本文整理匯總了Python中object_detection.core.preprocessor.random_vertical_flip方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.random_vertical_flip方法的具體用法？Python preprocessor.random_vertical_flip怎麽用？Python preprocessor.random_vertical_flip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_vertical_flip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: testRandomVerticalFlipWithEmptyBoxes
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_vertical_flip [as 別名]
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_) 示例2: test_build_random_vertical_flip
# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_vertical_flip [as 別名]
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)})