updates
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train.py
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train.py
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@ -190,8 +190,6 @@ def train(
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os.system('cp ' + latest + ' ' + weights + 'backup%g.pt' % epoch)
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# Calculate mAP
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if type(model) is nn.parallel.DistributedDataParallel:
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model = model.module
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with torch.no_grad():
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P, R, mAP = test.test(cfg, data_cfg, weights=latest, batch_size=batch_size, img_size=img_size)
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@ -18,4 +18,3 @@ wget -c https://pjreddie.com/media/files/darknet53.conv.74
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# ./darknet partial cfg/yolov3-tiny.cfg yolov3-tiny.weights yolov3-tiny.conv.15 15
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# mv yolov3-tiny.conv.15 ../
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cd ..
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