本文整理汇总了Python中object_detection.core.box_list_ops._copy_extra_fields方法的典型用法代码示例。如果您正苦于以下问题：Python box_list_ops._copy_extra_fields方法的具体用法？Python box_list_ops._copy_extra_fields怎么用？Python box_list_ops._copy_extra_fields使用的例子？那么恭喜您, 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.box_list_ops的用法示例。
在下文中一共展示了box_list_ops._copy_extra_fields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_copy_extra_fields
# 需要导入模块: from object_detection.core import box_list_ops [as 别名]
# 或者: from object_detection.core.box_list_ops import _copy_extra_fields [as 别名]
def test_copy_extra_fields(self):
tensor1 = np.array([[1], [4]])
tensor2 = np.array([[1, 1], [2, 2]])
def graph_fn():
corners = tf.constant([[0, 0, 1, 1],
[0, 0.1, 1, 1.1]], tf.float32)
boxes = box_list.BoxList(corners)
boxes.add_field('tensor1', tf.constant(tensor1))
boxes.add_field('tensor2', tf.constant(tensor2))
new_boxes = box_list.BoxList(tf.constant([[0, 0, 10, 10],
[1, 3, 5, 5]], tf.float32))
new_boxes = box_list_ops._copy_extra_fields(new_boxes, boxes)
return new_boxes.get_field('tensor1'), new_boxes.get_field('tensor2')
tensor1_out, tensor2_out = self.execute_cpu(graph_fn, [])
self.assertAllClose(tensor1, tensor1_out)
self.assertAllClose(tensor2, tensor2_out) 示例2: test_copy_extra_fields
# 需要导入模块: from object_detection.core import box_list_ops [as 别名]
# 或者: from object_detection.core.box_list_ops import _copy_extra_fields [as 别名]
def test_copy_extra_fields(self):
corners = tf.constant([[0, 0, 1, 1],
[0, 0.1, 1, 1.1]], tf.float32)
boxes = box_list.BoxList(corners)
tensor1 = np.array([[1], [4]])
tensor2 = np.array([[1, 1], [2, 2]])
boxes.add_field('tensor1', tf.constant(tensor1))
boxes.add_field('tensor2', tf.constant(tensor2))
new_boxes = box_list.BoxList(tf.constant([[0, 0, 10, 10],
[1, 3, 5, 5]], tf.float32))
new_boxes = box_list_ops._copy_extra_fields(new_boxes, boxes)
with self.test_session() as sess:
self.assertAllClose(tensor1, sess.run(new_boxes.get_field('tensor1')))
self.assertAllClose(tensor2, sess.run(new_boxes.get_field('tensor2')))