本文整理匯總了Python中object_detection.core.preprocessor.random_pixel_value_scale方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.random_pixel_value_scale方法的具體用法？Python preprocessor.random_pixel_value_scale怎麽用？Python preprocessor.random_pixel_value_scale使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類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個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: testRandomPixelValueScale
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_pixel_value_scale [as 別名]
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_) 示例2: test_build_random_pixel_value_scale
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_pixel_value_scale [as 別名]
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})