當前位置: 首頁>>代碼示例>>Python>>正文


Python keypoint_ops.to_normalized_coordinates方法代碼示例

本文整理匯總了Python中object_detection.core.keypoint_ops.to_normalized_coordinates方法的典型用法代碼示例。如果您正苦於以下問題:Python keypoint_ops.to_normalized_coordinates方法的具體用法?Python keypoint_ops.to_normalized_coordinates怎麽用?Python keypoint_ops.to_normalized_coordinates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: test_to_normalized_coordinates

# 需要導入模塊: from object_detection.core import keypoint_ops [as 別名]
# 或者: from object_detection.core.keypoint_ops import to_normalized_coordinates [as 別名]
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_) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:17,代碼來源:keypoint_ops_test.py

示例2: test_to_normalized_coordinates_already_normalized

# 需要導入模塊: from object_detection.core import keypoint_ops [as 別名]
# 或者: from object_detection.core.keypoint_ops import to_normalized_coordinates [as 別名]
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) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:13,代碼來源:keypoint_ops_test.py


注:本文中的object_detection.core.keypoint_ops.to_normalized_coordinates方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。