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.
Map coloring, using four colors
A simple Qt GUI application to tune OpenCV StereoCorrespondenceBM parameters and see live updates
Skin detection using Watershed and HSV/YCbCr colorspaces,
Open source software that detects shot boundaries in video.
A simple OpenCV script that displays the upper and lower HSV ranges of any pixel in an RGB image
Games and examples built for RoboMaster EP with RoboMasterPy | 与你的大疆机甲大师愉快玩耍,基于RoboMasterPy构建
An Enhanced Implementation of the Colour Transfer Method Proposed by E Reinhard et al.
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-O...
Real time circle detection and tracking by Hough Circle Transform with OpenCV on Android OS.
Examples of automation of excel via python, and related useful things
Python Image Search Engine with OpenCV
This is a software for finely removing non-ground points from point clouds.
Computer Vision is one of the hottest topics in artificial intelligence. It is making tremendous advances in self-driving cars, robotics as well as in...
Identifying hand with 21 landmarks. It can also track movement.
RL based agent for browser-based multiplayer battle royale game «surviv.io»
Yet another video to ASCII animation (in Rust)
Custom ROI in Computer Vision Applications
Marker tracking on HoloLens built on Aruco, OpenCV and Unity
Face Recognition using Neural Networks implemented using Keras
Detect difference between two images.
Image Completion is the task of filling missing parts of a given image with the help of information from the known parts of the image. This is an appl...
Camera localization and video stabilization component. Fixed coordinates system. Using Python and OpenCV.
:school_satchel: Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM cla...
Detect and count coins in an image
My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
Soomvaar is the repo which 🏩 contains different collection of 👨💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made durin...
【X世纪星际终端】A Wechat Social and AR Game: 基于微信聊天,结合增强现实技术AR+LBS(基于图像位置)的轻社交星际漂流瓶游戏。向外太空发送漂流信息,看看AI...
Apply ARM NEON for image processing & NEON Intrinsics reference implementation.
Cheat sheet for OpenCV 4.x (Python)
Generator of photomosaics from pictures
Sample use cases in OpenCV 🎨
Tracking and counting pedestrians from webcamera video stream #douhack Donetsk
A deep convolutional neural network system for live emotion detection
[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion....
A simple aruco marker tracking library for the HoloLens and the Unity Editor
Object tracking with OpenCV in open field behavioral test (overhead view maze)
Research project for testing the techniques of processing the human face images via the real-time video streaming
使用 pytesseract ocr 识别 18 位身份证号
📦 Android learning code demos.
Tutorials for learning OpenCV in Python from Scratch
Face recognizing program develop using EmguCV (OpenCV wrapper). It is possible to use 4 different algorithm and 3 different source(Camera, Video, Imag...
Counts number of people passing through a user-generated Region of Interest
Opencv cheat sheet for C++
Python Workouts
:rocket: SLAM for autonomous planetary rovers with global localization
Angle invariant 1D Barcode detection
Seamless Augmented Reality module for QML using UchiyaMarkers
OpenCV 在图像上显示中文
Collection of HAAR and LBP cascades designed to recognize various street signs
🎨 Poor Man's Style Transfer - Painting an image with the style of another, without machine learning