updates
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train.py
4
train.py
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@ -201,7 +201,9 @@ def train(
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# Calculate mAP
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# Calculate mAP
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opt.notest = opt.notest or (opt.nosave and epoch < 10) # skip testing first 10 epochs if opt.nosave
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opt.notest = opt.notest or (opt.nosave and epoch < 10) # skip testing first 10 epochs if opt.nosave
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if not opt.notest or epoch == epochs - 1: # always test final epoch
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if not opt.notest or epoch == epochs - 1: # always test final epoch
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results = test.test(cfg, data_cfg, batch_size=batch_size, img_size=img_size, model=model, conf_thres=0.1)
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with torch.no_grad():
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results = test.test(cfg, data_cfg, batch_size=batch_size, img_size=img_size, model=model,
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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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with open('results.txt', 'a') as file:
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with open('results.txt', 'a') as file:
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