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.

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

🔥PCL（Point Cloud Library）点云库学习记录

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

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

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"

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

Code for 3D object detection for autonomous driving

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

CubeSLAM: Monocular 3D Object Detection and SLAM

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

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

2D and 3D collision-detection library for Rust.

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

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

Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

Papers, code and datasets about deep learning for 3D Object Detection.