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Changed method call of tf.resize_images #94

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Changed method call of tf.resize_images #94

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2 changes: 1 addition & 1 deletion convert.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def convert(def_path, caffemodel_path, data_output_path, code_output_path, phase

def main():
parser = argparse.ArgumentParser()
parser.add_argument('def_path', help='Model definition (.prototxt) path')
parser.add_argument('--def-path', help='Model definition (.prototxt) path')
parser.add_argument('--caffemodel', help='Model data (.caffemodel) path')
parser.add_argument('--data-output-path', help='Converted data output path')
parser.add_argument('--code-output-path', help='Save generated source to this path')
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2 changes: 1 addition & 1 deletion examples/imagenet/dataset.py
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Expand Up @@ -20,7 +20,7 @@ def process_image(img, scale, isotropic, crop, mean):
new_shape = tf.to_int32((scale / min_length) * img_shape)
else:
new_shape = tf.pack([scale, scale])
img = tf.image.resize_images(img, new_shape[0], new_shape[1])
img = tf.image.resize_images(img, new_shape)
# Center crop
# Use the slice workaround until crop_to_bounding_box supports deferred tensor shapes
# See: https://github.com/tensorflow/tensorflow/issues/521
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