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Python preprocessor.random_pixel_value_scale方法代码示例

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

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_pixel_value_scale [as 别名]
def testRandomPixelValueScale(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_pixel_value_scale, {}))
    images = self.createTestImages()
    tensor_dict = {fields.InputDataFields.image: images}
    tensor_dict = preprocessor.preprocess(tensor_dict, preprocessing_options)
    images_min = tf.to_float(images) * 0.9 / 255.0
    images_max = tf.to_float(images) * 1.1 / 255.0
    images = tensor_dict[fields.InputDataFields.image]
    values_greater = tf.greater_equal(images, images_min)
    values_less = tf.less_equal(images, images_max)
    values_true = tf.fill([1, 4, 4, 3], True)
    with self.test_session() as sess:
      (values_greater_, values_less_, values_true_) = sess.run(
          [values_greater, values_less, values_true])
      self.assertAllClose(values_greater_, values_true_)
      self.assertAllClose(values_less_, values_true_) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:25,代码来源:preprocessor_test.py

示例2: test_build_random_pixel_value_scale

# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_pixel_value_scale [as 别名]
def test_build_random_pixel_value_scale(self):
    preprocessor_text_proto = """
    random_pixel_value_scale {
      minval: 0.8
      maxval: 1.2
    }
    """
    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_pixel_value_scale)
    self.assert_dictionary_close(args, {'minval': 0.8, 'maxval': 1.2}) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:14,代码来源:preprocessor_builder_test.py


注:本文中的object_detection.core.preprocessor.random_pixel_value_scale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。