b-cfe8-57118ccee89a"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
+            "lfw/Luis_Sanchez/\n",
+            "lfw/Luis_Sanchez/Luis_Sanchez_0001.jpg\n",
+            "lfw/Juliette_Binoche/\n",
+            "lfw/Juliette_Binoche/Juliette_Binoche_0001.jpg\n",
+            "lfw/Joel_Todd/\n",
+            "lfw/Joel_Todd/Joel_Todd_0001.jpg\n",
+            "lfw/Allan_Wagner/\n",
+            "lfw/Allan_Wagner/Allan_Wagner_0001.jpg\n",
+            "lfw/Alejandro_Fernandez/\n",
+            "lfw/Alejandro_Fernandez/Alejandro_Fernandez_0001.jpg\n",
+            "lfw/Guillaume_Depardieu/\n",
+            "lfw/Guillaume_Depardieu/Guillaume_Depardieu_0001.jpg\n",
+            "lfw/Delphine_Chuillot/\n",
+            "lfw/Delphine_Chuillot/Delphine_Chuillot_0001.jpg\n",
+            "lfw/Paul_LeClerc/\n",
+            "lfw/Paul_LeClerc/Paul_LeClerc_0001.jpg\n",
+            "lfw/Eddie_Jordan/\n",
+            "lfw/Eddie_Jordan/Eddie_Jordan_0001.jpg\n",
+            "lfw/Lionel_Richie/\n",
+            "lfw/Lionel_Richie/Lionel_Richie_0001.jpg\n",
+            "lfw/Lionel_Richie/Lionel_Richie_0002.jpg\n",
+            "lfw/Jose_Viegas_Filho/\n",
+            "lfw/Jose_Viegas_Filho/Jose_Viegas_Filho_0001.jpg\n",
+            "lfw/Jose_Viegas_Filho/Jose_Viegas_Filho_0002.jpg\n",
+            "lfw/Roger_Mahony/\n",
+            "lfw/Roger_Mahony/Roger_Mahony_0001.jpg\n",
+            "lfw/Clay_Aiken/\n",
+            "lfw/Clay_Aiken/Clay_Aiken_0001.jpg\n",
+            "lfw/Clay_Aiken/Clay_Aiken_0002.jpg\n",
+            "lfw/Clay_Aiken/Clay_Aiken_0003.jpg\n",
+            "lfw/Clay_Aiken/Clay_Aiken_0004.jpg\n",
+            "lfw/Clay_Aiken/Clay_Aiken_0005.jpg\n",
+            "lfw/Clay_Aiken/Clay_Aiken_0006.jpg\n",
+            "lfw/Edward_Egan/\n",
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+            "lfw/Hector_Babenco/Hector_Babenco_0001.jpg\n",
+            "lfw/Hector_Babenco/Hector_Babenco_0002.jpg\n",
+            "lfw/Hector_Babenco/Hector_Babenco_0003.jpg\n",
+            "lfw/Maria_Luisa_Mendonca/\n",
+            "lfw/Maria_Luisa_Mendonca/Maria_Luisa_Mendonca_0001.jpg\n",
+            "lfw/Maria_Luisa_Mendonca/Maria_Luisa_Mendonca_0002.jpg\n",
+            "lfw/Caio_Blat/\n",
+            "lfw/Caio_Blat/Caio_Blat_0001.jpg\n",
+            "lfw/Jodie_Kidd/\n",
+            "lfw/Jodie_Kidd/Jodie_Kidd_0001.jpg\n",
+            "lfw/Andy_Rooney/\n",
+            "lfw/Andy_Rooney/Andy_Rooney_0001.jpg\n",
+            "lfw/Pascal_Rheaume/\n",
+            "lfw/Pascal_Rheaume/Pascal_Rheaume_0001.jpg\n",
+            "lfw/Amber_Frey/\n",
+            "lfw/Amber_Frey/Amber_Frey_0001.jpg\n",
+            "lfw/Stellan_Skarsgard/\n",
+            "lfw/Stellan_Skarsgard/Stellan_Skarsgard_0001.jpg\n",
+            "lfw/Stellan_Skarsgard/Stellan_Skarsgard_0002.jpg\n",
+            "lfw/Faye_Alibocus/\n",
+            "lfw/Faye_Alibocus/Faye_Alibocus_0001.jpg\n",
+            "lfw/Joshua_Davey/\n",
+            "lfw/Joshua_Davey/Joshua_Davey_0001.jpg\n",
+            "lfw/Barbara_Bach/\n",
+            "lfw/Barbara_Bach/Barbara_Bach_0001.jpg\n",
+            "lfw/Ringo_Starr/\n",
+            "lfw/Ringo_Starr/Ringo_Starr_0001.jpg\n",
+            "lfw/Bernice_Wong/\n",
+            "lfw/Bernice_Wong/Bernice_Wong_0001.jpg\n",
+            "lfw/Roger_Lyons/\n",
+            "lfw/Roger_Lyons/Roger_Lyons_0001.jpg\n",
+            "lfw/Na_Na_Keum/\n",
+            "lfw/Na_Na_Keum/Na_Na_Keum_0001.jpg\n",
+            "lfw/Alexandra_Vodjanikova/\n",
+            "lfw/Alexandra_Vodjanikova/Alexandra_Vodjanikova_0001.jpg\n",
+            "lfw/Alexandra_Vodjanikova/Alexandra_Vodjanikova_0002.jpg\n",
+            "lfw/Yannos_Papantoniou/\n",
+            "lfw/Yannos_Papantoniou/Yannos_Papantoniou_0001.jpg\n",
+            "lfw/Sanja_Papic/\n",
+            "lfw/Sanja_Papic/Sanja_Papic_0001.jpg\n",
+            "lfw/Paul_Walker/\n",
+            "lfw/Paul_Walker/Paul_Walker_0001.jpg\n",
+            "lfw/Jason_Sehorn/\n",
+            "lfw/Jason_Sehorn/Jason_Sehorn_0001.jpg\n",
+            "lfw/Darko_Milicic/\n",
+            "lfw/Darko_Milicic/Darko_Milicic_0001.jpg\n",
+            "lfw/Katerina_Smrzova/\n",
+            "lfw/Katerina_Smrzova/Katerina_Smrzova_0001.jpg\n",
+            "lfw/David_Carradine/\n",
+            "lfw/David_Carradine/David_Carradine_0001.jpg\n",
+            "lfw/Coco_dEste/\n",
+            "lfw/Coco_dEste/Coco_dEste_0001.jpg\n",
+            "lfw/Rene_Antonio_Leon_Rodriguez/\n",
+            "lfw/Rene_Antonio_Leon_Rodriguez/Rene_Antonio_Leon_Rodriguez_0001.jpg\n",
+            "lfw/Carlos_Quintanilla_Schmidt/\n",
+            "lfw/Carlos_Quintanilla_Schmidt/Carlos_Quintanilla_Schmidt_0001.jpg\n",
+            "lfw/Carlos_Quintanilla_Schmidt/Carlos_Quintanilla_Schmidt_0002.jpg\n",
+            "lfw/Bill_Parsons/\n",
+            "lfw/Bill_Parsons/Bill_Parsons_0001.jpg\n",
+            "lfw/Danny_Ainge/\n",
+            "lfw/Danny_Ainge/Danny_Ainge_0001.jpg\n",
+            "lfw/Brad_Alexander_Smith/\n",
+            "lfw/Brad_Alexander_Smith/Brad_Alexander_Smith_0001.jpg\n",
+            "lfw/Alex_Zanardi/\n",
+            "lfw/Alex_Zanardi/Alex_Zanardi_0001.jpg\n",
+            "lfw/Steve_Avery/\n",
+            "lfw/Steve_Avery/Steve_Avery_0001.jpg\n",
+            "lfw/Matt_Anderson/\n",
+            "lfw/Matt_Anderson/Matt_Anderson_0001.jpg\n",
+            "lfw/Richard_Jefferson/\n",
+            "lfw/Richard_Jefferson/Richard_Jefferson_0001.jpg\n",
+            "lfw/Leon_Barmore/\n",
+            "lfw/Leon_Barmore/Leon_Barmore_0001.jpg\n",
+            "lfw/Jose_Luis_Santiago_Vasconcelos/\n",
+            "lfw/Jose_Luis_Santiago_Vasconcelos/Jose_Luis_Santiago_Vasconcelos_0001.jpg\n",
+            "lfw/Mary_Matalin/\n",
+            "lfw/Mary_Matalin/Mary_Matalin_0001.jpg\n",
+            "lfw/David_Ho/\n",
+            "lfw/David_Ho/David_Ho_0001.jpg\n",
+            "lfw/Thomas_Ulrich/\n",
+            "lfw/Thomas_Ulrich/Thomas_Ulrich_0001.jpg\n",
+            "lfw/Graciano_Rocchigiani/\n",
+            "lfw/Graciano_Rocchigiani/Graciano_Rocchigiani_0001.jpg\n",
+            "lfw/John_Moe/\n",
+            "lfw/John_Moe/John_Moe_0001.jpg\n",
+            "lfw/Tora_Takagi/\n",
+            "lfw/Tora_Takagi/Tora_Takagi_0001.jpg\n",
+            "lfw/Chris_Neil/\n",
+            "lfw/Chris_Neil/Chris_Neil_0001.jpg\n",
+            "lfw/Barbara_Bodine/\n",
+            "lfw/Barbara_Bodine/Barbara_Bodine_0001.jpg\n",
+            "lfw/Rolf_Eckrodt/\n",
+            "lfw/Rolf_Eckrodt/Rolf_Eckrodt_0001.jpg\n",
+            "lfw/Rolf_Eckrodt/Rolf_Eckrodt_0002.jpg\n",
+            "lfw/Carol_Niedermayer/\n",
+            "lfw/Carol_Niedermayer/Carol_Niedermayer_0001.jpg\n",
+            "lfw/Martha_Sahagun_de_Fox/\n",
+            "lfw/Martha_Sahagun_de_Fox/Martha_Sahagun_de_Fox_0001.jpg\n",
+            "lfw/Armando_Calderon_Sol/\n",
+            "lfw/Armando_Calderon_Sol/Armando_Calderon_Sol_0001.jpg\n",
+            "lfw/Terunobu_Maeda/\n",
+            "lfw/Terunobu_Maeda/Terunobu_Maeda_0001.jpg\n",
+            "lfw/Alex_Corretja/\n",
+            "lfw/Alex_Corretja/Alex_Corretja_0001.jpg\n",
+            "lfw/Elena_Tihomirova/\n",
+            "lfw/Elena_Tihomirova/Elena_Tihomirova_0001.jpg\n",
+            "lfw/Emmy_Rossum/\n",
+            "lfw/Emmy_Rossum/Emmy_Rossum_0001.jpg\n",
+            "lfw/Andrea_Yates/\n",
+            "lfw/Andrea_Yates/Andrea_Yates_0001.jpg\n",
+            "lfw/Laura_Romero/\n",
+            "lfw/Laura_Romero/Laura_Romero_0001.jpg\n",
+            "lfw/Szu_Yu_Chen/\n",
+            "lfw/Szu_Yu_Chen/Szu_Yu_Chen_0001.jpg\n",
+            "lfw/Rudy_Tomjanovich/\n",
+            "lfw/Rudy_Tomjanovich/Rudy_Tomjanovich_0001.jpg\n",
+            "lfw/Norman_Mineta/\n",
+            "lfw/Norman_Mineta/Norman_Mineta_0001.jpg\n",
+            "lfw/Michael_Killeen/\n",
+            "lfw/Michael_Killeen/Michael_Killeen_0001.jpg\n",
+            "lfw/Kristen_Rivera/\n",
+            "lfw/Kristen_Rivera/Kristen_Rivera_0001.jpg\n",
+            "lfw/Alicia_Hollowell/\n",
+            "lfw/Alicia_Hollowell/Alicia_Hollowell_0001.jpg\n",
+            "lfw/Peter_Hollingworth/\n",
+            "lfw/Peter_Hollingworth/Peter_Hollingworth_0001.jpg\n",
+            "lfw/Ashlea_Talbot/\n",
+            "lfw/Ashlea_Talbot/Ashlea_Talbot_0001.jpg\n",
+            "lfw/Christine_Rau/\n",
+            "lfw/Christine_Rau/Christine_Rau_0001.jpg\n",
+            "lfw/Wei_Wu/\n",
+            "lfw/Wei_Wu/Wei_Wu_0001.jpg\n",
+            "lfw/Eugene_Melnyk/\n",
+            "lfw/Eugene_Melnyk/Eugene_Melnyk_0001.jpg\n",
+            "lfw/Jim_Paxson/\n",
+            "lfw/Jim_Paxson/Jim_Paxson_0001.jpg\n",
+            "lfw/Annie_Chaplin/\n",
+            "lfw/Annie_Chaplin/Annie_Chaplin_0001.jpg\n",
+            "lfw/Jeanne_Moreau/\n",
+            "lfw/Jeanne_Moreau/Jeanne_Moreau_0001.jpg\n",
+            "lfw/Jeanne_Moreau/Jeanne_Moreau_0002.jpg\n",
+            "lfw/Ornella_Muti/\n",
+            "lfw/Ornella_Muti/Ornella_Muti_0001.jpg\n",
+            "lfw/Yuri_Luzhkov/\n",
+            "lfw/Yuri_Luzhkov/Yuri_Luzhkov_0001.jpg\n",
+            "lfw/Mark_Butcher/\n",
+            "lfw/Mark_Butcher/Mark_Butcher_0001.jpg\n",
+            "lfw/Michelle_Lecky/\n",
+            "lfw/Michelle_Lecky/Michelle_Lecky_0001.jpg\n",
+            "lfw/Tina_Pisnik/\n",
+            "lfw/Tina_Pisnik/Tina_Pisnik_0001.jpg\n",
+            "lfw/Jeffrey_Katzenberg/\n",
+            "lfw/Jeffrey_Katzenberg/Jeffrey_Katzenberg_0001.jpg\n",
+            "lfw/Andrew_Bunner/\n",
+            "lfw/Andrew_Bunner/Andrew_Bunner_0001.jpg\n",
+            "lfw/Andrew_Bunner/Andrew_Bunner_0002.jpg\n",
+            "lfw/David_Welch/\n",
+            "lfw/David_Welch/David_Welch_0001.jpg\n",
+            "lfw/Jane_Rooney/\n",
+            "lfw/Jane_Rooney/Jane_Rooney_0001.jpg\n",
+            "lfw/Mickey_Rooney/\n",
+            "lfw/Mickey_Rooney/Mickey_Rooney_0001.jpg\n",
+            "lfw/Peter_Hunt/\n",
+            "lfw/Peter_Hunt/Peter_Hunt_0001.jpg\n",
+            "lfw/Francis_Crick/\n",
+            "lfw/Francis_Crick/Francis_Crick_0001.jpg\n",
+            "lfw/Kay_Behrensmeyer/\n",
+            "lfw/Kay_Behrensmeyer/Kay_Behrensmeyer_0001.jpg\n",
+            "lfw/Gala_Leon_Garcia/\n",
+            "lfw/Gala_Leon_Garcia/Gala_Leon_Garcia_0001.jpg\n",
+            "lfw/Wanda_de_la_Jesus/\n",
+            "lfw/Wanda_de_la_Jesus/Wanda_de_la_Jesus_0001.jpg\n",
+            "lfw/Jimmy_Smits/\n",
+            "lfw/Jimmy_Smits/Jimmy_Smits_0001.jpg\n",
+            "lfw/Jane_Leeves/\n",
+            "lfw/Jane_Leeves/Jane_Leeves_0001.jpg\n",
+            "lfw/Kelsey_Grammer/\n",
+            "lfw/Kelsey_Grammer/Kelsey_Grammer_0001.jpg\n",
+            "lfw/Donna_Ralston/\n",
+            "lfw/Donna_Ralston/Donna_Ralston_0001.jpg\n",
+            "lfw/Larry_Ralston/\n",
+            "lfw/Larry_Ralston/Larry_Ralston_0001.jpg\n",
+            "lfw/Barry_Diller/\n",
+            "lfw/Barry_Diller/Barry_Diller_0001.jpg\n",
+            "lfw/Dominique_Perben/\n",
+            "lfw/Dominique_Perben/Dominique_Perben_0001.jpg\n",
+            "lfw/Peri_Gilpin/\n",
+            "lfw/Peri_Gilpin/Peri_Gilpin_0001.jpg\n",
+            "lfw/David_Bowie/\n",
+            "lfw/David_Bowie/David_Bowie_0001.jpg\n",
+            "lfw/Elizabeth_Regan/\n",
+            "lfw/Elizabeth_Regan/Elizabeth_Regan_0001.jpg\n",
+            "lfw/Whoopi_Goldberg/\n",
+            "lfw/Whoopi_Goldberg/Whoopi_Goldberg_0001.jpg\n",
+            "lfw/Dany_Heatley/\n",
+            "lfw/Dany_Heatley/Dany_Heatley_0001.jpg\n",
+            "lfw/Chris_Kolanas/\n",
+            "lfw/Chris_Kolanas/Chris_Kolanas_0001.jpg\n",
+            "lfw/Chuck_Hagel/\n",
+            "lfw/Chuck_Hagel/Chuck_Hagel_0001.jpg\n",
+            "lfw/Jamir_Miller/\n",
+            "lfw/Jamir_Miller/Jamir_Miller_0001.jpg\n",
+            "lfw/Tatiana_Kennedy_Schlossberg/\n",
+            "lfw/Tatiana_Kennedy_Schlossberg/Tatiana_Kennedy_Schlossberg_0001.jpg\n",
+            "lfw/James_Smith/\n",
+            "lfw/James_Smith/James_Smith_0001.jpg\n",
+            "lfw/James_Smith/James_Smith_0002.jpg\n",
+            "lfw/Doug_Christie/\n",
+            "lfw/Doug_Christie/Doug_Christie_0001.jpg\n",
+            "lfw/Desiree_McKenzie/\n",
+            "lfw/Desiree_McKenzie/Desiree_McKenzie_0001.jpg\n",
+            "lfw/Dan_Prinster/\n",
+            "lfw/Dan_Prinster/Dan_Prinster_0001.jpg\n",
+            "lfw/Henning_Scherf/\n",
+            "lfw/Henning_Scherf/Henning_Scherf_0001.jpg\n",
+            "lfw/Kang_Gum-sil/\n",
+            "lfw/Kang_Gum-sil/Kang_Gum-sil_0001.jpg\n",
+            "lfw/Denys_Arcand/\n",
+            "lfw/Denys_Arcand/Denys_Arcand_0001.jpg\n",
+            "lfw/Dwayne_Williams/\n",
+            "lfw/Dwayne_Williams/Dwayne_Williams_0001.jpg\n",
+            "lfw/Se_Hyuk_Joo/\n",
+            "lfw/Se_Hyuk_Joo/Se_Hyuk_Joo_0001.jpg\n",
+            "lfw/Daniel_Scioli/\n",
+            "lfw/Daniel_Scioli/Daniel_Scioli_0001.jpg\n",
+            "lfw/Marie-Josee_Croze/\n",
+            "lfw/Marie-Josee_Croze/Marie-Josee_Croze_0001.jpg\n",
+            "lfw/Rachel_Kempson/\n",
+            "lfw/Rachel_Kempson/Rachel_Kempson_0001.jpg\n",
+            "lfw/Tony_Elias/\n",
+            "lfw/Tony_Elias/Tony_Elias_0001.jpg\n",
+            "lfw/Wang_Nan/\n",
+            "lfw/Wang_Nan/Wang_Nan_0001.jpg\n",
+            "lfw/Gus_Van_Sant/\n",
+            "lfw/Gus_Van_Sant/Gus_Van_Sant_0001.jpg\n",
+            "lfw/Gus_Van_Sant/Gus_Van_Sant_0002.jpg\n",
+            "lfw/Gus_Van_Sant/Gus_Van_Sant_0003.jpg\n",
+            "lfw/Werner_Schlager/\n",
+            "lfw/Werner_Schlager/Werner_Schlager_0001.jpg\n",
+            "lfw/Nan_Wang/\n",
+            "lfw/Nan_Wang/Nan_Wang_0001.jpg\n",
+            "lfw/Nan_Wang/Nan_Wang_0002.jpg\n",
+            "lfw/Nan_Wang/Nan_Wang_0003.jpg\n",
+            "lfw/Nan_Wang/Nan_Wang_0004.jpg\n",
+            "lfw/Helio_Castroneves/\n",
+            "lfw/Helio_Castroneves/Helio_Castroneves_0001.jpg\n",
+            "lfw/Peter_Greenaway/\n",
+            "lfw/Peter_Greenaway/Peter_Greenaway_0001.jpg\n",
+            "lfw/Peter_Greenaway/Peter_Greenaway_0002.jpg\n",
+            "lfw/Eva_Amurri/\n",
+            "lfw/Eva_Amurri/Eva_Amurri_0001.jpg\n",
+            "lfw/Hugh_Carey/\n",
+            "lfw/Hugh_Carey/Hugh_Carey_0001.jpg\n",
+            "lfw/Hal_Sellers/\n",
+            "lfw/Hal_Sellers/Hal_Sellers_0001.jpg\n",
+            "lfw/Valentina_Cervi/\n",
+            "lfw/Valentina_Cervi/Valentina_Cervi_0001.jpg\n",
+            "lfw/Diana_Taylor/\n",
+            "lfw/Diana_Taylor/Diana_Taylor_0001.jpg\n",
+            "lfw/Hermogenes_Ebdane_Jr/\n",
+            "lfw/Hermogenes_Ebdane_Jr/Hermogenes_Ebdane_Jr_0001.jpg\n",
+            "lfw/Steven_Tyler/\n",
+            "lfw/Steven_Tyler/Steven_Tyler_0001.jpg\n",
+            "lfw/Patricia_Medina/\n",
+            "lfw/Patricia_Medina/Patricia_Medina_0001.jpg\n",
+            "lfw/Jean-Marc_Olive/\n",
+            "lfw/Jean-Marc_Olive/Jean-Marc_Olive_0001.jpg\n",
+            "lfw/Antonio_Cassano/\n",
+            "lfw/Antonio_Cassano/Antonio_Cassano_0001.jpg\n",
+            "lfw/Jose_Santos/\n",
+            "lfw/Jose_Santos/Jose_Santos_0001.jpg\n",
+            "lfw/Dianne_Reeves/\n",
+            "lfw/Dianne_Reeves/Dianne_Reeves_0001.jpg\n",
+            "lfw/Prince_Felipe/\n",
+            "lfw/Prince_Felipe/Prince_Felipe_0001.jpg\n",
+            "lfw/Infanta_Cristina/\n",
+            "lfw/Infanta_Cristina/Infanta_Cristina_0001.jpg\n",
+            "lfw/Cuba_Gooding_Jr/\n",
+            "lfw/Cuba_Gooding_Jr/Cuba_Gooding_Jr_0001.jpg\n",
+            "lfw/Glenn_Rivers/\n",
+            "lfw/Glenn_Rivers/Glenn_Rivers_0001.jpg\n",
+            "lfw/Dino_de_Laurentis/\n",
+            "lfw/Dino_de_Laurentis/Dino_de_Laurentis_0001.jpg\n",
+            "lfw/Dino_de_Laurentis/Dino_de_Laurentis_0002.jpg\n",
+            "lfw/Francis_Ricciardone/\n",
+            "lfw/Francis_Ricciardone/Francis_Ricciardone_0001.jpg\n",
+            "lfw/Leticia_Dolera/\n",
+            "lfw/Leticia_Dolera/Leticia_Dolera_0001.jpg\n",
+            "lfw/Joseph_Fiennes/\n",
+            "lfw/Joseph_Fiennes/Joseph_Fiennes_0001.jpg\n",
+            "lfw/Colin_Prescot/\n",
+            "lfw/Colin_Prescot/Colin_Prescot_0001.jpg\n"
+          ]
+        }
+      ],
+      "source": [
+        "!tar -xzvf /content/drive/MyDrive/lfw.tgz"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 14,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "1X2EFr3WiOKo",
+        "outputId": "f332fad9-1f65-4e52-dfc6-49368acd687e"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Removed 5326 folders\n",
+            "Remaining folders: 423\n"
+          ]
+        }
+      ],
+      "source": [
+        "import os\n",
+        "import shutil\n",
+        "count=0\n",
+        "for folder in os.listdir('lfw'):\n",
+        "    if len(os.listdir(f'lfw/{folder}')) < 5:\n",
+        "        shutil.rmtree(f'lfw/{folder}')\n",
+        "        count+=1\n",
+        "print(f\"Removed {count} folders\")\n",
+        "print(f\"Remaining folders: {len(os.listdir('lfw'))}\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "pz1vtNniCGjf"
+      },
+      "source": [
+        "## Downloading Model"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 384,
+          "referenced_widgets": [
+            "05b31ee914704cf6aa23b016e9605fa6",
+            "626e68b358004c4e92eef018313f703f",
+            "0a2e149c631d4c0c9723e3dc20cef824",
+            "3f149795afdc4f72bfd4819c2dd24e7e",
+            "5acf74fda9cd44399872a32f7e797d53",
+            "b77e47d27983498a9d5cc1b8d7a6f0a6",
+            "b37c1463ede74729998741f9ca74b9a0",
+            "09f275e257dc4f35887c189de0d0eeae",
+            "a83437e262784123ad7ab7356de9f4ad",
+            "b831e7f5cb914676b1579fc31e0466f5",
+            "b58b054a34ac4cfdb06561b956329fdb",
+            "91d1a5c7baca43f09729be8b10c0fac9",
+            "a7c63853647c43c9a98fb2c34229c25b",
+            "f32b27d0a22f442484533f98a7de6f42",
+            "e6e30d397e8d462cbfb01d22878b212e",
+            "55654d4205474d72a91581407194d839",
+            "d2ee1ee53b10436e99cd3cc7c6c23c1e",
+            "56026f29dfe44623b29bea01eae5a9f3",
+            "62e3046887594c5a8492daf015dfa1ea",
+            "1941abf3e1414fb0b7651cadee353a7c",
+            "3810d05f97ab46d2a7febde0ff055e2f",
+            "2185e42006c94abaa2d33786851bfa4d",
+            "d61f94c1b2e24bfb8bd491a7ad9869f1",
+            "71679224e9d841d1938df73a32764c47",
+            "476c1471d9fc4c7dad180d3ce7d5a081",
+            "522947b5b08940b789cf05f354272787",
+            "3831c6a3d72c4084ab38e755137d94c9",
+            "38049d813cfc4ef8af57584efa87578b",
+            "60df876c4d8742ff959ea20b8b509cdb",
+            "359b1bc569834267a81037494578c1bd",
+            "7430967a5b0f47e28715bc6d720f946d",
+            "b21c359b208448a298daf97c9371d6ab",
+            "0ceee2cb7916489ea96520ce488598a1",
+            "5e1636ca1090486cad4cf157c618e986",
+            "532a0bbeace044a792951905c6848e75",
+            "0d15f4bdda034d8ab4349fc3ec35eb55",
+            "bc3ef7720305454f9908fc32e48b529c",
+            "b7f0ca5b9f9b42ddb387aeb9271d80b2",
+            "21224c28636a40518f0f4e182080ae2b",
+            "8c5ddf1e3ec0415cb8b699fe967b347a",
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+          ]
+        },
+        "id": "BzMfQwalCGji",
+        "outputId": "73e0b9b9-4580-4ee7-dc47-d3e4c052001a"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
+            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
+            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
+            "You will be able to reuse this secret in all of your notebooks.\n",
+            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
+            "  warnings.warn(\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "05b31ee914704cf6aa23b016e9605fa6",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Fetching 6 files:   0%|          | 0/6 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "91d1a5c7baca43f09729be8b10c0fac9",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "variables/variables.index:   0%|          | 0.00/61.2k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "d61f94c1b2e24bfb8bd491a7ad9869f1",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              ".gitattributes:   0%|          | 0.00/1.59k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "5e1636ca1090486cad4cf157c618e986",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "saved_model.pb:   0%|          | 0.00/18.1M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "1e74eb5ac4c144b9996faecafdb8c77d",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "keras_metadata.pb:   0%|          | 0.00/2.52M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "d9999a65dfac41d1b9fc79fdcfd53bde",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "fingerprint.pb:   0%|          | 0.00/56.0 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "1037e6dd39494d96842994d401595ae7",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "variables.data-00000-of-00001:   0%|          | 0.00/282M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            },
+            "text/plain": [
+              "'/content/model'"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "finetuned_model_dir = \"model\"\n",
+        "\n",
+        "from huggingface_hub import snapshot_download\n",
+        "snapshot_download(repo_id='DnD11/FaceNet_Finetuned', repo_type=\"model\", local_dir=finetuned_model_dir)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mlEhvK1rh_IX"
+      },
+      "source": [
+        "# Evaluation"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 51,
+      "metadata": {
+        "id": "v5_9g5wwh0oi"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "import numpy as np\n",
+        "from tqdm import tqdm_notebook\n",
+        "from keras.models import load_model\n",
+        "from keras.preprocessing import image\n",
+        "from sklearn.metrics.pairwise import euclidean_distances\n",
+        "from deepface import DeepFace\n",
+        "import tensorflow as tf\n",
+        "\n",
+        "# Function to load and preprocess images\n",
+        "def load_and_preprocess_image(img_path, target_size=(160, 160)):\n",
+        "    img = image.load_img(img_path, target_size=target_size)\n",
+        "    img_array = image.img_to_array(img)\n",
+        "    img_array = np.expand_dims(img_array, axis=0)\n",
+        "    img_array /= 255.0\n",
+        "    return img_array\n",
+        "\n",
+        "# Function to generate embeddings\n",
+        "def generate_embeddings(model, dataset_path, deepface = False):\n",
+        "    embeddings = {}\n",
+        "\n",
+        "    for class_name in tqdm_notebook(os.listdir(dataset_path)):\n",
+        "        class_path = os.path.join(dataset_path, class_name)\n",
+        "        if not os.path.isdir(class_path):\n",
+        "            continue\n",
+        "        embeddings[class_name] = []\n",
+        "\n",
+        "        for img_name in os.listdir(class_path):\n",
+        "            img_path = os.path.join(class_path, img_name)\n",
+        "            img_array = load_and_preprocess_image(img_path)\n",
+        "            if deepface:\n",
+        "                embedding = DeepFace.represent(img_path=img_path, model_name = \"Facenet512\", enforce_detection=False, detector_backend=\"skip\")[0]['embedding']\n",
+        "            else:\n",
+        "                embedding = model.predict(img_array)\n",
+        "            embeddings[class_name].append(embedding)\n",
+        "        embeddings[class_name] = np.array(embeddings[class_name])\n",
+        "\n",
+        "\n",
+        "\n",
+        "    return embeddings\n",
+        "\n",
+        "# Function to calculate intra-cluster distances\n",
+        "def calculate_intra_cluster_metrics(embeddings):\n",
+        "    metrics = {}\n",
+        "\n",
+        "    for label, cluster_embeddings in embeddings.items():\n",
+        "        cluster_embeddings = np.squeeze(cluster_embeddings, axis=1)\n",
+        "\n",
+        "        avg_embedding = np.mean(cluster_embeddings, axis=0)\n",
+        "        distances = euclidean_distances(cluster_embeddings, [avg_embedding])\n",
+        "        max_distance = np.max(distances)\n",
+        "        min_distance = np.min(distances)\n",
+        "        variance = np.var(distances)\n",
+        "        standard_deviation = np.std(distances)\n",
+        "        percentile_25 = np.percentile(distances, 25)\n",
+        "        percentile_50 = np.percentile(distances, 50)\n",
+        "        percentile_75 = np.percentile(distances, 75)\n",
+        "\n",
+        "        metrics[label] = {\"center\": avg_embedding, \"max_radius\": max_distance, \"min_radius\":min_distance, \"num_samples\": len(cluster_embeddings), \"variance\": variance, \"standard_deviation\": standard_deviation, \"percentile_25\": percentile_25, \"percentile_50\": percentile_50, \"percentile_75\": percentile_75}\n",
+        "\n",
+        "    return metrics"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!wget https://huggingface.co/DnD11/FaceNet_Finetuned/resolve/main/embedding_trial3.h5"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "jazKxH07kWza",
+        "outputId": "c5163b81-d1ab-44b7-be85-fd8aff4df3e0"
+      },
+      "execution_count": 48,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "--2024-07-20 06:43:23--  https://huggingface.co/DnD11/FaceNet_Finetuned/resolve/main/embedding_trial3.h5\n",
+            "Resolving huggingface.co (huggingface.co)... 18.239.69.83, 18.239.69.50, 18.239.69.31, ...\n",
+            "Connecting to huggingface.co (huggingface.co)|18.239.69.83|:443... connected.\n",
+            "HTTP request sent, awaiting response... 302 Found\n",
+            "Location: https://cdn-lfs-us-1.huggingface.co/repos/03/4f/034f80180b5ba08a0d9fe97aa18e17eb02604e9ba5c3e985eaee5a613e4810f6/2c4295909be34cae21ff3eacd9ae88bc875395030fc4d76fb2865f1e33135177?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27embedding_trial3.h5%3B+filename%3D%22embedding_trial3.h5%22%3B&Expires=1721717003&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMTcxNzAwM319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzAzLzRmLzAzNGY4MDE4MGI1YmEwOGEwZDlmZTk3YWExOGUxN2ViMDI2MDRlOWJhNWMzZTk4NWVhZWU1YTYxM2U0ODEwZjYvMmM0Mjk1OTA5YmUzNGNhZTIxZmYzZWFjZDlhZTg4YmM4NzUzOTUwMzBmYzRkNzZmYjI4NjVmMWUzMzEzNTE3Nz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=ey%7EfqBWw8lOuUYww6KLHaSOBW7NmgO7sJ9X8EUwB%7EGSZokvSjyiM28ZUKQO%7Eo-TUYyi0ICc6gzx-Ir7OFYyoOaTi0U7i6TzCL9Q4MJBQb%7EzOr69A3gOfIg-J8qAxyagjjyqk1qaeNmh2TUJEmeVO1Qv-lUKl22Sd5F8XAH0lA2Z7PXbqxpWOLEJqMFyL9k%7EAjNof5mJrPphH19caK9ykV10NC4RN%7EtAx4ekxSXmLZIVc1v8vxhUwrknlSfQ0kurjoxHlnyB434vvX9D9soUrnFbBug19o650fhADD-rXo0oXZi0SWjyWfoZ4MZRERTtnhQXvoIlFV2OxUIvkjJl4mg__&Key-Pair-Id=K24J24Z295AEI9 [following]\n",
+            "--2024-07-20 06:43:23--  https://cdn-lfs-us-1.huggingface.co/repos/03/4f/034f80180b5ba08a0d9fe97aa18e17eb02604e9ba5c3e985eaee5a613e4810f6/2c4295909be34cae21ff3eacd9ae88bc875395030fc4d76fb2865f1e33135177?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27embedding_trial3.h5%3B+filename%3D%22embedding_trial3.h5%22%3B&Expires=1721717003&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMTcxNzAwM319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzAzLzRmLzAzNGY4MDE4MGI1YmEwOGEwZDlmZTk3YWExOGUxN2ViMDI2MDRlOWJhNWMzZTk4NWVhZWU1YTYxM2U0ODEwZjYvMmM0Mjk1OTA5YmUzNGNhZTIxZmYzZWFjZDlhZTg4YmM4NzUzOTUwMzBmYzRkNzZmYjI4NjVmMWUzMzEzNTE3Nz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=ey%7EfqBWw8lOuUYww6KLHaSOBW7NmgO7sJ9X8EUwB%7EGSZokvSjyiM28ZUKQO%7Eo-TUYyi0ICc6gzx-Ir7OFYyoOaTi0U7i6TzCL9Q4MJBQb%7EzOr69A3gOfIg-J8qAxyagjjyqk1qaeNmh2TUJEmeVO1Qv-lUKl22Sd5F8XAH0lA2Z7PXbqxpWOLEJqMFyL9k%7EAjNof5mJrPphH19caK9ykV10NC4RN%7EtAx4ekxSXmLZIVc1v8vxhUwrknlSfQ0kurjoxHlnyB434vvX9D9soUrnFbBug19o650fhADD-rXo0oXZi0SWjyWfoZ4MZRERTtnhQXvoIlFV2OxUIvkjJl4mg__&Key-Pair-Id=K24J24Z295AEI9\n",
+            "Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 18.239.94.3, 18.239.94.84, 18.239.94.40, ...\n",
+            "Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|18.239.94.3|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 94732576 (90M) [binary/octet-stream]\n",
+            "Saving to: ‘embedding_trial3.h5’\n",
+            "\n",
+            "embedding_trial3.h5 100%[===================>]  90.34M  54.6MB/s    in 1.7s    \n",
+            "\n",
+            "2024-07-20 06:43:25 (54.6 MB/s) - ‘embedding_trial3.h5’ saved [94732576/94732576]\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 49,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000,
+          "referenced_widgets": [
+            "61f4cb6d462345e4895d7c27d6c13b56",
+            "46c306e6724344f2b063656d0270c64d",
+            "08557b0eedc94451857161bf87c168fa",
+            "39a56b83ac3e46f3b4c43c9b10a6bd7a",
+            "691364b4ef1141dbb060f70ff8219f7d",
+            "dcb74213b9304df690148f10a25e894c",
+            "9657e4d50ad0483081737a7613731ed5",
+            "4814fcbc031c43a2b0b13de634d63f24",
+            "40e3e66ef43248a09a0990948efd6e46",
+            "d30a6c5221814f5997e742f15f1405e1",
+            "f8886dd2d1e34f4c8ad238ca83a3365f"
+          ]
+        },
+        "id": "XCtTmUv0iJy1",
+        "outputId": "ea18b443-db75-472c-8926-69d8101ea7b4"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "  0%|          | 0/423 [00:00<?, ?it/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "61f4cb6d462345e4895d7c27d6c13b56"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 31ms/step\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Path to the dataset\n",
+        "dataset_path = 'lfw'\n",
+        "model=tf.keras.models.load_model('/content/embedding_trial3.h5')\n",
+        "# Generate embeddings for the original model\n",
+        "embeddings_original = generate_embeddings(model, dataset_path)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 19,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000,
+          "referenced_widgets": [
+            "00a64b4ea5314bccb09759474d50b522",
+            "ab160914cad6459da642e8edeb9c7147",
+            "ad8933fcf2484969a181c1b5e1f33fe4",
+            "778cc63f3ee34a418bbf31fb9826f284",
+            "f724e59099c746569f4f9a92362a5edf",
+            "d3be755af47b4ca5908aa51fdffe2149",
+            "f198114222f2481ca3005e14313844e6",
+            "be856f34b6e64662a97b98f4629c6068",
+            "970c3d69252f4f0f8f6e76a307a01cf6",
+            "3d9bac658ba9442888e9464b57fa551f",
+            "3361f1363a274662bb683dad5c04484a"
+          ]
+        },
+        "id": "fLYr8we0iJy1",
+        "outputId": "f72bce45-8b70-417d-987c-c34e3779f2fe"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "  0%|          | 0/423 [00:00<?, ?it/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "00a64b4ea5314bccb09759474d50b522"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 33ms/step\n",
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+            "1/1 [==============================] - 0s 34ms/step\n",
+            "1/1 [==============================] - 0s 29ms/step\n",
+            "1/1 [==============================] - 0s 36ms/step\n",
+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 30ms/step\n",
+            "1/1 [==============================] - 0s 28ms/step\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Load the fine-tuned model\n",
+        "import tensorflow as tf\n",
+        "finetuned_model = tf.keras.models.load_model('/content/embedding_trial2.h5')\n",
+        "embeddings_finetuned = generate_embeddings(finetuned_model, dataset_path)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pickle\n",
+        "with open('embeddings_trial3.pkl', 'wb') as f:\n",
+        "    pickle.dump(embeddings_original, f)\n",
+        "with open('embeddings_finetuned.pkl', 'wb') as f:\n",
+        "    pickle.dump(embeddings_finetuned, f)"
+      ],
+      "metadata": {
+        "id": "SVsPGCy1qnT6"
+      },
+      "execution_count": 50,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mlpjNEeRiJy2"
+      },
+      "source": [
+        "## Calculate Metrics"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "embeddings_finetuned[\"Wen_Jiabao\"].shape"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "rQXD7DSwsuSl",
+        "outputId": "d874e86b-76e7-4634-c226-773a2f02171b"
+      },
+      "execution_count": 24,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(13, 1, 512)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 24
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 52,
+      "metadata": {
+        "id": "OuTDI5iqiJy2"
+      },
+      "outputs": [],
+      "source": [
+        "# Calculate intra-cluster distances for both models\n",
+        "metrics_original = calculate_intra_cluster_metrics(embeddings_original)\n",
+        "metrics_finetuned = calculate_intra_cluster_metrics(embeddings_finetuned)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 54,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 927
+        },
+        "id": "Xn4zoiytiJy3",
+        "outputId": "dcae4ea6-1dd6-45cc-a608-c87f00a9421a"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "def plot_histogram(metrics, key, title, xlabel):\n",
+        "    values = [metrics[label][key] for label in metrics]\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_histogram(metrics_original, 'max_radius', 'Histogram of Max Radius (trial3)', 'Max Radius')\n",
+        "plot_histogram(metrics_finetuned, 'max_radius', 'Histogram of Max Radius (trial2)', 'Max Radius')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 55,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 887
+        },
+        "id": "PeTLOsthiJy3",
+        "outputId": "cb8144af-2cf6-4c99-ebb7-d964c4070e49"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "def plot_boxplot(metrics, key, title, ylabel):\n",
+        "    values = [metrics[label][key] for label in metrics]\n",
+        "    plt.figure()\n",
+        "    plt.boxplot(values)\n",
+        "    plt.title(title)\n",
+        "    plt.ylabel(ylabel)\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_boxplot(metrics_original, 'percentile_50', 'Boxplot of Median Distances (trial3)', 'Median Distance')\n",
+        "plot_boxplot(metrics_finetuned, 'percentile_50', 'Boxplot of Median Distances (trial2)', 'Median Distance')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 56,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        },
+        "id": "tx0_WPHWiJy3",
+        "outputId": "be4a3aaf-2167-42a5-9a9b-6a7780002705"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "def plot_histogram(metrics, title, xlabel):\n",
+        "    values = list(metrics.values()) # Extract values from the dictionary\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "def compare_metrics(metrics_original, metrics_finetuned, key):\n",
+        "    changes = {}\n",
+        "    for label in metrics_original:\n",
+        "        if label in metrics_finetuned:\n",
+        "            change = metrics_finetuned[label][key] - metrics_original[label][key]\n",
+        "            changes[label] = change\n",
+        "    return changes\n",
+        "\n",
+        "max_radius_change = compare_metrics(metrics_original, metrics_finetuned, 'max_radius')\n",
+        "plot_histogram(max_radius_change, 'Histogram of Max Radius Change', 'Max Radius Change')\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 57,
+      "metadata": {
+        "id": "UMkNB6xviJy3"
+      },
+      "outputs": [],
+      "source": [
+        "def calculate_inter_cluster_metrics(embeddings):\n",
+        "    centers = {label: metrics['center'] for label, metrics in embeddings.items()}\n",
+        "    labels = list(centers.keys())\n",
+        "    inter_cluster_distances = euclidean_distances(list(centers.values()))\n",
+        "\n",
+        "    metrics = {}\n",
+        "    for i, label1 in enumerate(labels):\n",
+        "        for j, label2 in enumerate(labels):\n",
+        "            if i >= j:\n",
+        "                continue\n",
+        "            distance = inter_cluster_distances[i, j]\n",
+        "            pair = tuple(sorted((label1, label2)))\n",
+        "            metrics[pair] = distance\n",
+        "\n",
+        "    return metrics\n",
+        "\n",
+        "inter_cluster_metrics_original = calculate_inter_cluster_metrics(metrics_original)\n",
+        "inter_cluster_metrics_finetuned = calculate_inter_cluster_metrics(metrics_finetuned)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 58,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        },
+        "id": "K9Und3BkiJy4",
+        "outputId": "2a3a513f-0026-4928-90e9-86b6218f632f"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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UpHGkprw9/y/IfIMGDcLp06cxffp0tGzZEqampsjLy4O7u3uhX+ku7Lybos7FEf933tSrvPgGVFZep8/8fbFt2zbY2NgUmP/im6OhoaHGZSiWLVuG+fPnS/ft7e1x69YtNGrUCABw6dIleHp6vrKPwhS1/3JzczXG3LhxY8THx+PAgQMICQnBnj17sGHDBsyZM0ejt8Lk5eVBoVDg0KFDhe7HF6+LVdhjraTyvwH2sn8QWFlZITY2FocPH8ahQ4dw6NAhbNmyBaNGjcLWrVtfuv60tDR06dIFKpUKCxYsQN26dWFkZIRz587B39+/wPPgdR/v+fLy8mBlZYXt27cXOj//XLLC1KtXDwYGBrh06VKxtimn99J4TXhxnXLkr3vEiBHw8vIqtCb/H56v81gmhibSQZaWlhgzZgzGjBmDjIwMuLi4YN68eVJoKuqNzt7eHkePHsXjx481/mWd/xGBvb299N+8vDwkJCRo/Ov/xo0bsnt89OgRwsLCMH/+fMyZM0eaXpKPFUsifwzXr1+XjqQB/54MmpaWJo21PBX1d8k/cdfKygqurq7FXu+oUaPQqVMn6X5+qOjUqRMsLCzwww8/4L///W+JTga3sLAo9GKUt2/fRp06dTSmmZiYYPDgwRg8eDCysrLQv39/fPnll5g5cyaMjIxeOn4hBBwcHNCgQYNi9/g68r8s4ebm9tI6pVKJPn36oE+fPsjLy8Onn36Kr776Cp9//jnq1atX5NiOHz+Ov//+G3v37tX44kJCQkKJe65bty6ioqKQnZ1d5MncdevWxdGjR9GxY8dih8zKlSuje/fuCA8Px507dzSuYfU6yuI1Qe5rVfXq1VGlShXk5ubKeo696rFMReM5TaRTXvxYytTUFPXq1dO4snH+NXtefLPr3bs3cnNzsW7dOo3pK1euhEKhkL6dk/8GsmHDBo26tWvXyu4z/w36xX8Rrlq1SvY6Xkfv3r0L3d6KFSsA4KXfBCwrRf1d3NzcoFKpsGjRokK/QfngwYOXrrdOnTpwdXWVbvkfI1SuXBn+/v64evUq/P39C/3X+ffff48zZ84Uue66devi999/R1ZWljTtwIEDuHPnjkbdi49LpVIJR0dHCCGkMRU1/v79+0NfXx/z588v0KMQ4pUfxZbUjh078M0338DZ2Rk9evQosu7F7evp6UlHJfKfd0WNrbDnQVZWVoHnVnEMGDAADx8+LPA8fn47gwYNQm5uLhYuXFigJicn55VXZZ87dy6EEBg5cqTGR7/5YmJiXnmU7UVl8Zog97VKX18fAwYMwJ49ewq9vtTzzzE5j2UqGo80kU5xdHRE165d0aZNG1haWuLs2bP46aefMGHCBKmmTZs2AIBJkybBzc0N+vr6GDJkCPr06YNu3bph1qxZuHXrFlq0aIEjR47g559/hq+vr3TEo02bNhgwYABWrVqFv//+W/oa7x9//AFA3kdeKpUKLi4uCAwMRHZ2Nt555x0cOXLktf6FXRwtWrSAl5cXNm3aJH1EcubMGWzduhWenp7o1q1bufTxvJYtW0JfXx9LlixBeno6DA0N0b17d1hZWWHjxo0YOXIkWrdujSFDhqB69epITEzEwYMH0bFjx0LfIOWYPn064uLisHz5chw7dgwDBw6EjY0NkpOTsX//fpw5cwanT58ucvmxY8fip59+gru7OwYNGoSbN2/i+++/lx4r+Xr27AkbGxt07NgR1tbWuHr1KtatWwcPDw/pqGb+43LWrFkYMmQIKlWqhD59+qBu3br44osvMHPmTNy6dQuenp6oUqUKEhISsG/fPowbNw7Tpk0r0fjz/fTTTzA1NUVWVpZ0RfBTp06hRYsW2L1790uXHTt2LFJTU9G9e3fUrFkTt2/fxtq1a9GyZUvpKGZRf9t3330XFhYW8PLywqRJk6BQKLBt27Zif7z0vFGjRuG7776Dn58fzpw5g86dO+PJkyc4evQoPv30U/Tt2xddunTB+PHjERAQgNjYWPTs2ROVKlXC9evXsXv3bqxevRoDBw4schvvvvsu1q9fj08//RSNGjXSuCL48ePH8b///Q9ffPFFsfoui9eE4rxWLV68GMeOHYOTkxM++ugjODo6IjU1FefOncPRo0eRmpoKQN5jmV6iPL+qR2+20ri45RdffCHat28vzM3NhbGxsWjUqJH48ssvRVZWllSTk5MjJk6cKKpXry4UCoXG5QceP34spkyZImxtbUWlSpVE/fr1C7245ZMnT4SPj4+wtLQUpqamwtPTU8THxwsAGpcAeNlXuu/evSv69esnzM3NhZmZmfjggw9EUlJSkZcteHEdRV0KoLD9VJjs7Gwxf/584eDgICpVqiTs7OwKXNzyZdspzMsubllYny9eAPLrr78WderUEfr6+gW+on7s2DHh5uYmzMzMhJGRkahbt64YPXq0OHv2bIl6fd5PP/0kevbsKSwtLYWBgYGoUaOGGDx4sDh+/LjG9l/sSQghli9fLt555x1haGgoOnbsKM6ePVtgbF999ZVwcXERVatWFYaGhqJu3bpi+vTpIj09XWNdCxcuFO+8847Q09MrcPmBPXv2iE6dOgkTExNhYmIiGjVqJHx8fER8fLzGPi3O18FfvKimkZGRqFmzpnj//ffFt99+W+CxIETBSw7k77v8CyLWqlVLjB8/Xty7d09juaL+tqdOnRIdOnSQLlY5Y8YMcfjw4QL7uqixFXaxzadPn4pZs2ZJj20bGxsxcOBAcfPmTY26TZs2iTZt2ghjY2NRpUoV0axZMzFjxgyRlJQka//FxMSIYcOGSa8XFhYWokePHmLr1q0iNzdXCKF5ccsXvfhcf93XhPzX0OcfN3Jfq4QQIiUlRfj4+Ag7Oztpv/Xo0UNs2rRJqpH7WKbCKYR4jX8SEL1BYmNj0apVK3z//fcYPny4ttshIioUX6u0h+c00Vvpn3/+KTBt1apV0NPTe+WVuImIygtfq3QLz2mit1JgYCBiYmLQrVs3GBgYSF+1HjduXKl9m4aI6HXxtUq38OM5eiuFhoZi/vz5uHLlCjIyMlCrVi2MHDkSs2bNeulF9YiIyhNfq3QLQxMRERGRDDyniYiIiEgGhiYiIiIiGfiBaCnJy8tDUlISqlSpUm6/B0ZERESvRwiBx48fw9bWVuN3LwvD0FRKkpKS+E0GIiKiCurOnTuoWbPmS2sYmkpJ/uXn79y5A5VKpeVuiIiISA61Wg07OztZPyPD0FRK8j+SU6lUDE1EREQVjJxTa3giOBEREZEMDE1EREREMjA0EREREcnA0EREREQkA0MTERERkQwMTUREREQyMDQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJANDExEREZEMDE1EREREMjA0EREREclgoO0GiIhKk3dwdJmsd/PodmWyXiKqOHikiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZGBoIiIiIpKBoYmIiIhIBoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSwUDbDRDR28c7OFrbLRARFZtWjzRFRESgT58+sLW1hUKhwP79+wvUXL16Ff/5z39gZmYGExMTtGvXDomJidL8Z8+ewcfHB1WrVoWpqSkGDBiAlJQUjXUkJibCw8MDlStXhpWVFaZPn46cnByNmuPHj6N169YwNDREvXr1EBwcXBZDJiIiogpKq6HpyZMnaNGiBdavX1/o/Js3b6JTp05o1KgRjh8/josXL+Lzzz+HkZGRVDNlyhT88ssv2L17N06cOIGkpCT0799fmp+bmwsPDw9kZWXh9OnT2Lp1K4KDgzFnzhypJiEhAR4eHujWrRtiY2Ph6+uLsWPH4vDhw2U3eCIiIqpQFEIIoe0mAEChUGDfvn3w9PSUpg0ZMgSVKlXCtm3bCl0mPT0d1atXx44dOzBw4EAAwLVr19C4cWNERkaiQ4cOOHToEN5//30kJSXB2toaABAUFAR/f388ePAASqUS/v7+OHjwIC5fvqyx7bS0NISEhMjqX61Ww8zMDOnp6VCpVCXcC0Rvh4r48dzm0e203QIRlYHivH/r7IngeXl5OHjwIBo0aAA3NzdYWVnByclJ4yO8mJgYZGdnw9XVVZrWqFEj1KpVC5GRkQCAyMhINGvWTApMAODm5ga1Wo24uDip5vl15Nfkr6MwmZmZUKvVGjciIiJ6c+lsaLp//z4yMjKwePFiuLu748iRI+jXrx/69++PEydOAACSk5OhVCphbm6usay1tTWSk5OlmucDU/78/Hkvq1Gr1fjnn38K7S8gIABmZmbSzc7O7rXHTERERLpLZ0NTXl4eAKBv376YMmUKWrZsic8++wzvv/8+goKCtNwdMHPmTKSnp0u3O3fuaLslIiIiKkM6G5qqVasGAwMDODo6akxv3Lix9O05GxsbZGVlIS0tTaMmJSUFNjY2Us2L36bLv/+qGpVKBWNj40L7MzQ0hEql0rgRERHRm0tnQ5NSqUS7du0QHx+vMf2PP/6Avb09AKBNmzaoVKkSwsLCpPnx8fFITEyEs7MzAMDZ2RmXLl3C/fv3pZrQ0FCoVCopkDk7O2usI78mfx1EREREWr24ZUZGBm7cuCHdT0hIQGxsLCwtLVGrVi1Mnz4dgwcPhouLC7p164aQkBD88ssvOH78OADAzMwM3t7e8PPzg6WlJVQqFSZOnAhnZ2d06NABANCzZ084Ojpi5MiRCAwMRHJyMmbPng0fHx8YGhoCAD7++GOsW7cOM2bMwIcffojw8HDs2rULBw8eLPd9QkRERLpJq6Hp7Nmz6Natm3Tfz88PAODl5YXg4GD069cPQUFBCAgIwKRJk9CwYUPs2bMHnTp1kpZZuXIl9PT0MGDAAGRmZsLNzQ0bNmyQ5uvr6+PAgQP45JNP4OzsDBMTE3h5eWHBggVSjYODAw4ePIgpU6Zg9erVqFmzJr755hu4ubmVw14gIiKiikBnrtNU0fE6TUTy8TpNRKQr3ojrNBERERHpEoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZGBoIiIiIpKBoYmIiIhIBoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZGBoIiIiIpKBoYmIiIhIBoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGbQamiIiItCnTx/Y2tpCoVBg//79RdZ+/PHHUCgUWLVqlcb01NRUDB8+HCqVCubm5vD29kZGRoZGzcWLF9G5c2cYGRnBzs4OgYGBBda/e/duNGrUCEZGRmjWrBl+/fXX0hgiERERvSG0GpqePHmCFi1aYP369S+t27dvH37//XfY2toWmDd8+HDExcUhNDQUBw4cQEREBMaNGyfNV6vV6NmzJ+zt7RETE4OlS5di3rx52LRpk1Rz+vRpDB06FN7e3jh//jw8PT3h6emJy5cvl95giYiIqEJTCCGEtpsAAIVCgX379sHT01Nj+l9//QUnJyccPnwYHh4e8PX1ha+vLwDg6tWrcHR0RHR0NNq2bQsACAkJQe/evXH37l3Y2tpi48aNmDVrFpKTk6FUKgEAn332Gfbv349r164BAAYPHownT57gwIED0nY7dOiAli1bIigoSFb/arUaZmZmSE9Ph0qles29QfRm8w6O1nYLxbZ5dDttt0BEZaA47986fU5TXl4eRo4cienTp6NJkyYF5kdGRsLc3FwKTADg6uoKPT09REVFSTUuLi5SYAIANzc3xMfH49GjR1KNq6urxrrd3NwQGRlZZG+ZmZlQq9UaNyIiInpz6XRoWrJkCQwMDDBp0qRC5ycnJ8PKykpjmoGBASwtLZGcnCzVWFtba9Tk339VTf78wgQEBMDMzEy62dnZFW9wREREVKHobGiKiYnB6tWrERwcDIVCoe12Cpg5cybS09Ol2507d7TdEhEREZUhnQ1NJ0+exP3791GrVi0YGBjAwMAAt2/fxtSpU1G7dm0AgI2NDe7fv6+xXE5ODlJTU2FjYyPVpKSkaNTk339VTf78whgaGkKlUmnciIiI6M2ls6Fp5MiRuHjxImJjY6Wbra0tpk+fjsOHDwMAnJ2dkZaWhpiYGGm58PBw5OXlwcnJSaqJiIhAdna2VBMaGoqGDRvCwsJCqgkLC9PYfmhoKJydnct6mERERFRBGGhz4xkZGbhx44Z0PyEhAbGxsbC0tEStWrVQtWpVjfpKlSrBxsYGDRs2BAA0btwY7u7u+OijjxAUFITs7GxMmDABQ4YMkS5PMGzYMMyfPx/e3t7w9/fH5cuXsXr1aqxcuVJa7+TJk9GlSxcsX74cHh4e2LlzJ86ePatxWQIiIiJ6u2n1SNPZs2fRqlUrtGrVCgDg5+eHVq1aYc6cObLXsX37djRq1Ag9evRA79690alTJ42wY2ZmhiNHjiAhIQFt2rTB1KlTMWfOHI1rOb377rvYsWMHNm3ahBYtWuCnn37C/v370bRp09IbLBEREVVoOnOdpoqO12kiko/XaSIiXfHGXKeJiIiISFdo9ZwmIqKKoiyPjvEoFlHFwCNNRERERDIwNBERERHJwNBEREREJANDExEREZEMDE1EREREMjA0EREREcnA0EREREQkA0MTERERkQwMTUREREQyMDQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJANDExEREZEMDE1EREREMjA0EREREcnA0EREREQkA0MTERERkQwMTUREREQyMDQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJANDExEREZEMWg1NERER6NOnD2xtbaFQKLB//35pXnZ2Nvz9/dGsWTOYmJjA1tYWo0aNQlJSksY6UlNTMXz4cKhUKpibm8Pb2xsZGRkaNRcvXkTnzp1hZGQEOzs7BAYGFuhl9+7daNSoEYyMjNCsWTP8+uuvZTJmIiIiqpi0GpqePHmCFi1aYP369QXmPX36FOfOncPnn3+Oc+fOYe/evYiPj8d//vMfjbrhw4cjLi4OoaGhOHDgACIiIjBu3DhpvlqtRs+ePWFvb4+YmBgsXboU8+bNw6ZNm6Sa06dPY+jQofD29sb58+fh6ekJT09PXL58uewGT0RERBWKQgghtN0EACgUCuzbtw+enp5F1kRHR6N9+/a4ffs2atWqhatXr8LR0RHR0dFo27YtACAkJAS9e/fG3bt3YWtri40bN2LWrFlITk6GUqkEAHz22WfYv38/rl27BgAYPHgwnjx5ggMHDkjb6tChA1q2bImgoCBZ/avVapiZmSE9PR0qlaqEe4Ho7eAdHK3tFnTK5tHttN0C0VurOO/fFeqcpvT0dCgUCpibmwMAIiMjYW5uLgUmAHB1dYWenh6ioqKkGhcXFykwAYCbmxvi4+Px6NEjqcbV1VVjW25uboiMjCyyl8zMTKjVao0bERERvbkMtN2AXM+ePYO/vz+GDh0qJcHk5GRYWVlp1BkYGMDS0hLJyclSjYODg0aNtbW1NM/CwgLJycnStOdr8tdRmICAAMyfP/+1x0Wky3hEiIjo/6sQR5qys7MxaNAgCCGwceNGbbcDAJg5cybS09Ol2507d7TdEhEREZUhnT/SlB+Ybt++jfDwcI3PG21sbHD//n2N+pycHKSmpsLGxkaqSUlJ0ajJv/+qmvz5hTE0NIShoWHJB0ZEREQVik4facoPTNevX8fRo0dRtWpVjfnOzs5IS0tDTEyMNC08PBx5eXlwcnKSaiIiIpCdnS3VhIaGomHDhrCwsJBqwsLCNNYdGhoKZ2fnshoaERERVTBaDU0ZGRmIjY1FbGwsACAhIQGxsbFITExEdnY2Bg4ciLNnz2L79u3Izc1FcnIykpOTkZWVBQBo3Lgx3N3d8dFHH+HMmTM4deoUJkyYgCFDhsDW1hYAMGzYMCiVSnh7eyMuLg4//vgjVq9eDT8/P6mPyZMnIyQkBMuXL8e1a9cwb948nD17FhMmTCj3fUJERES6SauXHDh+/Di6detWYLqXlxfmzZtX4ATufMeOHUPXrl0B/HtxywkTJuCXX36Bnp4eBgwYgDVr1sDU1FSqv3jxInx8fBAdHY1q1aph4sSJ8Pf311jn7t27MXv2bNy6dQv169dHYGAgevfuLXssvOQAvYl4Inj54CUHiLSnOO/fOnOdpoqOoYneRAxN5YOhiUh73tjrNBERERFpC0MTERERkQwMTUREREQyMDQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJANDExEREZEMDE1EREREMjA0EREREcnA0EREREQkA0MTERERkQwMTUREREQyMDQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJANDExEREZEMDE1EREREMpQoNP3555+l3QcRERGRTitRaKpXrx66deuG77//Hs+ePSvtnoiIiIh0TolC07lz59C8eXP4+fnBxsYG48ePx5kzZ0q7NyIiIiKdUaLQ1LJlS6xevRpJSUn49ttvce/ePXTq1AlNmzbFihUr8ODBg9Luk4iIiEirXutEcAMDA/Tv3x+7d+/GkiVLcOPGDUybNg12dnYYNWoU7t27V1p9EhEREWnVa4Wms2fP4tNPP0WNGjWwYsUKTJs2DTdv3kRoaCiSkpLQt2/f0uqTiIiISKsMSrLQihUrsGXLFsTHx6N379747rvv0Lt3b+jp/ZvBHBwcEBwcjNq1a5dmr0RERERaU6IjTRs3bsSwYcNw+/Zt7N+/H++//74UmPJZWVlh8+bNL11PREQE+vTpA1tbWygUCuzfv19jvhACc+bMQY0aNWBsbAxXV1dcv35doyY1NRXDhw+HSqWCubk5vL29kZGRoVFz8eJFdO7cGUZGRrCzs0NgYGCBXnbv3o1GjRrByMgIzZo1w6+//lqMPUJERERvuhKFpuvXr2PmzJmoUaNGkTVKpRJeXl4vXc+TJ0/QokULrF+/vtD5gYGBWLNmDYKCghAVFQUTExO4ublpXOZg+PDhiIuLQ2hoKA4cOICIiAiMGzdOmq9Wq9GzZ0/Y29sjJiYGS5cuxbx587Bp0yap5vTp0xg6dCi8vb1x/vx5eHp6wtPTE5cvX5a7S4iIiOgNpxBCiOIutGXLFpiamuKDDz7QmL579248ffr0lWGp0EYUCuzbtw+enp4A/j3KZGtri6lTp2LatGkAgPT0dFhbWyM4OBhDhgzB1atX4ejoiOjoaLRt2xYAEBISgt69e+Pu3buwtbXFxo0bMWvWLCQnJ0OpVAIAPvvsM+zfvx/Xrl0DAAwePBhPnjzBgQMHpH46dOiAli1bIigoSFb/arUaZmZmSE9Ph0qlKvb4iXSRd3C0tlt4K2we3U7bLRC9tYrz/l2iI00BAQGoVq1agelWVlZYtGhRSVZZQEJCApKTk+Hq6ipNMzMzg5OTEyIjIwEAkZGRMDc3lwITALi6ukJPTw9RUVFSjYuLixSYAMDNzQ3x8fF49OiRVPP8dvJr8rdDREREVKITwRMTE+Hg4FBgur29PRITE1+7KQBITk4GAFhbW2tMt7a2luYlJyfDyspKY76BgQEsLS01al7sNX+dycnJsLCwQHJy8ku3U5jMzExkZmZK99VqdXGGR0RERBVMiY40WVlZ4eLFiwWmX7hwAVWrVn3tpiqCgIAAmJmZSTc7Ozttt0RERERlqEShaejQoZg0aRKOHTuG3Nxc5ObmIjw8HJMnT8aQIUNKpTEbGxsAQEpKisb0lJQUaZ6NjQ3u37+vMT8nJwepqakaNYWt4/ltFFWTP78wM2fORHp6unS7c+dOcYdIREREFUiJQtPChQvh5OSEHj16wNjYGMbGxujZsye6d+9eauc0OTg4wMbGBmFhYdI0tVqNqKgoODs7AwCcnZ2RlpaGmJgYqSY8PBx5eXlwcnKSaiIiIpCdnS3VhIaGomHDhrCwsJBqnt9Ofk3+dgpjaGgIlUqlcSMiIqI3V4nOaVIqlfjxxx+xcOFCXLhwAcbGxmjWrBns7e2LtZ6MjAzcuHFDup+QkIDY2FhYWlqiVq1a8PX1xRdffIH69evDwcEBn3/+OWxtbaVv2DVu3Bju7u746KOPEBQUhOzsbEyYMAFDhgyBra0tAGDYsGGYP38+vL294e/vj8uXL2P16tVYuXKltN3JkyejS5cuWL58OTw8PLBz506cPXtW47IERERE9HYr0SUHSsvx48fRrVu3AtO9vLwQHBwMIQTmzp2LTZs2IS0tDZ06dcKGDRvQoEEDqTY1NRUTJkzAL7/8Aj09PQwYMABr1qyBqampVHPx4kX4+PggOjoa1apVw8SJE+Hv76+xzd27d2P27Nm4desW6tevj8DAQPTu3Vv2WHjJAXoT8ZID5YOXHCDSnuK8f5coNOXm5iI4OBhhYWG4f/8+8vLyNOaHh4cXd5UVHkMTvYkYmsoHQxOR9hTn/btEH89NnjwZwcHB8PDwQNOmTaFQKErUKBEREVFFUaLQtHPnTuzatatYH18RERERVWQl+vacUqlEvXr1SrsXIiIiIp1VotA0depUrF69Glo8h5yIiIioXJXo47nffvsNx44dw6FDh9CkSRNUqlRJY/7evXtLpTkiIiIiXVGi0GRubo5+/fqVdi9EREREOqtEoWnLli2l3QcRERGRTivROU3Av7/xdvToUXz11Vd4/PgxACApKQkZGRml1hwRERGRrijRkabbt2/D3d0diYmJyMzMxHvvvYcqVapgyZIlyMzMRFBQUGn3SURERKRVJTrSNHnyZLRt2xaPHj2CsbGxNL1fv34FfviWiIiI6E1QoiNNJ0+exOnTp6FUKjWm165dG3/99VepNEZERESkS0p0pCkvLw+5ubkFpt+9exdVqlR57aaIiIiIdE2JQlPPnj2xatUq6b5CoUBGRgbmzp3Ln1YhIiKiN1KJPp5bvnw53Nzc4OjoiGfPnmHYsGG4fv06qlWrhh9++KG0eyQiIiLSuhKFppo1a+LChQvYuXMnLl68iIyMDHh7e2P48OEaJ4YTERERvSlKFJoAwMDAACNGjCjNXoiIiIh0VolC03fffffS+aNGjSpRM0REbyPv4OgyWe/m0e3KZL1Eb6sShabJkydr3M/OzsbTp0+hVCpRuXJlhiYiIiJ645To23OPHj3SuGVkZCA+Ph6dOnXiieBERET0Rirxb8+9qH79+li8eHGBo1BEREREb4JSC03AvyeHJyUlleYqiYiIiHRCic5p+t///qdxXwiBe/fuYd26dejYsWOpNEZERESkS0oUmjw9PTXuKxQKVK9eHd27d8fy5ctLoy8iIiIinVKi0JSXl1fafRARERHptFI9p4mIiIjoTVWiI01+fn6ya1esWFGSTRARERHplBKFpvPnz+P8+fPIzs5Gw4YNAQB//PEH9PX10bp1a6lOoVCUTpdEREREWlai0NSnTx9UqVIFW7duhYWFBYB/L3g5ZswYdO7cGVOnTi3VJomIiIi0rUTnNC1fvhwBAQFSYAIACwsLfPHFF/z2HBEREb2RShSa1Go1Hjx4UGD6gwcP8Pjx49duioiIiEjXlCg09evXD2PGjMHevXtx9+5d3L17F3v27IG3tzf69+9f2j0SERERaV2JQlNQUBB69eqFYcOGwd7eHvb29hg2bBjc3d2xYcOGUmsuNzcXn3/+ORwcHGBsbIy6deti4cKFEEJINUIIzJkzBzVq1ICxsTFcXV1x/fp1jfWkpqZi+PDhUKlUMDc3h7e3NzIyMjRqLl68iM6dO8PIyAh2dnYIDAwstXEQERFRxVei0FS5cmVs2LABf//9t/RNutTUVGzYsAEmJial1tySJUuwceNGrFu3DlevXsWSJUsQGBiItWvXSjWBgYFYs2YNgoKCEBUVBRMTE7i5ueHZs2dSzfDhwxEXF4fQ0FAcOHAAERERGDdunDRfrVajZ8+esLe3R0xMDJYuXYp58+Zh06ZNpTYWIiIiqthK9O25fPfu3cO9e/fg4uICY2NjCCFK9TIDp0+fRt++feHh4QEAqF27Nn744QecOXMGwL9HmVatWoXZs2ejb9++AIDvvvsO1tbW2L9/P4YMGYKrV68iJCQE0dHRaNu2LQBg7dq16N27N5YtWwZbW1ts374dWVlZ+Pbbb6FUKtGkSRPExsZixYoVGuGKiIiI3l4lOtL0999/o0ePHmjQoAF69+6Ne/fuAQC8vb1L9XID7777LsLCwvDHH38AAC5cuIDffvsNvXr1AgAkJCQgOTkZrq6u0jJmZmZwcnJCZGQkACAyMhLm5uZSYAIAV1dX6OnpISoqSqpxcXGBUqmUatzc3BAfH49Hjx4V2ltmZibUarXGjYiIiN5cJQpNU6ZMQaVKlZCYmIjKlStL0wcPHoyQkJBSa+6zzz7DkCFD0KhRI1SqVAmtWrWCr68vhg8fDgBITk4GAFhbW2ssZ21tLc1LTk6GlZWVxnwDAwNYWlpq1BS2jue38aKAgACYmZlJNzs7u9ccLREREemyEoWmI0eOYMmSJahZs6bG9Pr16+P27dul0hgA7Nq1C9u3b8eOHTtw7tw5bN26FcuWLcPWrVtLbRslNXPmTKSnp0u3O3fuaLslIiIiKkMlOqfpyZMnGkeY8qWmpsLQ0PC1m8o3ffp06WgTADRr1gy3b99GQEAAvLy8YGNjAwBISUlBjRo1pOVSUlLQsmVLAICNjQ3u37+vsd6cnBykpqZKy9vY2CAlJUWjJv9+fs2LDA0NS3WsREREpNtKdKSpc+fO+O6776T7CoUCeXl5CAwMRLdu3UqtuadPn0JPT7NFfX195OXlAQAcHBxgY2ODsLAwab5arUZUVBScnZ0BAM7OzkhLS0NMTIxUEx4ejry8PDg5OUk1ERERyM7OlmpCQ0PRsGFDjaueExER0durREeaAgMD0aNHD5w9exZZWVmYMWMG4uLikJqailOnTpVac3369MGXX36JWrVqoUmTJjh//jxWrFiBDz/8EMC/Yc3X1xdffPEF6tevDwcHB3z++eewtbWFp6cnAKBx48Zwd3fHRx99hKCgIGRnZ2PChAkYMmQIbG1tAQDDhg3D/Pnz4e3tDX9/f1y+fBmrV6/GypUrS20sREREVLGVKDQ1bdoUf/zxB9atW4cqVaogIyMD/fv3h4+Pj8bHZK9r7dq1+Pzzz/Hpp5/i/v37sLW1xfjx4zFnzhypZsaMGXjy5AnGjRuHtLQ0dOrUCSEhITAyMpJqtm/fjgkTJqBHjx7Q09PDgAEDsGbNGmm+mZkZjhw5Ah8fH7Rp0wbVqlXDnDlzeLkBIiIikijE85fXliE7Oxvu7u4ICgpC/fr1y6qvCketVsPMzAzp6elQqVTaboeoVHgHR2u7BXoNm0e303YLRDqvOO/fxT6nqVKlSrh48WKJmyMiIiKqiEp0IviIESOwefPm0u6FiIiISGeV6JymnJwcfPvttzh69CjatGlT4PfmVqxYUSrNEREREemKYoWmP//8E7Vr18bly5fRunVrAJB+4iRfaf72HBEREZGuKFZoql+/Pu7du4djx44B+PdnU9asWVPgJ0iIiIiI3jTFOqfpxS/aHTp0CE+ePCnVhoiIiIh0UYlOBM9XzKsVEBEREVVYxQpNCoWiwDlLPIeJiIiI3gbFOqdJCIHRo0dLP1T77NkzfPzxxwW+Pbd3797S65CIiIhIBxQrNHl5eWncHzFiRKk2Q0RERKSrihWatmzZUlZ9EBEREem01zoRnIiIiOhtwdBEREREJANDExEREZEMDE1EREREMpToB3uJSHd4B0druwUiorcCjzQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJANDExEREZEMDE1EREREMjA0EREREcnA0EREREQkA0MTERERkQwMTUREREQyMDQRERERycDQRERERCSDzoemv/76CyNGjEDVqlVhbGyMZs2a4ezZs9J8IQTmzJmDGjVqwNjYGK6urrh+/brGOlJTUzF8+HCoVCqYm5vD29sbGRkZGjUXL15E586dYWRkBDs7OwQGBpbL+IiIiKhi0OnQ9OjRI3Ts2BGVKlXCoUOHcOXKFSxfvhwWFhZSTWBgINasWYOgoCBERUXBxMQEbm5uePbsmVQzfPhwxMXFITQ0FAcOHEBERATGjRsnzVer1ejZsyfs7e0RExODpUuXYt68edi0aVO5jpeIiIh0l0IIIbTdRFE+++wznDp1CidPnix0vhACtra2mDp1KqZNmwYASE9Ph7W1NYKDgzFkyBBcvXoVjo6OiI6ORtu2bQEAISEh6N27N+7evQtbW1ts3LgRs2bNQnJyMpRKpbTt/fv349q1a7J6VavVMDMzQ3p6OlQqVSmMnkge7+BobbdAOmrz6HbaboFI5xXn/VunjzT973//Q9u2bfHBBx/AysoKrVq1wtdffy3NT0hIQHJyMlxdXaVpZmZmcHJyQmRkJAAgMjIS5ubmUmACAFdXV+jp6SEqKkqqcXFxkQITALi5uSE+Ph6PHj0qtLfMzEyo1WqNGxEREb25dDo0/fnnn9i4cSPq16+Pw4cP45NPPsGkSZOwdetWAEBycjIAwNraWmM5a2traV5ycjKsrKw05hsYGMDS0lKjprB1PL+NFwUEBMDMzEy62dnZveZoiYiISJfpdGjKy8tD69atsWjRIrRq1Qrjxo3DRx99hKCgIG23hpkzZyI9PV263blzR9stERERURnS6dBUo0YNODo6akxr3LgxEhMTAQA2NjYAgJSUFI2alJQUaZ6NjQ3u37+vMT8nJwepqakaNYWt4/ltvMjQ0BAqlUrjRkRERG8unQ5NHTt2RHx8vMa0P/74A/b29gAABwcH2NjYICwsTJqvVqsRFRUFZ2dnAICzszPS0tIQExMj1YSHhyMvLw9OTk5STUREBLKzs6Wa0NBQNGzYUOObekRERPT20unQNGXKFPz+++9YtGgRbty4gR07dmDTpk3w8fEBACgUCvj6+uKLL77A//73P1y6dAmjRo2Cra0tPD09Afx7ZMrd3R0fffQRzpw5g1OnTmHChAkYMmQIbG1tAQDDhg2DUqmEt7c34uLi8OOPP2L16tXw8/PT1tCJiIhIxxhou4GXadeuHfbt24eZM2diwYIFcHBwwKpVqzB8+HCpZsaMGXjy5AnGjRuHtLQ0dOrUCSEhITAyMpJqtm/fjgkTJqBHjx7Q09PDgAEDsGbNGmm+mZkZjhw5Ah8fH7Rp0wbVqlXDnDlzNK7lRERERG83nb5OU0XC6zSRtvA6TVQUXqeJ6NXemOs0EREREekKhiYiIiIiGRiaiIiIiGRgaCIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZGBoIiIiIpKBoYmIiIhIBoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSwUDbDRARUdnwDo4us3VvHt2uzNZNpKt4pImIiIhIBoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZGBoIiIiIpKBoYmIiIhIhgoVmhYvXgyFQgFfX19p2rNnz+Dj44OqVavC1NQUAwYMQEpKisZyiYmJ8PDwQOXKlWFlZYXp06cjJydHo+b48eNo3bo1DA0NUa9ePQQHB5fDiIiIiKiiqDChKTo6Gl999RWaN2+uMX3KlCn45ZdfsHv3bpw4cQJJSUno37+/ND83NxceHh7IysrC6dOnsXXrVgQHB2POnDlSTUJCAjw8PNCtWzfExsbC19cXY8eOxeHDh8ttfERERKTbKkRoysjIwPDhw/H111/DwsJCmp6eno7NmzdjxYoV6N69O9q0aYMtW7bg9OnT+P333wEAR44cwZUrV/D999+jZcuW6NWrFxYuXIj169cjKysLABAUFAQHBwcsX74cjRs3xoQJEzBw4ECsXLlSK+MlIiIi3VMhQpOPjw88PDzg6uqqMT0mJgbZ2dka0xs1aoRatWohMjISABAZGYlmzZrB2tpaqnFzc4NarUZcXJxU8+K63dzcpHUUJjMzE2q1WuNGREREby4DbTfwKjt37sS5c+cQHR1dYF5ycjKUSiXMzc01pltbWyM5OVmqeT4w5c/Pn/eyGrVajX/++QfGxsYFth0QEID58+eXeFxERERUsej0kaY7d+5g8uTJ2L59O4yMjLTdjoaZM2ciPT1dut25c0fbLREREVEZ0unQFBMTg/v376N169YwMDCAgYEBTpw4gTVr1sDAwADW1tbIyspCWlqaxnIpKSmwsbEBANjY2BT4Nl3+/VfVqFSqQo8yAYChoSFUKpXGjYiIiN5cOh2aevTogUuXLiE2Nla6tW3bFsOHD5f+v1KlSggLC5OWiY+PR2JiIpydnQEAzs7OuHTpEu7fvy/VhIaGQqVSwdHRUap5fh35NfnrICIiItLpc5qqVKmCpk2bakwzMTFB1apVpene3t7w8/ODpaUlVCoVJk6cCGdnZ3To0AEA0LNnTzg6OmLkyJEIDAxEcnIyZs+eDR8fHxgaGgIAPv74Y6xbtw4zZszAhx9+iPDwcOzatQsHDx4s3wETERGRztLp0CTHypUroaenhwEDBiAzMxNubm7YsGGDNF9fXx8HDhzAJ598AmdnZ5iYmMDLywsLFiyQahwcHHDw4EFMmTIFq1evRs2aNfHNN9/Azc1NG0MiIiIiHaQQQghtN/EmUKvVMDMzQ3p6Os9vonLlHVzwm6VEZW3z6HbaboGoVBTn/Vunz2kiIiIi0hUMTUREREQyMDQRERERycDQRERERCRDhf/2HFFFwRO2iYgqNh5pIiIiIpKBoYmIiIhIBoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZGBoIiIiIpKBoYmIiIhIBoYmIiIiIhkYmoiIiIhkYGgiIiIikoGhiYiIiEgGhiYiIiIiGRiaiIiIiGRgaCIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZDDQdgNERFTxeAdHl8l6N49uVybrJSoNOn+kKSAgAO3atUOVKlVgZWUFT09PxMfHa9Q8e/YMPj4+qFq1KkxNTTFgwACkpKRo1CQmJsLDwwOVK1eGlZUVpk+fjpycHI2a48ePo3Xr1jA0NES9evUQHBxc1sMjIiKiCkLnQ9OJEyfg4+OD33//HaGhocjOzkbPnj3x5MkTqWbKlCn45ZdfsHv3bpw4cQJJSUno37+/ND83NxceHh7IysrC6dOnsXXrVgQHB2POnDlSTUJCAjw8PNCtWzfExsbC19cXY8eOxeHDh8t1vERERKSbFEIIoe0miuPBgwewsrLCiRMn4OLigvT0dFSvXh07duzAwIEDAQDXrl1D48aNERkZiQ4dOuDQoUN4//33kZSUBGtrawBAUFAQ/P398eDBAyiVSvj7++PgwYO4fPmytK0hQ4YgLS0NISEhr+xLrVbDzMwM6enpUKlUZTN4qtDK6uMMojcJP56j8lac92+dP9L0ovT0dACApaUlACAmJgbZ2dlwdXWVaho1aoRatWohMjISABAZGYlmzZpJgQkA3NzcoFarERcXJ9U8v478mvx1vCgzMxNqtVrjRkRERG+uChWa8vLy4Ovri44dO6Jp06YAgOTkZCiVSpibm2vUWltbIzk5Wap5PjDlz8+f97IatVqNf/75p0AvAQEBMDMzk252dnalMkYiIiLSTRUqNPn4+ODy5cvYuXOntlvBzJkzkZ6eLt3u3Lmj7ZaIiIioDFWYSw5MmDABBw4cQEREBGrWrClNt7GxQVZWFtLS0jSONqWkpMDGxkaqOXPmjMb68r9d93zNi9+4S0lJgUqlgrGxcYF+DA0NYWhoWCpjIyIiIt2n80eahBCYMGEC9u3bh/DwcDg4OGjMb9OmDSpVqoSwsDBpWnx8PBITE+Hs7AwAcHZ2xqVLl3D//n2pJjQ0FCqVCo6OjlLN8+vIr8lfBxEREb3ddP5Ik4+PD3bs2IGff/4ZVapUkc5BMjMzg7GxMczMzODt7Q0/Pz9YWlpCpVJh4sSJcHZ2RocOHQAAPXv2hKOjI0aOHInAwEAkJydj9uzZ8PHxkY4Wffzxx1i3bh1mzJiBDz/8EOHh4di1axcOHjyotbETERGR7tD5I00bN25Eeno6unbtiho1aki3H3/8UapZuXIl3n//fQwYMAAuLi6wsbHB3r17pfn6+vo4cOAA9PX14ezsjBEjRmDUqFFYsGCBVOPg4ICDBw8iNDQULVq0wPLly/HNN9/Azc2tXMdLREREuqnCXadJV/E6TfQqvE4T0avxOk1U3t7o6zQRERERaQNDExEREZEMDE1EREREMjA0EREREcnA0EREREQkg85fp4moPPEbbkREVBQeaSIiIiKSgaGJiIiISAaGJiIiIiIZGJqIiIiIZGBoIiIiIpKBoYmIiIhIBoYmIiIiIhkYmoiIiIhk4MUtiYhIZ5TlBWY3j25XZuumtwOPNBERERHJwNBEREREJANDExEREZEMDE1EREREMjA0EREREcnA0EREREQkA0MTERERkQwMTUREREQy8OKWVOGU5cXviIiIisIjTUREREQyMDQRERERycDQRERERCQDz2kiIqK3An8MmF4XjzQRERERycDQRERERCQDQ9ML1q9fj9q1a8PIyAhOTk44c+aMtlsiIiIiHcBzmp7z448/ws/PD0FBQXBycsKqVavg5uaG+Ph4WFlZabu9CofXUyIiojeJQgghtN2ErnByckK7du2wbt06AEBeXh7s7OwwceJEfPbZZy9dVq1Ww8zMDOnp6VCpVOXRrs5jaCIiej08wbzsFef9mx/P/Z+srCzExMTA1dVVmqanpwdXV1dERkZqsTMiIiLSBfx47v88fPgQubm5sLa21phubW2Na9euFajPzMxEZmamdD89PR3Av4m1IvHZHqPtFoiIqAgjNx7TdgvFtn54G223UCz579tyPnhjaCqhgIAAzJ8/v8B0Ozs7LXRDRESkG77/VNsdlMzjx49hZmb20hqGpv9TrVo16OvrIyUlRWN6SkoKbGxsCtTPnDkTfn5+0v28vDykpqaiatWqUCgUZd6vrlCr1bCzs8OdO3d4LtdLcD/Jw/0kH/eVPNxP8rzN+0kIgcePH8PW1vaVtQxN/0epVKJNmzYICwuDp6cngH+DUFhYGCZMmFCg3tDQEIaGhhrTzM3Ny6FT3aRSqd66J1pJcD/Jw/0kH/eVPNxP8ryt++lVR5jyMTQ9x8/PD15eXmjbti3at2+PVatW4cmTJxgzZoy2WyMiIiItY2h6zuDBg/HgwQPMmTMHycnJaNmyJUJCQgqcHE5ERERvH4amF0yYMKHQj+OocIaGhpg7d26BjypJE/eTPNxP8nFfycP9JA/3kzy8uCURERGRDLy4JREREZEMDE1EREREMjA0EREREcnA0EREREQkA0MTFUtqaiqGDx8OlUoFc3NzeHt7IyMj46X1EydORMOGDWFsbIxatWph0qRJ0m/1vcmKu68AYNOmTejatStUKhUUCgXS0tLKp9lytH79etSuXRtGRkZwcnLCmTNnXlq/e/duNGrUCEZGRmjWrBl+/fXXcupU+4qzr+Li4jBgwADUrl0bCoUCq1atKr9Gtaw4++nrr79G586dYWFhAQsLC7i6ur7yMfimKM5+2rt3L9q2bQtzc3OYmJigZcuW2LZtWzl2q5sYmqhYhg8fjri4OISGhuLAgQOIiIjAuHHjiqxPSkpCUlISli1bhsuXLyM4OBghISHw9vYux661o7j7CgCePn0Kd3d3/Pe//y2nLsvXjz/+CD8/P8ydOxfnzp1DixYt4Obmhvv37xdaf/r0aQwdOhTe3t44f/48PD094enpicuXL5dz5+WvuPvq6dOnqFOnDhYvXlzoTz+9qYq7n44fP46hQ4fi2LFjiIyMhJ2dHXr27Im//vqrnDsvX8XdT5aWlpg1axYiIyNx8eJFjBkzBmPGjMHhw4fLuXMdI4hkunLligAgoqOjpWmHDh0SCoVC/PXXX7LXs2vXLqFUKkV2dnZZtKkTXndfHTt2TAAQjx49KsMuy1/79u2Fj4+PdD83N1fY2tqKgICAQusHDRokPDw8NKY5OTmJ8ePHl2mfuqC4++p59vb2YuXKlWXYne54nf0khBA5OTmiSpUqYuvWrWXVok543f0khBCtWrUSs2fPLov2KgweaSLZIiMjYW5ujrZt20rTXF1doaenh6ioKNnrSU9Ph0qlgoHBm3tt1dLaV2+SrKwsxMTEwNXVVZqmp6cHV1dXREZGFrpMZGSkRj0AuLm5FVn/pijJvnoblcZ+evr0KbKzs2FpaVlWbWrd6+4nIQTCwsIQHx8PFxeXsmxV5zE0kWzJycmwsrLSmGZgYABLS0skJyfLWsfDhw+xcOHCV35MVdGVxr560zx8+BC5ubkFfpbI2tq6yH2SnJxcrPo3RUn21duoNPaTv78/bG1tC4TzN0lJ91N6ejpMTU2hVCrh4eGBtWvX4r333ivrdnUaQxPhs88+g0KheOnt2rVrr70dtVoNDw8PODo6Yt68ea/fuBaU174iorK3ePFi7Ny5E/v27YORkZG229E5VapUQWxsLKKjo/Hll1/Cz88Px48f13ZbWvXmfj5Csk2dOhWjR49+aU2dOnVgY2NT4KTBnJwcpKamvvLE08ePH8Pd3R1VqlTBvn37UKlSpddtWyvKY1+9qapVqwZ9fX2kpKRoTE9JSSlyn9jY2BSr/k1Rkn31Nnqd/bRs2TIsXrwYR48eRfPmzcuyTa0r6X7S09NDvXr1AAAtW7bE1atXERAQgK5du5ZluzqNR5oI1atXR6NGjV56UyqVcHZ2RlpaGmJiYqRlw8PDkZeXBycnpyLXr1ar0bNnTyiVSvzvf/+r0P+iK+t99SZTKpVo06YNwsLCpGl5eXkICwuDs7Nzocs4Oztr1ANAaGhokfVvipLsq7dRSfdTYGAgFi5ciJCQEI3zDt9UpfV4ysvLQ2ZmZlm0WHFo+0x0qljc3d1Fq1atRFRUlPjtt99E/fr1xdChQ6X5d+/eFQ0bNhRRUVFCCCHS09OFk5OTaNasmbhx44a4d++edMvJydHWMMpFcfeVEELcu3dPnD9/Xnz99dcCgIiIiBDnz58Xf//9tzaGUOp27twpDA0NRXBwsLhy5YoYN26cMDc3F8nJyUIIIUaOHCk+++wzqf7UqVPCwMBALFu2TFy9elXMnTtXVKpUSVy6dElbQyg3xd1XmZmZ4vz58+L8+fOiRo0aYtq0aeL8+fPi+vXr2hpCuSjuflq8eLFQKpXip59+0ng9evz4sbaGUC6Ku58WLVokjhw5Im7evCmuXLkili1bJgwMDMTXX3+trSHoBIYmKpa///5bDB06VJiamgqVSiXGjBmj8WKTkJAgAIhjx44JIf7/V+cLuyUkJGhnEOWkuPtKCCHmzp1b6L7asmVL+Q+gjKxdu1bUqlVLKJVK0b59e/H7779L87p06SK8vLw06nft2iUaNGgglEqlaNKkiTh48GA5d6w9xdlX+Y+nF29dunQp/8bLWXH2k729faH7ae7cueXfeDkrzn6aNWuWqFevnjAyMhIWFhbC2dlZ7Ny5Uwtd6xaFEEKU33EtIiIiooqJ5zQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJANDExEREZEMDE1E9NrmzZuHli1baruNMlG7dm2sWrVK221oTdeuXeHr66vtNoh0AkMTkQ4ZPXo0PD09i7WMQqHA/v37y6SffHv27EHXrl1hZmYGU1NTNG/eHAsWLEBqamqZbK+s36jnzZsHhUIBhUIBAwMDVKtWDS4uLli1alWB39aKjo7GuHHjZK23ogWsrKwsBAYGokWLFqhcuTKqVauGjh07YsuWLcjOztZ2e0Q6h6GJiACgyDfJWbNmYfDgwWjXrh0OHTqEy5cvY/ny5bhw4QK2bdtWzl0WT1ZWVpHzmjRpgnv37iExMRHHjh3DBx98gICAALz77rt4/PixVFe9enVUrly5PNotV1lZWXBzc8PixYsxbtw4nD59GmfOnIGPjw/Wrl2LuLg4bbdIpHu0/TsuRPT/eXl5ib59+0r3u3TpIiZOnCimT58uLCwshLW1tcZvZL34O1r29vbSvP3794tWrVoJQ0ND4eDgIObNmyeys7Ol+QDEhg0bRJ8+fUTlypUL/e2tqKgoAUCsWrWq0H4fPXokhPj3N/NatGih0ffkyZM1avv27avx21br168X9erVE4aGhsLKykoMGDBA2gco4ncKL126JNzd3YWJiYmwsrISI0aMEA8ePNDYro+Pj5g8ebKoWrWq6Nq1a6F9v9hvvqtXrwqlUilmzZolTbO3txcrV64UQgiRl5cn5s6dK+zs7IRSqRQ1atQQEydOlLb9Yt9CCPHw4UMxZMgQYWtrK4yNjUXTpk3Fjh07NLb7qr9z/r4eN26csLKyEoaGhqJJkybil19+keafPHlSdOrUSRgZGYmaNWuKiRMnioyMjELHL4QQS5YsEXp6euLcuXMF5mVlZUnLyult+fLlomnTpqJy5cqiZs2a4pNPPtH4ncUtW7YIMzMzERISIho1aiRMTEyEm5ubSEpKkmqys7PFxIkThZmZmbC0tBQzZswQo0aN0ng+5ObmikWLFonatWsLIyMj0bx5c7F79+4ix0hU2nikiUjHbd26FSYmJoiKikJgYCAWLFiA0NBQAP9+dAQAW7Zswb1796T7J0+exKhRozB58mRcuXIFX331FYKDg/Hll19qrHvevHno168fLl26hA8//LDAtrdv3w5TU1N8+umnhfZmbm5eojGdPXsWkyZNwoIFCxAfH4+QkBC4uLgAAFavXg1nZ2d89NFHuHfvHu7duwc7OzukpaWhe/fuaNWqFc6ePYuQkBCkpKRg0KBBBfaXUqnEqVOnEBQUVKy+GjVqhF69emHv3r2Fzt+zZw9WrlyJr776CtevX8f+/fvRrFkzAMDevXtRs2ZNLFiwQOobAJ49e4Y2bdrg4MGDuHz5MsaNG4eRI0fizJkzBfou6u+cl5eHXr164dSpU/j+++9x5coVLF68GPr6+gCAmzdvwt3dHQMGDMDFixfx448/4rfffsOECROKHOv27dvh6uqKVq1aFZhXqVIlmJiYyOoNAPT09LBmzRrExcVh69atCA8Px4wZMzTW+fTpUyxbtgzbtm1DREQEEhMTMW3aNGn+kiVLsH37dmzZsgWnTp2CWq0u8LFzQEAAvvvuOwQFBSEuLg5TpkzBiBEjcOLEiSLHSVSqtJ3aiOj/K+xIU6dOnTRq2rVrJ/z9/aX7AMS+ffs0anr06CEWLVqkMW3btm2iRo0aGsv5+vq+tJ9evXqJ5s2bv7Lv4h5p2rNnj1CpVEKtVhe6vsKWX7hwoejZs6fGtDt37ggAIj4+XlquVatWxe73ef7+/sLY2Fi6//yRpuXLl4sGDRqIrKysQpd9vvZlPDw8xNSpU6X7r/o7Hz58WOjp6UnjfJG3t7cYN26cxrSTJ08KPT098c8//xS6jLGxsZg0adIre5XzGHzR7t27RdWqVaX7W7ZsEQDEjRs3pGnr168X1tbW0n1ra2uxdOlS6X5OTo6oVauW9Hx49uyZqFy5sjh9+rTGtry9vcXQoUNfOQ6i0mCg3chGRK/SvHlzjfs1atTA/fv3X7rMhQsXcOrUKY0jS7m5uXj27BmePn0qnaPTtm1baX6vXr1w8uRJAIC9vT3i4uIghCitYWh47733YG9vjzp16sDd3R3u7u7o16/fS88dunDhAo4dOwZTU9MC827evIkGDRoAANq0afNavQkhoFAoCp33wQcfYNWqVVLfvXv3Rp8+fWBgUPRLaW5uLhYtWoRdu3bhr7/+QlZWFjIzMwuM9WV/59jYWNSsWVMa44suXLiAixcvYvv27RrjyMvLQ0JCAho3blzoOOV61WPw6NGjCAgIwLVr16BWq5GTk1PgsVa5cmXUrVu30HWkp6cjJSUF7du3l+br6+ujTZs2yMvLAwDcuHEDT58+xXvvvafRS1ZWVqFHy4jKAkMTkY6rVKmSxn2FQiG9kRQlIyMD8+fPR//+/QvMMzIykv7/+Y9gvvnmG/zzzz8a22zQoAF+++03ZGdnF+jjZfT09Aq8KT9/onmVKlVw7tw5HD9+HEeOHMGcOXMwb948REdHF/mRX0ZGBvr06YMlS5YUmFejRo1Cx1QSV69ehYODQ6Hz7OzsEB8fj6NHjyI0NBSffvopli5dihMnThS5f5YuXYrVq1dj1apVaNasGUxMTODr61vgJPWX/Z2NjY1f2nNGRgbGjx+PSZMmFZhXq1atQpdp0KABrl279tL1yunt1q1beP/99/HJJ5/gyy+/hKWlJX777Td4e3sjKytLCk2FraM4wS0jIwMAcPDgQbzzzjsa8wwNDWWvh+h18JwmogquUqVKyM3N1ZjWunVrxMfHo169egVuenqFP+3feecdqcbe3h4AMGzYMGRkZGDDhg2FLpOWllbo9OrVq0vn9AD/Hm25fPmyRo2BgQFcXV0RGBiIixcv4tatWwgPDwcAKJXKQscUFxeH2rVrFxjT6walfNeuXUNISAgGDBhQZI2xsTH69OmDNWvW4Pjx44iMjMSlS5eK7PvUqVPo27cvRowYgRYtWqBOnTr4448/itVX8+bNcffu3SKXa926Na5cuVLo31upVBa6zLBhw3D06FGcP3++wLzs7Gw8efJEVm8xMTHIy8vD8uXL0aFDBzRo0ABJSUnyBwfAzMwM1tbW0jl5wL+PmXPnzkn3HR0dYWhoiMTExAJjtLOzK9b2iEqKoYmogqtduzbCwsKQnJyMR48eAQDmzJmD7777DvPnz0dcXByuXr2KnTt3Yvbs2cVat5OTE2bMmIGpU6dixowZiIyMxO3btxEWFoYPPvgAW7duLXS57t274+DBgzh48CCuXbuGTz75RCNgHThwAGvWrEFsbCxu376N7777Dnl5eWjYsKE0pqioKNy6dQsPHz5EXl4efHx8kJqaiqFDhyI6Oho3b97E4cOHMWbMmAJBRY6cnBwkJycjKSkJly5dwtq1a9GlSxe0bNkS06dPL3SZ4OBgbN68GZcvX8aff/6J77//HsbGxlLIrF27NiIiIvDXX3/h4cOHAID69esjNDQUp0+fxtWrVzF+/HikpKQUq9cuXbrAxcUFAwYMQGhoKBISEnDo0CGEhIQAAPz9/XH69GlMmDABsbGxuH79On7++eeXngju6+uLjh07okePHli/fj0uXLiAP//8E7t27UKHDh1w/fp1Wb3Vq1cP2dnZWLt2Lf78809s27at2CfgA8DEiRMREBCAn3/+GfHx8Zg8eTIePXokfVRapUoVTJs2DVOmTMHWrVtx8+ZNnDt3DmvXri3ycUhU2hiaiCq45cuXIzQ0FHZ2dtK5HW5ubjhw4ACOHDmCdu3aoUOHDli5cqX05l4cS5YswY4dOxAVFQU3Nzc0adIEfn5+aN68Oby8vApd5sMPP4SXlxdGjRqFLl26oE6dOujWrZs039zcHHv37kX37t3RuHFjBAUF4YcffkCTJk0AANOmTYO+vj4cHR1RvXp1JCYmwtbWFqdOnUJubi569uyJZs2awdfXF+bm5kUePXuZuLg41KhRA7Vq1ULXrl2xa9cuzJw5EydPniz0vKn8vr/++mt07NgRzZs3x9GjR/HLL7+gatWqAIAFCxbg1q1bqFu3LqpXrw4AmD17Nlq3bg03Nzd07doVNjY2xb6AKfDvN/fatWuHoUOHwtHRETNmzJDCYvPmzXHixAn88ccf6Ny5M1q1aoU5c+bA1ta2yPUZGhoiNDQUM2bMwFdffYUOHTqgXbt2WLNmDSZNmoSmTZvK6qtFixZYsWIFlixZgqZNm2L79u0ICAgo9vj8/f0xdOhQjBo1Cs7OzjA1NYWbm5vGx8kLFy7E559/joCAADRu3Bju7u44ePBgkR+nEpU2hSirMz2JiIhKKC8vD40bN8agQYOwcOFCbbdDBIAnghMRkQ64ffs2jhw5gi5duiAzMxPr1q1DQkIChg0bpu3WiCT8eI6IiLROT08PwcHBaNeuHTp27IhLly7h6NGjhV4ugUhb+PEcERERkQw80kREREQkA0MTERERkQwMTUREREQyMDQRERERycDQRERERCQDQxMRERGRDAxNRERERDIwNBERERHJwNBEREREJMP/A1kL/6NWiT3pAAAAAElFTkSuQmCC\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "def compare_inter_cluster_metrics(metrics_original, metrics_finetuned):\n",
+        "    changes = {}\n",
+        "    for pair in metrics_original:\n",
+        "        if pair in metrics_finetuned:\n",
+        "            change = metrics_finetuned[pair] - metrics_original[pair]\n",
+        "            changes[pair] = change\n",
+        "    return changes\n",
+        "\n",
+        "inter_cluster_distance_change = compare_inter_cluster_metrics(inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n",
+        "\n",
+        "def plot_inter_cluster_changes(inter_cluster_distance_change, title, xlabel):\n",
+        "    values = list(inter_cluster_distance_change.values())\n",
+        "    plt.figure()\n",
+        "    plt.hist(values, bins=20, alpha=0.7)\n",
+        "    plt.title(title)\n",
+        "    plt.xlabel(xlabel)\n",
+        "    plt.ylabel('Frequency')\n",
+        "    plt.show()\n",
+        "\n",
+        "plot_inter_cluster_changes(inter_cluster_distance_change, 'Histogram of Inter-Cluster Distance Changes', 'Inter-Cluster Distance Change')\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "QforM1ZSiJy4"
+      },
+      "source": [
+        "## Impact on faces"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 59,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "EmxEp0iDiJy4",
+        "outputId": "9ad75c66-35e9-4846-a737-b756a01674c8"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Positively Impacted Faces: 24584\n",
+            "Negatively Impacted Faces: 54711\n",
+            "Averagely Impacted Faces: 10804\n"
+          ]
+        }
+      ],
+      "source": [
+        "def classify_impact(intra_metrics_original, intra_metrics_finetuned, inter_metrics_original, inter_metrics_finetuned):\n",
+        "    impact = {\n",
+        "        'positively_impacted': [],\n",
+        "        'negatively_impacted': [],\n",
+        "        'averagely_impacted': []\n",
+        "    }\n",
+        "\n",
+        "    # Define thresholds for considering a change as significant\n",
+        "    threshold = 0.01  # You can adjust this value based on your needs\n",
+        "\n",
+        "    # Classify intra-cluster metric changes\n",
+        "    for label in intra_metrics_original:\n",
+        "        if label in intra_metrics_finetuned:\n",
+        "            max_radius_change = intra_metrics_finetuned[label]['max_radius'] - intra_metrics_original[label]['max_radius']\n",
+        "            if max_radius_change < -threshold:\n",
+        "                impact['positively_impacted'].append((label, 'max_radius'))\n",
+        "            elif max_radius_change > threshold:\n",
+        "                impact['negatively_impacted'].append((label, 'max_radius'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((label, 'max_radius'))\n",
+        "\n",
+        "            # Add other metrics here if needed\n",
+        "            # Example: variance, standard_deviation, etc.\n",
+        "            variance_change = intra_metrics_finetuned[label]['variance'] - intra_metrics_original[label]['variance']\n",
+        "            if variance_change < -threshold:\n",
+        "                impact['positively_impacted'].append((label, 'variance'))\n",
+        "            elif variance_change > threshold:\n",
+        "                impact['negatively_impacted'].append((label, 'variance'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((label, 'variance'))\n",
+        "\n",
+        "    # Classify inter-cluster metric changes\n",
+        "    for pair in inter_metrics_original:\n",
+        "        if pair in inter_metrics_finetuned:\n",
+        "            distance_change = inter_metrics_finetuned[pair] - inter_metrics_original[pair]\n",
+        "            if distance_change < -threshold:\n",
+        "                impact['positively_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "            elif distance_change > threshold:\n",
+        "                impact['negatively_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "            else:\n",
+        "                impact['averagely_impacted'].append((pair, 'inter_cluster_distance'))\n",
+        "\n",
+        "    return impact\n",
+        "\n",
+        "# Assuming metrics_original and metrics_finetuned are dictionaries containing the calculated metrics\n",
+        "impact = classify_impact(metrics_original, metrics_finetuned, inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n",
+        "\n",
+        "# Print the impact classification\n",
+        "print(f\"Positively Impacted Faces: {len(impact['positively_impacted'])}\")\n",
+        "print(f\"Negatively Impacted Faces: {len(impact['negatively_impacted'])}\")\n",
+        "print(f\"Averagely Impacted Faces: {len(impact['averagely_impacted'])}\")\n",
+        "\n",
+        "# Optional: Print detailed impact for each face\n",
+        "# for category, changes in impact.items():\n",
+        "#     print(f\"\\n{category.capitalize()} Faces:\")\n",
+        "#     for change in changes:\n",
+        "#         print(change)\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "gpuType": "T4",
+      "provenance": [],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
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diff --git a/Model-Training/eval-mark-I.py b/Model-Training/eval-mark-I.py
new file mode 100644
index 0000000..17d9aa0
--- /dev/null
+++ b/Model-Training/eval-mark-I.py
@@ -0,0 +1,78 @@
+import os
+import numpy as np
+from keras.models import load_model
+from keras.preprocessing import image
+from sklearn.metrics.pairwise import euclidean_distances
+
+# Function to load and preprocess images
+def load_and_preprocess_image(img_path, target_size=(160, 160)):
+    img = image.load_img(img_path, target_size=target_size)
+    img_array = image.img_to_array(img)
+    img_array = np.expand_dims(img_array, axis=0)
+    img_array /= 255.0
+    return img_array
+
+# Function to generate embeddings
+def generate_embeddings(model, dataset_path):
+    embeddings = []
+    labels = []
+    
+    for class_name in os.listdir(dataset_path):
+        class_path = os.path.join(dataset_path, class_name)
+        if not os.path.isdir(class_path):
+            continue
+        
+        for img_name in os.listdir(class_path):
+            img_path = os.path.join(class_path, img_name)
+            img_array = load_and_preprocess_image(img_path)
+            embedding = model.predict(img_array)
+            embeddings.append(embedding[0])
+            labels.append(class_name)
+    
+    embeddings = np.array(embeddings)
+    labels = np.array(labels)
+    return embeddings, labels
+
+# Function to calculate intra-cluster distances
+def calculate_intra_cluster_distances(embeddings, labels):
+    unique_labels = np.unique(labels)
+    distances = []
+
+    for label in unique_labels:
+        cluster_embeddings = embeddings[labels == label]
+        avg_embedding = np.mean(cluster_embeddings, axis=0)
+        max_distance = np.max(euclidean_distances(cluster_embeddings, [avg_embedding]))
+        distances.append(max_distance)
+    
+    return np.array(distances)
+
+# Load the pre-trained FaceNet model (replace 'facenet_model.h5' with your model file)
+model_path = 'facenet_model.h5'
+model = load_model(model_path)
+
+# Path to the dataset
+dataset_path = 'path_to_your_dataset'
+
+# Generate embeddings for the original model
+embeddings_original, labels = generate_embeddings(model, dataset_path)
+
+# Load the fine-tuned model (replace 'facenet_model_finetuned.h5' with your fine-tuned model file)
+finetuned_model_path = 'facenet_model_finetuned.h5'
+finetuned_model = load_model(finetuned_model_path)
+
+# Generate embeddings for the fine-tuned model
+embeddings_finetuned, _ = generate_embeddings(finetuned_model, dataset_path)
+
+# Calculate intra-cluster distances for both models
+intra_distances_original = calculate_intra_cluster_distances(embeddings_original, labels)
+intra_distances_finetuned = calculate_intra_cluster_distances(embeddings_finetuned, labels)
+
+# Compare intra-cluster distances
+intra_distance_change = intra_distances_finetuned - intra_distances_original
+
+# Output the results
+print(f"Intra-Cluster Distance Change: {intra_distance_change}")
+print(f"Mean Distance Change: {np.mean(intra_distance_change)}")
+print(f"Positive Impact: {np.sum(intra_distance_change < 0)}")
+print(f"Negative Impact: {np.sum(intra_distance_change > 0)}")
+print(f"Average Impact: {np.sum(intra_distance_change == 0)}")
diff --git a/Model-Training/facerec_indianfaces_comapred.ipynb b/Model-Training/facerec_indianfaces_comapred.ipynb
new file mode 100644
index 0000000..cda7cca
--- /dev/null
+++ b/Model-Training/facerec_indianfaces_comapred.ipynb
@@ -0,0 +1 @@
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installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current 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install deepface","metadata":{"execution":{"iopub.status.busy":"2024-07-21T14:22:00.754819Z","iopub.execute_input":"2024-07-21T14:22:00.755356Z","iopub.status.idle":"2024-07-21T14:22:20.307083Z","shell.execute_reply.started":"2024-07-21T14:22:00.755325Z","shell.execute_reply":"2024-07-21T14:22:20.305955Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"Collecting deepface\n  Downloading deepface-0.0.92-py3-none-any.whl.metadata (27 kB)\nRequirement already satisfied: requests>=2.27.1 in /opt/conda/lib/python3.10/site-packages (from deepface) (2.32.3)\nRequirement already satisfied: numpy>=1.14.0 in /opt/conda/lib/python3.10/site-packages (from deepface) (1.26.4)\nRequirement already satisfied: pandas>=0.23.4 in /opt/conda/lib/python3.10/site-packages (from deepface) (2.2.2)\nCollecting gdown>=3.10.1 (from deepface)\n  Downloading gdown-5.2.0-py3-none-any.whl.metadata (5.8 kB)\nRequirement already satisfied: tqdm>=4.30.0 in 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/opt/conda/lib/python3.10/site-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (1.2.0)\nRequirement already satisfied: markdown>=2.6.8 in /opt/conda/lib/python3.10/site-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.5.2)\nRequirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /opt/conda/lib/python3.10/site-packages (from tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (0.7.2)\nRequirement already satisfied: soupsieve>1.2 in /opt/conda/lib/python3.10/site-packages (from beautifulsoup4->gdown>=3.10.1->deepface) (2.5)\nRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.10/site-packages (from packaging->gunicorn>=20.1.0->deepface) (3.1.1)\nRequirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /opt/conda/lib/python3.10/site-packages (from requests[socks]->gdown>=3.10.1->deepface) (1.7.1)\nRequirement already satisfied: cachetools<6.0,>=2.0.0 in /opt/conda/lib/python3.10/site-packages (from 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requests-oauthlib>=0.7.0->google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow>=1.9.0->deepface) (3.2.2)\nRequirement already satisfied: markdown-it-py>=2.2.0 in /opt/conda/lib/python3.10/site-packages (from rich->keras>=2.2.0->deepface) (3.0.0)\nRequirement already satisfied: pygments<3.0.0,>=2.13.0 in /opt/conda/lib/python3.10/site-packages (from rich->keras>=2.2.0->deepface) (2.17.2)\nRequirement already satisfied: mdurl~=0.1 in /opt/conda/lib/python3.10/site-packages (from markdown-it-py>=2.2.0->rich->keras>=2.2.0->deepface) (0.1.2)\nDownloading deepface-0.0.92-py3-none-any.whl (105 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.5/105.5 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading gdown-5.2.0-py3-none-any.whl (18 kB)\nDownloading gunicorn-22.0.0-py3-none-any.whl (84 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.4/84.4 kB\u001b[0m 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fire\nInstalling collected packages: keras, fire, mtcnn, gunicorn, gdown, retina-face, deepface\n  Attempting uninstall: keras\n    Found existing installation: keras 3.4.1\n    Uninstalling keras-3.4.1:\n      Successfully uninstalled keras-3.4.1\n\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\ntensorflow-decision-forests 1.8.1 requires wurlitzer, which is not installed.\u001b[0m\u001b[31m\n\u001b[0mSuccessfully installed deepface-0.0.92 fire-0.6.0 gdown-5.2.0 gunicorn-22.0.0 keras-2.15.0 mtcnn-0.1.1 retina-face-0.0.17\n","output_type":"stream"}]},{"cell_type":"code","source":"\nimport os\nimport shutil\ncount=0\npath = \"/kaggle/input/indian-faces-image-classification/Image_Train\"\nfor folder in os.listdir(path):\n    if len(os.listdir(f'{path}/{folder}')) < 5:\n        shutil.rmtree(f'{path}/{folder}')\n        count+=1\nprint(f\"Removed {count} folders\")\nprint(f\"Remaining folders: {len(os.listdir(path))}\")","metadata":{"execution":{"iopub.status.busy":"2024-07-21T14:23:25.750583Z","iopub.execute_input":"2024-07-21T14:23:25.751326Z","iopub.status.idle":"2024-07-21T14:23:25.768627Z","shell.execute_reply.started":"2024-07-21T14:23:25.751291Z","shell.execute_reply":"2024-07-21T14:23:25.767752Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"Removed 0 folders\nRemaining folders: 16\n","output_type":"stream"}]},{"cell_type":"code","source":"import os\nimport numpy as np\nfrom tqdm import tqdm_notebook\nfrom keras.models import load_model\nfrom keras.preprocessing import image\nfrom sklearn.metrics.pairwise import euclidean_distances\nfrom deepface import DeepFace\nimport tensorflow as tf\nimport cv2\n\n# Function to load and preprocess images\ndef load_and_preprocess_image(img_path, target_size=(160, 160), extract=False):\n    \n    if extract:\n        img_array = DeepFace.extract_faces(img_path, enforce_detection=False)[0]['face']\n        img_array = cv2.resize(img_array, target_size, interpolation=cv2.INTER_AREA)\n    else:\n        img = image.load_img(img_path, target_size=target_size)\n        img_array = image.img_to_array(img)\n    img_array = np.expand_dims(img_array, axis=0)\n    img_array /= 255.0\n    return img_array\n\n# Function to generate embeddings\ndef generate_embeddings(model, dataset_path, deepface = False):\n    embeddings = {}\n\n    for class_name in tqdm_notebook(os.listdir(dataset_path)):\n        class_path = os.path.join(dataset_path, class_name)\n        if not os.path.isdir(class_path):\n            continue\n        embeddings[class_name] = []\n\n        for img_name in os.listdir(class_path):\n            img_path = os.path.join(class_path, img_name)\n            img_array = load_and_preprocess_image(img_path, extract=True)\n            if deepface:\n                embedding = DeepFace.represent(img_path=img_path, model_name = \"Facenet512\", enforce_detection=False)[0]['embedding']\n            else:\n                embedding = model.predict(img_array, verbose=0)\n            embeddings[class_name].append(embedding)\n        embeddings[class_name] = np.array(embeddings[class_name])\n\n\n\n    return embeddings\n\n# Function to calculate intra-cluster distances\ndef calculate_intra_cluster_metrics(embeddings):\n    metrics = {}\n\n    for label, cluster_embeddings in embeddings.items():\n        cluster_embeddings = np.squeeze(cluster_embeddings, axis=1)\n\n        avg_embedding = np.mean(cluster_embeddings, axis=0)\n        distances = euclidean_distances(cluster_embeddings, [avg_embedding])\n        max_distance = np.max(distances)\n        min_distance = np.min(distances)\n        variance = np.var(distances)\n        standard_deviation = np.std(distances)\n        percentile_25 = np.percentile(distances, 25)\n        percentile_50 = np.percentile(distances, 50)\n        percentile_75 = np.percentile(distances, 75)\n\n        metrics[label] = {\"center\": avg_embedding, \"max_radius\": max_distance, \"min_radius\":min_distance, \"num_samples\": len(cluster_embeddings), \"variance\": variance, \"standard_deviation\": standard_deviation, \"percentile_25\": percentile_25, \"percentile_50\": percentile_50, \"percentile_75\": percentile_75}\n\n    return metrics","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:21:43.42234Z","iopub.execute_input":"2024-07-21T15:21:43.422726Z","iopub.status.idle":"2024-07-21T15:21:43.438046Z","shell.execute_reply.started":"2024-07-21T15:21:43.422694Z","shell.execute_reply":"2024-07-21T15:21:43.437048Z"},"trusted":true},"execution_count":23,"outputs":[]},{"cell_type":"code","source":"\n# Path to the dataset\ndataset_path = '/kaggle/input/indian-faces-image-classification/Image_Train'\nmodel=1\n# Generate embeddings for the original model\nembeddings_original = generate_embeddings(model, dataset_path, True)","metadata":{"execution":{"iopub.status.busy":"2024-07-21T14:26:08.023908Z","iopub.execute_input":"2024-07-21T14:26:08.02536Z","iopub.status.idle":"2024-07-21T14:27:30.271108Z","shell.execute_reply.started":"2024-07-21T14:26:08.02532Z","shell.execute_reply":"2024-07-21T14:27:30.270199Z"},"trusted":true},"execution_count":5,"outputs":[{"output_type":"display_data","data":{"text/plain":"  0%|          | 0/16 [00:00<?, ?it/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"097befe6ba5a4b5a85a9aa172798b153"}},"metadata":{}},{"name":"stdout","text":"24-07-21 14:26:11 - facenet512_weights.h5 will be downloaded...\n","output_type":"stream"},{"name":"stderr","text":"Downloading...\nFrom: https://github.com/serengil/deepface_models/releases/download/v1.0/facenet512_weights.h5\nTo: /root/.deepface/weights/facenet512_weights.h5\n\n  0%|          | 0.00/95.0M [00:00<?, ?B/s]\u001b[A\n 30%|███       | 28.8M/95.0M [00:00<00:00, 288MB/s]\u001b[A\n100%|██████████| 95.0M/95.0M [00:00<00:00, 419MB/s]\u001b[A\n","output_type":"stream"}]},{"cell_type":"code","source":"!wget https://huggingface.co/DnD11/FaceNet_Finetuned/resolve/main/embedding_trial2.h5","metadata":{"execution":{"iopub.status.busy":"2024-07-21T14:27:30.272586Z","iopub.execute_input":"2024-07-21T14:27:30.272858Z","iopub.status.idle":"2024-07-21T14:27:32.899872Z","shell.execute_reply.started":"2024-07-21T14:27:30.272834Z","shell.execute_reply":"2024-07-21T14:27:32.89895Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"--2024-07-21 14:27:31--  https://huggingface.co/DnD11/FaceNet_Finetuned/resolve/main/embedding_trial2.h5\nResolving huggingface.co (huggingface.co)... 3.163.189.37, 3.163.189.90, 3.163.189.74, ...\nConnecting to huggingface.co (huggingface.co)|3.163.189.37|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://cdn-lfs-us-1.huggingface.co/repos/03/4f/034f80180b5ba08a0d9fe97aa18e17eb02604e9ba5c3e985eaee5a613e4810f6/901871f1a8502c1e168ce190908e8c5658f350ab7f0626932ab6cea57f67c9be?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27embedding_trial2.h5%3B+filename%3D%22embedding_trial2.h5%22%3B&Expires=1721831251&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMTgzMTI1MX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzAzLzRmLzAzNGY4MDE4MGI1YmEwOGEwZDlmZTk3YWExOGUxN2ViMDI2MDRlOWJhNWMzZTk4NWVhZWU1YTYxM2U0ODEwZjYvOTAxODcxZjFhODUwMmMxZTE2OGNlMTkwOTA4ZThjNTY1OGYzNTBhYjdmMDYyNjkzMmFiNmNlYTU3ZjY3YzliZT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=RTUO6SbNNSXWV-dqp2ebxeqNu3rJtAcDkjCw8-nx-UsES2HpeguoWe9DeH4hZhn6FaOqOydMOUFGVSy%7Eqpie9ZjoGxuwQmarElPqpV6rpS5x6etU10K%7EBRTF8Z1FncWo2yokyR5v56sQKAcfDZcUPTtqbPV5w3klNodYNF5-Nn8ZcYqWk5qd7cIrFL2ggV1TWS775zo5yKzaVd18f%7EmGcCvLFVwE8cc7Wly0OuMt4CWYBfPL%7EgZbpefFTtvSaaIGXsyBdmC0nKrvHii8OAvUOCuHWZQSOUxfU6jxqtk0rWG0LkOSHWkI-hrSogtek8OcZ23CPjTQp%7Erg1ci2lM6L%7Eg__&Key-Pair-Id=K24J24Z295AEI9 [following]\n--2024-07-21 14:27:31--  https://cdn-lfs-us-1.huggingface.co/repos/03/4f/034f80180b5ba08a0d9fe97aa18e17eb02604e9ba5c3e985eaee5a613e4810f6/901871f1a8502c1e168ce190908e8c5658f350ab7f0626932ab6cea57f67c9be?response-content-disposition=inline%3B+filename*%3DUTF-8''embedding_trial2.h5%3B+filename%3D%22embedding_trial2.h5%22%3B&Expires=1721831251&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMTgzMTI1MX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzAzLzRmLzAzNGY4MDE4MGI1YmEwOGEwZDlmZTk3YWExOGUxN2ViMDI2MDRlOWJhNWMzZTk4NWVhZWU1YTYxM2U0ODEwZjYvOTAxODcxZjFhODUwMmMxZTE2OGNlMTkwOTA4ZThjNTY1OGYzNTBhYjdmMDYyNjkzMmFiNmNlYTU3ZjY3YzliZT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=RTUO6SbNNSXWV-dqp2ebxeqNu3rJtAcDkjCw8-nx-UsES2HpeguoWe9DeH4hZhn6FaOqOydMOUFGVSy~qpie9ZjoGxuwQmarElPqpV6rpS5x6etU10K~BRTF8Z1FncWo2yokyR5v56sQKAcfDZcUPTtqbPV5w3klNodYNF5-Nn8ZcYqWk5qd7cIrFL2ggV1TWS775zo5yKzaVd18f~mGcCvLFVwE8cc7Wly0OuMt4CWYBfPL~gZbpefFTtvSaaIGXsyBdmC0nKrvHii8OAvUOCuHWZQSOUxfU6jxqtk0rWG0LkOSHWkI-hrSogtek8OcZ23CPjTQp~rg1ci2lM6L~g__&Key-Pair-Id=K24J24Z295AEI9\nResolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 3.163.189.91, 3.163.189.127, 3.163.189.28, ...\nConnecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|3.163.189.91|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 94732496 (90M) [binary/octet-stream]\nSaving to: 'embedding_trial2.h5'\n\nembedding_trial2.h5 100%[===================>]  90.34M  78.1MB/s    in 1.2s    \n\n2024-07-21 14:27:32 (78.1 MB/s) - 'embedding_trial2.h5' saved [94732496/94732496]\n\n","output_type":"stream"}]},{"cell_type":"code","source":"\n# Load the fine-tuned model\nimport tensorflow as tf\nfinetuned_model = tf.keras.models.load_model('/kaggle/working/embedding_trial2.h5')\nembeddings_finetuned = generate_embeddings(finetuned_model, dataset_path)","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:15:13.455875Z","iopub.execute_input":"2024-07-21T15:15:13.456621Z","iopub.status.idle":"2024-07-21T15:21:08.703036Z","shell.execute_reply.started":"2024-07-21T15:15:13.456589Z","shell.execute_reply":"2024-07-21T15:21:08.701946Z"},"trusted":true},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":"  0%|          | 0/16 [00:00<?, ?it/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"adc8a730e1d7404c95dadc21a6d5ff2c"}},"metadata":{}}]},{"cell_type":"code","source":"\n# Calculate intra-cluster distances for both models\nmetrics_original = calculate_intra_cluster_metrics(embeddings_original)\n# ","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:21:26.057772Z","iopub.execute_input":"2024-07-21T15:21:26.058385Z","iopub.status.idle":"2024-07-21T15:21:26.077871Z","shell.execute_reply.started":"2024-07-21T15:21:26.058353Z","shell.execute_reply":"2024-07-21T15:21:26.077167Z"},"trusted":true},"execution_count":22,"outputs":[]},{"cell_type":"code","source":"metrics_finetuned = calculate_intra_cluster_metrics(embeddings_finetuned)","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:21:47.308651Z","iopub.execute_input":"2024-07-21T15:21:47.309426Z","iopub.status.idle":"2024-07-21T15:21:47.329496Z","shell.execute_reply.started":"2024-07-21T15:21:47.309393Z","shell.execute_reply":"2024-07-21T15:21:47.328731Z"},"trusted":true},"execution_count":24,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\ndef plot_histogram(metrics, key, title, xlabel):\n    values = [metrics[label][key] for label in metrics]\n    plt.figure()\n    plt.hist(values, bins=20, alpha=0.7)\n    plt.title(title)\n    plt.xlabel(xlabel)\n    plt.ylabel('Frequency')\n    plt.show()\n\nplot_histogram(metrics_original, 'max_radius', 'Histogram of Max Radius (Original Model)', 'Max Radius')\nplot_histogram(metrics_finetuned, 'max_radius', 'Histogram of Max Radius (Fine-tuned Model)', 'Max Radius')","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:21:49.214264Z","iopub.execute_input":"2024-07-21T15:21:49.214628Z","iopub.status.idle":"2024-07-21T15:21:49.837735Z","shell.execute_reply.started":"2024-07-21T15:21:49.214602Z","shell.execute_reply":"2024-07-21T15:21:49.836789Z"},"trusted":true},"execution_count":25,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure 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"},"metadata":{}}]},{"cell_type":"code","source":"def plot_boxplot(metrics, key, title, ylabel):\n    values = [metrics[label][key] for label in metrics]\n    plt.figure()\n    plt.boxplot(values)\n    plt.title(title)\n    plt.ylabel(ylabel)\n    plt.show()\n\nplot_boxplot(metrics_original, 'percentile_50', 'Boxplot of Median Distances (Original Model)', 'Median Distance')\nplot_boxplot(metrics_finetuned, 'percentile_50', 'Boxplot of Median Distances (Fine-tuned Model)', 'Median Distance')","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:21:58.907446Z","iopub.execute_input":"2024-07-21T15:21:58.908328Z","iopub.status.idle":"2024-07-21T15:21:59.355775Z","shell.execute_reply.started":"2024-07-21T15:21:58.908295Z","shell.execute_reply":"2024-07-21T15:21:59.354892Z"},"trusted":true},"execution_count":26,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure 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"},"metadata":{}}]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\ndef plot_histogram(metrics, title, xlabel):\n    values = list(metrics.values()) # Extract values from the dictionary\n    plt.figure()\n    plt.hist(values, bins=20, alpha=0.7)\n    plt.title(title)\n    plt.xlabel(xlabel)\n    plt.ylabel('Frequency')\n    plt.show()\n\ndef compare_metrics(metrics_original, metrics_finetuned, key):\n    changes = {}\n    for label in metrics_original:\n        if label in metrics_finetuned:\n            change = metrics_finetuned[label][key] - metrics_original[label][key]\n            changes[label] = change\n    return changes\n\nmax_radius_change = compare_metrics(metrics_original, metrics_finetuned, 'max_radius')\nplot_histogram(max_radius_change, 'Histogram of Max Radius Change', 'Max Radius Change')","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:22:03.6894Z","iopub.execute_input":"2024-07-21T15:22:03.690229Z","iopub.status.idle":"2024-07-21T15:22:03.992Z","shell.execute_reply.started":"2024-07-21T15:22:03.690192Z","shell.execute_reply":"2024-07-21T15:22:03.990996Z"},"trusted":true},"execution_count":27,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"\ndef calculate_inter_cluster_metrics(embeddings):\n    centers = {label: metrics['center'] for label, metrics in embeddings.items()}\n    labels = list(centers.keys())\n    inter_cluster_distances = euclidean_distances(list(centers.values()))\n\n    metrics = {}\n    for i, label1 in enumerate(labels):\n        for j, label2 in enumerate(labels):\n            if i >= j:\n                continue\n            distance = inter_cluster_distances[i, j]\n            pair = tuple(sorted((label1, label2)))\n            metrics[pair] = distance\n\n    return metrics\n\ninter_cluster_metrics_original = calculate_inter_cluster_metrics(metrics_original)\ninter_cluster_metrics_finetuned = calculate_inter_cluster_metrics(metrics_finetuned)","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:22:10.559553Z","iopub.execute_input":"2024-07-21T15:22:10.560331Z","iopub.status.idle":"2024-07-21T15:22:10.56975Z","shell.execute_reply.started":"2024-07-21T15:22:10.560297Z","shell.execute_reply":"2024-07-21T15:22:10.568765Z"},"trusted":true},"execution_count":28,"outputs":[]},{"cell_type":"code","source":"inter_cluster_metrics_original","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def compare_inter_cluster_metrics(metrics_original, metrics_finetuned):\n    changes = {}\n    for pair in metrics_original:\n        if pair in metrics_finetuned:\n            change = metrics_finetuned[pair] - metrics_original[pair]\n            changes[pair] = change\n    return changes\n\ninter_cluster_distance_change = compare_inter_cluster_metrics(inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n\ndef plot_inter_cluster_changes(inter_cluster_distance_change, title, xlabel):\n    values = list(inter_cluster_distance_change.values())\n    plt.figure()\n    plt.hist(values, bins=20, alpha=0.7)\n    plt.title(title)\n    plt.xlabel(xlabel)\n    plt.ylabel('Frequency')\n    plt.show()\n\nplot_inter_cluster_changes(inter_cluster_distance_change, 'Histogram of Inter-Cluster Distance Changes', 'Inter-Cluster Distance Change')\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:22:16.290692Z","iopub.execute_input":"2024-07-21T15:22:16.291356Z","iopub.status.idle":"2024-07-21T15:22:16.609269Z","shell.execute_reply.started":"2024-07-21T15:22:16.291319Z","shell.execute_reply":"2024-07-21T15:22:16.608263Z"},"trusted":true},"execution_count":29,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"\ndef compare_inter_cluster_metrics(metrics_original, metrics_finetuned):\n    changes = {}\n    for pair in metrics_original:\n        if pair in metrics_finetuned:\n            change = metrics_finetuned[pair] - metrics_original[pair]\n            changes[pair] = change\n    return changes\n\ninter_cluster_distance_change = compare_inter_cluster_metrics(inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n\ndef plot_inter_cluster_changes(inter_cluster_distance_change, title, xlabel):\n    values = list(inter_cluster_distance_change.values())\n    plt.figure()\n    plt.hist(values, bins=20, alpha=0.7)\n    plt.title(title)\n    plt.xlabel(xlabel)\n    plt.ylabel('Frequency')\n    plt.show()\n\nplot_inter_cluster_changes(inter_cluster_distance_change, 'Histogram of Inter-Cluster Distance Changes', 'Inter-Cluster Distance Change')\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:22:30.146349Z","iopub.execute_input":"2024-07-21T15:22:30.146746Z","iopub.status.idle":"2024-07-21T15:22:30.476032Z","shell.execute_reply.started":"2024-07-21T15:22:30.146715Z","shell.execute_reply":"2024-07-21T15:22:30.475012Z"},"trusted":true},"execution_count":30,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"def classify_impact(intra_metrics_original, intra_metrics_finetuned, inter_metrics_original, inter_metrics_finetuned):\n    impact = {\n        'positively_impacted': [],\n        'negatively_impacted': [],\n        'averagely_impacted': []\n    }\n\n    # Define thresholds for considering a change as significant\n    threshold = 0.01  # You can adjust this value based on your needs\n\n    # Classify intra-cluster metric changes\n    for label in intra_metrics_original:\n        if label in intra_metrics_finetuned:\n            max_radius_change = intra_metrics_finetuned[label]['max_radius'] - intra_metrics_original[label]['max_radius']\n            if max_radius_change < -threshold:\n                impact['positively_impacted'].append((label, 'max_radius'))\n            elif max_radius_change > threshold:\n                impact['negatively_impacted'].append((label, 'max_radius'))\n            else:\n                impact['averagely_impacted'].append((label, 'max_radius'))\n\n            # Add other metrics here if needed\n            # Example: variance, standard_deviation, etc.\n            variance_change = intra_metrics_finetuned[label]['variance'] - intra_metrics_original[label]['variance']\n            if variance_change < -threshold:\n                impact['positively_impacted'].append((label, 'variance'))\n            elif variance_change > threshold:\n                impact['negatively_impacted'].append((label, 'variance'))\n            else:\n                impact['averagely_impacted'].append((label, 'variance'))\n\n    # Classify inter-cluster metric changes\n    for pair in inter_metrics_original:\n        if pair in inter_metrics_finetuned:\n            distance_change = inter_metrics_finetuned[pair] - inter_metrics_original[pair]\n            if distance_change < -threshold:\n                impact['positively_impacted'].append((pair, 'inter_cluster_distance'))\n            elif distance_change > threshold:\n                impact['negatively_impacted'].append((pair, 'inter_cluster_distance'))\n            else:\n                impact['averagely_impacted'].append((pair, 'inter_cluster_distance'))\n\n    return impact\n\n# Assuming metrics_original and metrics_finetuned are dictionaries containing the calculated metrics\nimpact = classify_impact(metrics_original, metrics_finetuned, inter_cluster_metrics_original, inter_cluster_metrics_finetuned)\n\n# Print the impact classification\nprint(f\"Positively Impacted Faces: {len(impact['positively_impacted'])}\")\nprint(f\"Negatively Impacted Faces: {len(impact['negatively_impacted'])}\")\nprint(f\"Averagely Impacted Faces: {len(impact['averagely_impacted'])}\")","metadata":{"execution":{"iopub.status.busy":"2024-07-21T15:22:33.664848Z","iopub.execute_input":"2024-07-21T15:22:33.665235Z","iopub.status.idle":"2024-07-21T15:22:33.679597Z","shell.execute_reply.started":"2024-07-21T15:22:33.665193Z","shell.execute_reply":"2024-07-21T15:22:33.678563Z"},"trusted":true},"execution_count":31,"outputs":[{"name":"stdout","text":"Positively Impacted Faces: 152\nNegatively Impacted Faces: 0\nAveragely Impacted Faces: 0\n","output_type":"stream"}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}
\ No newline at end of file
diff --git a/Model/embedding_trial3.h5 b/Model/embedding_trial3.h5
new file mode 100644
index 0000000..37c1406
Binary files /dev/null and b/Model/embedding_trial3.h5 differ
diff --git a/test.ipynb b/test.ipynb
index 49982a6..196795d 100644
--- a/test.ipynb
+++ b/test.ipynb
@@ -1,5 +1,49 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Devansh', 'Image', 'ImageDB', 'JournalApp', 'Restaurant', 'admin', 'config', 'local', 'newdatabase']\n"
+     ]
+    }
+   ],
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "from pymongo import MongoClient\n",
+    "import os\n",
+    "\n",
+    "load_dotenv()\n",
+    "\n",
+    "mongodb_uri = os.getenv(\"MONGO_URL1\")\n",
+    "\n",
+    "client = MongoClient(mongodb_uri)\n",
+    "print(client.list_database_names())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for emp in client[\"FaceRec\"][\"ImageDB\"].find():\n",
+    "    print(emp)\n",
+    "    client[\"FaceRec\"][\"VectorDB\"].update_one(\n",
+    "        {\n",
+    "            \"Name\": emp[\"Name\"],\n",
+    "            \"embedding\": emp[\"embeddings\"][0],\n",
+    "            \"Image\": emp[\"Images\"][0],\n",
+    "        }\n",
+    "    )\n",
+    "    print(\"Inserted\")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -721,7 +765,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,