本文整理汇总了Python中object_detection.utils.ops.reframe_box_masks_to_image_masks方法的典型用法代码示例。如果您正苦于以下问题：Python ops.reframe_box_masks_to_image_masks方法的具体用法？Python ops.reframe_box_masks_to_image_masks怎么用？Python ops.reframe_box_masks_to_image_masks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.ops的用法示例。
在下文中一共展示了ops.reframe_box_masks_to_image_masks方法的5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: testZeroImageOnEmptyMask
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import reframe_box_masks_to_image_masks [as 别名]
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks) 示例2: testMaskIsCenteredInImageWhenBoxIsCentered
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import reframe_box_masks_to_image_masks [as 别名]
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks) 示例3: testMaskOffCenterRemainsOffCenterInImage
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import reframe_box_masks_to_image_masks [as 别名]
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks) 示例4: _resize_detection_masks
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import reframe_box_masks_to_image_masks [as 别名]
def _resize_detection_masks(args):
detection_boxes, detection_masks, image_shape = args
detection_masks_reframed = ops.reframe_box_masks_to_image_masks(
detection_masks, detection_boxes, image_shape[0], image_shape[1])
return tf.cast(tf.greater(detection_masks_reframed, 0.5), tf.uint8) 示例5: testZeroBoxMasks
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import reframe_box_masks_to_image_masks [as 别名]
def testZeroBoxMasks(self):
box_masks = tf.zeros([0, 3, 3], dtype=tf.float32)
boxes = tf.zeros([0, 4], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllEqual(np_image_masks.shape, np.array([0, 4, 4]))