Open source hardware and software platform to build a small scale self driving car.

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Implementation of Quickdraw - an online game developed by Google

ASCII generator (image to text, image to image, video to video)

Deep Q-learning for playing tetris game

[Active development]ToolBox to make using Pytorch much easier.

Face-recognition using Siamese network

LiTS - Liver Tumor Segmentation Challenge

lock mechanism with face recognition and liveness detection

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Tutorial Series (60 hour course): Essentials of computer vision

photomosaic generator (image to image, video to video)

Video games blended with home automation. Control your IoT devices based on in-game statuses!

Using OpenCV in python to recognize digits in a scanned page of handwritten digits.

Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory

Object tracking by colour and drawing its path.

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Fastest Image scanner using openCV & Dhash 🚀

Apply computer vision to label the lanes in a driving video

Examples of automation of excel via python, and related useful things

A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

Face Recognition Security

Extract and solve sudoku from an image using Computer Vision and Deep Learning

Classify rice grains by calculating their average length/breadth ratio by using Image processing in python.

Project of Skoltech course "Introduction to Computer Vision"

Training our machine to recognise faces from live video feed using openCv

Split any image with any degree of overlap.

Automatic Attendance System is designed to collect and manage student’s attendance records from video camera devices installed in a class rooms. Based on the verification of student identification in the video cameras, attendance will be updated in data base. Attendance will be taken in every class at particular interval of time.

Identify faces from video and images using OpenCV and Deep Learning