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OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud processing framework designed to develop, train, and evaluate machine learning models that identify and locate objects in three dimensional space. The project includes a GPU-accelerated geometry engine for high-performance implementation of 3D intersection over union and rotated non-maximum suppression. It also provides a distributed model training tool to scale the training and testing of detection models across multiple GPUs and computing nodes. The framework covers point c
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
This repo contains official implementations of our series of work in LiDAR-based 3D object detection:
Group-Free 3D Object Detection via Transformers
The main features of zeliu98/group-free-3d are: 3D Detection and Segmentation, 3D Object Detection, Object Detection and Segmentation.
Projects with overlapping indexed features include: open-mmlab/openpcdet — OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud… tusimple/sst — This repo contains official implementations of our series of work in LiDAR-based 3D object detection:. blvlab/pimae — Accepted to CVPR2023. 🔥. facebookresearch/3detr — Code & Models for 3DETR - an End-to-end transformer model for 3D object detection. yanx27/pointnet_pointnet2_pytorch — This project is a PyTorch-based framework of deep learning models designed for the classification and semantic… facebookresearch/detectron2 — Detectron2 is a PyTorch computer vision framework and visual recognition platform designed for training and deploying…
