tegaki-zinnia-simplified-chinese 0.3-3 source package in Ubuntu
Changelog
tegaki-zinnia-simplified-chinese (0.3-3) unstable; urgency=medium * QA upload. [ Debian Janitor ] * Set upstream metadata fields: Bug-Database, Bug-Submit, Repository-Browse. * Update standards version to 4.6.1, no changes needed. -- Jelmer Vernooij <email address hidden> Sun, 27 Nov 2022 04:43:03 +0000
Upload details
- Uploaded by:
- Debian QA Group
- Uploaded to:
- Sid
- Original maintainer:
- Debian QA Group
- Architectures:
- all
- Section:
- localization
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | utils | |
| Noble | release | universe | utils | |
| Mantic | release | universe | utils | |
| Lunar | release | universe | utils |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| tegaki-zinnia-simplified-chinese_0.3-3.dsc | 2.0 KiB | f5eb26d1f9e5eeb41fc6a58857ecfb68888065489053ba03311f49bc95f14688 |
| tegaki-zinnia-simplified-chinese_0.3.orig.tar.gz | 17.8 MiB | 63f29e7d7c7a71e94ab003353924304ab2a870a8e220a77800cf984c0620d41f |
| tegaki-zinnia-simplified-chinese_0.3-3.debian.tar.xz | 2.5 KiB | 8256dda34af870a08a95096efc2c22ad896f4fb38bc043eef41b1f22aa908a24 |
Available diffs
- diff from 0.3-2 to 0.3-3 (673 bytes)
No changes file available.
Binary packages built by this source
- tegaki-zinnia-simplified-chinese: Simplified Chinese handwriting model for Zinnia
Zinnia is a simple, customizable and portable online hand recognition
system based on Support Vector Machines. Zinnia simply receives user pen
strokes as a sequence of coordinate data and outputs n-best characters
sorted by SVM confidence. To keep portability, Zinnia doesn't have any
rendering functionality. In addition to recognition, Zinnia provides
training module that allows the user to create any hand-written recognition
systems with low-cost.
.
This package provide a data model for Zinnia. With this model, Zinnia can
recognize Simplified Chinese character.
.
This data model is derived from tomoe project: http://tomoe.sourcefor ge.jp
