add .gitignore in the alldata directory
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@@ -213,6 +213,7 @@ def train(opt, show_number = 2, amp=False):
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preds = model(image, text).log_softmax(2)
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preds_size = torch.IntTensor([preds.size(1)] * batch_size)
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preds = preds.permute(1, 0, 2)
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print(f"preds shape : {preds.shape}")
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torch.backends.cudnn.enabled = False
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cost = criterion(preds, text.to(device), preds_size.to(device), length.to(device))
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torch.backends.cudnn.enabled = True
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@@ -265,6 +266,9 @@ def train(opt, show_number = 2, amp=False):
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#show_number = min(show_number, len(labels))
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start = random.randint(0,len(labels) - show_number )
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print(f"start index for showing results: {start}")
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print(f"labels length: {len(labels)}")
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print(f"labels : {labels}")
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for gt, pred, confidence in zip(labels[start:start+show_number], preds[start:start+show_number], confidence_score[start:start+show_number]):
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if 'Attn' in opt.Prediction:
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gt = gt[:gt.find('[s]')]
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