Spaces:
Running
Running
| # 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 | |