# Faster RCNN model on Paddle Serving ([简体中文](./README_CN.md)|English) ### Get The Faster RCNN Model ``` wget --no-check-certificate https://paddle-serving.bj.bcebos.com/pddet_demo/faster_rcnn_model.tar.gz wget --no-check-certificate https://paddle-serving.bj.bcebos.com/pddet_demo/infer_cfg.yml ``` If you want to have more detection models, please refer to [Paddle Detection Model Zoo](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.2/docs/MODEL_ZOO_cn.md) ### Start the service ``` tar xf faster_rcnn_model.tar.gz mv faster_rcnn_model/pddet *. GLOG_v=2 python -m paddle_serving_server_gpu.serve --model pddet_serving_model --port 9494 --gpu_id 0 ``` ### Perform prediction ``` python test_client.py pddet_client_conf/serving_client_conf.prototxt infer_cfg.yml 000000570688.jpg ``` ## 3. Result analysis

    
    

This is the input picture   

    
    

This is the picture after adding bbox. You can see that the client has done post-processing for the picture. In addition, the output/bbox.json also has the number and coordinate information of each box.