How to Install and Uninstall tegaki-zinnia-simplified-chinese Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: March 19,2024

1. Install "tegaki-zinnia-simplified-chinese" package

Learn how to install tegaki-zinnia-simplified-chinese on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install tegaki-zinnia-simplified-chinese

2. Uninstall "tegaki-zinnia-simplified-chinese" package

This tutorial shows how to uninstall tegaki-zinnia-simplified-chinese on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove tegaki-zinnia-simplified-chinese $ sudo apt autoclean && sudo apt autoremove

3. Information about the tegaki-zinnia-simplified-chinese package on Ubuntu 20.10 (Groovy Gorilla)

Package: tegaki-zinnia-simplified-chinese
Architecture: all
Version: 0.3-1
Priority: optional
Section: universe/utils
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: LI Daobing
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 26292
Filename: pool/universe/t/tegaki-zinnia-simplified-chinese/tegaki-zinnia-simplified-chinese_0.3-1_all.deb
Size: 17793510
MD5sum: efb8522cb0d94a44d48dcdc284d25a80
SHA1: 52ae8037e405063a02dd9072b24a5711661e867e
SHA256: 2ac147014db5cab1986b2aec2010b8434594b4fd1da869d2d973971a0ce62269
SHA512: e1adaf20dae5acc097370a2229ab6738540d92671d2b69156138c2ca28c01fb709f3955bb9686126e635678d4618b45ee2ed5a65ba48491efdd58a18d2680bdc
Homepage: http://tegaki.sourceforge.net/
Description-en: 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 us 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.sourceforge.jp
Description-md5: 88bf511770de34c9cb507cc1bd505673