qd_mosaic | Build SVG plotter mosaics using the doodles in the Quick

by jbum Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | qd_mosaic Summary

qd_mosaic is a Python library. qd_mosaic has no bugs, it has no vulnerabilities and it has low support. However qd_mosaic build file is not available. You can download it from GitHub.

Mosaic builder for building photomosaic-style mosaics intended for use with pen plotters. Currently works with images from the Quick Draw dataset at This code is derived from code used to make raster photomosaics originally written for the book Flickr Hacks. I've added additional scripts to produce raster thumbnail previews of what the various doodles look like when drawn in black or white ink. These thumbnails are used by the build_mosaic script to construct a raster photomosaic in the usual way (by selecting thumbnails that match the desired target picture). Once the appropriate doodles are selected, information about the tileset is output to a JSON file and a JPG preview is made from the thumbnails. The saved JSON data can then be used, in conjunction with the original binary files from Quick Draw, to produce an SVG which can be plotted.

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Reuse

Support

qd_mosaic has a low active ecosystem.

It has 22 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of qd_mosaic is current.

Quality

qd_mosaic has 0 bugs and 0 code smells.

Security

qd_mosaic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

qd_mosaic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qd_mosaic does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

qd_mosaic releases are not available. You will need to build from source code and install.

qd_mosaic has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

qd_mosaic saves you 514 person hours of effort in developing the same functionality from scratch.

It has 1207 lines of code, 59 functions and 8 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed qd_mosaic and discovered the below as its top functions. This is intended to give you an instant insight into qd_mosaic implemented functionality, and help decide if they suit your requirements.

Make a mosaic
Save data to a json file
Loads the mosaick data
Get a cropped photo
Returns an Image object
Make a local file path
Download image at given index
Builds dirs
Unpack all drawings from a file
Parse a drawing file
Render a drawing cell
Draw a thumbnail
Make a heatmap from a file
Return an Image object
Run a shell command

Get all kandi verified functions for this library.

qd_mosaic Key Features

No Key Features are available at this moment for qd_mosaic.

qd_mosaic Examples and Code Snippets

No Code Snippets are available at this moment for qd_mosaic.

Community Discussions

No Community Discussions are available at this moment for qd_mosaic.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install qd_mosaic

You can download it from GitHub.
You can use qd_mosaic like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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