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example_sepiafilter.py
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example_sepiafilter.py
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try:
import sys
import os
#u gotta run this from cmd, run python file/F5(debug) on vscode fails., u have to PRESS THE BUTTON
'''
to compile with pyinstaller on windows/mac
cd to examples folder (this folder)
python -m PyInstaller WIN_Sepiafilter.spec --clean
OR
python -m PyInstaller MAC_Sepiafilter.spec --clean
'''
# # / and \ works on windows, only / on mac tho
# sourcelocation = "examples\creativecommonsmedia\Elephants Dream charstart2.webm"
# sourcelocation = os.path.join("examples", "creativecommonsmedia", "Elephants Dream charstart2FULL_265.webm")
sourcelocation = os.path.join("examples", "creativecommonsmedia", "Elephants Dream charstart2FULL_265.mp4")
# sourcelocation = "examples\creativecommonsmedia\\30 fps counter.webm"
# sourcelocation = "NDA"
if hasattr(sys, "_MEIPASS"):
pass
else:
# if you're making your own app, you don't need this if-else block. This is just vanity code so this file can be run from main FastCVApp folder or from the examples subfolder.
# this example is importing from a higher level package if running from cmd: https://stackoverflow.com/a/41575089
# add the right path depending on if you're running from examples or from main folder:
if os.path.join("fastcvapp", "fastcvapp", "examples").lower() in os.getcwd().lower():
# when running from examples folder, append the upper level
sys.path.append(
".."
)
elif os.path.join("fastcvapp", "fastcvapp").lower() in os.getcwd().lower():
# assume they're in main folder (fastcvapp/fastcvapp) trying `python examples/example_backgroundsubtraction.py`
sys.path.append(os.path.dirname(os.path.dirname(__file__)))
else:
import pathlib
solution = []
#check all paths in sys.path and find the fastcvapp folder that holds FastCVapp.py
for pathstr in sys.path+[os.getcwd()]:
pathoption = list(pathlib.Path(pathstr).rglob(os.path.join("FastCVApp", "FastCVApp.py")))
testfilter = [pathselection for pathselection in pathoption]
if pathoption != []:
# solution = list(pathlib.Path(pathstr).rglob("FastCVApp.py"))[0].resolve().__str__()
# solution.append(*testfilter)
solution += testfilter
# print("sol??", solution)
# solution = [print("strvar", strvar) for strvar in solution]
solution = [os.path.dirname(pathobj) for pathobj in solution]
if len(solution) != 1:
#warn user if multiple paths detected or none:
print("there should only be one path to FastCVApp/FastCVApp.py, check your env", solution, flush=True)
for solutionitem in solution:
sys.path.append(solutionitem)
# print("appended solution!",sys.path)
try:
import pathlib
#in pyinstaller
if hasattr(sys, "_MEIPASS"):
#using fcva as a project
if len(list(pathlib.Path(pathstr).rglob(os.path.join("fcvautils.py")))) > 0:
from fcvautils import FCVA_update_resources
else:
#importing using fastcvapp as a module
from fastcvapp.fcvautils import FCVA_update_resources
else:
# NOT in pyinstaller, using fcva as a module
from fastcvapp.fcvautils import FCVA_update_resources
except:
#importing from fastcvapp project (using fcva as a project)
from fcvautils import FCVA_update_resources
#udpate paths here
# FCVA_update_resources(sourcelocationVAR = ["examples", "creativecommonsmedia", "Elephants Dream charstart2FULL_265.mp4"], destlocationVAR = ["examples"]) #this has the sys.path.append(sys._MEIPASS)
FCVA_update_resources(sourcelocationVAR = ["examples"], destlocationVAR = ["examples"]) #this has the sys.path.append(sys._MEIPASS)
import cv2
from collections import deque
import numpy as np
def sepia_filter(*args):
try:
# reference: https://medium.com/dataseries/designing-image-filters-using-opencv-like-abode-photoshop-express-part-2-4479f99fb35
inputdeque = args[0]
# FCVAWidget_shared_metadata_dictVAR3 = args[1]
bufferlenVAR = args[2]
answerdeque = deque(maxlen=bufferlenVAR)
landmarkerVAR = args[3]
raw_dequeKEYSVAR = args[4]
force_monotonic_increasingVAR = args[5]
while len(inputdeque) > 0:
image = inputdeque.popleft()
image = np.array(image, dtype=np.float64) # converting to float to prevent loss
image = cv2.transform(
image,
np.matrix(
[[0.272, 0.534, 0.131], [0.349, 0.686, 0.168], [0.393, 0.769, 0.189]]
),
)
image[np.where(image > 255)] = 255 # normalizing values greater than 255 to 255
image = np.array(image, dtype=np.uint8) # converting back to int
answerdeque.append(image)
return answerdeque
except Exception as e:
print("sepia_filter subprocess died! ", e, flush=True)
if __name__ == "__main__":
import multiprocessing
multiprocessing.freeze_support()
import fastcvapp
try:
#as a module
# print("paths??", sys.path)
app = fastcvapp.FCVA()
except:
#in the project
# print("listdir", os.listdir(os.path.dirname(fastcvapp.__file__)))
from fastcvapp.fastcvapp import FCVA
app = FCVA()
app.appliedcv = sepia_filter
# / and \ works on windows, only / on mac tho
app.source = sourcelocation
app.title = "Sepia filter example by Pengindoramu"
app.run()
except Exception as e:
print("example_sepiafilter died!", e)
import traceback
print("full exception", "".join(traceback.format_exception(*sys.exc_info())))
import time
time.sleep(300)