djl234 commited on
Commit
78142e8
·
1 Parent(s): 8d863f5

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -92,7 +92,7 @@ def test(gpu_id, net, img_list, group_size, img_size):
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  pred_mask=[crf_refine(((group_img[i]-group_img[i].min())/(group_img[i].max()-group_img[i].min())*255).permute(1,2,0).contiguous().numpy().astype(np.uint8),pred_mask[i].numpy().astype(np.uint8)) for i in range(5)]
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  #for i in range(5):
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  # print(img_list[i].shape,pred_mask[i].shape)
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- pred_mask=[crf_refine(img_list[i],pred_mask[i]) for i in range(5)]
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  print(pred_mask[0].shape)
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  result = [((torch.from_numpy(pred_mask[i]).unsqueeze(2).repeat(1,1,3)).numpy()) for i in range(5)]
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  #w, h = 224,224#Image.open(image_list[i][j]).size
 
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  pred_mask=[crf_refine(((group_img[i]-group_img[i].min())/(group_img[i].max()-group_img[i].min())*255).permute(1,2,0).contiguous().numpy().astype(np.uint8),pred_mask[i].numpy().astype(np.uint8)) for i in range(5)]
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  #for i in range(5):
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  # print(img_list[i].shape,pred_mask[i].shape)
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+ #pred_mask=[crf_refine(img_list[i],pred_mask[i]) for i in range(5)]
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  print(pred_mask[0].shape)
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  result = [((torch.from_numpy(pred_mask[i]).unsqueeze(2).repeat(1,1,3)).numpy()) for i in range(5)]
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  #w, h = 224,224#Image.open(image_list[i][j]).size