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English | [简体中文](README_CN.md)
![⚡️FastDeploy](https://user-images.githubusercontent.com/31974251/185771818-5d4423cd-c94c-4a49-9894-bc7a8d1c29d0.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>
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</p>
**⚡️FastDeploy** is an **accessible and efficient** deployment Development Toolkit. It covers 🔥**critical AI models** in the industry and provides 📦**out-of-the-box** deployment experience. It covers image classification, object detection, image segmentation, face detection, face recognition, human keypoint detection, OCR, semantic understanding and other tasks to meet developers' industrial deployment needs for **multi-scenario**, **multi-hardware** and **multi-platform** .
| Potrait Segmentation | Image Matting | Semantic Segmentation | Real-Time Matting |
|:----------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------:|
| <img src='https://user-images.githubusercontent.com/54695910/188054718-6395321c-8937-4fa0-881c-5b20deb92aaa.gif' height="126px" width="190px"> | <img src='https://user-images.githubusercontent.com/54695910/188058231-a5fe1ce1-0a38-460f-9582-e0b881514908.gif' height="126px" width="190px"> | <img src='https://user-images.githubusercontent.com/54695910/188054711-6119f0e7-d741-43b1-b273-9493d103d49f.gif' height="126px" width="190px"> | <img src='https://user-images.githubusercontent.com/54695910/188054691-e4cb1a70-09fe-4691-bc62-5552d50bd853.gif' height="126px" width="190px"> |
| **OCR** | **Behavior Recognition** | **Object Detection** | **Pose Estimation** |
| <img src='https://user-images.githubusercontent.com/54695910/188054669-a85996ba-f7f3-4646-ae1f-3b7e3e353e7d.gif' height="126px" width="190px"> | <img src='https://user-images.githubusercontent.com/48054808/173034825-623e4f78-22a5-4f14-9b83-dc47aa868478.gif' height="126px" width="190px"> | <img src='https://user-images.githubusercontent.com/54695910/188054680-2f8d1952-c120-4b67-88fc-7d2d7d2378b4.gif' height="126px" width="190px" > | <img src='https://user-images.githubusercontent.com/54695910/188054671-394db8dd-537c-42b1-9d90-468d7ad1530e.gif' height="126px" width="190px"> |
| **Face Alignment** | **3D Object Detection** | **Face Editing** | **Image Animation** |
| <img src='https://user-images.githubusercontent.com/54695910/188059460-9845e717-c30a-4252-bd80-b7f6d4cf30cb.png' height="126px" width="190px"> | <img src='https://user-images.githubusercontent.com/54695910/188270227-1a4671b3-0123-46ab-8d0f-0e4132ae8ec0.gif' height="126px" width="190px"> | <img src='https://user-images.githubusercontent.com/54695910/188054663-b0c9c037-6d12-4e90-a7e4-e9abf4cf9b97.gif' height="126px" width="126px"> | <img src='https://user-images.githubusercontent.com/54695910/188056800-2190e05e-ad1f-40ef-bf71-df24c3407b2d.gif' height="126px" width="190px"> |
## 📣 Recent Updates
- 🔥 **2022.10.15：Release FastDeploy [release v0.3.0](https://github.com/PaddlePaddle/FastDeploy/tree/release/0.3.0)** <br>
- **New server-side deployment upgrade: support more CV model and NLP model**
- Integrate OpenVINO and provide a seamless deployment experience with other inference engines include TensorRT、ONNX Runtime、Paddle Inference；
- Support [one-click model quantization](tools/quantization) to improve model inference speed by 1.5 to 2 times on CPU & GPU platform. The supported quantized model are YOLOv7, YOLOv6, YOLOv5, etc.
- New CV models include PP-OCRv3, PP-OCRv2, PP-TinyPose, PP-Matting, etc. and provides [end-to-end deployment demos](examples/vision/detection/)
- New information extraction model is UIE, and provides [end-to-end deployment demos](examples/text/uie).
- 🔥 **2022.8.18：Release FastDeploy [release v0.2.0](https://github.com/PaddlePaddle/FastDeploy/tree/release%2F0.2.0)** <br>
- **New server-side deployment upgrade: faster inference performance, support more CV model**
- Release high-performance inference engine SDK based on x86 CPUs and NVIDIA GPUs, with significant increase in inference speed
- Integrate Paddle Inference, ONNX Runtime, TensorRT and other inference engines and provide a seamless deployment experience
- Supports full range of object detection models such as YOLOv7, YOLOv6, YOLOv5, PP-YOLOE and provides [end-to-end deployment demos](examples/vision/detection/)
- Support over 40 key models and [demo examples](examples/vision/) including face detection, face recognition, real-time portrait matting, image segmentation.
- Support deployment in both Python and C++
- **Supports Rockchip, Amlogic, NXP and other NPU chip deployment capabilities on edge device deployment**
- Release Lightweight Object Detection [Picodet-NPU deployment demo](https://github.com/PaddlePaddle/Paddle-Lite-Demo/tree/develop/object_detection/linux/picodet_detection), providing the full quantized inference capability for INT8.
## Contents
* **Data Center and Cloud Deployment**
* [A Quick Start for Python SDK](#fastdeploy-quick-start-python)
* [A Quick Start for C++ SDK](#fastdeploy-quick-start-cpp)
* [Supported Data Center and Cloud Model List](#fastdeploy-server-models)
* **Mobile and Edge Device Deployment**
* [EasyEdge Edge-Side Deployment](#fastdeploy-edge-sdk-arm-linux)
* [EasyEdge Deployment on Mobile Devices](#fastdeploy-edge-sdk-ios-android)
* [EasyEdge Customised Model Deployment](#fastdeploy-edge-sdk-custom)
* [Paddle Lite NPU Deployment](#fastdeploy-edge-sdk-npu)
* [Supported Mobile and Edge Model List](#fastdeploy-edge-sdk)
* [Community](#fastdeploy-community)
* [Acknowledge](#fastdeploy-acknowledge)
* [License](#fastdeploy-license)
## Data Center and Cloud Deployment
### A Quick Start for Python SDK
<div id="fastdeploy-quick-start-python"></div>
#### Installation
##### Prerequisites
- CUDA >= 11.2
- cuDNN >= 8.0
- python >= 3.6
- OS: Linux x86_64/macOS/Windows 10
##### Install Fastdeploy SDK with CPU&GPU support
```bash
pip install fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
```
##### [Conda Installation (Recommended)](docs/cn/build_and_install/download_prebuilt_libraries.md)
```bash
conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=8.2
```
##### Install Fastdeploy SDK with only CPU support
```bash
pip install fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
```
#### Python Inference Example
* Prepare models and pictures
```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
```
* Test inference results
```python
# For deployment of GPU/TensorRT, please refer to 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/infer_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)
```
### A Quick Start for C++ SDK
#### Installation
- Please refer to [C++ Prebuilt Libraries Download](docs/cn/build_and_install/download_prebuilt_libraries.md)
#### C++ Inference Example
* Prepare models and pictures
```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
```
* Test inference results
```C++
// For GPU/TensorRT deployment, please refer to 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);
return 0;
}
```
For more deployment models, please refer to [Vision Model Deployment Examples](examples/vision) .
### Supported Data Center and Cloud Model List🔥🔥🔥
<div id="fastdeploy-server-models"></div>
Notes: ✅: already supported; ❔: to be supported in the future; ❌: not supported now;
| Task | Model | 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/PP-LCNet](./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/PP-LCNetv2](./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/PP-HGNet](./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/PP-YOLOE](./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/PP-YOLO](./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/PP-YOLOv2](./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> OCR | <font size=2> [PaddleOCR/PP-OCRv2](./examples/vision/ocr) | <font size=2> [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/ocr/PP-OCRv3/cpp)| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|
| <font size=2> OCR | <font size=2> [PaddleOCR/PP-OCRv3](./examples/vision/ocr) | <font size=2> [Python](./examples/vision/ocr/PP-OCRv3/python)/[C++](./examples/vision/ocr/PP-OCRv3/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|
| <font size=2> Segmentation | <font size=2> [PaddleSeg/PP-LiteSeg](./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/PP-HumanSegLite](./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/PP-HumanSegServer](./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> Face Detection | <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> Face Detection | <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> Face Detection | <font size=2> [insightface/SCRFD](./examples/vision/facedet/scrfd) | <font size=2> [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| <font size=2> Face Recognition | <font size=2> [insightface/ArcFace](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| <font size=2> Face Recognition | <font size=2> [insightface/CosFace](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| <font size=2> Face Recognition | <font size=2> [insightface/PartialFC](./examples/vision/faceid/insightface) | <font size=2> [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| <font size=2> Face Recognition | <font size=2> [insightface/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) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|
| <font size=2> Matting | <font size=2> [PaddleSeg/PP-Matting](./examples/vision/matting/ppmatting) | <font size=2> [Python](./examples/vision/matting/ppmatting/python)/[C++](./examples/vision/matting/ppmatting/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|
| <font size=2> Matting | <font size=2> [PaddleSeg/PP-HumanMatting](./examples/vision/matting/modnet) | <font size=2> [Python](./examples/vision/matting/ppmatting/python)/[C++](./examples/vision/matting/ppmatting/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|
| <font size=2> Matting | <font size=2> [PaddleSeg/ModNet](./examples/vision/matting/modnet) | <font size=2> [Python](./examples/vision/matting/ppmatting/python)/[C++](./examples/vision/matting/ppmatting/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|
| <font size=2> Information Extraction | <font size=2> [PaddleNLP/UIE](./examples/text/uie) | <font size=2> [Python](./examples/text/uie/python)/[C++](./examples/text/uie/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|
## Edge-Side Deployment
<div id="fastdeploy-edge-doc"></div>
### EasyEdge Edge-Side Deployment
<div id="fastdeploy-edge-sdk-arm-linux"></div>
- ARM Linux System
- [C++ Inference Deployment（includes videostream）](./docs/arm_cpu/arm_linux_cpp_sdk_inference.md)
- [C++ Serving Deployment](./docs/arm_cpu/arm_linux_cpp_sdk_serving.md)
- [Python Inference Deployment](./docs/arm_cpu/arm_linux_python_sdk_inference.md)
- [Python Serving Deploymen](./docs/arm_cpu/arm_linux_python_sdk_serving.md)
### EasyEdge Deployment on Mobile Devices
<div id="fastdeploy-edge-sdk-ios-android"></div>
- [iOS System Deployment](./docs/arm_cpu/ios_sdk.md)
- [Android System Deployment](./docs/arm_cpu/android_sdk.md)
### EasyEdge Customized Deployment
<div id="fastdeploy-edge-sdk-custom"></div>
- [Replace Model With Another One](./docs/arm_cpu/replace_model_with_another_one.md)
### Paddle Lite NPU Deployment
<div id="fastdeploy-edge-sdk-npu"></div>
- [Rexchip-NPU / Amlogic-NPU / NXP-NPU](https://github.com/PaddlePaddle/Paddle-Lite-Demo/tree/develop/object_detection/linux/picodet_detection)
### Supported Edge-Side Model List
<div id="fastdeploy-edge-sdk"></div>
| | Model | Size (MB) | Linux | Android | iOS | Linux | Linux | Linux | TBD... |
|:------------------:|:----------------------------:|:---------:|:-------:|:-------:|:-------:|:-----------------------------------------:|:---------------------------------------:|:------------------------:|:-------:|
| --- | --- | --- | ARM CPU | ARM CPU | ARM CPU | Rockchip-NPU<br>RV1109<br>RV1126<br>RK1808 | Amlogic-NPU <br>A311D<br>S905D<br>C308X | NXPNPU<br> i.MX 8M Plus | TBD...｜ |
| 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 | ✅ | ✅ | ✅ | -- | -- | -- | -- |
| Face Detection | BlazeFace | 1.5 | ✅ | ✅ | ✅ | -- | -- | -- | -- |
| Face Detection | RetinaFace | 1.7 | ✅ | ❌ | ❌ | -- | -- | -- | -- |
| Keypoint Detection | 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 | ✅ | ✅ | ✅ | -- | -- | -- | -- |
## Community
<div id="fastdeploy-community"></div>
- If you have any question or suggestion, please give us your valuable input via GitHub Issues
- **Join Us👬：**
- **Slack**：Join our [Slack community](https://join.slack.com/t/fastdeployworkspace/shared_invite/zt-1hhvpb279-iw2pNPwrDaMBQ5OQhO3Siw) and chat with other community members about ideas
- **WeChat**：join our **WeChat community** and chat with other community members about ideas
<div align="center">
<img src="https://user-images.githubusercontent.com/54695910/196074889-259434b0-48a1-4a41-9946-6c5a701395c3.png" width = "225" height = "225" />
</div>
## Acknowledge
<div id="fastdeploy-acknowledge"></div>
We sincerely appreciate the open-sourced capabilities in [EasyEdge](https://ai.baidu.com/easyedge/app/openSource) as we adopt it for the SDK generation and download in this project.
## License
<div id="fastdeploy-license"></div>
FastDeploy is provided under the [Apache-2.0](./LICENSE).
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