updates
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train.py
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train.py
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@ -18,7 +18,7 @@ opt = parser.parse_args()
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print(opt)
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# Import test.py to get mAP after each epoch
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sys.argv[1:] = [] # delete any command line arguments that might get picked up by test.py
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sys.argv[1:] = [] # delete any train.py command-line arguments before they reach test.py
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import test # must follow sys.argv[1:] = []
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cuda = torch.cuda.is_available()
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