antoinedelplace commited on
Commit
a8adc67
·
1 Parent(s): 4bac285

Fix fancy image size

Browse files
Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -22,6 +22,7 @@ def transform_with_seed(input_img, transform, seed=123456):
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  def convert_he2ihc(input_he_image_path):
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  input_img = Image.open(input_he_image_path).convert('RGB')
 
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  opt = SimpleNamespace(
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  gpu_ids=None,
@@ -29,7 +30,7 @@ def convert_he2ihc(input_he_image_path):
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  checkpoints_dir="../../checkpoints",
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  # name="ASP_pretrained/BCI_her2_lambda_linear",
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  name="ASP_pretrained/BCI_her2_zero_uniform",
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- preprocess="crop",
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  nce_layers="0,4,8,12,16",
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  nce_idt=False,
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  input_nc=3,
@@ -72,6 +73,7 @@ def convert_he2ihc(input_he_image_path):
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  visuals = model.get_current_visuals()
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  output_img = to_pil_image(visuals['fake_B'].detach().cpu().squeeze(0))
 
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  print("np.shape(output_img)", np.shape(output_img))
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  return output_img
 
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  def convert_he2ihc(input_he_image_path):
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  input_img = Image.open(input_he_image_path).convert('RGB')
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+ original_img_size = input_img.size
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  opt = SimpleNamespace(
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  gpu_ids=None,
 
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  checkpoints_dir="../../checkpoints",
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  # name="ASP_pretrained/BCI_her2_lambda_linear",
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  name="ASP_pretrained/BCI_her2_zero_uniform",
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+ preprocess="scale_width_and_crop",
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  nce_layers="0,4,8,12,16",
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  nce_idt=False,
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  input_nc=3,
 
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  visuals = model.get_current_visuals()
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  output_img = to_pil_image(visuals['fake_B'].detach().cpu().squeeze(0))
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+ output_img = output_img.resize(original_img_size)
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  print("np.shape(output_img)", np.shape(output_img))
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  return output_img