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Python preprocessor.random_vertical_flip方法代码示例

本文整理汇总了Python中object_detection.core.preprocessor.random_vertical_flip方法的典型用法代码示例。如果您正苦于以下问题:Python preprocessor.random_vertical_flip方法的具体用法?Python preprocessor.random_vertical_flip怎么用?Python preprocessor.random_vertical_flip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_vertical_flip方法的2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: testRandomVerticalFlipWithEmptyBoxes

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_vertical_flip [as 别名]
def testRandomVerticalFlipWithEmptyBoxes(self):
    preprocess_options = [(preprocessor.random_vertical_flip, {})]
    images = self.expectedImagesAfterNormalization()
    boxes = self.createEmptyTestBoxes()
    tensor_dict = {fields.InputDataFields.image: images,
                   fields.InputDataFields.groundtruth_boxes: boxes}
    images_expected1 = self.expectedImagesAfterUpDownFlip()
    boxes_expected = self.createEmptyTestBoxes()
    images_expected2 = images
    tensor_dict = preprocessor.preprocess(tensor_dict, preprocess_options)
    images = tensor_dict[fields.InputDataFields.image]
    boxes = tensor_dict[fields.InputDataFields.groundtruth_boxes]

    images_diff1 = tf.squared_difference(images, images_expected1)
    images_diff2 = tf.squared_difference(images, images_expected2)
    images_diff = tf.multiply(images_diff1, images_diff2)
    images_diff_expected = tf.zeros_like(images_diff)

    with self.test_session() as sess:
      (images_diff_, images_diff_expected_, boxes_,
       boxes_expected_) = sess.run([images_diff, images_diff_expected, boxes,
                                    boxes_expected])
      self.assertAllClose(boxes_, boxes_expected_)
      self.assertAllClose(images_diff_, images_diff_expected_) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:26,代码来源:preprocessor_test.py

示例2: test_build_random_vertical_flip

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_vertical_flip [as 别名]
def test_build_random_vertical_flip(self):
    preprocessor_text_proto = """
    random_vertical_flip {
      keypoint_flip_permutation: 1
      keypoint_flip_permutation: 0
      keypoint_flip_permutation: 2
      keypoint_flip_permutation: 3
      keypoint_flip_permutation: 5
      keypoint_flip_permutation: 4
    }
    """
    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_vertical_flip)
    self.assertEqual(args, {'keypoint_flip_permutation': (1, 0, 2, 3, 5, 4)}) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:18,代码来源:preprocessor_builder_test.py


注:本文中的object_detection.core.preprocessor.random_vertical_flip方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。