O

opencv

A simple viewer for document cameras with basic adjustments (pan, zoom, brightness) written in Python using CV2 and Tkinter.

C++ Software which enables to launch a streaming video from a security camera. Detects motion in the video, and notifies the user by messages in case of motion detected.

GUI done in Qt5, and motion detection with OpenCV4.

Application devoted to show how to run neural networks like Yollov3-7 with AuroraOS.

Process UrT gameplay to gather distance stats for Game Life Balance: https://game-life-balance.com

Detection and Localization of a Checkerboard calibration target containing L shape marker using template matching

A simple (but relatively slow) QR code reader developed using Android Eclipse

Three-day hobby project PVP Game Bot

The project provides an example of using video filters to finding documents

Pure Python library to convert ros image message data from and to opencv2.

(WIP) A tool to sort Nintendo Switch 1/2 clips by weapon, sub, or special.

Application template to add and use the OpenCV library.

Real-time YOLOv7/YOLOv7‑Tiny object detection on low‑powered Jetson Orin Nano using TensorRT and a multi‑threaded ROS 1 pipeline for edge robotics, drone monitoring.

The images annotator application to annotate and provide data for training AI and neural networks.

Android implementation of an offline computer vision algorithm for Malaria parasite detection and classification in thick blood smears (see research project).

forked from openVINO demo https://docs.openvino.ai/2024/omz_demos_pedestrian_tracker_demo_cpp.html

This repo will have all resources, labs, data which I use/d on Kaggle Network

This is a face recognition program that uses a webcam feed to detect and recognize faces. It allows the user to register new faces by associating them with names and stores this information for future recognition

Sistema di riconoscimento, tramite open-cv e algoritmi di visioning, delle pucce bruciate, con annesso sistema di notifica quando la camera ne rileva una.

Implementation for color-icon-matrix barcodes Behold: an experimental barcode format for air-gapped data transfer. It can sustain speeds of 850 kilobits/s (~106 KB/s) using just a computer monitor and a smartphone camera! This project originally belongs to sz3 (GitHub). Whole salute goes to him for his marvelous work towards this kind of innovation.

Repositorio para los trabajos prácticos de la materia Visión por computadoras de la UTN FRC