Fix eval.py iterating within batch
Former-commit-id: d4b8040593d4bc82774b1dac647c701b2486c477
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eval.py
8
eval.py
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@ -20,12 +20,12 @@ def eval_net(net, loader, device, n_val):
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mask_pred = net(imgs)
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for true_mask in true_masks:
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mask_pred = (mask_pred > 0.5).float()
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for true_mask, pred in zip(true_masks, mask_pred):
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pred = (pred > 0.5).float()
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if net.n_classes > 1:
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tot += F.cross_entropy(mask_pred.unsqueeze(dim=0), true_mask.unsqueeze(dim=0)).item()
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tot += F.cross_entropy(pred.unsqueeze(dim=0), true_mask.unsqueeze(dim=0)).item()
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else:
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tot += dice_coeff(mask_pred, true_mask.squeeze(dim=1)).item()
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tot += dice_coeff(pred, true_mask.squeeze(dim=1)).item()
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pbar.update(imgs.shape[0])
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return tot / n_val
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