本文整理汇总了Python中object_detection.core.box_list_ops.sample_boxes_by_jittering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.sample_boxes_by_jittering方法的具体用法？Python box_list_ops.sample_boxes_by_jittering怎么用？Python box_list_ops.sample_boxes_by_jittering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.box_list_ops的用法示例。
在下文中一共展示了box_list_ops.sample_boxes_by_jittering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_sample_boxes_by_jittering
# 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 sample_boxes_by_jittering [as 别名]
def test_sample_boxes_by_jittering(self):
boxes = box_list.BoxList(
tf.constant([[0.1, 0.1, 0.4, 0.4],
[0.1, 0.1, 0.5, 0.5],
[0.6, 0.6, 0.8, 0.8],
[0.2, 0.2, 0.3, 0.3]], tf.float32))
sampled_boxes = box_list_ops.sample_boxes_by_jittering(
boxlist=boxes, num_boxes_to_sample=10)
iou = box_list_ops.iou(boxes, sampled_boxes)
iou_max = tf.reduce_max(iou, axis=0)
with self.test_session() as sess:
(np_sampled_boxes, np_iou_max) = sess.run([sampled_boxes.get(), iou_max])
self.assertAllEqual(np_sampled_boxes.shape, [10, 4])
self.assertAllGreater(np_iou_max, 0.5) 示例2: test_sample_boxes_by_jittering
# 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 sample_boxes_by_jittering [as 别名]
def test_sample_boxes_by_jittering(self):
def graph_fn():
boxes = box_list.BoxList(
tf.constant([[0.1, 0.1, 0.4, 0.4],
[0.1, 0.1, 0.5, 0.5],
[0.6, 0.6, 0.8, 0.8],
[0.2, 0.2, 0.3, 0.3]], tf.float32))
sampled_boxes = box_list_ops.sample_boxes_by_jittering(
boxlist=boxes, num_boxes_to_sample=10)
iou = box_list_ops.iou(boxes, sampled_boxes)
iou_max = tf.reduce_max(iou, axis=0)
return sampled_boxes.get(), iou_max
np_sampled_boxes, np_iou_max = self.execute(graph_fn, [])
self.assertAllEqual(np_sampled_boxes.shape, [10, 4])
self.assertAllGreater(np_iou_max, 0.3)