import argparse
paser = argparse.ArgumentParser()
args = paser.parse_args("")
args.cuda = False
args.show_summary = False
args.device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
print(args.cuda)
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In past, I wrote an articel about YUV 444, 422, 411 introduction and yuv rgb converting example code. refer to this page -> http://feel...
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1. load pre-trained model 2. export onnx 3. load onnx refer to code: . import warnings from torch . jit import TracerWarning warnings . ...
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refer to code: . import mlflow from sklearn . metrics import adjusted_rand_score , silhouette_score from sklearn . cluster import K...
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Created Date : 2007.8 Language : Matlab / C++(MFC) Tool : Matlab / Visual C++ 6.0 Library & Utilized : - / OpenGL Reference : ...
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