imagenet

Image Classification

(简体中文|English)

The example uses the ResNet50_vd model to perform the imagenet 1000 classification task.

Get model config and sample dataset

sh get_model.sh

Install preprocess module

pip3 install paddle_serving_app

Inference Service(Support BRPC-Client/GRPC-Client/Http-Client)

launch server side

python3 -m paddle_serving_server.serve --model ResNet50_vd_model --port 9696 #cpu inference service

python3 -m paddle_serving_server.serve --model ResNet50_vd_model --port 9696 --gpu_ids 0 #gpu inference service

BRPC-Client

client send inference request

python3 resnet50_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt

*the port of server side in this example is 9696

GRPC-Client/Http-Client

client send inference request

python3 resnet50_http_client.py ResNet50_vd_client_config/serving_client_conf.prototxt