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.
Guia rápido de estudo Visão computacional e processamento de imagens.
SnapLab is an image editor web application built using openCV, flask, HTML5, CSS3.
Computer Vision and Deep Learning photo editing app to virtually try on different hairstyles from reference photos.
Artificial Intelligence (AI) based facial recognition system for a hassle-free entry and exit management in different types of communities.
Tool to perform OCR on the growth chart kept in a child's individual health record.
An online examination monitoring system employing YOLOv8, along with various other deep learning and machine learning approaches, centered around computer vision.
An end to end solution for waste segregation,collection and disposal
A python based application to identify the name of the person based on the trained database
Opencv, Opencv-contribt, Tensorflow-GPU, Keras, Zeromq, and DS-Tools docker
Eel上でWebSlidesを実行し、スライド中にOpenCVの画像を表示するサンプル。
Face detection using cv2 in python