tensorflow/models

File vgg_preprocessing.py has 271 lines of code (exceeds 250 allowed). Consider refactoring.

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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at

Function preprocess_image has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def preprocess_image(image, output_height, output_width, is_training=False,

Function preprocess_for_train has 5 arguments (exceeds 4 allowed). Consider refactoring.

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def preprocess_for_train(image,

Function _crop has 5 arguments (exceeds 4 allowed). Consider refactoring.

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def _crop(image, offset_height, offset_width, crop_height, crop_width):

Identical blocks of code found in 2 locations. Consider refactoring.

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def _random_crop(image_list, crop_height, crop_width):
  """Crops the given list of images.

  The function applies the same crop to each image in the list. This can be
  effectively applied when there are multiple image inputs of the same

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Identical blocks of code found in 2 locations. Consider refactoring.

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def _crop(image, offset_height, offset_width, crop_height, crop_width):
  """Crops the given image using the provided offsets and sizes.

  Note that the method doesn't assume we know the input image size but it does
  assume we know the input image rank.

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Identical blocks of code found in 2 locations. Consider refactoring.

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def _smallest_size_at_least(height, width, smallest_side):
  """Computes new shape with the smallest side equal to `smallest_side`.

  Computes new shape with the smallest side equal to `smallest_side` while
  preserving the original aspect ratio.

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Identical blocks of code found in 2 locations. Consider refactoring.

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def _mean_image_subtraction(image, means):
  """Subtracts the given means from each image channel.

  For example:
    means = [123.68, 116.779, 103.939]

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Identical blocks of code found in 2 locations. Consider refactoring.

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def _aspect_preserving_resize(image, smallest_side):
  """Resize images preserving the original aspect ratio.

  Args:
    image: A 3-D image `Tensor`.

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Identical blocks of code found in 2 locations. Consider refactoring.

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def _central_crop(image_list, crop_height, crop_width):
  """Performs central crops of the given image list.

  Args:
    image_list: a list of image tensors of the same dimension but possibly

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