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Python ops.normalized_to_image_coordinates方法代碼示例

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) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:19,代碼來源:ops_test.py

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) 
開發者ID:kujason,項目名稱:monopsr,代碼行數:19,代碼來源:ops_test.py


注:本文中的object_detection.utils.ops.normalized_to_image_coordinates方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。