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Fix eval.py script #25

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Fix eval.py script #25

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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -64,4 +64,4 @@ The training script will save a checkpoint in the `log` directory after each 100
## Evaluate
In order to try our model, we included a snapshot of our trained model (in the `log` directory). That can be used as follow:

`python3 eval.py <input_img_path> <trimap_img_path> <output_img_path> --checkpoint -1`
`python3 eval.py <input_img_path> <output_img_path> --checkpoint -1`
4 changes: 1 addition & 3 deletions eval.py
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Expand Up @@ -68,8 +68,6 @@ def parse_args():
parser = argparse.ArgumentParser(description="Evalutate image")
parser.add_argument("input", type=str,
help="Path to a file containing input image")
parser.add_argument("object", type=str,
help="Path to a file containing trimap image")
parser.add_argument("output", type=str,
help="Path to the output file")
parser.add_argument('--checkpoint', type=int, default=None,
Expand Down Expand Up @@ -116,7 +114,7 @@ def main(args):
input_filename = args.input
image = load_image(input_filename)
print(image.shape)
trimap = generate_trimap(args.object)
trimap = generate_trimap(input_filename)

image = np.array(image)
trimap = np.array(trimap)[..., np.newaxis]
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