本文整理匯總了Python中object_detection.core.preprocessor.subtract_channel_mean方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.subtract_channel_mean方法的具體用法？Python preprocessor.subtract_channel_mean怎麽用？Python preprocessor.subtract_channel_mean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.subtract_channel_mean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: testSubtractChannelMean
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import subtract_channel_mean [as 別名]
def testSubtractChannelMean(self):
"""Tests whether channel means have been subtracted."""
with self.test_session():
image = tf.zeros((240, 320, 3))
means = [1, 2, 3]
actual = preprocessor.subtract_channel_mean(image, means=means)
actual = actual.eval()
self.assertTrue((actual[:, :, 0] == -1).all())
self.assertTrue((actual[:, :, 1] == -2).all())
self.assertTrue((actual[:, :, 2] == -3).all()) 示例2: test_build_subtract_channel_mean
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import subtract_channel_mean [as 別名]
def test_build_subtract_channel_mean(self):
preprocessor_text_proto = """
subtract_channel_mean {
means: [1.0, 2.0, 3.0]
}
"""
preprocessor_proto = preprocessor_pb2.PreprocessingStep()
text_format.Merge(preprocessor_text_proto, preprocessor_proto)
function, args = preprocessor_builder.build(preprocessor_proto)
self.assertEqual(function, preprocessor.subtract_channel_mean)
self.assertEqual(args, {'means': [1.0, 2.0, 3.0]})