Create README.md

python/examples/imagenet/README.md

+## Image Classification
+
+([简体中文](./README_CN.md)|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
+```
+### HTTP Infer
+
+launch server side
+```
+python image_classification_service.py ResNet50_vd_model workdir 9393 #cpu inference service
+```
+```
+python image_classification_service_gpu.py ResNet50_vd_model workdir 9393 #gpu inference service
+```
+
+
+client send inference request
+```
+python image_http_client.py
+```
+### RPC Infer
+
+launch server side
+```
+python -m paddle_serving_server.serve --model ResNet50_vd_model --port 9393 #cpu inference service
+```
+
+```
+python -m paddle_serving_server_gpu.serve --model ResNet50_vd_model --port 9393 --gpu_ids 0 #gpu inference service
+```
+
+client send inference request
+```
+python image_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt
+```
+*the port of server side in this example is 9393, the sample data used by client side is in the folder ./data. These parameter can be modified in practice*