def download_caffe_model(model_name, meta_info, dst_dir='./model'):
    """Download caffe model into disk by the given meta info """
    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)
Download caffe model into disk by the given meta info