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

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* 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
This commit is contained in:
huangjianhui
2023-01-30 09:34:38 +08:00
committed by GitHub
parent 62e051e21d
commit 294607fc4a
17 changed files with 820 additions and 1 deletions
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fastdeploy/vision/segmentation/ppseg/preprocessor.h
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@@ -31,7 +31,8 @@ class FASTDEPLOY_DECL PaddleSegPreprocessor {
/** \brief Process the input image and prepare input tensors for runtime
*
* \param[in] images The input image data list, all the elements are returned by cv::imread()
* \param[in] outputs The output tensors which will feed in runtime, include image
* \param[in] outputs The output tensors which will feed in runtime
* \param[in] imgs_info The original input images shape info map, key is "shape_info", value is vector<array<int, 2>> a{{height, width}}
* \return true if the preprocess successed, otherwise false
*/
virtual bool Run(