Repository navigation
color-detection
- Website
- Wikipedia
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.
🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
Functions for automating osrs botting using Python.
Showcasing mini projects using OpenCV, where I explore the endless possibilities of computer vision and image processing.
This project enables you to play virtual drums simply by using concepts of image processing and computer vision.
Advanced & easy2use Python class for making image placeholders, supports massive conversion with the speed of light.
A test iOS app for identifying wide color (Display P3) in a live camera feed
🚀🌈🔍 Detect colors from image or your screen after taking it's screenshot and get details as name, hex code, RGB, HSL. Written with Jetpack Compose and Material Design 3
color recognition methods(kmeans and hsv)
Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision.
Easy-to-use method for color detection. This method uses multiple ranges and can automatically determine them.
ColorDetection is an app built with OpenCV and using computer vision at its core. It’s able to detect and change colors of objects using a camera of iOS devices.
Speed detection of objects (Color and shape recognition)
Real-Time Multiple Color Detection through WebCam
Computer Vision Object Detection Methods with OpenCV 3.2.0
Prototype of automated store (Machine Learning + Color and Shape detection)
An interactive color detection application using Python and OpenCV to identify and display color names from images.
Build a underwater vehicle that can autonomously navigate through an obstacle course with colored markers