< GSoC | 2016 | StatusReports DigiKam - Automatic Red Eyes detection and correction digiKam includes a basic tool to fix red eyes in image editor. there is no automatic mode (detection and fix), which makes the process of fixing red eyes in a batch of images a time consuming task. The objective of this project is to add a feature to digiKam to detect and fix red eyes automatically, and include this tool in image editor and Batch Queue Manager. Work Report A Brief Description: The objective of this project is to add automatic red eye removal feature to digiKam BQM and Image Editor to detect and correct red eyes automatically. Status: Following were the tasks for my GSoC'16 project: Review current code from older Red Eyes Removal kipi tool which include some interesting algorithms.(Done) Check all features required by the tool in all use cases (specially with BQM).(Done) Implement low level filter for red eyes detection and correction(Done). Implement GUI and integration into image editor.(In Progress) Implement GUI and integration into Batch Queue Manager.(Done) Write unit tests for 8 bits and 16 bits color depth images and different formats (TIFF, PBNG, JP2K, and PGF) and documentation.(In Progress) Implement an automatic red eye correction filter for non-human eyes.(Future Plans) Screenshot: Before Redeye Correction: After Redeye Correction in BQM: IRC Nick: OmarAmin IRC Channel: #digikam This is awesome about GSoC: For the first time to be dealing with large code base, trying to write clean code and working on computer vision which is a field that i'm highly interested in. This is what I learned during GSoC: Dealing with large code base, sharpening my C++ skills, working on a remote project with others, and improving my image processing and computer vision skills. Retrieved from "https://community.kde.org/index.php?title=GSoC/2016/StatusReports/OmarAmin&oldid=73741" This page was last edited on 23 August 2016, at 15:05. Content is available under Creative Commons License SA 4.0 unless otherwise noted.