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Python box_coder.batch_decode方法代碼示例

本文整理匯總了Python中object_detection.core.box_coder.batch_decode方法的典型用法代碼示例。如果您正苦於以下問題:Python box_coder.batch_decode方法的具體用法?Python box_coder.batch_decode怎麽用?Python box_coder.batch_decode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.core.box_coder的用法示例。


在下文中一共展示了box_coder.batch_decode方法的3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_batch_decode

# 需要導入模塊: from object_detection.core import box_coder [as 別名]
# 或者: from object_detection.core.box_coder import batch_decode [as 別名]
def test_batch_decode(self):
    mock_anchor_corners = tf.constant(
        [[0, 0.1, 0.2, 0.3], [0.2, 0.4, 0.4, 0.6]], tf.float32)
    mock_anchors = box_list.BoxList(mock_anchor_corners)
    mock_box_coder = MockBoxCoder()

    expected_boxes = [[[0.0, 0.1, 0.5, 0.6], [0.5, 0.6, 0.7, 0.8]],
                      [[0.1, 0.2, 0.3, 0.4], [0.7, 0.8, 0.9, 1.0]]]

    encoded_boxes_list = [mock_box_coder.encode(
        box_list.BoxList(tf.constant(boxes)), mock_anchors)
                          for boxes in expected_boxes]
    encoded_boxes = tf.stack(encoded_boxes_list)
    decoded_boxes = box_coder.batch_decode(
        encoded_boxes, mock_box_coder, mock_anchors)

    with self.test_session() as sess:
      decoded_boxes_result = sess.run(decoded_boxes)
      self.assertAllClose(expected_boxes, decoded_boxes_result) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:21,代碼來源:box_coder_test.py

示例2: test_batch_decode

# 需要導入模塊: from object_detection.core import box_coder [as 別名]
# 或者: from object_detection.core.box_coder import batch_decode [as 別名]
def test_batch_decode(self):
        mock_anchor_corners = tf.constant(
            [[0, 0.1, 0.2, 0.3], [0.2, 0.4, 0.4, 0.6]], tf.float32)
        mock_anchors = box_list.BoxList(mock_anchor_corners)
        mock_box_coder = MockBoxCoder()

        expected_boxes = [[[0.0, 0.1, 0.5, 0.6], [0.5, 0.6, 0.7, 0.8]],
                          [[0.1, 0.2, 0.3, 0.4], [0.7, 0.8, 0.9, 1.0]]]

        encoded_boxes_list = [mock_box_coder.encode(
            box_list.BoxList(tf.constant(boxes)), mock_anchors)
            for boxes in expected_boxes]
        encoded_boxes = tf.stack(encoded_boxes_list)
        decoded_boxes = box_coder.batch_decode(
            encoded_boxes, mock_box_coder, mock_anchors)

        with self.test_session() as sess:
            decoded_boxes_result = sess.run(decoded_boxes)
            self.assertAllClose(expected_boxes, decoded_boxes_result) 
開發者ID:kujason,項目名稱:monopsr,代碼行數:21,代碼來源:box_coder_test.py

示例3: test_batch_decode

# 需要導入模塊: from object_detection.core import box_coder [as 別名]
# 或者: from object_detection.core.box_coder import batch_decode [as 別名]
def test_batch_decode(self):

    expected_boxes = [[[0.0, 0.1, 0.5, 0.6], [0.5, 0.6, 0.7, 0.8]],
                      [[0.1, 0.2, 0.3, 0.4], [0.7, 0.8, 0.9, 1.0]]]

    def graph_fn():
      mock_anchor_corners = tf.constant(
          [[0, 0.1, 0.2, 0.3], [0.2, 0.4, 0.4, 0.6]], tf.float32)
      mock_anchors = box_list.BoxList(mock_anchor_corners)
      mock_box_coder = MockBoxCoder()

      encoded_boxes_list = [mock_box_coder.encode(
          box_list.BoxList(tf.constant(boxes)), mock_anchors)
                            for boxes in expected_boxes]
      encoded_boxes = tf.stack(encoded_boxes_list)
      decoded_boxes = box_coder.batch_decode(
          encoded_boxes, mock_box_coder, mock_anchors)
      return decoded_boxes
    decoded_boxes_result = self.execute(graph_fn, [])
    self.assertAllClose(expected_boxes, decoded_boxes_result) 
開發者ID:tensorflow,項目名稱:models,代碼行數:22,代碼來源:box_coder_test.py


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