A data generator for 2D object detection

Pelican plugin that automates image processing

discolight is a robust, flexible and infinitely hackable library for generating image augmentations ✨

Pytorch implementation of Ligeng Zhu and Brian Funt 's paper "Colorizing Color Images"

Paper Transformation and Streaming - The Runner-Up at Call For Code IBM SoICT Hackathon 2020.

Image augmentation using pytorch and albumentations

The code is primitive attempt to achieve video stabilization using OpenCV and without Deep Learning approach. It uses foundational computer vision techniques like feature detections, optical flow, transformation and warping.

The implementation of Generative Adversarial Network as the part of "Photo-to-Emoji Transformation" research series. The generator uses U-Net as the auto-encoder transformer.

The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.

Transform your images & labels

This command line tool can be used to collect image dataset from BeamNG gameplay and supports calculating neuron coverage of a DNN model. It can be extended to create a neuron coverage guided testing tool to generate test cases for simulation-based testing of DNN-based self-driving vehicles

This project is an image processing and augmentation tool

An interpreter of image transformations, inspired by *Beyond Photography: The Digital Darkroom*

A streamlit app to visualize images/video and apply basic transformations to get some insights.

A useful tool for creating datasets with characteristics of x-ray images

A simplified approach to Data Augmentation for Computer Vision applications using python.

This repository contains my work for CSE 4310 Computer Vision course in Spring 2022 with Professor Alex Dilhoff at UTA.

Library for polar transforms of images using PyTorch and Kornia

Some algorithms in digital image processing.

Transformation GUI based on tkinter with the help of OpenCV and PIL.