Object detection, 3D detection, and pose estimation using center point detection:

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

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

An extension of Open3D to address 3D Machine Learning tasks

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

Deep Hough Voting for 3D Object Detection in Point Clouds

Frustum PointNets for 3D Object Detection from RGB-D Data

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)

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

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

Code for 3D object detection for autonomous driving

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

CubeSLAM: Monocular 3D Object Detection and SLAM

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)

Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"

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

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

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