Python script for vehicle detection and tracking using YOLOv8 with dynamic road extent visualization. The model adapts to various camera angles, accurately determining road height by detecting road, sky, and mid lines. Includes TTC calculations, cut-in warnings, and visual overlays.

It allows to analyze, edit, work with the different characteristics present in images. Like Filter Spectrum, Image Vectorizer, High Resolution Image Mosaic, Image Mosaic

Analyze color space components (Hue, Saturation, Intensity) of an image using OpenCV in Python

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

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

Using computer vision with deep learning methods to identify and estimate the stress severity caused by biotic agents on coffee leaves.

This repo is for detecting colors using hue saturation values.

OpenCV and ESP32 CAM

Convert your HEXA color format to HSV format.

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

Real-time color and object detection application in the Ubuntu 18.04 environment and Gazebo simulation. This application was developed using the Python programming language, OpenCV library, ROS, and the YOLO algorithm.

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

🚀🌈 🎨 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.

Object Detection using color detection and noise reduction in a game video file.

Image processing tools are powerful software applications that enable the manipulation, enhancement, and analysis of digital images, offering a wide range of features such as filtering, transformation, segmentation, and object recognition.

Implement a Hand Gesture Recognition System. Given an image containing a single hand, the system is supposed to classify the hand gesture into one of six digits (from 0 to 5). The system handles different lighting effects and different hand poses as much as possible. It is implemented in a complete machine learning pipeline.

🚀🌈♾ 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

You can find an objects's HSV code in Python to detect an object with Web Camera

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