Face Recognition (client-server)
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Updated
May 23, 2024 - JavaScript
Face Recognition (client-server)
The ffmpegcv is a ffmpeg backbone for open-cv like Video Reader and Writer
Lightroom plugin that evaluate correct focus on Images.
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Our project focuses on hand gesture recognition, leveraging deep learning techniques to interpret and respond to human gestures. Through robust algorithms and training, we aim to enable intuitive interactions with technology, offering enhanced accessibility and efficiency in various applications.
Face detection program implemented in Python using OpenCV library and object-oriented programming. Utilizes Haar Cascade classifier and edge detection for real-time face detection in images and videos. Prerequisites include Python 3.x, OpenCV, and Numpy libraries.
Personal project to get familiar with cv2, numpy, matplotlib, image manipulation and computer vision
This repository implements the use of AI for robot tasks.
Backend robot's code for the B-Pump project
This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.
An AI powered image editing tool for Linux desktops to enhance lighting on people in photographs.
Build custom RaspberryPi camera capture tools with configuration files.
This is a project of the Highflyer team at the digital department of the Moscow Aviation Institute.
A Python script for real-time face mask detection using MobileNetV2 and OpenCV. It uses a pre-trained MobileNetV2 model as a feature extractor and a custom trained face mask detection model to classify whether a person is wearing a face mask or not.
Remove Backgroud from a video 🧤🎥
Learn OpenCV : C++ and Python Examples
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
A repository for Computer Vision (CMSC 174) laboratory exercises using OpenCV Python.
🔎📝 This is a module to make specifics OCRs at food products and nutritional tables.
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