Open Source Computer Vision Library
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Updated
Jun 4, 2024 - C++
OpenCV (Open Source Computer Vision Library) is written in C/C++, for real time computer vision. It takes advantage of multi-core processing and hardware acceleration. Applications of OpenCV includes egomotion estimation, gesture recognition, facial recognition system, and artificial neural networks.
Open Source Computer Vision Library
Object-recognition using multiple templates in python
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
Learn OpenCV : C++ and Python Examples
If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.
Semi-random funky stuff, mainly for my PhD experiments and articles. Contains calculations and algorithm implementations for various applied mathematics and astrophysics articles I worked on.
This project proposes the development of a mobile application designed to leverage computer vision and object recognition technology. The app aims to provide blind users with real-time information about their surroundings, enhancing their ability to navigate safely and independently.
Backend for TypeSight
Proyecto donde se usa YOLOv10 para detectar vehículos en la vía, para luego detectar sus placas o patentes
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features 🔥
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
A gesture-controlled image manipulation program that uses OpenCV to track the user's hand and MediaPipe to detect hand landmarks. The program can detect and track the user's hand in real-time.
This project leverages cutting-edge technologies like blockchain and machine learning to build trust and combat corruption in government systems. Secure Land Registry: Eliminates fraud with tamper-proof land ownership records. Automated Traffic & Challan System (using edge computing): Ensures transparency in traffic enforcement and reduces bribery