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![⚡️FastDeploy](docs/logo/fastdeploy-opaque.png)
</p>
<p align="center">
<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
<a href="https://github.com/PaddlePaddle/FastDeploy/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/FastDeploy?color=ffa"></a>
<a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a>
<a href=""><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
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<a href="https://pypi.org/project/FastDeploy-python/"><img src="https://img.shields.io/pypi/dm/FastDeploy-python?color=9cf"></a>
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</p>
**⚡️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、人脸识别、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。
## 近期更新
- 🔥 **2022.8.18：发布FastDeploy [release/v0.2.0](https://github.com/PaddlePaddle/FastDeploy/releases/tag/release%2F0.2.0)** <br>
- **服务端全新升级：一套SDK，覆盖全量模型**
- 发布基于x86 CPU、NVIDIA GPU的易用、高性能推理引擎SDK，推理速度大幅提升
- 支持ONNXRuntime、Paddle Inference、TensorRT推理引擎
- 支持YOLOv7、YOLOv6、YOLOv5、PP-YOLOE等目标检测最优模型及[Demo示例](examples/vision/detection/)
- 支持人脸检测、人脸识别、实时人像抠图、图像分割等40+重点模型及[Demo示例](examples/vision/)
- 支持Python API 和 C++ API
- 开发AI模型部署代码量减少～60%
- **端侧继ARM CPU后，延伸至瑞芯微、晶晨、恩智浦等NPU能力**
- 发布轻量化目标检测[Picodet-NPU部署Demo](https://github.com/PaddlePaddle/Paddle-Lite-Demo/tree/develop/object_detection/linux/picodet_detection)，提供低门槛INT8全量化能力
## 内容目录
* **服务端**
* [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)
* [服务端模型列表](#fastdeploy-server-models)
* **端侧**
* [端侧文档](#fastdeploy-edge-doc)
* [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)
* [端侧模型列表](#fastdeploy-edge-sdk)
* [社区交流](#fastdeploy-community)
* [Acknowledge](#fastdeploy-acknowledge)
* [License](#fastdeploy-license)
## 1. 服务端快速开始
<div id="fastdeploy-quick-start"></div>
### 1.1 快速安装 FastDeploy Python/C++ 库
#### 环境依赖
- Linux x64/aarch64
- Windows 10
- Mac OSX x86/arm64
- cuda >= 11.2
- cudnn >= 8.0
- python 3.6\~3.9(Windows 10 3.8\~3.9)
#### 安装 CPU Python 版本
```
pip install numpy opencv-python fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
```
#### 安装 GPU Python 版本
```
pip install numpy opencv-python fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
```
#### 安装 C++ 版本
- 参考[C++预编译库下载](docs/quick_start/CPP_prebuilt_libraries.md)文档
#### 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
```
### 1.2 Python预测示例
<div id="fastdeploy-quick-start-python"></div>
```python
# GPU/TensorRT部署参考 examples/vision/detection/paddledetection/python
import cv2
import fastdeploy.vision as vision
model = vision.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel",
"ppyoloe_crn_l_300e_coco/model.pdiparams",
"ppyoloe_crn_l_300e_coco/nfer_cfg.yml")
im = cv2.imread("000000014439.jpg")
result = model.predict(im.copy())
print(result)
vis_im = vision.vis_detection(im, result, score_threshold=0.5)
cv2.imwrite("vis_image.jpg", vis_im)
```
### 1.3 C++预测示例
<div id="fastdeploy-quick-start-cpp"></div>
```C++
// GPU/TensorRT部署参考 examples/vision/detection/paddledetection/cpp
#include "fastdeploy/vision.h"
int main(int argc, char* argv[]) {
namespace vision = fastdeploy::vision;
auto model = vision::detection::PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel",
"ppyoloe_crn_l_300e_coco/model.pdiparams",
"ppyoloe_crn_l_300e_coco/infer_cfg.yml");
auto im = cv::imread("000000014439.jpg");
vision::DetectionResult res;
model.Predict(&im, &res)
auto vis_im = vision::Visualize::VisDetection(im, res, 0.5);
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) .
## 2. 服务端模型列表 🔥🔥🔥
<div id="fastdeploy-server-models"></div>
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> 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> [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> [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/ultraface/python)/[C++](./examples/vision/facedet/ultraface/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) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ |
## 3. 端侧文档
<div id="fastdeploy-edge-doc"></div>
### 3.1 端侧部署
<div id="fastdeploy-edge-sdk-arm-linux"></div>
- ARM Linux 系统
- [C++ Inference部署（含视频流）](./docs/ARM-CPU/ARM-Linux-CPP-SDK-Inference.md)
- [C++ 服务化部署](./docs/ARM-CPU/ARM-Linux-CPP-SDK-Serving.md)
- [Python Inference部署](./docs/ARM-CPU/ARM-Linux-Python-SDK-Inference.md)
- [Python 服务化部署](./docs/ARM-CPU/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/ARM-CPU/iOS-SDK.md)
- [Android 系统部署](./docs/ARM-CPU/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/ARM-CPU/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. 端侧模型列表
<div id="fastdeploy-edge-sdk"></div>
| 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 | ✅ | ✅ | ✅ |-- | -- | -- |--|
## 5. 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
<div align="center">
<img src="https://user-images.githubusercontent.com/54695910/175854075-2c0f9997-ed18-4b17-9aaf-1b43266d3996.jpeg" width = "200" height = "200" />
</div>
## 6. 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。
## 7. License
<div id="fastdeploy-license"></div>
FastDeploy遵循[Apache-2.0开源协议](./LICENSE)。
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