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
1,479 results
This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect players and the tennis ball using YOLO and also utilizes CNNs to extract court keypoints. This hands on project is perfect for polishing your machine learning, and computer vision skills.
The target is to set up a high quality and real-time image process and machine learning library which is implemented in pure java. The framework can run application on java desktop and android platform.
This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos
The project focuses on Tracking missing people. We are using Image processing and Machine learning along with Postgres Database.
Localize your cat at home with BLE beacon, ESP32s, and Machine Learning
2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.
Uses WiFi signals :signal_strength: and machine learning to predict where you are
JittorGeometric is a Jittor-based graph machine learning library.
A high-performance topological machine learning toolbox in Python
Visual analysis and diagnostic tools to facilitate machine learning model selection.
StellarGraph - Machine Learning on Graphs
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
[IJCV 2026] Project Page for "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey".
Using of the WiFi signal in combination with deep learning architectures, commonly used in computer vision, to estimate dense human pose correspondence.
A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
A WeChat MiniProgram Image AR using computer vision. No OpenCV, No Deep Learning. Only JavaScript Implementation.
24,538 repositories in the index in total.
