English | [简体中文](README_CN.md) ![⚡️FastDeploy](https://user-images.githubusercontent.com/31974251/185771818-5d4423cd-c94c-4a49-9894-bc7a8d1c29d0.png)

**⚡️FastDeploy** is an **accessible and efficient** deployment Development Toolkit. It covers 🔥**hot 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 | |:----------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------:| | | | | | | **OCR** | **Behavior Recognition** | **Object Detection** | **Pose Estimation** | | | | | | | **Face Alignment** | **3D Object Detection** | **Face Editing** | **Image Animation** | | | | | | ## Updates - 🔥 **2022.8.18：Release FastDeploy [release/v0.2.0](https://github.com/PaddlePaddle/FastDeploy/releases/tag/release%2F0.2.0)**
- **New server-side deployment upgrade: faster inference performance, support more visual model** - Release high-performance inference engine SDK based on x86 CPUs and NVIDIA GPUs, with significant increase in inference speed - Integrate Paddle Inference, ONNXRuntime, 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 Rexchip, Amlogic, NXP and other NPU chip deployment capabilities on end-side 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 * **Server-side deployment** * [A Quick Start for Python SDK](#fastdeploy-quick-start-python) * [A Quick Start for C++ SDK](#fastdeploy-quick-start-cpp) * [Supported Server-Side Model List](#fastdeploy-server-models) * **End-side 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 End-Side Model List](#fastdeploy-edge-sdk) * [Community](#fastdeploy-community) * [Acknowledge](#fastdeploy-acknowledge) * [License](#fastdeploy-license) ## Server-side deployment ### A Quick Start for Python SDK
#### Installation ##### Pre-dependency - CUDA >= 11.2 - cuDNN >= 8.0 - python >= 3.8 - OS: Linux x86_64/macOS/Windows 10 ##### Install the GPU Version ```bash pip install numpy opencv-python fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html ``` ##### [Conda Installation (Recommended)](docs/quick_start/Python_prebuilt_wheels.md) ```bash conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=8.2 ``` ##### Install the CPU Version ```bash pip install numpy opencv-python 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/quick_start/CPP_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); } ``` ### For more deployment models, please refer to [Visual Model Deployment Examples](examples/vision) . ### Supported Server-Side Model List🔥🔥🔥
Notes: (1) ✅: already supported; (2) ❔: to be supported in the future; (3) ❌: not supported at the moment; (4) --: not considered at the moment;
Hyperlinks：Click model's name, the website will jump to the model inference demo code | Task | Model | API | Linux | Linux | Win | Win | Mac | Mac | Linux | Linux | |:-----------------------------:|:---------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------:|:---------------------:|:------------------------:|:------------------------:|:------------------------:|:-----------------------:|:---------------------:|:--------------------------:|:---------------------------:| | --- | --- | --- | X86 CPU | NVIDIA GPU | Intel CPU | NVIDIA GPU | Intel CPU | Arm CPU | AArch64 CPU | NVIDIA Jetson | | Classification | [PaddleClas/ResNet50](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/PP-LCNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/PP-LCNetv2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/EfficientNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/GhostNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/MobileNetV1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/MobileNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/MobileNetV3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/ShuffleNetV2](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/SqueeezeNetV1.1](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/Inceptionv3](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/PP-HGNet](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Classification | [PaddleClas/SwinTransformer](./examples/vision/classification/paddleclas) | [Python](./examples/vision/classification/paddleclas/python)/[C++](./examples/vision/classification/paddleclas/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [PaddleDetection/PP-YOLOE](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [PaddleDetection/PicoDet](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [PaddleDetection/YOLOX](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [PaddleDetection/YOLOv3](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [PaddleDetection/PP-YOLO](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❔ | | Detection | [PaddleDetection/PP-YOLOv2](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❔ | | Detection | [PaddleDetection/FasterRCNN](./examples/vision/detection/paddledetection) | [Python](./examples/vision/detection/paddledetection/python)/[C++](./examples/vision/detection/paddledetection/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❔ | | Detection | [Megvii-BaseDetection/YOLOX](./examples/vision/detection/yolox) | [Python](./examples/vision/detection/yolox/python)/[C++](./examples/vision/detection/yolox/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [WongKinYiu/YOLOv7](./examples/vision/detection/yolov7) | [Python](./examples/vision/detection/yolov7/python)/[C++](./examples/vision/detection/yolov7/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [meituan/YOLOv6](./examples/vision/detection/yolov6) | [Python](./examples/vision/detection/yolov6/python)/[C++](./examples/vision/detection/yolov6/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [ultralytics/YOLOv5](./examples/vision/detection/yolov5) | [Python](./examples/vision/detection/yolov5/python)/[C++](./examples/vision/detection/yolov5/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [WongKinYiu/YOLOR](./examples/vision/detection/yolor) | [Python](./examples/vision/detection/yolor/python)/[C++](./examples/vision/detection/yolor/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [WongKinYiu/ScaledYOLOv4](./examples/vision/detection/scaledyolov4) | [Python](./examples/vision/detection/scaledyolov4/python)/[C++](./examples/vision/detection/scaledyolov4/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [ppogg/YOLOv5Lite](./examples/vision/detection/yolov5lite) | [Python](./examples/vision/detection/yolov5lite/python)/[C++](./examples/vision/detection/yolov5lite/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Detection | [RangiLyu/NanoDetPlus](./examples/vision/detection/nanodet_plus) | [Python](./examples/vision/detection/nanodet_plus/python)/[C++](./examples/vision/detection/nanodet_plus/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Segmentation | [PaddleSeg/PP-LiteSeg](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Segmentation | [PaddleSeg/PP-HumanSegLite](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Segmentation | [PaddleSeg/HRNet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Segmentation | [PaddleSeg/PP-HumanSegServer](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Segmentation | [PaddleSeg/Unet](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Segmentation | [PaddleSeg/Deeplabv3](./examples/vision/segmentation/paddleseg) | [Python](./examples/vision/segmentation/paddleseg/python)/[C++](./examples/vision/segmentation/paddleseg/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceDetection | [biubug6/RetinaFace](./examples/vision/facedet/retinaface) | [Python](./examples/vision/facedet/retinaface/python)/[C++](./examples/vision/facedet/retinaface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceDetection | [Linzaer/UltraFace](./examples/vision/facedet/ultraface) | [ Python](./examples/vision/facedet/ultraface/python)/[C++](./examples/vision/facedet/ultraface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceDetection | [deepcam-cn/YOLOv5Face](./examples/vision/facedet/yolov5face) | [Python](./examples/vision/facedet/yolov5face/python)/[C++](./examples/vision/facedet/yolov5face/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceDetection | [deepinsight/SCRFD](./examples/vision/facedet/scrfd) | [Python](./examples/vision/facedet/scrfd/python)/[C++](./examples/vision/facedet/scrfd/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceRecognition | [deepinsight/ArcFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceRecognition | [deepinsight/CosFace](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceRecognition | [deepinsight/PartialFC](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | FaceRecognition | [deepinsight/VPL](./examples/vision/faceid/insightface) | [Python](./examples/vision/faceid/insightface/python)/[C++](./examples/vision/faceid/insightface/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | | Matting | [ZHKKKe/MODNet](./examples/vision/matting/modnet) | [Python](./examples/vision/matting/modnet/python)/[C++](./examples/vision/matting/modnet/cpp) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ## Edge-Side Deployment
### EasyEdge Edge-Side Deployment
- 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
- [iOS System Deployment](./docs/arm_cpu/ios_sdk.md) - [Android System Deployment](./docs/arm_cpu/android_sdk.md) ### EasyEdge Customized Deployment
- [Replace Model With Another One](./docs/arm_cpu/replace_model_with_another_one.md) ### Paddle Lite NPU Deployment
- [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
| | Model | Size (MB) | Linux | Android | iOS | Linux | Linux | Linux | TBD... | |:------------------:|:----------------------------:|:---------:|:-------:|:-------:|:-------:|:-----------------------------------------:|:---------------------------------------:|:------------------------:|:-------:| | --- | --- | --- | ARM CPU | ARM CPU | ARM CPU | Rexchip-NPU
RV1109
RV1126
RK1808 | Amlogic-NPU
A311D
S905D
C308X | NXPNPU
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 | ✅ | ✅ | ✅ | -- | -- | -- | -- | | 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 | ✅ | ✅ | ✅ | -- | -- | -- | -- | ## Community
- If you have any question or suggestion, please give us your valuable input via GitHub Issues - **Join Us👬：** Scan the QR code via WeChat to join our **FastDeploy technology communication group**
## Acknowledge
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
FastDeploy is provided under [Apache-2.0](./LICENSE).