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![FastDeploy](docs/logo/fastdeploy-opaque.png)
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**FastDeploy**是一款**简单易用**的推理部署工具箱。覆盖业界主流**优质预训练模型**并提供**开箱即用**的开发体验,包括图像分类、目标检测、图像分割、人脸检测、人体关键点识别、文字识别等多任务,满足开发者**多场景****多硬件**、**多平台**的快速部署需求。
## 发版历史
- [v0.2.0] 2022.08.18 全面开源服务端部署代码支持40+视觉模型在CPU/GPU以及通过TensorRT加速部署
- **[v0.2.0](https://github.com/PaddlePaddle/FastDeploy/releases/tag/release%2F0.2.0) 2022.08.18** 全面开源服务端部署代码支持40+视觉模型在CPU/GPU以及通过TensorRT加速部署
## 内容目录
* [服务端模型列表](#fastdeploy-server-models)
* [服务端快速开始](#fastdeploy-quick-start)
* [快速安装](#fastdeploy-quick-start)
* [Python预测示例](#fastdeploy-quick-start-python)
* [C++预测示例](#fastdeploy-quick-start-cpp)
* [轻量化SDK快速实现端侧AI推理部署](#fastdeploy-edge-sdk)
* [边缘侧部署](#fastdeploy-edge-sdk-arm-linux)
* [移动端部署](#fastdeploy-edge-sdk-ios-android)
* [自定义模型部署](#fastdeploy-edge-sdk-custom)
* [ARM CPU端部署](#fastdeploy-edge-sdk-arm-linux)
* [ARM CPU移动端部署](#fastdeploy-edge-sdk-ios-android)
* [ARM CPU自定义模型](#fastdeploy-edge-sdk-custom)
* [NPU端部署](#fastdeploy-edge-sdk-npu)
* [社区交流](#fastdeploy-community)
* [Acknowledge](#fastdeploy-acknowledge)
* [License](#fastdeploy-license)
## 1. 服务端模型列表 🔥🔥🔥
## 1. 服务端模型列表 🔥🔥🔥
<div id="fastdeploy-server-models"></div>
符号说明: (1) ✅: 已经支持; (2) ❔: 计划未来支持; (3) ❌: 暂不支持; (4) contrib: 外部模型
| <font size=2> 任务场景 </font> | <font size=2> 模型 | <font size=2> API | <font size=2> Linux | <font size=2> Linux | <font size=2> Win | <font size=2> Win | <font size=2> Mac | <font size=2> Mac | <font size=2> Linux | <font size=2> Linux |
| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: |
符号说明: (1) ✅: 已经支持; (2) ❔: 未来支持; (3) ❌: 暂不支持; (4) --: 暂不考虑;<br>
链接说明「模型列」会跳转到模型推理Demo代码
| 任务场景 | 模型 | API | Linux | Linux | Win | Win | Mac | Mac | Linux | Linux |
| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: |:--------: |
| --- | --- | --- | <font size=2> X86 CPU | <font size=2> NVIDIA GPU | <font size=2> Intel CPU | <font size=2> NVIDIA GPU | <font size=2> Intel CPU | <font size=2> Arm CPU | <font size=2> AArch64 CPU | <font size=2> NVIDIA Jetson |
| <font size=2> Classification | <font size=2> [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/PPHGNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) |✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/PPLCNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/PPLCNetv2](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/PPHGNet](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) |✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Classification | <font size=2> [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | <font size=2> [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/PPYOLOE](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/PPYOLO](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/PPYOLOv2](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❔ |
| <font size=2> Detection | <font size=2> [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | <font size=2> [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/YOLOX](./examples/vision/detection/yolox) | <font size=2> [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/YOLOv7](./examples/vision/detection/yolov7) | <font size=2> [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/YOLOv6](./examples/vision/detection/yolov6) | <font size=2> [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/YOLOv5](./examples/vision/detection/yolov5) | <font size=2> [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/YOLOR](./examples/vision/detection/yolor) | <font size=2> [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | <font size=2> [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/YOLOv5Lite](./examples/vision/detection/yolov5lite) | <font size=2> [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Contrib/NanoDetPlus](./examples/vision/detection/nanodet_plus) | <font size=2> [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [Megvii-BaseDetection/YOLOX](./examples/vision/detection/yolox) | <font size=2> [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [WongKinYiu/YOLOv7](./examples/vision/detection/yolov7) | <font size=2> [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [meituan/YOLOv6](./examples/vision/detection/yolov6) | <font size=2> [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [ultralytics/YOLOv5](./examples/vision/detection/yolov5) | <font size=2> [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [WongKinYiu/YOLOR](./examples/vision/detection/yolor) | <font size=2> [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [WongKinYiu/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | <font size=2> [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [ppogg/YOLOv5Lite](./examples/vision/detection/yolov5lite) | <font size=2> [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Detection | <font size=2> [RangiLyu/NanoDetPlus](./examples/vision/detection/nanodet_plus) | <font size=2> [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Segmentation | <font size=2> [PaddleSeg/PPLiteSeg](./examples/vision/segmentation/paddleseg) | <font size=2> [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Segmentation | <font size=2> [PaddleSeg/PPHumanSegLite](./examples/vision/segmentation/paddleseg) | <font size=2> [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Segmentation | <font size=2> [PaddleSeg/HRNet](./examples/vision/segmentation/paddleseg) | <font size=2> [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Segmentation | <font size=2> [PaddleSeg/PPHumanSegServer](./examples/vision/segmentation/paddleseg) | <font size=2> [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Segmentation | <font size=2> [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | <font size=2> [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Segmentation | <font size=2> [PaddleSeg/Deeplabv3](./examples/vision/segmentation/paddleseg) | <font size=2> [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [Contrib/RetinaFace](./examples/vision/facedet/retinaface) | <font size=2> [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [Contrib/UltraFace](./examples/vision/facedet/utltraface) | [<font size=2> Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [Contrib/YOLOv5Face](./examples/vision/facedet/yolov5face) | <font size=2> [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [Contrib/SCRFD](./examples/vision/facedet/scrfd) | <font size=2> [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [Contrib/ArcFace](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [Contrib/CosFace](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [Contrib/PartialFC](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [Contrib/VPL](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Matting | <font size=2> [Contrib/MODNet](./examples/vision/matting/modnet) | <font size=2> [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [biubug6/RetinaFace](./examples/vision/facedet/retinaface) | <font size=2> [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [Linzaer/UltraFace](./examples/vision/facedet/ultraface) | [<font size=2> Python](./examples/vision/facedet/utltraface/python)/[C++](./examples/vision/facedet/utltraface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [deepcam-cn/YOLOv5Face](./examples/vision/facedet/yolov5face) | <font size=2> [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceDetection | <font size=2> [deepinsight/SCRFD](./examples/vision/facedet/scrfd) | <font size=2> [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [deepinsight/ArcFace](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [deepinsight/CosFace](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [deepinsight/PartialFC](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> FaceRecognition | <font size=2> [deepinsight/VPL](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
| <font size=2> Matting | <font size=2> [ZHKKKe/MODNet](./examples/vision/matting/modnet) | <font size=2> [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
## 2. 服务端快速开始
<div id="fastdeploy-quick-start"></div>
<details>
<summary>💡 快速安装 FastDeploy Python/C++ 库 </summary>
### 2.1 快速安装 FastDeploy Python/C++ 库
用户根据自己的python版本选择安装对应的wheel包详细的wheel目录请参考 [python安装文档](docs/compile/prebuilt_wheels.md) .
| 预编译包语言 |下载位置 |
| --- | --- |
| Python |[Python预编译库下载地址](docs/compile/prebuilt_wheels.md) |
| C++ | [C++预编译库下载地址](docs/compile/prebuilt_libraries.md) |
```bash
根据开发语言,选择下载/安装预编译包:
* Python预编译包根据电脑Python版本选择安装对应的wheel包以CPU + Python3.8为例:
```
pip install https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl
```
或获取C++预编译库,更多可用的预编译库请参考 [C++预编译库下载](docs/compile/prebuilt_libraries.md)
```bash
* C++预编译包获取C++预编译库以CPU 为例:
```
wget https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-0.2.0.tgz
```
准备目标检测模型和测试图片
```bash
wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
tar xvf ppyoloe_crn_l_300e_coco.tgz
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
```
</details>
### 2.1 Python预测示例
### 2.2 Python预测示例
<div id="fastdeploy-quick-start-python"></div>
```python
@@ -122,7 +140,9 @@ print(result)
vis_im = vision.vis_detection(im, result, score_threshold=0.5)
cv2.imwrite("vis_image.jpg", vis_im)
```
### 2.2 C++预测示例
### 2.3 C++预测示例
<div id="fastdeploy-quick-start-cpp"></div>
```C++
@@ -140,51 +160,53 @@ int main(int argc, char* argv[]) {
cv::imwrite("vis_image.jpg", vis_im);
}
```
更多部署案例请参考[视觉模型部署示例](examples/vision) .
## 3. 轻量化SDK快速实现端侧AI推理部署 📱
<div id="fastdeploy-edge-sdk"></div>
| <font size=2> 任务场景 | <font size=2> 模型 | <font size=2> 大小(MB) | <font size=2>边缘端 | <font size=2>移动端 | <font size=2> 移动端 |
| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: |
| --- | --- | --- | <font size=2> Linux | <font size=2> Android | <font size=2> iOS |
| --- | --- | --- | <font size=2> ARM CPU | <font size=2> ARM CPU | <font size=2> ARM CPU |
| Classification | PP-LCNet | 11.9 | ✅ | ✅ | ✅ |
| Classification | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ |
| Classification | EfficientNet | 31.4 | ✅ | ✅ | ✅ |
| Classification | GhostNet | 20.8 | ✅ | ✅ | ✅ |
| Classification | MobileNetV1 | 17 | ✅ | ✅ | ✅ |
| Classification | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ |
| Classification | MobileNetV3 | 22 | ✅ | ✅ | ✅ |
| Classification | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ |
| Classification | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ |
| Classification | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ |
| Classification | PP-HGNet | 59 | ✅ | ✅ | ✅ |
| Classification | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ |
| Detection | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ |
| Detection | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ |
| Detection | CenterNet | 4.8 | ✅ | ✅ | ✅ |
| Detection | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ |
| Detection | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ |
| Detection | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ |
| Detection | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ |
| Detection | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ |
| Detection | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ |
| Detection | YOLOv5s | 29.3 | ✅ | ✅ | ✅ |
| FaceDetection | BlazeFace | 1.5 | ✅ | | |
| FaceDetection | RetinaFace | 1.7 | ✅ | | |
| KeypointsDetection | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ |
| Segmentation | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ |
| Segmentation | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ |
| Segmentation | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ |
| Segmentation | PP-HumanSeg-Server | 107.2 | | ✅ | |
| Segmentation | Unet | 53.7 | | ✅ | |
| OCR | PP-OCRv1 | 2.3+4.4 | ✅ | ✅ | ✅ |
| OCR | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ |
| OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ |
| OCR | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ |
| 任务场景 | 模型 | 大小(MB) | Linux | Android | iOS |Linux | Linux | Linux |更新中...|
|:------------------:|:----------------------------:|:---------------------:|:---------------------:|:----------------------:|:---------------------:| :------------------:|:----------------------------:|:---------------------:|:---------------------:|
| --- | --- | --- | ARM CPU | ARM CPU | ARM CPU |瑞芯微NPU<br>RV1109<br>RV1126<br>RK1808 | 晶晨NPU <br>A311D<br>S905D<br>C308X | 恩智浦NPU<br> i.MX 8M Plus |更新中...
| Classification | PP-LCNet | 11.9 | ✅ | | ✅ |-- | -- | -- |--|
| Classification | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | EfficientNet | 31.4 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | GhostNet | 20.8 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | MobileNetV1 | 17 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | MobileNetV3 | 22 | ✅ | ✅ | ✅ |❔ | ❔ | ❔ |❔|
| Classification | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ |
| Classification | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | PP-HGNet | 59 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Classification | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ❔|
| Detection | CenterNet | 4.8 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Detection | YOLOv5s | 29.3 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| FaceDetection | BlazeFace | 1.5 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| FaceDetection | RetinaFace | 1.7 | ✅ | | |-- | -- | -- |--|
| KeypointsDetection | PP-TinyPose | 5.5 | ✅ | | |❔ | ❔ | ❔ |❔|
| Segmentation | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Segmentation | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Segmentation | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Segmentation | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| Segmentation | Unet | 53.7 | | ✅ | |-- | -- | -- |--|
| OCR | PP-OCRv1 | 2.3+4.4 | | ✅ | |-- | -- | -- |--|
| OCR | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ |-- | -- | -- |--|
| OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ |❔ | ❔ | ❔ |❔|
| OCR | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ |-- | -- | -- |--|
### 3.1 端侧部署
### 3.1 边缘侧部署
<div id="fastdeploy-edge-sdk-arm-linux"></div>
- ARM Linux 系统
@@ -194,17 +216,26 @@ int main(int argc, char* argv[]) {
- [Python 服务化部署](./docs/ARM-Linux-Python-SDK-Serving.md)
### 3.2 移动端部署
<div id="fastdeploy-edge-sdk-ios-android"></div>
- [iOS 系统部署](./docs/iOS-SDK.md)
- [Android 系统部署](./docs/Android-SDK.md)
### 3.3 自定义模型部署
<div id="fastdeploy-edge-sdk-custom"></div>
- [快速实现个性化模型替换](./docs/Replace-Model-With-Anther-One.md)
### 3.4 NPU部署
<div id="fastdeploy-edge-sdk-npu"></div>
- [瑞芯微-NPU/晶晨-NPU/恩智浦-NPU](https://github.com/PaddlePaddle/Paddle-Lite-Demo/tree/develop/object_detection/linux/picodet_detection)
## 4. 社区交流
<div id="fastdeploy-community"></div>
- **加入社区👬:** 微信扫描二维码后,填写问卷加入交流群,与开发者共同讨论推理部署痛点问题
@@ -214,12 +245,13 @@ int main(int argc, char* argv[]) {
</div>
## 5. Acknowledge
<div id="fastdeploy-acknowledge"></div>
本项目中SDK生成和下载使用了[EasyEdge](https://ai.baidu.com/easyedge/app/openSource)中的免费开放能力,再次表示感谢。
## 6. License
<div id="fastdeploy-license"></div>
FastDeploy遵循[Apache-2.0开源协议](./LICENSE)。