You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
45 lines
1.5 KiB
45 lines
1.5 KiB
# 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
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# ==============================================================================
|
|
"""Provides utilities for preprocessing."""
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
|
|
import tensorflow.compat.v1 as tf
|
|
tf.disable_v2_behavior()
|
|
import tf_slim as slim
|
|
|
|
|
|
def preprocess_image(image, output_height, output_width, is_training):
|
|
"""Preprocesses the given image.
|
|
|
|
Args:
|
|
image: A `Tensor` representing an image of arbitrary size.
|
|
output_height: The height of the image after preprocessing.
|
|
output_width: The width of the image after preprocessing.
|
|
is_training: `True` if we're preprocessing the image for training and
|
|
`False` otherwise.
|
|
|
|
Returns:
|
|
A preprocessed image.
|
|
"""
|
|
image = tf.to_float(image)
|
|
image = tf.image.resize_image_with_crop_or_pad(
|
|
image, output_width, output_height)
|
|
image = tf.sub(image, 128.0)
|
|
image = tf.div(image, 128.0)
|
|
return image
|