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Apache-2.0

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⚡️FastDeploy

安装 | 使用文档 | 快速开始 | API文档 | 更新日志


⚡️FastDeploy是一款全场景、易用灵活、极致高效的AI推理部署工具, 支持云边端部署。提供超过 🔥160+ Text,Vision, Speech和跨模态模型📦开箱即用的部署体验,并实现🔚端到端的推理性能优化。包括 物体检测、字符识别(OCR)、人脸、人像扣图、多目标跟踪系统、NLP、Stable Diffusion文图生成、TTS 等几十种任务场景,满足开发者多场景、多硬件、多平台的产业部署需求。

🌠 近期更新

  • FastDeploy系列直播课程回放

  • 2023.01.17 发布 YOLOv8 在FastDeploy系列硬件的部署支持。 其中包括 Paddle YOLOv8 以及 社区 ultralytics YOLOv8

  • 服务化部署结合VisualDL新增支持可视化部署。在FastDeploy容器中启动VDL服务后,即可在VDL界面修改模型配置、启动/管理模型服务、查看性能数据、发送请求等,详细操作可参考相关文档

  • ✨👥✨ 社区交流

    • Slack:Join our Slack community and chat with other community members about ideas

    • 微信:扫描二维码,填写问卷加入技术社区,与社区开发者交流部署产业落地痛点问题

🌌 推理后端及能力

X86_64 CPU       





NVDIA GPU




飞腾 CPU
昆仑芯 XPU
华为昇腾 NPU
Graphcore IPU
算能
Intel 显卡
Jetson




ARM CPU

RK3588等
RV1126等
晶晨
恩智浦

🔮 文档教程

快速开始💨

Python SDK快速开始(点开收缩)

🎆 快速安装

🔸 前置依赖

  • CUDA >= 11.2、cuDNN >= 8.0、Python >= 3.6
  • OS: Linux x86_64/macOS/Windows 10

🔸 安装GPU版本

pip install numpy opencv-python fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html

🔸 Conda安装(推荐✨)

conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=8.2

🔸 安装CPU版本

pip install numpy opencv-python fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html

🎇 Python 推理示例

  • 准备模型和图片
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
  • 测试推理结果
# 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/infer_cfg.yml")
im = cv2.imread("000000014439.jpg")
result = model.predict(im)
print(result)

vis_im = vision.vis_detection(im, result, score_threshold=0.5)
cv2.imwrite("vis_image.jpg", vis_im)
C++ SDK快速开始(点开查看详情)

🎆 安装

🎇 C++ 推理示例

  • 准备模型和图片
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
  • 测试推理结果
// 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::VisDetection(im, res, 0.5);
  cv::imwrite("vis_image.jpg", vis_im);
  return 0;
}

更多部署案例请参考模型部署示例 .

✴️ ✴️ 服务端模型支持列表 ✴️ ✴️

符号说明: (1) ✅ : 已经支持; (2) ❔: 正在进行中; (3) N/A : 暂不支持.

服务端模型支持列表(点击可收缩)
任务场景 模型 Linux Linux Win Win Mac Mac Linux Linux Linux Linux Linux Linux Linux
--- --- X86 CPU NVIDIA GPU X86 CPU NVIDIA GPU X86 CPU Arm CPU AArch64 CPU 飞腾D2000 aarch64 NVIDIA Jetson Graphcore IPU 昆仑芯 XPU 华为 昇腾 Serving
Classification PaddleClas/ResNet50 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification TorchVison/ResNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ❔
Classification ultralytics/YOLOv5Cls ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔
Classification PaddleClas/PP-LCNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/PP-LCNetv2 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/EfficientNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/GhostNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/MobileNetV1 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/MobileNetV2 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/MobileNetV3 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/ShuffleNetV2 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/SqueeezeNetV1.1 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Classification PaddleClas/Inceptionv3 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Classification PaddleClas/PP-HGNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
Detection 🔥🔥PaddleDetection/PP-YOLOE+ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Detection 🔥PaddleDetection/YOLOv8 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ❔
Detection 🔥ultralytics/YOLOv8 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Detection PaddleDetection/PicoDet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅
Detection PaddleDetection/YOLOX ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Detection PaddleDetection/YOLOv3 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Detection PaddleDetection/PP-YOLO ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Detection PaddleDetection/PP-YOLOv2 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Detection PaddleDetection/Faster-RCNN ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅
Detection PaddleDetection/Mask-RCNN ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅
Detection Megvii-BaseDetection/YOLOX ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ❔
Detection WongKinYiu/YOLOv7 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ❔
Detection WongKinYiu/YOLOv7end2end_trt ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Detection WongKinYiu/YOLOv7end2end_ort ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
Detection meituan/YOLOv6 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔
Detection ultralytics/YOLOv5 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Detection WongKinYiu/YOLOR ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ✅ ❔
Detection WongKinYiu/ScaledYOLOv4 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
Detection ppogg/YOLOv5Lite ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ? ❔ ❔ ❔
Detection RangiLyu/NanoDetPlus ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
Perception Paddle3D/Smoke ❔ ✅ ❔ ✅ ❔ ❔ ❔ ❔ ❔ ❔ ❔ ❔ ✅
KeyPoint PaddleDetection/TinyPose ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔
KeyPoint PaddleDetection/PicoDet + TinyPose ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔
HeadPose omasaht/headpose ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Tracking PaddleDetection/PP-Tracking ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
OCR PaddleOCR/PP-OCRv2 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅ ✅ ❔
OCR PaddleOCR/PP-OCRv3 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅
Segmentation PaddleSeg/PP-LiteSeg ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅ ❔ ❔
Segmentation PaddleSeg/PP-HumanSegLite ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅ ✅ ❔
Segmentation PaddleSeg/HRNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅ ✅ ❔
Segmentation PaddleSeg/PP-HumanSegServer ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅ ✅ ❔
Segmentation PaddleSeg/Unet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ✅ ✅ ❔
Segmentation PaddleSeg/Deeplabv3 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ✅ ✅ ❔
FaceDetection biubug6/RetinaFace ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceDetection Linzaer/UltraFace ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceDetection deepcam-cn/YOLOv5Face ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceDetection insightface/SCRFD ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceAlign Hsintao/PFLD ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceAlign Single430/FaceLandmark1000 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
FaceAlign jhb86253817/PIPNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
FaceRecognition insightface/ArcFace ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceRecognition insightface/CosFace ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceRecognition insightface/PartialFC ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
FaceRecognition insightface/VPL ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
Matting ZHKKKe/MODNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Matting PeterL1n/RobustVideoMatting ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Matting PaddleSeg/PP-Matting ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ❔
Matting PaddleSeg/PP-HumanMatting ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ✅ ❔
Matting PaddleSeg/ModNet ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ❔
Video Super-Resolution PaddleGAN/BasicVSR ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Video Super-Resolution PaddleGAN/EDVR ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Video Super-Resolution PaddleGAN/PP-MSVSR ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔ ❔
Information Extraction PaddleNLP/UIE ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ✅ ❔ ❔ ❔
NLP PaddleNLP/ERNIE-3.0 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ ❔ ✅ ❔ ✅
Speech PaddleSpeech/PP-TTS ✅ ✅ ✅ ✅ ✅ ✅ ✅ ❔ ❔ -- ❔ ❔ ✅

📳 移动端和端侧 模型支持列表

端侧模型支持列表(点击可收缩)
任务场景 模型 大小(MB) Linux Android Linux Linux Linux Linux Linux 更新中...
--- --- --- ARM CPU ARM CPU 瑞芯微NPU
RK3588/RK3568/RK3566
瑞芯微NPU
RV1109/RV1126/RK1808
晶晨NPU
A311D/S905D/C308X
恩智浦NPU
i.MX 8M Plus
更新中...
Classification PaddleClas/ResNet50 98 ✅ ✅ ✅ ✅
Classification PaddleClas/PP-LCNet 11.9 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/PP-LCNetv2 26.6 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/EfficientNet 31.4 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/GhostNet 20.8 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/MobileNetV1 17 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/MobileNetV2 14.2 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/MobileNetV3 22 ✅ ✅ ❔ ✅ ❔ ❔ --
Classification PaddleClas/ShuffleNetV2 9.2 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/SqueezeNetV1.1 5 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/Inceptionv3 95.5 ✅ ✅ ❔ ✅ -- -- --
Classification PaddleClas/PP-HGNet 59 ✅ ✅ ❔ ✅ -- -- --
Detection PaddleDetection/PicoDet_s 4.9 ✅ ✅ ✅ ✅ ✅ ✅ --
Detection YOLOv5 ❔ ❔ ✅ ❔ ❔ ❔ --
Face Detection deepinsight/SCRFD 2.5 ✅ ✅ ✅ -- -- -- --
Keypoint Detection PaddleDetection/PP-TinyPose 5.5 ✅ ✅ ❔ ❔ ❔ ❔ --
Segmentation PaddleSeg/PP-LiteSeg(STDC1) 32.2 ✅ ✅ ✅ -- -- -- --
Segmentation PaddleSeg/PP-HumanSeg-Lite 0.556 ✅ ✅ ✅ -- -- -- --
Segmentation PaddleSeg/HRNet-w18 38.7 ✅ ✅ ✅ -- -- -- --
Segmentation PaddleSeg/PP-HumanSeg 107.2 ✅ ✅ ✅ -- -- -- --
Segmentation PaddleSeg/Unet 53.7 ✅ ✅ ✅ -- -- -- --
Segmentation PaddleSeg/Deeplabv3 150 ❔ ✅ ✅
OCR PaddleOCR/PP-OCRv2 2.3+4.4 ✅ ✅ ❔ -- -- -- --
OCR PaddleOCR/PP-OCRv3 2.4+10.6 ✅ ❔ ❔ ❔ ❔ ❔ --

⚛️ Web和小程序 模型支持列表

Web和小程序部署支持列表(点击可收缩)
任务场景 模型 web_demo
--- --- Paddle.js
Detection FaceDetection ✅
Detection ScrewDetection ✅
Segmentation PaddleSeg/HumanSeg ✅
Object Recognition GestureRecognition ✅
Object Recognition ItemIdentification ✅
OCR PaddleOCR/PP-OCRv3 ✅

💐 Acknowledge

本项目中SDK生成和下载使用了EasyEdge中的免费开放能力,在此表示感谢。

©️ License

FastDeploy遵循Apache-2.0开源协议。

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