updates
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train.py
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train.py
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@ -227,7 +227,7 @@ def train(
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# Calculate mAP (always test final epoch, skip first 5 if opt.nosave)
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# Calculate mAP (always test final epoch, skip first 5 if opt.nosave)
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if not (opt.notest or (opt.nosave and epoch < 10)) or epoch == epochs - 1:
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if not (opt.notest or (opt.nosave and epoch < 10)) or epoch == epochs - 1:
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with torch.no_grad():
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with torch.no_grad():
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results, maps = test.test(cfg, data_cfg, batch_size=batch_size, img_size=img_size_test, model=model,
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results, maps = test.test(cfg, data_cfg, batch_size=batch_size*2, img_size=img_size_test, model=model,
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conf_thres=0.1)
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conf_thres=0.1)
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# Write epoch results
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# Write epoch results
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