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⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end...

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- 🔥 **2022.11.09 20:30~21:30,《覆盖云边端全场景,150+热门模型快速部署》。微信扫码报名** - 🔥 **2022.11.10 20:30~21:30,《瑞芯微、晶晨、恩智浦等10+AI硬件部署,直达产业落地》。微信扫码报名** - 🔥 **2022.11.10 19:00~20:00,《10+热门模型在RK3588、RK3568部署实战》。微信扫码报名**

Hi Thanks for sharing this project. I trained ppyolo_tiny with[ this repo](https://github.com/PaddlePaddle/PaddleDetection). then I converted trained model to ONNX with this [link](https://github-com.translate.goog/PaddlePaddle/PaddleDetection/blob/release/2.4/deploy/EXPORT_ONNX_MODEL.md?_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en) in during converting model to inference model and...

paddlex v1.3.0 ├── model.yml ├── __model__ └── __params__ ============== paddlex v2.1.0 ├── model.pdiparams ├── model.pdiparams.info ├── model.pdmodel ├── model.yml └── pipeline.yml

### PR types(PR类型) Model ### Describe 添加VSR(视频超分)系列模型,包括 - `PP-MSVSR` - `EDVR` - `BasicVSR` 模型效果如下:

- 为所有公共预处理函数增加`InferShape`,支持在预处理前推导Shape

git clone https://github.com/PaddlePaddle/FastDeploy.git cd FastDeploy mkdir build && cd build cmake .. -DENABLE_ORT_BACKEND=ON \ -DENABLE_PADDLE_BACKEND=ON \ -DENABLE_OPENVINO_BACKEND=ON \ -DCMAKE_INSTALL_PREFIX=${PWD}/compiled_fastdeploy_sdk \ -DENABLE_VISION=ON \ -DENABLE_TEXT=ON make -j12 make install 按照以上执行后打开compiled_fastdeploy_sdk里的代码 引入都报错的

非常期待FastDeploy Runtime 的C++推理示例

用paddleocr训练出来的三个模型,模型1为验证码识别,模型2为身份证件识别,模型3为动物识别 能否多个模型用开启一个web服务(即只用一个端口8866),通过url路径参数区分模型? 这种场景,怎么使用FastDeploy部署哈?