Pipeline to convert real-life chess boards into a 2D digital format(FEN) from images and live camera feeds. The system has 2 versions: one for real-time processing using the OAK-D Lite camera and another for high-precision analysis of static images. YOLO is used to detect chess pieces, and traditional cv methods determine board positioning

• UpdatedJan 10, 2026
• Jupyter Notebook

Computer vision projects focused on object detection, object tracking, classical computer vision techniques, image segmentation, feature extraction algorithms, and more. Python and C++ implementations available.

• UpdatedJan 28, 2026
• Jupyter Notebook

This repo contains implementations of some of the classical computer vision algorithms/techniques for feature extraction, feature matching, image transformation, color image reconstruction, image denoising, image classification, and image segmentation.

• UpdatedAug 19, 2024
• Jupyter Notebook

Python implementation of Laplacian pyramid algorithm for blending images using reduce/expand, Gaussian/Laplacian pyramids, and combine/collapse functions for realistic outputs

• UpdatedJan 26, 2023
• Jupyter Notebook

Multi-object tracking of water fleas from video. Detects dark blotches on light background, performs multi-object association, tracks them with Kalman filters.

• UpdatedFeb 5, 2021
• Python

Implementation of Classical Structure from Motion pipeline

• UpdatedMay 4, 2023
• Python

Lane Detection using classical approach and a deep learning based approach

• UpdatedMar 1, 2024
• C++

A multi-stage computer vision algorithm to detect edges in images. Developed by John Canny in 1986, widely used in image processing, computer vision, and other fields. This repo provides an implementation in Python

• UpdatedJan 26, 2023
• Jupyter Notebook

Haar cascade classifiers detecting faces and eyes in images with OpenCV.

• UpdatedNov 6, 2022
• Jupyter Notebook

Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.

• UpdatedAug 13, 2025
• Python

A collection of computer vision algorithm implementations, covering various techniques and transformations.

• UpdatedMar 12, 2025
• Python

just a redo of a previously done project using python 3.13 ;)

• UpdatedAug 7, 2025
• Python

This project involves developing a simplified boundary detection algorithm that combines texture, brightness, and color gradients with classical edge detection methods like Sobel and Canny. The final boundary map is generated by fusing these feature gradients with traditional edge detection methods for more robust and accurate edge detection.

• UpdatedOct 15, 2024
• Jupyter Notebook

just a classical approach to the green screen effect

• UpdatedJul 17, 2025
• C++

Environment to explore AI/DL algorithms, with experiments and results. | Explored: Docker; CI/CD; Foundation Models (V+L); Chat LLMs+RAG; Sensor Fusion; Computer Vision; 2D/3D data generation

• UpdatedFeb 4, 2026
• Python

This project captures frames from a webcam and stitches them together into a panorama using OpenCV's and optionally saves the final panorama.

• UpdatedAug 14, 2025
• Python

Computer Vision Course (CS-GY 6643) - Lab Assignments + Projects

• UpdatedDec 26, 2024
• Jupyter Notebook

Real-time OpenCV face & blur detection system with Flask-based live video streaming. Focused on classical CV and production-aware design.

• UpdatedDec 27, 2025
• Python

Structured implementations of classical computer vision primitives in MATLAB, covering filtering, frequency-domain analysis, wavelets, morphology, registration, and texture modeling with reproducible export-first design.

• UpdatedFeb 20, 2026
• HTML

Image compositing and alpha matting in Python with OpenCV and NumPy; artifact color correction, matte generation, and foreground-background blending. 🐙

• UpdatedFeb 20, 2026
• Python