https://github.com/apachecn-archive/imgyaso

https://github.com/apachecn-archive/imgyaso

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.3%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: apachecn-archive
  • License: other
  • Language: Python
  • Default Branch: master
  • Size: 1.83 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme Changelog License

README.md

ImgYaso

提供多种图像处理工具,包括自适应二值化,灰度网格仿色,扩散仿色,和颜色缩减。

安装

通过 pip(推荐):

pip install imgyaso

从源码安装:

pip install git+https://github.com/apachecn/imgyaso

并且安装 ImageMagick。可能还需要安装libgl1

使用说明

``` imgyaso [-h] [-v] [-c COLORS] [-m {grid,noise,trunc,quant,thres}] [-o OFNAME] fname

-c COLORS: 颜色数,只对 trunc, quant 模式有效 -m MODE: 模式名称,值为 grid(灰度网格仿色),noise(灰度扩散仿色), trunc(灰度截断),quant(颜色缩减),thres(自适应二值化), 默认为 quant -o OFNAME: 输出文件名称,默认和输入文件相同 fname: 输入文件名称 ```

协议

本项目基于 SATA 协议发布。

您有义务为此开源项目点赞,并考虑额外给予作者适当的奖励。

赞助我们

另见

Owner

  • Name: ApacheCN 归档
  • Login: apachecn-archive
  • Kind: organization
  • Email: wizard.z@qq.com

防止重要项目丢失而设立的归档

GitHub Events

Total
Last Year

Dependencies

requirements.txt pypi
  • libimagequant *
  • numpy *
  • opencv-python *
  • pillow *
  • scipy *
setup.py pypi