🚀🌈 🎨 Collection of Color Pickers written with Jetpack Compose with solid Color or Gradient with type, tile mode, and color stops in HSL/HSV/RGB models with Colorful Sliders, displays, and many customization options.

This project enables you to play virtual drums simply by using concepts of image processing and computer vision.

🚀🌈♾ Utility library that expands Compose Colors with Material Design2 colors, color swatches, Material Design 3 Tonal Palettes, color names, and utility functions to convert between HSL, HSV, RGB, HCT models and to HEX or from HEX

C++ Automated white balance using lodepng and some color correction

Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.

Implementation of Marching Cubes algorithm to generate various types of terrains

Program developed in Python that reads and records the score in Valorant's practice range using HSV filters and OCR. Scores are used to find the all-time, average score in the practice range.

Simulation of a robot that goes around a supermarket picking up fallen objects

Object-Tracking-based-on-Color

OpenCV and ESP32 CAM

Color matching and detection, skin and finger detection with opencv

Color recognizer app which can detect colors from your camera using Python.

Extracting the G-code cloud points and saving them in CSV. Simultaneously background of the images are removed and compared with the G-code point clouds, thus detecting errors in the 3D printed component.

A short and simple python program using OpenCV module.

This Python program uses OpenCV for real-time color-based image segmentation and filtering. It offers a graphical interface with trackbars to adjust HSV color channel ranges. It loads an image, applies the chosen color range as a mask, and displays the original image, HSV representation, mask, and filtered image in a stacked layout.

Autonomous car for simulator system using OpenCV

An HSV-based Image Segmentation Web App using Flask, enabling users to explore color boundaries for precise segmentation.

This sample project includes an implementation of object detection with video data.

Convert your HEXA color format to HSV format.

Using the Tkinter GUI and OpenCV to filter and get the upper and lower HSV ranges from camera video capture