GSoC/2016/StatusReports/OmarAmin: Difference between revisions
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DigiKam - Automatic Red Eyes detection and correction | == 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. | 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. | ||
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== Work Report | == 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. | '''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: | '''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) | * Review current code from older Red Eyes Removal kipi tool which include some interesting algorithms.(Done) | ||
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'''Screenshot:''' | '''Screenshot:''' | ||
[[File:Redeye.JPG| | |||
[[File:Redeye.JPG]] | |||
Before Redeye Correction: | |||
[[File:before.JPG|center]] | |||
After Redeye Correction in BQM: | |||
[[File:after.JPG|center]] | |||
IRC Nick: OmarAmin | IRC Nick: OmarAmin | ||
IRC Channel: #digikam | IRC Channel: #digikam | ||
'''This is awesome about GSoC:''' For the first time to be dealing with large code base and | '''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 | '''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. | ||
Latest revision as of 15:05, 23 August 2016
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.