jpdefrutos commited on
Commit
f4c45ef
·
1 Parent(s): 4b5777a

Typo when calling the image shape in the constants.py file

Browse files
DeepDeformationMapRegistration/main.py CHANGED
@@ -262,7 +262,7 @@ def main():
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  image_shape_crop = fixed_image.shape
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  # 2.3 Resize the images to the expected input size
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- zoom_factors = C.IMAGE_SHAPE / image_shape_crop
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  fixed_image = zoom(fixed_image, zoom_factors)
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  moving_image = zoom(moving_image, zoom_factors)
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  fixed_image = min_max_norm(fixed_image)
@@ -310,7 +310,7 @@ def main():
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  enc_features = [32, 64, 128, 256, 512, 1024] # const.ENCODER_FILTERS
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  dec_features = enc_features[::-1] + [16, 16] # const.ENCODER_FILTERS[::-1]
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  nb_features = [enc_features, dec_features]
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- network = vxm.networks.VxmDense(inshape=C.IMAGE_SHAPE[:-1],
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  nb_unet_features=nb_features,
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  int_steps=0)
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  network.load_weights(MODEL_FILE, by_name=True)
 
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  image_shape_crop = fixed_image.shape
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  # 2.3 Resize the images to the expected input size
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+ zoom_factors = np.asarray(C.IMG_SHAPE) / np.asarray(image_shape_crop)
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  fixed_image = zoom(fixed_image, zoom_factors)
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  moving_image = zoom(moving_image, zoom_factors)
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  fixed_image = min_max_norm(fixed_image)
 
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  enc_features = [32, 64, 128, 256, 512, 1024] # const.ENCODER_FILTERS
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  dec_features = enc_features[::-1] + [16, 16] # const.ENCODER_FILTERS[::-1]
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  nb_features = [enc_features, dec_features]
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+ network = vxm.networks.VxmDense(inshape=C.IMG_SHAPE[:-1],
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  nb_unet_features=nb_features,
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  int_steps=0)
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  network.load_weights(MODEL_FILE, by_name=True)
setup.py CHANGED
@@ -37,6 +37,7 @@ setup(
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  'tensorboard==1.14.0',
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  'nibabel==3.2.1',
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  'numpy==1.18.5',
 
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  ],
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  entry_points={
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  'console_scripts': ['ddmr=DeepDeformationMapRegistration.main:main']
 
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  'tensorboard==1.14.0',
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  'nibabel==3.2.1',
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  'numpy==1.18.5',
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+ 'h5py==2.10'
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  ],
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  entry_points={
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  'console_scripts': ['ddmr=DeepDeformationMapRegistration.main:main']