Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
LV-DOT: LiDAR-Visual Dynamic Obstacle Detection and Tracking (C++/Python/ROS)
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Frustum PointNets for 3D Object Detection from RGB-D Data
Hacking Scripts contains amazing and awesome scripts written in Python, JavaScript, Java, Nodejs, and more. The main aim of the repository will be to provide utility scripts that might make everyday life easy.
Finding Lane Lines using Python and OpenCV
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )
Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.
A personal list of papers and resources of image matching and pose estimation, including perspective images and panoramas.
[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM
[ICLR 2026] A simple state update rule to enhance length generalization for CUT3R
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
🎓Automatically Update CV Papers Daily using Github Actions
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Personal Assistant built using python libraries. It does almost anything which includes sending emails, Optical Text Recognition, Dynamic News Reporting at any time with API integration, Todo list generator, Opens any website with just a voice command, Plays Music, Wikipedia searching, Dictionary with Intelligent Sensing i.e. auto spell checking, Weather Reporting i.e. temp, wind speed, humidity, YouTube searching, Google Map searching, Youtube Downloading, etc.
Creating a software for automatic monitoring in online proctoring
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Converted CoreML Model Zoo.
A procedural Blender pipeline for photorealistic training image generation
Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).
24,522 repositories in the index in total.
