本文整理汇总了Python中object_detection.core.keypoint_ops.to_normalized_coordinates方法的典型用法代码示例。如果您正苦于以下问题:Python keypoint_ops.to_normalized_coordinates方法的具体用法?Python keypoint_ops.to_normalized_coordinates怎么用?Python keypoint_ops.to_normalized_coordinates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类object_detection.core.keypoint_ops
的用法示例。
在下文中一共展示了keypoint_ops.to_normalized_coordinates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: test_to_normalized_coordinates
# 需要导入模块: from object_detection.core import keypoint_ops [as 别名]
# 或者: from object_detection.core.keypoint_ops import to_normalized_coordinates [as 别名]
def test_to_normalized_coordinates(self):
keypoints = tf.constant([
[[10., 30.], [30., 45.]],
[[20., 0.], [40., 60.]]
])
output = keypoint_ops.to_normalized_coordinates(
keypoints, 40, 60)
expected_keypoints = tf.constant([
[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]
])
with self.test_session() as sess:
output_, expected_keypoints_ = sess.run([output, expected_keypoints])
self.assertAllClose(output_, expected_keypoints_)
示例2: test_to_normalized_coordinates_already_normalized
# 需要导入模块: from object_detection.core import keypoint_ops [as 别名]
# 或者: from object_detection.core.keypoint_ops import to_normalized_coordinates [as 别名]
def test_to_normalized_coordinates_already_normalized(self):
keypoints = tf.constant([
[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]
])
output = keypoint_ops.to_normalized_coordinates(
keypoints, 40, 60)
with self.test_session() as sess:
with self.assertRaisesOpError('assertion failed'):
sess.run(output)