A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.

This is a computer vision project using python3 and conventional computer vision techniques to determine a relative distance between two points in a given scene.

Learn OpenCV : C++ and Python Examples

This repository contains documents and source code related to John W. Belanger Smutny's Viriginia Tech Master's of Engineering senior capstone project on "The Effect of Training Published Computer Vision Models on Unreal Engine Synthetic Images". An Introduction to the Synergy between Graphics Rendering Software and Machine Learning.

A system for recognizing and interpreting hand gestures using machine learning and computer vision techniques.

This project's aim is to categorize retail products from their images. MobileNetV2 model fine-tuned with 18K retail product images accross 9 categories. Project deployed with Flask and containerized via docker

Darknet/YOLO object detection framework

ZFNet-for-CIFAR-10-Classification

Unity3D example for measuring luminance on objects. In this prototype enemies stop following a player if they receive to much light.

An artificial intelligence model for body composition analysis in CT scans

My YOLOv8 learning pathway. Just for fun! You only look (live) once

PNN implemented in PyTorch

Computer Vision based Canvas.

Hệ thống phạt nguội bao gồm phát hiện mũ bảo hiểm,đi sai làn, phát hiện phương tiện giao thông

Deploy Computer Vision solutions with a few lines of code.

Discord bot with image recognition capabilities

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

AirFlow - Gesture based air canvas using Machine Learning and Computer Vision.

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.