code: def add_VGG16_conv5_body(model):
      model.Conv("data", "conv1_1", 3, 64, 3, pad=1, stride=1)
      model.Relu("conv1_1", "conv1_1")
      model.Conv("conv1_1", "conv1_2", 64, 64, 3, pad=1, stride=1)
      model.Relu("conv1_2", "conv1_2")
      model.MaxPool("conv1_2", "pool1", kernel=2, pad=0, stride=2)
      model.Conv("pool1", "conv2_1", 64, 128, 3, pad=1, stride=1)
      model.Relu("conv2_1", "conv2_1")
      model.Conv("conv2_1", "conv2_2", 128, 128, 3, pad=1, stride=1)
      model.Relu("conv2_2", "conv2_2")
      model.MaxPool("conv2_2", "pool2", kernel=2, pad=0, stride=2)
      model.StopGradient("pool2", "pool2")
      model.Conv("pool2", "conv3_1", 128, 256, 3, pad=1, stride=1)
      model.Relu("conv3_1", "conv3_1")
      model.Conv("conv3_1", "conv3_2", 256, 256, 3, pad=1, stride=1)
      model.Relu("conv3_2", "conv3_2")
      model.Conv("conv3_2", "conv3_3", 256, 256, 3, pad=1, stride=1)
      model.Relu("conv3_3", "conv3_3")
      model.MaxPool("conv3_3", "pool3", kernel=2, pad=0, stride=2)
      model.Conv("pool3", "conv4_1", 256, 512, 3, pad=1, stride=1)
      model.Relu("conv4_1", "conv4_1")
      model.Conv("conv4_1", "conv4_2", 512, 512, 3, pad=1, stride=1)
      model.Relu("conv4_2", "conv4_2")
      model.Conv("conv4_2", "conv4_3", 512, 512, 3, pad=1, stride=1)
      model.Relu("conv4_3", "conv4_3")
      model.MaxPool("conv4_3", "pool4", kernel=2, pad=0, stride=2)
      model.Conv("pool4", "conv5_1", 512, 512, 3, pad=1, stride=1)
      model.Relu("conv5_1", "conv5_1")
      model.Conv("conv5_1", "conv5_2", 512, 512, 3, pad=1, stride=1)
      model.Relu("conv5_2", "conv5_2")
      model.Conv("conv5_2", "conv5_3", 512, 512, 3, pad=1, stride=1)
      blob_out = model.Relu("conv5_3", "conv5_3")
      return blob_out, 512, 1.0 / 16.0
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  from detectron.core.config import cfg
label_desc: Use image node_id 1 for calling a global function with example usage: add_VGG16_conv5_body(model) and returns: blob_out,  int,  unknown