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Python preprocessor.random_adjust_brightness方法代码示例

本文整理汇总了Python中object_detection.core.preprocessor.random_adjust_brightness方法的典型用法代码示例。如果您正苦于以下问题:Python preprocessor.random_adjust_brightness方法的具体用法?Python preprocessor.random_adjust_brightness怎么用?Python preprocessor.random_adjust_brightness使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在object_detection.core.preprocessor的用法示例。


在下文中一共展示了preprocessor.random_adjust_brightness方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: testRandomAdjustBrightness

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_adjust_brightness [as 别名]
def testRandomAdjustBrightness(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_brightness, {}))
    images_original = self.createTestImages()
    tensor_dict = {fields.InputDataFields.image: images_original}
    tensor_dict = preprocessor.preprocess(tensor_dict, preprocessing_options)
    images_bright = tensor_dict[fields.InputDataFields.image]
    image_original_shape = tf.shape(images_original)
    image_bright_shape = tf.shape(images_bright)
    with self.test_session() as sess:
      (image_original_shape_, image_bright_shape_) = sess.run(
          [image_original_shape, image_bright_shape])
      self.assertAllEqual(image_original_shape_, image_bright_shape_) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:21,代码来源:preprocessor_test.py

示例2: testRandomAdjustBrightness

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_adjust_brightness [as 别名]
def testRandomAdjustBrightness(self):

    def graph_fn():
      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_brightness, {}))
      images_original = self.createTestImages()
      tensor_dict = {fields.InputDataFields.image: images_original}
      tensor_dict = preprocessor.preprocess(tensor_dict, preprocessing_options)
      images_bright = tensor_dict[fields.InputDataFields.image]
      image_original_shape = tf.shape(images_original)
      image_bright_shape = tf.shape(images_bright)
      return [image_original_shape, image_bright_shape]

    (image_original_shape_,
     image_bright_shape_) = self.execute_cpu(graph_fn, [])
    self.assertAllEqual(image_original_shape_, image_bright_shape_) 
开发者ID:tensorflow,项目名称:models,代码行数:24,代码来源:preprocessor_test.py

示例3: test_build_random_adjust_brightness

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_adjust_brightness [as 别名]
def test_build_random_adjust_brightness(self):
    preprocessor_text_proto = """
    random_adjust_brightness {
      max_delta: 0.2
    }
    """
    preprocessor_proto = preprocessor_pb2.PreprocessingStep()
    text_format.Merge(preprocessor_text_proto, preprocessor_proto)
    function, args = preprocessor_builder.build(preprocessor_proto)
    self.assertEqual(function, preprocessor.random_adjust_brightness)
    self.assert_dictionary_close(args, {'max_delta': 0.2}) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:13,代码来源:preprocessor_builder_test.py


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