Paddle3D Versions Save

The new version 1.0 of Paddle3D is released, which provides the following features

• We supports multiple type of 3D perception models, including monocular 3D models SMOKE/CaDDN/DD3D, pointcloud detection models PointPillars/CenterPoint/IA-SSD/PV-RCNN/Voxel R-CNN, BEV visual detection models PETR/PETRv2/BEVFormer, and pointcloud segmentation model SqueezeSegv3

• We added support for Waymo datasets and now Paddle3D has completed full support for the three open source datasets for autonomous driving

• Supports automatic mixed-precision training and quantitative deployment capabilities, providing better model acceleration capabilities

• Supports for sparse convolution, and integrated related SOTA models that are easy to deploy

• We continue to cooperate with Apollo team to provide one-click deployment of multiple models and integrate them into the perception algorithm part of Apollo to make it easier for developers to debug models

全部发布Paddle3D 1.0版本，提供了以下特性：

• 支持多种3D感知模型，包括单目3D模型SMOKE/CaDDN/DD3D，点云检测模型 PointPillars/CenterPoint/IA-SSD/PV-RCNN/Voxel R-CNN，BEV视觉检测模型 PETR/PETRv2/BEVFormer，点云分割模型SqueezeSegv3

• 新增Waymo数据集支持，完成了对自动驾驶三大开源数据集的全面支持

• 支持自动混合精度训练以及量化部署能力，提供更好的模型加速能力

• 新增了对稀疏卷积能力的支持，并集成了稀疏卷积方向的SOTA模型，模型训推一体，便于部署

• 持续与Apollo进行合作开发，提供多个模型一键部署集成到Apollo的感知算法部分，便于开发者更好地进行模型调试

Release the first version of Paddle3D (that is, v0.5 version), the code of this project is still in beta stage, but under rapid development

Release the monocular 3D model SMOKE/CaDDN, the point cloud detection model PointPillars/CenterPoint, and the point cloud segmentation model SqueezeSegv3, all with deployment tutorials

Support for KITTI dataset and nuScenes dataset

Tutorials for quick access to the Apollo platform are provided for all detection models

发布Paddle3D 的第一个版本 v0.5，本项目的代码仍在beta阶段，但处于快速迭代中

发布单目3D模型SMOKE/CaDDN，点云检测模型 PointPillars/CenterPoint，以及点云分割模型SqueezeSegv3，均带有部署教程

支持KITTI数据集和nuScenes数据集

为所有的检测模型提供了快速接入Apollo平台的教程