Update GG Drive link, due to the old account is expired

README.md

@@ -1,6 +1,6 @@
 # Facial Expression Recognition using Residual Masking Network, in PyTorch
 
-[![pypi package](https://img.shields.io/badge/version-v3.0.2-blue)](https://pypi.org/project/rmn)
+[![pypi package](https://img.shields.io/badge/version-v3.0.3-blue)](https://pypi.org/project/rmn)
 [![circleci](https://circleci.com/gh/phamquiluan/ResidualMaskingNetwork.svg?style=shield&circle-token=3ca7f15b6bd362b625bec536d57c45fe5ef6f2c9)](https://app.circleci.com/pipelines/github/phamquiluan/ResidualMaskingNetwork)
 [![style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/phamquiluan/residualmaskingnetwork)
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/challenges-in-representation-learning-a/facial-expression-recognition-on-fer2013)](https://paperswithcode.com/sota/facial-expression-recognition-on-fer2013?p=challenges-in-representation-learning-a)
@@ -49,8 +49,8 @@ cv2.imwrite("output.png", image)
 
 
 ## Approach 2:
-- Model file: [download](https://drive.google.com/open?id=1_6CzlKRS9ksxlo0TjqIGXMzQE4I83tE0) (this checkpoint is trained on VEMO dataset, locate it at ```./saved/checkpoints/``` directory)
-- Download 2 files: [prototxt](https://drive.google.com/open?id=1ANVPx3JM4EcJVZOstV_kEO1Jcv74mBu5), and [res10_300x300_ssd](https://drive.google.com/open?id=1Iy_3I_mWGhBA63W0IK8tRrUuvr-WrGQ2) for face detection OpenCV. Locate at current directory or checking file path with ```ssd_infer.py``` file.
+- Model file: [download](https://drive.google.com/file/d/1J0qA0_xKc_Zq4UIcTUkzWNTmItYzOfXp/view?usp=sharing) (this checkpoint is trained on VEMO dataset, locate it at ```./saved/checkpoints/``` directory)
+- Download 2 files: [prototxt](https://drive.google.com/file/d/1msV-xLIO0S_WP63ftbH_nbIv8gP8l5Ve/view?usp=sharing), and [res10_300x300_ssd](https://drive.google.com/file/d/1OEvFItUdd4ofcj0se4EcQld28AGpp7bS/view?usp=sharing) for face detection OpenCV. Locate at current directory or checking file path with ```ssd_infer.py``` file.
 
 ```Shell
 python ssd_infer.py
@@ -62,7 +62,6 @@ python ssd_infer.py
 
 
 
-
 ### Table of Contents
 - <a href='#recent_update'>Recent Update</a>
 - <a href='#benchmarking_fer2013'>Benchmarking on FER2013</a>
@@ -103,17 +102,17 @@ We benchmark our code thoroughly on two datasets: FER2013 and VEMO. Below are th
 
 Model | Accuracy |
 ---------|--------|
-[VGG19](https://drive.google.com/open?id=1FPkwhmel0AiGK3UtYiWCHPi5CYkF7BRc) | 70.80
-[EfficientNet\_b2b](https://drive.google.com/open?id=1pEyupTGQPoX1gj0NoJQUHnK5-mxB8NcS) | 70.80
-[Googlenet](https://drive.google.com/open?id=1LvxAxDmnTuXgYoqBj41qTdCRCSzaWIJr) | 71.97
-[Resnet34](https://drive.google.com/open?id=1iuTkqApioWe_IBPQ7gQHticrVlPA-xz_) | 72.42
-[Inception\_v3](https://drive.google.com/open?id=17mapZKWYMdxGTrbrAbRpfgniT5onmQXO) | 72.72
-[Bam\_Resnet50](https://drive.google.com/open?id=1K_gyarekwIxQMA_fEPJMApgqo3mYaM0H) | 73.14
-[Densenet121](https://drive.google.com/open?id=1f8wUtQj-UatrZtCnkJFcB--X2eJS1m_N) | 73.16
-[Resnet152](https://drive.google.com/open?id=1LBaHaVtu8uKiNsoTN7wl5Pg5ywh-QxRW) | 73.22
-[Cbam\_Resnet50](https://drive.google.com/open?id=1i9zk8sGXiixkQGTA1txBxSuew6z_c86T) | 73.39
-[ResMaskingNet](https://drive.google.com/open?id=1_ASpv0QNxknMFI75gwuVWi8FeeuMoGYy) | 74.14
-[ResMaskingNet + 6](https://drive.google.com/open?id=1y28VHzJcgBpW0Qn_K0XVVd-hxG4feIHG) | 76.82
+[VGG19](https://drive.google.com/file/d/196qnnULQpFK5O5Md_YfvsUC2OQRd5LrQ/view?usp=sharing) | 70.80
+[EfficientNet\_b2b](https://drive.google.com/file/d/1ZqvGcqYZXXbMKFwSaoHlo6LaKVYptXxx/view?usp=sharing) | 70.80
+[Googlenet](https://drive.google.com/file/d/1FNiNS7qqkd4dPQX9APiFsEyylb-ZHN8f/view?usp=sharing) | 71.97
+[Resnet34](https://drive.google.com/file/d/1GFSWnjA2tvsVel3kz0EyYW_el7Nyu8Gc/view?usp=sharing) | 72.42
+[Inception\_v3](https://drive.google.com/file/d/10LpGJEmSTikidqaiv32rcJYQc3Cx_n6-/view?usp=sharing) | 72.72
+[Bam\_Resnet50](https://drive.google.com/file/d/1RlVX2eiaQrUUmpng1PCyhK_hJdfJRcoU/view?usp=sharing) | 73.14
+[Densenet121](https://drive.google.com/file/d/1VWZ96Ar_n_OQD4Rk5ThZbixApMQ5eeYW/view?usp=sharing) | 73.16
+[Resnet152](https://drive.google.com/file/d/1A-kUqrP9u3ZCXVBtE6AdUN5afPwQjTHl/view?usp=sharing) | 73.22
+[Cbam\_Resnet50](https://drive.google.com/file/d/1_u_B2NcxqCMPdWmPLMYKVzAenwBlwoFi/view?usp=sharing) | 73.39
+[ResMaskingNet](https://drive.google.com/file/d/1dmOycqZACsLh0eyDSR2ssn4g9xh36zMp/view?usp=sharing) | 74.14
+[ResMaskingNet + 6](https://drive.google.com/drive/folders/1Nt7y1T99HpmF93peYxMg-i6BUqdzDBve?usp=sharing) | 76.82
 
 
 
@@ -154,7 +153,7 @@ Model | Top-1 Accuracy | Top-5 Accuracy |
 
 ## Datasets
 
-- [FER2013 Dataset](https://drive.google.com/open?id=18ovcnZBsPvwXXFVAqczACe9zciO_1q6J) (locate it in ```saved/data/fer2013``` like ```saved/data/fer2013/train.csv```)
+- [FER2013 Dataset](https://drive.google.com/drive/folders/1Nt7y1T99HpmF93peYxMg-i6BUqdzDBve?usp=sharing) (locate it in ```saved/data/fer2013``` like ```saved/data/fer2013/train.csv```)
 - [ImageNet 1K Dataset](http://image-net.org/download-images) (ensure it can be loaded by torchvision.datasets.Imagenet)
 
 
@@ -226,9 +225,9 @@ I used no-weighted sum avarage ensemble method to fusing 7 different models toge
 
 
 ## Dissertation and Slide
-- [Dissertation PDF (in Vietnamese)](https://drive.google.com/open?id=1HxqvQSZRf-3ashGtZ5o9OABdhmdjS64a)
+- [Dissertation PDF (in Vietnamese)](https://drive.google.com/drive/folders/1Nt7y1T99HpmF93peYxMg-i6BUqdzDBve?usp=sharing)
 - [Dissertation Overleaf Source](https://www.overleaf.com/read/qdyhnzjmbscd)
-- [Presentation slide PDF (in English) with full appendix](https://drive.google.com/open?id=19zweCDX8Vz4jgwJ6cBWr5x_iQPvahsQg)
+- [Presentation slide PDF (in English) with full appendix](https://drive.google.com/drive/folders/1Nt7y1T99HpmF93peYxMg-i6BUqdzDBve?usp=sharing)
 - [Presentation slide Overleaf Source](https://www.overleaf.com/read/vxdhjvhvgwdn)
 - [Paper](docs/paper.pdf)