[Serving] PaddleSeg add triton serving && simple serving example (#1171)

* Update keypointdetection result docs

* Update im.copy() to im in examples

* Update new Api, fastdeploy::vision::Visualize to fastdeploy::vision

* Update SwapBackgroundSegmentation && SwapBackgroundMatting to SwapBackground

* Update README_CN.md

* Update README_CN.md

* Update preprocessor.h

* PaddleSeg supports triton serving

* Add PaddleSeg simple serving example

* Add PaddleSeg triton serving client code

* Update triton serving runtime config.pbtxt

* Update paddleseg grpc client

* Add paddle serving README

examples/vision/segmentation/paddleseg/python/serving/README.md

@@ -0,0 +1,36 @@
+English | [简体中文](README_CN.md)
+
+# PaddleSegmentation Python Simple Serving Demo
+
+
+## Environment
+
+- 1. Prepare environment and install FastDeploy Python whl, refer to [download_prebuilt_libraries](../../../../../../docs/en/build_and_install/download_prebuilt_libraries.md)
+
+Server:
+```bash
+# Download demo code
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd FastDeploy/examples/vision/segmentation/paddleseg/python/serving
+
+# Download PP_LiteSeg model
+wget  https://bj.bcebos.com/paddlehub/fastdeploy/PP_LiteSeg_B_STDC2_cityscapes_with_argmax_infer.tgz
+tar -xvf PP_LiteSeg_B_STDC2_cityscapes_with_argmax_infer.tgz
+
+# Launch server, change the configurations in server.py to select hardware, backend, etc.
+# and use --host, --port to specify IP and port
+fastdeploy simple_serving --app server:app
+```
+
+Client:
+```bash
+# Download demo code
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd FastDeploy/examples/vision/segmentation/paddleseg/python/serving
+
+# Download test image
+wget https://paddleseg.bj.bcebos.com/dygraph/demo/cityscapes_demo.png
+
+# Send request and get inference result (Please adapt the IP and port if necessary)
+python client.py
+```