OpenMMLab's next-generation platform for general 3D object detection.

An extension of Open3D to address 3D Machine Learning tasks

World's first general purpose 3D object detection codebse.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Paper reading notes on Deep Learning and Machine Learning

[CVPR 2022 Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

Long Range 3D Perception - VoxelNeXt (CVPR 2023)

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

A lightweight tool for labeling 3D bounding boxes in point clouds.

[ICCV 2023] OccNet: Scene as Occupancy

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

3D detection and tracking viewer (visualization) for kitti & waymo dataset

The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)