code: def download_caffe_model(model_name, meta_info, dst_dir='./model'):
      
      if not os.path.isdir(dst_dir):
          os.mkdir(dst_dir)
      model_name = os.path.join(dst_dir, model_name)
  
      assert 'prototxt' in meta_info, "missing prototxt url"
      proto_url, proto_sha1 = meta_info['prototxt']
      prototxt = mx.gluon.utils.download(proto_url,
                                         model_name+'_deploy.prototxt',
                                         sha1_hash=proto_sha1)
  
      assert 'caffemodel' in meta_info, "mssing caffemodel url"
      caffemodel_url, caffemodel_sha1 = meta_info['caffemodel']
      caffemodel = mx.gluon.utils.download(caffemodel_url,
                                           model_name+'.caffemodel',
                                           sha1_hash=caffemodel_sha1)
      assert 'mean' in meta_info, 'no mean info'
      mean = meta_info['mean']
      if isinstance(mean[0], str):
          mean_url, mean_sha1 = mean
          mean = mx.gluon.utils.download(mean_url,
                                         model_name+'_mean.binaryproto',
                                         sha1_hash=mean_sha1)
      return (prototxt, caffemodel, mean)
docs: Download caffe model into disk by the given meta info