Demo project showcasing basic (naive) computer vision lane detection techniques (edge detection, Hough transform, etc).

Our perfect companions never have fewer than four feet - Colette.

Experimenting with deep learning to implicitly represent images

Python script with trained model to detect Pakistani National Identity Card from webcam using Tensorflow and OpenCV

This is a complete package of OCR model for invoices. With this project, one can automatically fill up the information to the database present in the medical stores just by showing an invoice sample to the camera. The model will recognise the necessary information, and the details will be updated in the database.

google big transfer embeddings on images for reverse image search and clustering

Code and projects developed in the VCOM subject throughout the semester (MIEIC 4th year, 2nd semester).

A Covid Warrior : Face Mask Recogniser is a modern day implementation of Machine Learning using TensorFlow. It will not only save people's life during pandemic, but also spreads awareness about wearning face mask properly.

Running LED with computer vision and Arduino

Computer Vision Project implementation of Harris Corner Detection, and Hough Transform.

Detect, track and count different classes of objects.

A TCP Controlled robot system with camera aid written in python on top of ArtecRobo

🔍📸🌐 VisualAIProjects: Repository for cutting-edge computer vision and Visual AI projects! Explore 🌟advanced algorithms and models🌟 for image recognition, object detection, segmentation, and synthesis. 🚀🔓 Join us in the captivating world of computer vision and unlock the full potential of Visual AI! 🌍💡

Easy to use, popular computer vision layers' implementations with customizable parameters

Mini Projects which I have done as a part of course.

This is a sample project demonstrating how to use OpenCV and CUDA in C++ for detecting people in drone footage with YOLO. The project aims to be simple and understandable for those who want to learn how to use OpenCV and CUDA in C++.

CLIP based human action recognition, alignment of text and image using Prompt engineering.