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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
#
# 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.
# ==============================================================================
"""Utilities for manipulating files.
"""
import os
import numpy as np
import PIL
from tensorflow.python.platform import gfile
import cv2
exists = lambda path: gfile.Exists(path)
fopen = lambda path, mode: gfile.Open(path, mode)
makedirs = lambda path: gfile.MakeDirs(path)
listdir = lambda path: gfile.ListDir(path)
copyfile = lambda a, b, o: gfile.Copy(a,b,o)
def write_image(image_path, rgb):
ext = os.path.splitext(image_path)[1]
with gfile.GFile(image_path, 'w') as f:
img_str = cv2.imencode(ext, rgb[:,:,::-1])[1].tostring()
f.write(img_str)
def read_image(image_path, type='rgb'):
with fopen(image_path, 'r') as f:
I = PIL.Image.open(f)
II = np.array(I)
if type == 'rgb':
II = II[:,:,:3]
return II
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