Finding shapes in an image using opencv- python
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Updated
Nov 25, 2022 - Jupyter Notebook
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.
Finding shapes in an image using opencv- python
Enjoy computer vision implementations using OpenCV !!!
Tem como foco aplicações relativa ao processamento de imagens, utilizando a biblioteca opencv utilizando a linguagem python
media -> ascii
Computer Vision Course
A demonstration of various image processing algorithms using OpenCV
AI that determines your facial expression when prompted with a social media post, and likes/dislikes it accordingly
Smile detection using OpenCV + Eye detection
Movement of mouse using Eye tracking feature and Blink Eye on Click of mouse.
Face recognition software that developed with Python OpenCV. When you run app.py file, a frame comes named "Camera". And code gets Cascade coordinates then recognize your face and draws a rectangle around your face.
This repository have two modules: app: Implementation of OpenCV native in java appcpp: Implementation of OpenCV native in java and calling C++ OpenCV
Utilizando la libreria de OpenCv se pueden realizar varias tareas, entre ellas, la manipulacion de archivos y la transformacion a otros en combinacion con el potente lenguaje de programacion Python.