code: def _build_summaries(self, predictions, states, images, datas):
      super()._build_summaries(predictions, states, images, datas)
  
      gt_heatmap, gt_lms, mask_index, gt_mask = datas
  
      tf.summary.image(
          "predictions/landmark-regression",
          tf.reduce_sum(predictions, -1)[..., None] * 255.0,
          max_outputs=min(FLAGS["batch_size"], 3),
      )
  
file_path: insightface/reconstruction/ostec/external/landmark_detector/networks.py
imports: import tensorflow
  from external.landmark_detector import utils, models, data_provider
  from tensorflow.python.platform import tf_logging
  from external.landmark_detector.flags import FLAGS
label_desc: Use image node_id 5 for calling the DNFaceMultiView obj's underlying member method code with example usage: obj._build_summaries(predictions, states, images, datas) without return types