Image augmentation for machine learning experiments.
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Updated
Jul 30, 2024 - Python
Image augmentation for machine learning experiments.
GUI for ImageMagick and Wand
A command-line tool that lets you change gamma in GNOME and Cinnamon (with Wayland). You can also adjust contrast and brightness. It works by creating a color profile with the VCGT table, so that changes are persistent and don't interfere with other settings like night light.
OpenCV tool that combines image processing algorithms to remove black-bar caption filters from Snapchat images
A contrast enhancement approach involving non linear mapping of Laplacian pyramid.
Python implementation of the Zeta score for contrastive text analysis
image fidelity assessment software
A lightweight data-augmentation library for machine learning
This repo contains implementation of CNN based regression network for Pupil Center Estimation in smartphones
Image Reading, writing, histogram, histogram equalization, local histogram equalization, low pass filter, high pass filter, geometrical transformation
Python scripts for maximising signal local contrast.
GitHub Action to verify an application by determining whether the application violates a job outcome policy or threshold of open vulnerabilities
auto-correct contrast and brightness of photographed document
Implementation of fast Data Augmentation for Image Classification / Detection tasks.
A small and simple python image processor to apply, view and save a variety of different image filters like threshold, brightness, contrast, blur, sharpen, dilate, erode, edge detection and mirror. Modified images can also be saved. Can also be used using cmmand line arguments. This project was part of some of my university coursework.
This repo helps to edit image, cartoonifying image, detect facial parts of human like eyes, smile etc and many other things. It is made using Python, OpenCV ( image processing ), Streamlit and haar cascade classifier for facial detection
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