preprocessor_test.py 文件源码

def testRandomAdjustHue(self):
    preprocessing_options = []
    preprocessing_options.append((preprocessor.normalize_image, {
        'original_minval': 0,
        'original_maxval': 255,
        'target_minval': 0,
        'target_maxval': 1
    }))
    preprocessing_options.append((preprocessor.random_adjust_hue, {}))
    images_original = self.createTestImages()
    tensor_dict = {fields.InputDataFields.image: images_original}
    tensor_dict = preprocessor.preprocess(tensor_dict, preprocessing_options)
    images_hue = tensor_dict[fields.InputDataFields.image]
    image_original_shape = tf.shape(images_original)
    image_hue_shape = tf.shape(images_hue)
    with self.test_session() as sess:
      (image_original_shape_, image_hue_shape_) = sess.run(
          [image_original_shape, image_hue_shape])
      self.assertAllEqual(image_original_shape_, image_hue_shape_)