本文整理汇总了Python中object_detection.utils.np_mask_ops.area方法的典型用法代码示例。如果您正苦于以下问题：Python np_mask_ops.area方法的具体用法？Python np_mask_ops.area怎么用？Python np_mask_ops.area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.utils.np_mask_ops的用法示例。
在下文中一共展示了np_mask_ops.area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: testArea
# 需要导入模块: from object_detection.utils import np_mask_ops [as 别名]
# 或者: from object_detection.utils.np_mask_ops import area [as 别名]
def testArea(self):
areas = np_mask_ops.area(self.masks1)
expected_areas = np.array([8.0, 10.0], dtype=np.float32)
self.assertAllClose(expected_areas, areas) 示例2: area
# 需要导入模块: from object_detection.utils import np_mask_ops [as 别名]
# 或者: from object_detection.utils.np_mask_ops import area [as 别名]
def area(box_mask_list):
"""Computes area of masks.
Args:
box_mask_list: np_box_mask_list.BoxMaskList holding N boxes and masks
Returns:
a numpy array with shape [N*1] representing mask areas
"""
return np_mask_ops.area(box_mask_list.get_masks()) 示例3: intersection
# 需要导入模块: from object_detection.utils import np_mask_ops [as 别名]
# 或者: from object_detection.utils.np_mask_ops import area [as 别名]
def intersection(box_mask_list1, box_mask_list2):
"""Compute pairwise intersection areas between masks.
Args:
box_mask_list1: BoxMaskList holding N boxes and masks
box_mask_list2: BoxMaskList holding M boxes and masks
Returns:
a numpy array with shape [N*M] representing pairwise intersection area
"""
return np_mask_ops.intersection(box_mask_list1.get_masks(),
box_mask_list2.get_masks()) 示例4: ioa
# 需要导入模块: from object_detection.utils import np_mask_ops [as 别名]
# 或者: from object_detection.utils.np_mask_ops import area [as 别名]
def ioa(box_mask_list1, box_mask_list2):
"""Computes pairwise intersection-over-area between box and mask collections.
Intersection-over-area (ioa) between two masks mask1 and mask2 is defined as
their intersection area over mask2's area. Note that ioa is not symmetric,
that is, IOA(mask1, mask2) != IOA(mask2, mask1).
Args:
box_mask_list1: np_box_mask_list.BoxMaskList holding N boxes and masks
box_mask_list2: np_box_mask_list.BoxMaskList holding M boxes and masks
Returns:
a numpy array with shape [N, M] representing pairwise ioa scores.
"""
return np_mask_ops.ioa(box_mask_list1.get_masks(), box_mask_list2.get_masks())