Python ops.merge_boxes_with_multiple_labels方法代碼示例

本文整理匯總了Python中object_detection.utils.ops.merge_boxes_with_multiple_labels方法的典型用法代碼示例。如果您正苦於以下問題：Python ops.merge_boxes_with_multiple_labels方法的具體用法？Python ops.merge_boxes_with_multiple_labels怎麽用？Python ops.merge_boxes_with_multiple_labels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.merge_boxes_with_multiple_labels方法的7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: testMergeBoxesWithEmptyInputs

# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import merge_boxes_with_multiple_labels [as 別名]
def testMergeBoxesWithEmptyInputs(self):
    boxes = tf.zeros([0, 4], dtype=tf.float32)
    class_indices = tf.constant([], dtype=tf.int32)
    class_confidences = tf.constant([], dtype=tf.float32)
    num_classes = 5
    merged_boxes, merged_classes, merged_confidences, merged_box_indices = (
        ops.merge_boxes_with_multiple_labels(
            boxes, class_indices, class_confidences, num_classes))
    with self.test_session() as sess:
      (np_merged_boxes, np_merged_classes, np_merged_confidences,
       np_merged_box_indices) = sess.run(
           [merged_boxes, merged_classes, merged_confidences,
            merged_box_indices])
      self.assertAllEqual(np_merged_boxes.shape, [0, 4])
      self.assertAllEqual(np_merged_classes.shape, [0, 5])
      self.assertAllEqual(np_merged_confidences.shape, [0, 5])
      self.assertAllEqual(np_merged_box_indices.shape, [0])

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:19，代碼來源:ops_test.py

示例2: testMergeBoxesWithMultipleLabels

# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import merge_boxes_with_multiple_labels [as 別名]
def testMergeBoxesWithMultipleLabels(self):
    boxes = tf.constant(
        [[0.25, 0.25, 0.75, 0.75], [0.0, 0.0, 0.5, 0.75],
         [0.25, 0.25, 0.75, 0.75]],
        dtype=tf.float32)
    class_indices = tf.constant([0, 4, 2], dtype=tf.int32)
    num_classes = 5
    merged_boxes, merged_classes, merged_box_indices = (
        ops.merge_boxes_with_multiple_labels(boxes, class_indices, num_classes))
    expected_merged_boxes = np.array(
        [[0.25, 0.25, 0.75, 0.75], [0.0, 0.0, 0.5, 0.75]], dtype=np.float32)
    expected_merged_classes = np.array(
        [[1, 0, 1, 0, 0], [0, 0, 0, 0, 1]], dtype=np.int32)
    expected_merged_box_indices = np.array([0, 1], dtype=np.int32)
    with self.test_session() as sess:
      np_merged_boxes, np_merged_classes, np_merged_box_indices = sess.run(
          [merged_boxes, merged_classes, merged_box_indices])
      if np_merged_classes[0, 0] != 1:
        expected_merged_boxes = expected_merged_boxes[::-1, :]
        expected_merged_classes = expected_merged_classes[::-1, :]
        expected_merged_box_indices = expected_merged_box_indices[::-1, :]
      self.assertAllClose(np_merged_boxes, expected_merged_boxes)
      self.assertAllClose(np_merged_classes, expected_merged_classes)
      self.assertAllClose(np_merged_box_indices, expected_merged_box_indices)

開發者ID:cagbal，項目名稱:ros_people_object_detection_tensorflow，代碼行數:26，代碼來源:ops_test.py

示例3: testMergeBoxesWithMultipleLabels

# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import merge_boxes_with_multiple_labels [as 別名]
def testMergeBoxesWithMultipleLabels(self):
        boxes = tf.constant(
            [[0.25, 0.25, 0.75, 0.75], [0.0, 0.0, 0.5, 0.75],
             [0.25, 0.25, 0.75, 0.75]],
            dtype=tf.float32)
        class_indices = tf.constant([0, 4, 2], dtype=tf.int32)
        num_classes = 5
        merged_boxes, merged_classes, merged_box_indices = (
            ops.merge_boxes_with_multiple_labels(boxes, class_indices, num_classes))
        expected_merged_boxes = np.array(
            [[0.25, 0.25, 0.75, 0.75], [0.0, 0.0, 0.5, 0.75]], dtype=np.float32)
        expected_merged_classes = np.array(
            [[1, 0, 1, 0, 0], [0, 0, 0, 0, 1]], dtype=np.int32)
        expected_merged_box_indices = np.array([0, 1], dtype=np.int32)
        with self.test_session() as sess:
            np_merged_boxes, np_merged_classes, np_merged_box_indices = sess.run(
                [merged_boxes, merged_classes, merged_box_indices])
            if np_merged_classes[0, 0] != 1:
                expected_merged_boxes = expected_merged_boxes[::-1, :]
                expected_merged_classes = expected_merged_classes[::-1, :]
                expected_merged_box_indices = expected_merged_box_indices[::-1, :]
            self.assertAllClose(np_merged_boxes, expected_merged_boxes)
            self.assertAllClose(np_merged_classes, expected_merged_classes)
            self.assertAllClose(np_merged_box_indices, expected_merged_box_indices)

開發者ID:kujason，項目名稱:monopsr，代碼行數:26，代碼來源:ops_test.py

示例4: testMergeBoxesWithEmptyInputs

# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import merge_boxes_with_multiple_labels [as 別名]
def testMergeBoxesWithEmptyInputs(self):

    def graph_fn():
      boxes = tf.zeros([0, 4], dtype=tf.float32)
      class_indices = tf.constant([], dtype=tf.int32)
      class_confidences = tf.constant([], dtype=tf.float32)
      num_classes = 5
      merged_boxes, merged_classes, merged_confidences, merged_box_indices = (
          ops.merge_boxes_with_multiple_labels(
              boxes, class_indices, class_confidences, num_classes))
      return (merged_boxes, merged_classes, merged_confidences,
              merged_box_indices)

    # Running on CPU only as tf.unique is not supported on TPU.
    (np_merged_boxes, np_merged_classes, np_merged_confidences,
     np_merged_box_indices) = self.execute_cpu(graph_fn, [])
    self.assertAllEqual(np_merged_boxes.shape, [0, 4])
    self.assertAllEqual(np_merged_classes.shape, [0, 5])
    self.assertAllEqual(np_merged_confidences.shape, [0, 5])
    self.assertAllEqual(np_merged_box_indices.shape, [0])

開發者ID:tensorflow，項目名稱:models，代碼行數:22，代碼來源:ops_test.py

示例5: testMergeBoxesWithMultipleLabels

# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import merge_boxes_with_multiple_labels [as 別名]
def testMergeBoxesWithMultipleLabels(self):
    boxes = tf.constant(
        [[0.25, 0.25, 0.75, 0.75], [0.0, 0.0, 0.5, 0.75],
         [0.25, 0.25, 0.75, 0.75]],
        dtype=tf.float32)
    class_indices = tf.constant([0, 4, 2], dtype=tf.int32)
    class_confidences = tf.constant([0.8, 0.2, 0.1], dtype=tf.float32)
    num_classes = 5
    merged_boxes, merged_classes, merged_confidences, merged_box_indices = (
        ops.merge_boxes_with_multiple_labels(
            boxes, class_indices, class_confidences, num_classes))
    expected_merged_boxes = np.array(
        [[0.25, 0.25, 0.75, 0.75], [0.0, 0.0, 0.5, 0.75]], dtype=np.float32)
    expected_merged_classes = np.array(
        [[1, 0, 1, 0, 0], [0, 0, 0, 0, 1]], dtype=np.int32)
    expected_merged_confidences = np.array(
        [[0.8, 0, 0.1, 0, 0], [0, 0, 0, 0, 0.2]], dtype=np.float32)
    expected_merged_box_indices = np.array([0, 1], dtype=np.int32)
    with self.test_session() as sess:
      (np_merged_boxes, np_merged_classes, np_merged_confidences,
       np_merged_box_indices) = sess.run(
           [merged_boxes, merged_classes, merged_confidences,
            merged_box_indices])
      self.assertAllClose(np_merged_boxes, expected_merged_boxes)
      self.assertAllClose(np_merged_classes, expected_merged_classes)
      self.assertAllClose(np_merged_confidences, expected_merged_confidences)
      self.assertAllClose(np_merged_box_indices, expected_merged_box_indices)

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:29，代碼來源:ops_test.py

示例6: testMergeBoxesWithMultipleLabelsCornerCase

# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import merge_boxes_with_multiple_labels [as 別名]
def testMergeBoxesWithMultipleLabelsCornerCase(self):
    boxes = tf.constant(
        [[0, 0, 1, 1], [0, 1, 1, 1], [1, 0, 1, 1], [1, 1, 1, 1],
         [1, 1, 1, 1], [1, 0, 1, 1], [0, 1, 1, 1], [0, 0, 1, 1]],
        dtype=tf.float32)
    class_indices = tf.constant([0, 1, 2, 3, 2, 1, 0, 3], dtype=tf.int32)
    class_confidences = tf.constant([0.1, 0.9, 0.2, 0.8, 0.3, 0.7, 0.4, 0.6],
                                    dtype=tf.float32)
    num_classes = 4
    merged_boxes, merged_classes, merged_confidences, merged_box_indices = (
        ops.merge_boxes_with_multiple_labels(
            boxes, class_indices, class_confidences, num_classes))
    expected_merged_boxes = np.array(
        [[0, 0, 1, 1], [0, 1, 1, 1], [1, 0, 1, 1], [1, 1, 1, 1]],
        dtype=np.float32)
    expected_merged_classes = np.array(
        [[1, 0, 0, 1], [1, 1, 0, 0], [0, 1, 1, 0], [0, 0, 1, 1]],
        dtype=np.int32)
    expected_merged_confidences = np.array(
        [[0.1, 0, 0, 0.6], [0.4, 0.9, 0, 0],
         [0, 0.7, 0.2, 0], [0, 0, 0.3, 0.8]], dtype=np.float32)
    expected_merged_box_indices = np.array([0, 1, 2, 3], dtype=np.int32)
    with self.test_session() as sess:
      (np_merged_boxes, np_merged_classes, np_merged_confidences,
       np_merged_box_indices) = sess.run(
           [merged_boxes, merged_classes, merged_confidences,
            merged_box_indices])
      self.assertAllClose(np_merged_boxes, expected_merged_boxes)
      self.assertAllClose(np_merged_classes, expected_merged_classes)
      self.assertAllClose(np_merged_confidences, expected_merged_confidences)
      self.assertAllClose(np_merged_box_indices, expected_merged_box_indices)

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:33，代碼來源:ops_test.py

示例7: testMergeBoxesWithEmptyInputs

# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import merge_boxes_with_multiple_labels [as 別名]
def testMergeBoxesWithEmptyInputs(self):
    boxes = tf.constant([[]])
    class_indices = tf.constant([])
    num_classes = 5
    merged_boxes, merged_classes, merged_box_indices = (
        ops.merge_boxes_with_multiple_labels(boxes, class_indices, num_classes))
    with self.test_session() as sess:
      np_merged_boxes, np_merged_classes, np_merged_box_indices = sess.run(
          [merged_boxes, merged_classes, merged_box_indices])
      self.assertAllEqual(np_merged_boxes.shape, [0, 4])
      self.assertAllEqual(np_merged_classes.shape, [0, 5])
      self.assertAllEqual(np_merged_box_indices.shape, [0])

開發者ID:cagbal，項目名稱:ros_people_object_detection_tensorflow，代碼行數:14，代碼來源:ops_test.py

注：本文中的object_detection.utils.ops.merge_boxes_with_multiple_labels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。