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main.py
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main.py
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import os
import platform
# onnxruntime==1.8.0 requires CUDA_PATH_V11_2, but 1.8.1 don't
# keep the code if they return that behaviour
# if __name__ == '__main__':
# if platform.system() == 'Windows':
# if 'CUDA_PATH' not in os.environ:
# raise Exception('CUDA_PATH should be set to environ')
# # set environ for onnxruntime
# # os.environ['CUDA_PATH_V11_2'] = os.environ['CUDA_PATH']
import argparse
from pathlib import Path
def main():
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers()
run_parser = subparsers.add_parser( "run", help="Run the application.")
run_subparsers = run_parser.add_subparsers()
def run_DeepFaceLive(args):
userdata_path = Path(args.userdata_dir)
print('Running DeepFaceLive.')
from apps.DeepFaceLive.DeepFaceLiveApp import DeepFaceLiveApp
DeepFaceLiveApp(userdata_path=userdata_path).run()
p = run_subparsers.add_parser('DeepFaceLive')
p.add_argument('--userdata-dir', default=None, action=fixPathAction, help="Workspace directory.")
p.set_defaults(func=run_DeepFaceLive)
def bad_args(arguments):
parser.print_help()
exit(0)
parser.set_defaults(func=bad_args)
args = parser.parse_args()
args.func(args)
class fixPathAction(argparse.Action):
def __call__(self, parser, namespace, values, option_string=None):
setattr(namespace, self.dest, os.path.abspath(os.path.expanduser(values)))
# from xlib import time as lib_time
# import numpy as np
# import cv2
# import cupy as cp
# import cupyx.scipy.ndimage
# import scipy
# import scipy.ndimage
# from typing import Union, Tuple
# from xlib.image import ImageProcessor
# mat = def_mat = np.array([[ 8.5966533e-01, 8.3356246e-02, 1.9525000e+02 ],#
# [-8.3356142e-02, 8.5966533e-01, 8.8052826e+01 ]], np.float32)#
# is_cp = False
# while True:
# print('is_cp : ', is_cp)
# img = cv2.imread(r'D:\DevelopPython\test\00000.png')
# if is_cp:
# img = cp.asarray(img)
# is_cp = not is_cp
# ip = ImageProcessor(img)
# ip.sharpen(factor=10.0)
# #ip.degrade_resize( np.random.rand() )
# #ip.erode_blur(50, 50, fade_to_border=False)
# #ip.resize( (500,500) )
# #ip.warpAffine(mat, 1920, 1080)
# x = ip.get_image('HWC')
# x = cp.asnumpy(x)
# cv2.imshow('', x )
# cv2.waitKey(0)
# import code
# code.interact(local=dict(globals(), **locals()))
if __name__ == '__main__':
main()
# import code
# code.interact(local=dict(globals(), **locals()))