Student Showcase Part 1
summary
Four student projects deliver concrete features and numbers: DigiKam adds ignored faces, a new sorting algorithm that surfaces newly recognized faces first, automatic face grouping for bulk confirmations, and dynamic pinning of people with pending matches. GCompris adds five-level multiple datasets to clock and balance-scale activities, an OK button, and applies extra datasets to 10–12 of 20 memory games. Krita implements mesh gradients with rendering and saving (four objectives: parse, render, save, tooling) and renders photoreal examples. Kdenlive adds per-clip default colors, proxy/effect badges and basic subtitling (SRT/ASS parser, subtitle track and clip).
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chapters (18)
- 0:00Introduction and journey
- 1:03KDE contributions and GSoC
- 2:06Facial recognition demo
- 5:32New features in Digicam
- 6:37Sorting and categorization
- 7:18GCompris tutorial skill
- 8:22Clock game improvements
- 9:24Balance scale datasets
- 10:25Memory activities updates
- 11:49Mirror the given image
- 12:32SVG mesh gradients intro
- 14:19Mesh gradients explained
- 15:22Motivation for project
- 17:09Kdenlive color palette
- 18:54Visual feedback for clips
- 19:37Subtitling support in Kdenlive
- 20:41Subtitle file parsing
- 21:43Conclusion and thanks
