本文整理汇总了Python中object_detection.core.box_list_ops.select_random_box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.select_random_box方法的具体用法？Python box_list_ops.select_random_box怎么用？Python box_list_ops.select_random_box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.select_random_box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_select_random_box
# 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 select_random_box [as 别名]
def test_select_random_box(self):
boxes = [[0., 0., 1., 1.],
[0., 1., 2., 3.],
[0., 2., 3., 4.]]
corners = tf.constant(boxes, dtype=tf.float32)
boxlist = box_list.BoxList(corners)
random_bbox, valid = box_list_ops.select_random_box(boxlist)
with self.test_session() as sess:
random_bbox_out, valid_out = sess.run([random_bbox, valid])
norm_small = any(
[np.linalg.norm(random_bbox_out - box) < 1e-6 for box in boxes])
self.assertTrue(norm_small)
self.assertTrue(valid_out) 示例2: test_select_random_box_with_empty_boxlist
# 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 select_random_box [as 别名]
def test_select_random_box_with_empty_boxlist(self):
corners = tf.constant([], shape=[0, 4], dtype=tf.float32)
boxlist = box_list.BoxList(corners)
random_bbox, valid = box_list_ops.select_random_box(boxlist)
with self.test_session() as sess:
random_bbox_out, valid_out = sess.run([random_bbox, valid])
expected_bbox_out = np.array([[-1., -1., -1., -1.]], dtype=np.float32)
self.assertAllEqual(expected_bbox_out, random_bbox_out)
self.assertFalse(valid_out) 示例3: test_select_random_box
# 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 select_random_box [as 别名]
def test_select_random_box(self):
boxes = [[0., 0., 1., 1.],
[0., 1., 2., 3.],
[0., 2., 3., 4.]]
def graph_fn():
corners = tf.constant(boxes, dtype=tf.float32)
boxlist = box_list.BoxList(corners)
random_bbox, valid = box_list_ops.select_random_box(boxlist)
return random_bbox, valid
random_bbox_out, valid_out = self.execute(graph_fn, [])
norm_small = any(
[np.linalg.norm(random_bbox_out - box) < 1e-6 for box in boxes])
self.assertTrue(norm_small)
self.assertTrue(valid_out) 示例4: test_select_random_box_with_empty_boxlist
# 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 select_random_box [as 别名]
def test_select_random_box_with_empty_boxlist(self):
def graph_fn():
corners = tf.constant([], shape=[0, 4], dtype=tf.float32)
boxlist = box_list.BoxList(corners)
random_bbox, valid = box_list_ops.select_random_box(boxlist)
return random_bbox, valid
random_bbox_out, valid_out = self.execute_cpu(graph_fn, [])
expected_bbox_out = np.array([[-1., -1., -1., -1.]], dtype=np.float32)
self.assertAllEqual(expected_bbox_out, random_bbox_out)
self.assertFalse(valid_out)