preprocessor_test.py 文件源码

def testNormalizeImage(self):
    preprocess_options = [(preprocessor.normalize_image, {
        'original_minval': 0,
        'original_maxval': 256,
        'target_minval': -1,
        'target_maxval': 1
    })]
    images = self.createTestImages()
    tensor_dict = {fields.InputDataFields.image: images}
    tensor_dict = preprocessor.preprocess(tensor_dict, preprocess_options)
    images = tensor_dict[fields.InputDataFields.image]
    images_expected = self.expectedImagesAfterNormalization()

    with self.test_session() as sess:
      (images_, images_expected_) = sess.run(
          [images, images_expected])
      images_shape_ = images_.shape
      images_expected_shape_ = images_expected_.shape
      expected_shape = [1, 4, 4, 3]
      self.assertAllEqual(images_expected_shape_, images_shape_)
      self.assertAllEqual(images_shape_, expected_shape)
      self.assertAllClose(images_, images_expected_)