https://github.com/pintowar/sudoscan-web

Sudoscan web version
https://github.com/pintowar/sudoscan-web

choco-solver deeplearning4j djl dl4j java kotlin micronaut ojalgo opencv spi tensorflow2

Last synced: about 1 month ago
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Sudoscan web version

• Host: GitHub
• URL: https://github.com/pintowar/sudoscan-web
• Owner: pintowar
• License: apache-2.0
• Created: 2021-10-29T00:09:31.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2023-03-04T19:03:15.000Z (over 1 year ago)
• Last Synced: 2023-10-20T22:23:32.656Z (about 1 year ago)
• Topics: choco-solver, deeplearning4j, djl, dl4j, java, kotlin, micronaut, ojalgo, opencv, spi, tensorflow2
• Language: TypeScript
• Homepage:
• Size: 588 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# SudoScan Web

![master status](https://github.com/pintowar/sudoscan-web/actions/workflows/gradle_master.yml/badge.svg?branch=master)

![develop status](https://github.com/pintowar/sudoscan-web/actions/workflows/gradle_develop.yml/badge.svg?branch=develop)

![GitHub tag (latest)](https://img.shields.io/github/v/tag/pintowar/sudoscan-web)

![GitHub license](https://img.shields.io/github/license/pintowar/sudoscan-web)

Scan and Solve Sudoku Puzzles Web Version

## Project Info

This is a web version of the [Sudoscan Project](https://github.com/pintowar/sudoscan).

The main engine uses Sudoscan's libs on the server side while a Typescript/React client uses webcam + websockets 

to solve Sudoku Puzzles given a Puzzle image.  

This is a toy project for educational purpose.

I usually use this project to explore some JVM/Kotlin libs, new Gradle features/plugins,

AI libs and CI pipes (using github actions).

### Running with Docker

For a quick view of the application in action, run the following command:

`docker run -p 8080:8080 pintowar/sudoscan-web`

After the application is running, it can be accessed using the browser at `http://localhost:8080`.

### Project Modules

The project was broken into the following modules (using java SPI):

* sudoscan-webclient: Web client UI using React js + Typescript + Tailwind;

* sudoscan-webserver: Webserver using Micronaut framework + Sudoscan lib.

## Building Project

This project uses dependencies from the [sudoscan project](https://github.com/pintowar/sudoscan) sub-modules. Those dependencies are hosted on Github Packages. In order to make gradle be able to download them, add these lines to `$HOME/.gradle/gradle.properties` (create the file if it doesn't exist):

```properties

gpr.user=github_user

gpr.pass=github_token

```

To build the fat jar version of the app, run the following command:

`gradle -Pweb-cli -PjavacppPlatform=linux-x86_64,macosx-x86_64,windows-x86_64 clean assembleWebApp`

The command above will build a fat jar containing the native dependencies of all informed platforms. The `web-cli` param tells gradle to add the minified client generated on **sudoscan-webclient** sub-module.

To build a more optimized jar, just inform the desired platform, for instance: 

`gradle -Pweb-cli -PjavacppPlatform=linux-x86_64 clean assembleWebApp`

It is also possible to chose in compile time, which solver/recognizer module to use. The commands above (by default)

will generate a jar using **sudoscan-solver-choco** and **sudoscan-recognizer-dl4j** as the main solver and recognizer.

To use **sudoscan-solver-ojalgo** and **sudoscan-recognizer-djl** as solver and recognizer components,

run the following command:

`gradle -Pweb-cli -Pojalgo -Pdjl -PjavacppPlatform=macosx-x86_64 clean assembleWebApp`