{"id":13443330,"url":"https://github.com/PaddlePaddle/Paddle3D","last_synced_at":"2025-03-20T16:31:02.244Z","repository":{"id":45823479,"uuid":"513813137","full_name":"PaddlePaddle/Paddle3D","owner":"PaddlePaddle","description":"A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection 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Paddle3D\n## 🌈简介\n\nPaddle3D是飞桨官方开源的端到端深度学习3D感知套件，涵盖了许多前沿和经典的3D感知模型，支持多种模态和多种任务，可以助力开发者便捷地完成 **『自动驾驶』** 领域模型 从训练到部署的全流程应用。\n\n\u003cdiv align=\"center\"\u003e\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://user-images.githubusercontent.com/29754889/185546875-b8296cf4-f298-494b-8c15-201a2559d7ea.gif\" align=\"middle\" width=\"980\"/\u003e\n\u003c/p\u003e\n\u003c/div\u003e\n\n\u003cdiv align=\"center\"\u003e\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://user-images.githubusercontent.com/29754889/185551580-828f08d0-d607-4020-9e05-b96110bce7eb.gif\" align=\"middle\" width=\"980\"/\u003e\n\u003c/p\u003e\n\u003c/div\u003e\n\n## ✨主要特性\n\n### 🧩灵活的框架设计\n\n针对各类3D数据格式，灵活构建数据处理、骨干网络等核心模块，支持基于[PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection)、[PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg)灵活扩展2D视觉感知能力，并提供API与脚本两种训练评估方式，满足开发者灵活定制的差异化需求。\n\n### 📱丰富的模型库\n\n聚合主流3D感知算法及精度调优策略，覆盖单目、点云等多种模态及检测、分割等多种任务类型。\n\n\n### 🎗️端到端全流程\n\n支持KITTI、nuScenes、Waymo等主流3D数据集，提供从数据处理、模型搭建、训练调优到部署落地的全流程能力，极致优化模型性能，适配多种自动驾驶主流芯片，支持计算图优化、TensorRT/OpenVINO等加速库，并提供了开箱即用的部署教程，5分钟即可完成模型部署。\n\n### 🏆无缝衔接Apollo\n\n无缝对接Apollo自动驾驶平台，支持真机与仿真平台实验效果快速验证、多模态模型高性能融合，实现自动驾驶全栈式技术方案的高效搭建。\n\n\u003cdiv align=\"center\"\u003e\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://user-images.githubusercontent.com/33575107/224960808-3bb1a328-cb20-48ce-b6b6-9d6ec1cc8222.png\" align=\"middle\" width=\"980\"/\u003e\n\u003c/p\u003e\n\u003c/div\u003e\n\n## 📣最新进展\n\n**🏅️飞桨AI套件**\n\n飞桨AI套件 [PaddleX](https://www.paddlepaddle.org.cn/paddle/paddleX) 发布全新版本，围绕飞桨精选模型（包括3D检测）提供了一站式、全流程、高效率的开发平台。\n\n\n**💎稳定版本**\n\n位于[`主分支`](https://github.com/PaddlePaddle/Paddle3D)，Paddle3D v1.0正式版本发布，详情请参考[release note](https://github.com/PaddlePaddle/Paddle3D/releases/tag/v1.0)。\n\n**🧬预览版本**\n\n位于[`develop`](https://github.com/PaddlePaddle/Paddle3D/tree/develop)分支，体验最新功能请切换到[该分支](https://github.com/PaddlePaddle/Paddle3D/tree/develop)。\n## 👫开源社区\n\n- **📑项目合作：** 如果您是企业开发者且有明确的目标检测垂类应用需求，请扫描如下二维码入群，并联系`群管理员AI`后可免费与官方团队展开不同层次的合作。\n- **🏅️社区贡献：** Paddle3D非常欢迎你加入到飞桨社区的开源建设中，参与贡献方式可以参考[开源项目开发指南](https://www.paddlepaddle.org.cn/documentation/docs/zh/dev_guides/index_cn.html)。\n- **💻直播教程：** Paddle3D会定期在飞桨直播间([B站:飞桨PaddlePaddle](https://space.bilibili.com/476867757)、[微信: 飞桨PaddlePaddle](https://mp.weixin.qq.com/s/6ji89VKqoXDY6SSGkxS8NQ))，针对发新内容、以及产业范例、使用教程等进行直播分享。\n\n\u003cdiv align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/61035602/209660514-4285abea-a855-44c4-9533-f2e90b9ca608.jpeg\"  width = \"150\" height = \"150\",caption='' /\u003e\n\u003cp\u003ePaddle3D官方技术交流群二维码\u003c/p\u003e\n\u003c/div\u003e\n\n- **🎈社区近期活动**\n\n  - **🎗️Paddle3D v1.0正式版解读**\n    - `文章传送门`：[Paddle3D正式版发布！BEV、单目、激光雷达3D感知算法开箱即用，无缝衔接Apollo](https://mp.weixin.qq.com/s/LL0DgKxEVsfhpFO6HedQ7Q)\n\n    \u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"https://user-images.githubusercontent.com/61035602/210311019-bdb15ec8-e8b9-471c-aa1d-d2f953a6939a.png\"  height = \"250\" caption='' /\u003e\n    \u003cp\u003e\u003c/p\u003e\n    \u003c/div\u003e\n\n  - **🚦自动驾驶感知系统揭秘**\n    - `课程录播\u0026PPT传送门`：[自动驾驶感知系统揭秘](https://aistudio.baidu.com/aistudio/education/group/info/26961)\n\n    \u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"https://user-images.githubusercontent.com/61035602/210315230-83ace5d1-1851-4d9b-b305-4290edf9dde8.png\"  height = \"300\" caption='' /\u003e\n    \u003cp\u003e\u003c/p\u003e\n    \u003c/div\u003e\n\n- **📑 PaddleX**\n  * 飞桨低代码开发工具（PaddleX）—— 面向国内外主流AI硬件的飞桨精选模型一站式开发工具。包含如下核心优势：\n    * 【产业高精度模型库】：覆盖10个主流AI任务 40+精选模型，丰富齐全。\n    * 【特色模型产线】：提供融合大小模型的特色模型产线，精度更高，效果更好。\n    * 【低代码开发模式】：图形化界面支持统一开发范式，便捷高效。\n    * 【私有化部署多硬件支持】：适配国内外主流AI硬件，支持本地纯离线使用，满足企业安全保密需要。\n\n  * PaddleX官网地址：https://aistudio.baidu.com/intro/paddlex\n\n  * PaddleX官方交流频道：https://aistudio.baidu.com/community/channel/610\n\n\n### 📱模型库\n\n\u003ctable align=\"center\"\u003e\n  \u003ctbody\u003e\n    \u003ctr align=\"center\" valign=\"center\"\u003e\n      \u003ctd\u003e\n        \u003cb\u003e单目3D感知\u003c/b\u003e\n      \u003c/td\u003e\n      \u003ctd\u003e\n        \u003cb\u003e激光雷达3D感知\u003c/b\u003e\n      \u003c/td\u003e\n      \u003ctd\u003e\n        \u003cb\u003e多相机3D感知\u003c/b\u003e\n      \u003c/td\u003e\n      \u003ctd\u003e\n        \u003cb\u003e骨干网络\u003c/b\u003e\n      \u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr valign=\"top\"\u003e\n      \u003ctd\u003e\n            \u003c/ul\u003e\n          \u003cli\u003e\u003cb\u003e检测\u003c/b\u003e\u003c/li\u003e\n        \u003cul\u003e\n      \u003cul\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/caddn\"\u003eCaDDN\u003c/a\u003e\u003c/li\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/smoke\"\u003eSMOKE\u003c/a\u003e\u003c/li\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/dd3d\"\u003eDD3D\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n      \u003c/td\u003e\n      \u003ctd\u003e\n      \u003c/ul\u003e\n          \u003cli\u003e\u003cb\u003e检测\u003c/b\u003e\u003c/li\u003e\n        \u003cul\u003e\n        \u003cul\u003e\n           \u003cli\u003e\u003ca href=\"docs/models/pointpillars\"\u003ePointPillars\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"docs/models/centerpoint\"\u003eCenterPoint\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"docs/models/iassd\"\u003eIA-SSD\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"docs/models/pv_rcnn\"\u003ePV-RCNN\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"docs/models/voxel_rcnn\"\u003eVoxel-RCNN\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"docs/models/paconv\"\u003ePAConv\u003c/a\u003e\u003c/li\u003e\n            \u003c/ul\u003e\n            \u003c/ul\u003e\n          \u003cli\u003e\u003cb\u003e分割\u003c/b\u003e\u003c/li\u003e\n        \u003cul\u003e\n        \u003cul\u003e\n            \u003cli\u003e\u003ca href=\"docs/models/squeezesegv3\"\u003eSqueezeSegV3\u003c/a\u003e\u003c/li\u003e\n        \u003c/ul\u003e\n      \u003c/td\u003e\n      \u003ctd\u003e\n        \u003c/ul\u003e\n          \u003cli\u003e\u003cb\u003eBEV-Camera\u003c/b\u003e\u003c/li\u003e\n        \u003cul\u003e\n        \u003cul\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/petr\"\u003ePETR\u003c/a\u003e\u003c/li\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/petr\"\u003ePETRv2\u003c/a\u003e\u003c/li\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/bevformer\"\u003eBEVFormer\u003c/a\u003e\u003c/li\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/cape\"\u003eCAPE\u003c/a\u003e\u003c/li\u003e\n        \u003c/ul\u003e\n        \u003c/ul\u003e\n          \u003cli\u003e\u003cb\u003eBEV-Fusion\u003c/b\u003e\u003c/li\u003e\n        \u003cul\u003e\n        \u003cul\u003e\n          \u003cli\u003e\u003ca href=\"docs/models/bevfusion\"\u003eBEVFusion(ADLab)\u003c/a\u003e\u003c/li\u003e\n        \u003c/ul\u003e\n      \u003c/td\u003e\n      \u003ctd\u003e\n        \u003cul\u003e\n            \u003cli\u003e\u003ca href=\"paddle3d/models/backbones\"\u003eDLA\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"paddle3d/models/backbones\"\u003eHRNet\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"paddle3d/models/backbones\"\u003eResNet\u003c/a\u003e\u003c/li\u003e\n            \u003cli\u003e\u003ca href=\"paddle3d/models/backbones\"\u003eTransformer\u003c/a\u003e\u003c/li\u003e\n        \u003c/ul\u003e\n      \u003c/td\u003e\n    \u003c/tr\u003e\n\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\n## 🔥使用教程\n\n* [安装](./docs/installation.md)\n\n* [全流程速览](./docs/quickstart.md)\n\n* [自定义数据准备](./docs/datasets/custom.md)\n\n* [配置文件详解](./docs/configuration.md)\n\n* [API](./docs/api.md)\n\n* Paddle3D\u0026Apollo集成开发示例\n  * [视觉感知算法集成开发示例](https://apollo.baidu.com/community/Apollo-Homepage-Document/Apollo_Doc_CN_8_0/camera)\n  * [点云感知算法集成开发示例](https://apollo.baidu.com/community/Apollo-Homepage-Document/Apollo_Doc_CN_8_0/lidar)\n\n* [常见问题](./docs/faq.md)\n\n* [更新日志](./docs/release_note.md)\n\n## 💡产业实践范例\n\n产业实践范例是Paddle3D针对3D目标检测应用场景，提供的端到端开发示例，帮助开发者打通数据标注-模型训练-模型调优-预测部署全流程。\n针对每个范例我们都通过[AI-Studio](https://ai.baidu.com/ai-doc/AISTUDIO/Tk39ty6ho)提供了项目代码以及说明，用户可以同步运行体验。\n\n- [【自动驾驶实战】基于Paddle3D\u0026Apollo的点云3D目标物检测](https://aistudio.baidu.com/aistudio/projectdetail/5268894)\n- [【自动驾驶实战】基于Paddle3D\u0026Apollo的单目3D目标物检测](https://aistudio.baidu.com/aistudio/projectdetail/5269115)\n\n## 📝许可证\n\n本项目的发布受[Apache 2.0 license](./LICENSE)许可认证。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPaddlePaddle%2FPaddle3D","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FPaddlePaddle%2FPaddle3D","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPaddlePaddle%2FPaddle3D/lists"}