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Python box_list_ops.select_random_box方法代码示例

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, 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.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) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:18,代码来源:box_list_ops_test.py

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) 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:12,代码来源:box_list_ops_test.py

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) 
开发者ID:tensorflow,项目名称:models,代码行数:16,代码来源:box_list_ops_test.py

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) 
开发者ID:tensorflow,项目名称:models,代码行数:12,代码来源:box_list_ops_test.py


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