GSoC/2020/StatusReports/NghiaDuong: Difference between revisions
No edit summary |
No edit summary |
||
| Line 13: | Line 13: | ||
==== GitLab development branch ==== | ==== GitLab development branch ==== | ||
[https://invent.kde.org/graphics/digikam/-/tree/gsoc20-facesengine-recognition gsoc20-facesengine-recognition] | [https://invent.kde.org/graphics/digikam/-/tree/gsoc20-facesengine-recognition gsoc20-facesengine-recognition] | ||
== Contacts == | |||
'''Email''': [email protected] | |||
'''Github''': MinhNghiaD | |||
'''LinkedIn''': https://www.linkedin.com/in/nghia-duong-2b5bbb15a/ | |||
<br> | |||
== Project Goals == | == Project Goals == | ||
| Line 22: | Line 30: | ||
* Re-structure faces engine architecture | * Re-structure faces engine architecture | ||
* Port faces engines to Plugin architecture | * Port faces engines to Plugin architecture | ||
== Work Report == | |||
=== Community Bonding period (May 1 to May 31) === | |||
During this period, I familiarized myself with [[GSoC/2019/StatusReports/ThanhTrungDinh|the work of Thanh Trung Dinh]], in order to evaluate the current implementation. | |||
<br> | |||
Revision as of 09:50, 27 June 2020
Digikam : DNN based Faces Recognition Improvements
DigiKam is a famous open-source photo management software. With a huge effort, the developers of digiKam have implemented face detection and facial recognition features in a module called faces engine. This module implements different methods to scan faces and then label them based on the pre-tagged photos given by users.
Since last year, as a result of Thanh Trung Dinh's project during GSoC 2019, digiKam's faces engine has adopted new CNN based face processing methods. These methods have been proven to give a better performance than other traditional image processing methods implemented in digiKam. However, there still are some limitations in the current implementation of the faces engine, therefore the main goals of this project to continue Thanh Trung Dinh's works and improve the performance of digiKam's faces engine.
Mentors : Gilles Caulier, Maik Qualmann, Thanh Trung Dinh
Important Links
Project Proposal
Digikam DNN based Faces Recognition Improvements
GitLab development branch
gsoc20-facesengine-recognition
Contacts
Email: [email protected]
Github: MinhNghiaD
LinkedIn: https://www.linkedin.com/in/nghia-duong-2b5bbb15a/
Project Goals
The current goals of this project are to :
- Improve the accuracy of faces classifier
- Optimize the use of memory of faces engine
- Decrease storage space of faces engine
- Improve processing speed
- Re-structure faces engine architecture
- Port faces engines to Plugin architecture
Work Report
Community Bonding period (May 1 to May 31)
During this period, I familiarized myself with the work of Thanh Trung Dinh, in order to evaluate the current implementation.