855d29dba61a53553e8fc89237773368fd7e9cdf,research/object_detection/dataset_tools/context_rcnn/generate_detection_data.py,GenerateDetectionDataFn,_run_inference_and_generate_detections,#GenerateDetectionDataFn#Any#,108

Before Change

      // There are already ground truth boxes for this image, just keep them.
      return [input_example]

    detection_boxes, detection_scores, num_detections = self._session.run(
        [self._boxes_node, self._scores_node, self._num_detections_node],
        feed_dict={self._input: [tfrecord_entry]})

    example = tf.train.Example()

    num_detections = int(num_detections[0])

After Change

      return [input_example]

    detections = self._detect_fn.signatures["serving_default"](
        (tf.expand_dims(tf.convert_to_tensor(tfrecord_entry), 0)))
    detection_boxes = detections["detection_boxes"]
    num_detections = detections["num_detections"]
    detection_scores = detections["detection_scores"]

    example = tf.train.Example()

    num_detections = int(num_detections[0])

Instances