本文整理匯總了Python中object_detection.utils.ops.normalized_to_image_coordinates方法的典型用法代碼示例。如果您正苦於以下問題:Python ops.normalized_to_image_coordinates方法的具體用法?Python ops.normalized_to_image_coordinates怎麽用?Python ops.normalized_to_image_coordinates使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類object_detection.utils.ops
的用法示例。
在下文中一共展示了ops.normalized_to_image_coordinates方法的2個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_normalized_to_image_coordinates
# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import normalized_to_image_coordinates [as 別名]
def test_normalized_to_image_coordinates(self):
normalized_boxes = tf.placeholder(tf.float32, shape=(None, 1, 4))
normalized_boxes_np = np.array([[[0.0, 0.0, 1.0, 1.0]],
[[0.5, 0.5, 1.0, 1.0]]])
image_shape = tf.convert_to_tensor([1, 4, 4, 3], dtype=tf.int32)
absolute_boxes = ops.normalized_to_image_coordinates(normalized_boxes,
image_shape,
parallel_iterations=2)
expected_boxes = np.array([[[0, 0, 4, 4]],
[[2, 2, 4, 4]]])
with self.test_session() as sess:
absolute_boxes = sess.run(absolute_boxes,
feed_dict={normalized_boxes:
normalized_boxes_np})
self.assertAllEqual(absolute_boxes, expected_boxes)
示例2: test_normalized_to_image_coordinates
# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import normalized_to_image_coordinates [as 別名]
def test_normalized_to_image_coordinates(self):
normalized_boxes = tf.placeholder(tf.float32, shape=(None, 1, 4))
normalized_boxes_np = np.array([[[0.0, 0.0, 1.0, 1.0]],
[[0.5, 0.5, 1.0, 1.0]]])
image_shape = tf.convert_to_tensor([1, 4, 4, 3], dtype=tf.int32)
absolute_boxes = ops.normalized_to_image_coordinates(normalized_boxes,
image_shape,
parallel_iterations=2)
expected_boxes = np.array([[[0, 0, 4, 4]],
[[2, 2, 4, 4]]])
with self.test_session() as sess:
absolute_boxes = sess.run(absolute_boxes,
feed_dict={normalized_boxes:
normalized_boxes_np})
self.assertAllEqual(absolute_boxes, expected_boxes)