preprocessor_test.py 文件源码

def testRandomBlackPatches(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_black_patches, {
        'size_to_image_ratio': 0.5
    }))
    images = self.createTestImages()
    tensor_dict = {fields.InputDataFields.image: images}
    blacked_tensor_dict = preprocessor.preprocess(tensor_dict,
                                                  preprocessing_options)
    blacked_images = blacked_tensor_dict[fields.InputDataFields.image]
    images_shape = tf.shape(images)
    blacked_images_shape = tf.shape(blacked_images)

    with self.test_session() as sess:
      (images_shape_, blacked_images_shape_) = sess.run(
          [images_shape, blacked_images_shape])
      self.assertAllEqual(images_shape_, blacked_images_shape_)