Go package for computer vision using OpenCV 4 and beyond.
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Updated
Oct 16, 2020 - Go
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Go package for computer vision using OpenCV 4 and beyond.
Opencv4.0 with python (English&中文), and will keep the update !
《OpenCV 2 计算机视觉编程手册》 配套代码,支持 OpenCV 3.x / 4.x
Demo of implement YOLO v3 with OpenCvSharp v4 on C#
Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.
A pre-compiled version of OpenCV 4 for Raspberry Pi optimized for deep learning / computer vision..
The library is MJPEG stream decoder based on libcurl and OpenCV, and written in C/C++.
Real-time public transport monitor in Berlin built with C++. Udacity capstone project in C++ Nanodegree Program.
This is basic camera calibration using a chessboard, OpenCV 4.0, C++.
Dandere2x Tremx implementation / flavor
OpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense D435i, Mynt Eye D 1000, Intel RealSense L515, and Stereolabs ZED 2
OpenCV, nltk with Tensorflow all together
yolov3 is realized through the DNN of opencv with C++.
Exploring OpenCV 4.3.0 & AI with camera(s) & C++ on the Jetson Nano B01 & Xavier NX.
Vídeos, textos e exemplos ensinando o fundamental das mais recentes versões do Python e do OpenCV
Raspbian Buster 10 Pre built OpenCV 4.3.0 Turned on compile flags TBB NEON VFPV3
Run OpenCV 4.0 on Lambda using Serverless framework
Python kullanarak OpenCV ile yüz ve göz tanıma işlemlerini yapma
This project is used for video magnification, contains color,motion.
Measure the difference between frames in videos. The brightness changes is measured using the average change in each pixel and channel respectively for those brighter and darker.
Qt+OpenCV训练MNIST识别手写字符
Notes and code on computer vision course ,PyImageSearch Gurus.
Auto compilation/installation script for OpenCV4.3 on Linux.
Code for taking measurements from images of an object on top of a calibration pattern.
Simply check if an image is blur on Android device
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