anodev commited on
Commit
86845a2
·
verified ·
1 Parent(s): e3698f4

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -94,10 +94,10 @@ def predict(jpg, msk):
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  sess_options = onnxruntime.SessionOptions()
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  model = onnxruntime.InferenceSession('lama.onnx', sess_options=sess_options)
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- image = Image.open(jpg)
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  mask = Image.open(msk).convert("L")
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- image, mask = prepare_img_and_mask(image.resize((512, 512)), mask.resize((512, 512)), 'cpu')
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  # Run the model
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  outputs = model.run(None, {'l_image_': image.numpy().astype(np.float32), 'l_mask_': mask.numpy().astype(np.float32)})
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@@ -106,7 +106,7 @@ def predict(jpg, msk):
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  output = output.transpose(1, 2, 0)
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  output = output.astype(np.uint8)
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  output = Image.fromarray(output)
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- output = output.resize(image.size)
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  output.save("/home/user/app/dataout/data_mask.png")
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  sess_options = onnxruntime.SessionOptions()
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  model = onnxruntime.InferenceSession('lama.onnx', sess_options=sess_options)
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+ imagex = Image.open(jpg)
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  mask = Image.open(msk).convert("L")
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+ image, mask = prepare_img_and_mask(imagex.resize((512, 512)), mask.resize((512, 512)), 'cpu')
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  # Run the model
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  outputs = model.run(None, {'l_image_': image.numpy().astype(np.float32), 'l_mask_': mask.numpy().astype(np.float32)})
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  output = output.transpose(1, 2, 0)
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  output = output.astype(np.uint8)
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  output = Image.fromarray(output)
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+ output = output.resize(imagex.size)
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  output.save("/home/user/app/dataout/data_mask.png")
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