bLUe - A simple and comprehensive image editor featuring automatic contrast enhancement, color correction, 3D LUT creation, raw postprocessing, exposure fusion and noise reduction
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Updated
Sep 9, 2024 - Python
bLUe - A simple and comprehensive image editor featuring automatic contrast enhancement, color correction, 3D LUT creation, raw postprocessing, exposure fusion and noise reduction
Interactive Foreground Extraction using ROI & GrabCut Algorithm
Algorithm practice exercises using OpenCV
馬体格分析
This repo records my computer vision practice. There are 4 projects have been archived so far.
Grabcut implementation, which is color-based foreground-background segmentation. It's based on my 2011 uni project but rewritten and improved.
This project is used for estimating calories.
Reproduce GrabCut (ref paper: "GrabCut": interactive foreground extraction using iterated graph cuts).
This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.
OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)
A python-based implementation of classic computer vision algorithms.
Face detection. Foreground extraction via corners, faces, chroma. Contours and midpoints. 3d skinned mesh with bones. Bindable segments. Export 3d/texture/bone glTF (for 3d-print, etc...).
An iOS image editing app. Computer vision based foreground segmentation with OpenCV and Grabcut algorithm.
Salient Object Detection to cutout the Object in an image.
OpenCVのgrabCutを利用した2値セグメンテーション向けのアノテーションツールです
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