rm blank space

dataset_loader.py

@@ -97,9 +97,3 @@ class VideoDataset(Dataset):
         imgs = torch.cat(imgs, dim=0)
 
         return imgs, pid, camid
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models/MuDeep.py

@@ -183,9 +183,3 @@ class MuDeep(nn.Module):
             return y, x
         else:
             raise KeyError("Unsupported loss: {}".format(self.loss))
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models/ResNet.py

@@ -86,4 +86,3 @@ class ResNet50M(nn.Module):
             return prelogits, combofeat
         else:
             raise KeyError("Unsupported loss: {}".format(self.loss))
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train_img_model_cent.py

@@ -263,10 +263,3 @@ def test(model, queryloader, galleryloader, use_gpu, ranks=[1, 5, 10, 20]):
 
 if __name__ == '__main__':
     main()
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train_img_model_xent.py

@@ -249,10 +249,3 @@ def test(model, queryloader, galleryloader, use_gpu, ranks=[1, 5, 10, 20]):
 
 if __name__ == '__main__':
     main()
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train_img_model_xent_htri.py

@@ -265,10 +265,3 @@ def test(model, queryloader, galleryloader, use_gpu, ranks=[1, 5, 10, 20]):
 
 if __name__ == '__main__':
     main()
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train_vid_model_xent.py

@@ -267,10 +267,3 @@ def test(model, queryloader, galleryloader, pool, use_gpu, ranks=[1, 5, 10, 20])
 
 if __name__ == '__main__':
     main()
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train_vid_model_xent_htri.py

@@ -283,10 +283,3 @@ def test(model, queryloader, galleryloader, pool, use_gpu, ranks=[1, 5, 10, 20])
 
 if __name__ == '__main__':
     main()
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utils.py

@@ -88,11 +88,3 @@ def write_json(obj, fpath):
     mkdir_if_missing(osp.dirname(fpath))
     with open(fpath, 'w') as f:
         json.dump(obj, f, indent=4, separators=(',', ': '))
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