Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Computer Vision Guide | 204 | 4 years ago | other | Python | ||||||
:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples. | ||||||||||
Dream | 125 | 6 months ago | 3 | other | Python | |||||
DREAM: Deep Robot-to-Camera Extrinsics for Articulated Manipulators (ICRA 2020) | ||||||||||
Lane And Vehicles Detection | 53 | 5 years ago | 1 | Jupyter Notebook | ||||||
This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay. | ||||||||||
Pose Estimation 3d With Stereo Camera | 26 | 3 years ago | n,ull | other | MATLAB | |||||
This demo uses a deep neural network and two generic cameras to perform 3D pose estimation. | ||||||||||
Ccs | 25 | 4 months ago | 3 | mit | Python | |||||
[RA-L&IROS22] A learning-based camera calibration system. | ||||||||||
Sportsfield_release | 24 | 3 years ago | other | Jupyter Notebook | ||||||
Code release for WACV 2020, "Optimizing Through Learned Errors for Accurate Sports Field Registration" | ||||||||||
Soccernet Calibration Sportlight | 6 | 3 months ago | 1 | Python | ||||||
SoccerNet@CVPR | 1st place solution for Camera Calibration Challenge 2023 | ||||||||||
Cmsc 733 | 5 | 4 years ago | Jupyter Notebook | |||||||
Projects and Homeworks for the course CMSC-733 | ||||||||||
Social Distancing Monitoring System | 5 | 4 years ago | 1 | other | MATLAB | |||||
AI-enabled social distancing detection tool that can detect if people are keeping a safe distance from each other by analyzing real-time video streams from the camera. - Idea Credit : Landing AI (https://landing.ai/) |