A data generator for 2D object detection
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Updated
Apr 16, 2018 - Python
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 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.
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*
Transform your images & labels
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.
Transformation GUI based on tkinter with the help of OpenCV and PIL.
Some algorithms in computer vision
This collection of scripts allows you to perform various image transformations, including converting images to monochrome, creating negative versions, and generating positive versions.
Implementation of Computer Vision Algorithms
This repository contains my work for CSE 4310 Computer Vision course in Spring 2022 with Professor Alex Dilhoff at UTA.
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