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model.py
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model.py
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@ -245,7 +245,7 @@ class FastRCNN(nn.Module):
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# filter by threshold
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cls_prob = torch.softmax(cls_scores[proposal_batch_ids == img_idx], dim=1)
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print(cls_prob.shape)
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pos_mask = cls_prob[:, 1] > thresh
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pos_mask = (torch.max(cls_prob, dim=1)[0] > thresh) and (torch.max(cls_prob, dim=1)[1] != self.num_classes)
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print(pos_mask.shape)
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proposals_img = proposals[proposal_batch_ids == img_idx][pos_mask]
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print(proposals_img.shape)
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