code: def _run_network(self):
      image = tf.placeholder(tf.float32, shape=self.image.shape)
      gt_boxes = tf.placeholder(tf.float32, shape=self.gt_boxes.shape)
      model = FasterRCNN(self.config)
  
      results = model(image, gt_boxes)
  
      with self.test_session() as sess:
          sess.run(tf.global_variables_initializer())
          results = sess.run(
              results,
              feed_dict={
                  gt_boxes: self.gt_boxes,
                  image: self.image,
              },
          )
          return results
  
file_path: luminoth/luminoth/models/fasterrcnn/fasterrcnn_test.py
imports: import numpy
  import tensorflow
  from easydict import EasyDict
  from luminoth.models.fasterrcnn import FasterRCNN
  from luminoth.utils.bbox_transform import clip_boxes
label_desc: Use image node_id 2 for calling the FasterRCNNNetworkTest obj's underlying member method code with example usage: obj._run_network() and returns: results