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WAMAWAMA committed Jan 23, 2023
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2 changes: 1 addition & 1 deletion demo/multi_label/Demo_CVPR2016_MultiLabel_CNNRNN.py
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Expand Up @@ -121,7 +121,7 @@ def inference(self, image, states=None):
image_2D_tensor = (torch.tensor(np.stack([case['img_2D'].astype(np.float32) for case in dataset], 0))).permute(0, 3, 1, 2)
image_3D_tensor = (torch.tensor(np.stack([case['img_3D'].astype(np.float32) for case in dataset], 0))).permute(0, 4, 1, 2, 3)

# ML-GCN only support binary labels
# CNNRNN only support binary labels
label_category_dict['weather'] = 2 # 5 → 2, force binary classification


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