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Python box_list_ops.non_max_suppression方法代码示例

本文整理汇总了Python中object_detection.core.box_list_ops.non_max_suppression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.non_max_suppression方法的具体用法?Python box_list_ops.non_max_suppression怎么用?Python box_list_ops.non_max_suppression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object_detection.core.box_list_ops的用法示例。


在下文中一共展示了box_list_ops.non_max_suppression方法的4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_with_invalid_scores_field

# 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 non_max_suppression [as 别名]
def test_with_invalid_scores_field(self):
    corners = tf.constant([[0, 0, 1, 1],
                           [0, 0.1, 1, 1.1],
                           [0, -0.1, 1, 0.9],
                           [0, 10, 1, 11],
                           [0, 10.1, 1, 11.1],
                           [0, 100, 1, 101]], tf.float32)
    boxes = box_list.BoxList(corners)
    boxes.add_field('scores', tf.constant([.9, .75, .6, .95, .5]))
    iou_thresh = .5
    max_output_size = 3
    nms = box_list_ops.non_max_suppression(
        boxes, iou_thresh, max_output_size)
    with self.test_session() as sess:
      with self.assertRaisesWithPredicateMatch(
          errors.InvalidArgumentError, 'scores has incompatible shape'):
        sess.run(nms.get()) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:19,代码来源:box_list_ops_test.py

示例2: test_select_from_three_clusters

# 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 non_max_suppression [as 别名]
def test_select_from_three_clusters(self):
    corners = tf.constant([[0, 0, 1, 1],
                           [0, 0.1, 1, 1.1],
                           [0, -0.1, 1, 0.9],
                           [0, 10, 1, 11],
                           [0, 10.1, 1, 11.1],
                           [0, 100, 1, 101]], tf.float32)
    boxes = box_list.BoxList(corners)
    boxes.add_field('scores', tf.constant([.9, .75, .6, .95, .5, .3]))
    iou_thresh = .5
    max_output_size = 3

    exp_nms = [[0, 10, 1, 11],
               [0, 0, 1, 1],
               [0, 100, 1, 101]]
    nms = box_list_ops.non_max_suppression(
        boxes, iou_thresh, max_output_size)
    with self.test_session() as sess:
      nms_output = sess.run(nms.get())
      self.assertAllClose(nms_output, exp_nms) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:22,代码来源:box_list_ops_test.py

示例3: test_select_at_most_two_boxes_from_three_clusters

# 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 non_max_suppression [as 别名]
def test_select_at_most_two_boxes_from_three_clusters(self):
    corners = tf.constant([[0, 0, 1, 1],
                           [0, 0.1, 1, 1.1],
                           [0, -0.1, 1, 0.9],
                           [0, 10, 1, 11],
                           [0, 10.1, 1, 11.1],
                           [0, 100, 1, 101]], tf.float32)
    boxes = box_list.BoxList(corners)
    boxes.add_field('scores', tf.constant([.9, .75, .6, .95, .5, .3]))
    iou_thresh = .5
    max_output_size = 2

    exp_nms = [[0, 10, 1, 11],
               [0, 0, 1, 1]]
    nms = box_list_ops.non_max_suppression(
        boxes, iou_thresh, max_output_size)
    with self.test_session() as sess:
      nms_output = sess.run(nms.get())
      self.assertAllClose(nms_output, exp_nms) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:21,代码来源:box_list_ops_test.py

示例4: test_select_at_most_thirty_boxes_from_three_clusters

# 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 non_max_suppression [as 别名]
def test_select_at_most_thirty_boxes_from_three_clusters(self):
    corners = tf.constant([[0, 0, 1, 1],
                           [0, 0.1, 1, 1.1],
                           [0, -0.1, 1, 0.9],
                           [0, 10, 1, 11],
                           [0, 10.1, 1, 11.1],
                           [0, 100, 1, 101]], tf.float32)
    boxes = box_list.BoxList(corners)
    boxes.add_field('scores', tf.constant([.9, .75, .6, .95, .5, .3]))
    iou_thresh = .5
    max_output_size = 30

    exp_nms = [[0, 10, 1, 11],
               [0, 0, 1, 1],
               [0, 100, 1, 101]]
    nms = box_list_ops.non_max_suppression(
        boxes, iou_thresh, max_output_size)
    with self.test_session() as sess:
      nms_output = sess.run(nms.get())
      self.assertAllClose(nms_output, exp_nms) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:22,代码来源:box_list_ops_test.py


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