class_docstr: SSD: Single Shot MultiBox Detector
      
class_docstr_tok: ["SSD",":","Single","Shot","MultiBox","Detector"]
docstr: Generate merged summary of all the sub-summaries used inside the
  ssd network.
docstr_tok: ["Generate","merged","summary","of","all","the","sub-summaries","used","inside","the","ssd","network","."]
code: def summary(self):
      """
      Generate merged summary of all the sub-summaries used inside the
      ssd network.
      """
      summaries = [
          tf.summary.merge_all(key=self._losses_collections[0])
      ]
  
      return tf.summary.merge(summaries)
  
file_path: luminoth/luminoth/models/ssd/ssd.py
imports: import numpy
  import sonnet
  import tensorflow
  from sonnet.python.modules.conv import Conv2D
  from luminoth.models.ssd.feature_extractor import SSDFeatureExtractor
  from luminoth.models.ssd.proposal import SSDProposal
  from luminoth.models.ssd.target import SSDTarget
  from luminoth.models.ssd.utils import generate_raw_anchors, adjust_bboxes
  from luminoth.utils.losses import smooth_l1_loss
  from luminoth.utils.bbox_transform import clip_boxes
label_desc: Use image node_id 4 for calling the SSD obj's underlying member method code with example usage: obj.summary() and returns: tf