Play the Namibian game of Owela against a terrible AI. Built using Django and htmx.

Overview

Owela Club

A Django project for playing the Namibian game of Owela against a dumb AI. Built following the rules described on the Mancala World wiki page for Owela.

Running

  1. Make a Python 3.9 virtual environment with dependencies:

    python3.9 -m venv venv
    source venv/bin/activate
    python -m pip install -U pip wheel
    python -m pip install -r requirements.txt

    The code was developed on Python 3.9 but may run on older versions.

  2. Run the tests:

    pytest

    This should show output starting with:

    === test session starts ===
    

    …and finishing with output like:

    === 28 passed in 0.74s ===
    
  3. Create the development database:

    python manage.py migrate
  4. Start the development server.

    On Linux and macOS:

    DEBUG=1 python manage.py runserver

    On Windows:

    set DEBUG=1
    python manage.py runserver

Developing

You’re free to edit the code already, but for the smoothest experience there are some extra tools you can set up.

First, there’s Editorconfig, which ensures your text editor is well configured for editing. Install the appropriate editorconfig plugin for your text editor and the plugin will automatically confgiure your text editor based on the .editorconfig file.

Second, there’s pre-commit, which runs several code quality tools whenever you run git commit. These tools are configured in the .pre-commit-config.yaml file. To set up pre-commit:

  1. Install pre-commit by following its instructions. You can use your virtual environment’s pip for the simplest setup.

  2. Install the pre-commit hooks into your local repository:

    pre-commit install

    This will configure Git to run pre-commit before each commit.

  3. Check all files in the repository pass your pre-commit setup:

    pre-commit run --all-files

    You should see many Passed messages, such as:

    isort....................................................................Passed
    flake8...................................................................Passed
    

Extra tasks

This site has only been built as a demo of using htmx with Django. It’s therefore missing some useful features for playing the game. Here are some ideas of how to extend it...

  • Deploy the game online by using hosting such as Heroku and following the Django deployment checklist.
  • Make the board look good, maybe using a stony texture or showing the actual seeds.
  • Display more information about the last two moves, such as highlighting selected squares and affected squares.
  • Make the AI smarter - perhaps based on some heuristics such as “move from the biggest square” or “prefer moves on the inner row”.
  • Have multiple AI functiosn and allow new games to pick which one to play against.
  • Allow selecting different board widths.
  • Allow rule variations such as Hus or regional/house rules.
  • Allow player-versus-player games. htmx’s hx-trigger polling can be used for simple updating of the board state.
  • Add a login function so players can track their games.
Owner
Adam Johnson
🦄 @django technical board member 🇬🇧 @djangolondon co-organizer ✍ AWS/Django/Python Author and Consultant
Adam Johnson
RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection

RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection For more details, please refer to our paper. Citing Please cite the related works

Minghui Liao 102 Jun 29, 2022
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

SEE: Towards Semi-Supervised End-to-End Scene Text Recognition Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text

Christian Bartz 572 Jan 05, 2023
The code of "Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes"

Mask TextSpotter A Pytorch implementation of Mask TextSpotter along with its extension can be find here Introduction This is the official implementati

Pengyuan Lyu 261 Nov 21, 2022
Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

Scene Text Recognition Recommendations Everythin about Scene Text Recognition SOTA • Papers • Datasets • Code Contents 1. Papers 2. Datasets 2.1 Synth

Deep Learning and Vision Computing Lab, SCUT 197 Jan 05, 2023
Corner-based Region Proposal Network

Corner-based Region Proposal Network CRPN is a two-stage detection framework for multi-oriented scene text. It employs corners to estimate the possibl

xhzdeng 140 Nov 04, 2022
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE

EAST_ICPR: EAST for ICPR MTWI 2018 CHALLENGE Introduction This is a repository forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE. Origin Reposi

Haozheng Li 157 Aug 23, 2022
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

SynthText Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Ved

Ankush Gupta 1.8k Dec 28, 2022
Learn computer graphics by writing GPU shaders!

This repo contains a selection of projects designed to help you learn the basics of computer graphics. We'll be writing shaders to render interactive two-dimensional and three-dimensional scenes.

Eric Zhang 1.9k Jan 02, 2023
POT : Python Optimal Transport

This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.

Python Optimal Transport 1.7k Jan 04, 2023
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

OCR Resources This repository contains a collection of resources (including the papers and datasets) of OCR (Optical Character Recognition). Contents

Zuming Huang 363 Jan 03, 2023
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral)

MTLFace This repository contains the PyTorch implementation and the dataset of the paper: When Age-Invariant Face Recognition Meets Face Age Synthesis

Hzzone 120 Jan 05, 2023
CNN+Attention+Seq2Seq

Attention_OCR CNN+Attention+Seq2Seq The model and its tensor transformation are shown in the figure below It is necessary ch_ train and ch_ test the p

Tsukinousag1 2 Jul 14, 2022
Sort By Face

Sort-By-Face This is an application with which you can either sort all the pictures by faces from a corpus of photos or retrieve all your photos from

0 Nov 29, 2021
A document scanner application for laptops/desktops developed using python, Tkinter and OpenCV.

DcoumentScanner A document scanner application for laptops/desktops developed using python, Tkinter and OpenCV. Directly install the .exe file to inst

Harsh Vardhan Singh 1 Oct 29, 2021
Memory tests solver with using OpenCV

Human Benchmark project This project is OpenCV based programs which are puzzle solvers for 7 different games for https://humanbenchmark.com/. made as

Bahadır Araz 24 Dec 27, 2022
Captcha Recognition

The objective of this project is to recognize the target numbers in the captcha images correctly which would tell us how good or bad a captcha system has been built.

Mohit Kaushik 5 Feb 20, 2022
OpenMMLab Text Detection, Recognition and Understanding Toolbox

Introduction English | 简体中文 MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the correspondi

OpenMMLab 3k Jan 07, 2023
Tesseract Open Source OCR Engine (main repository)

Tesseract OCR About This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM

48.4k Jan 09, 2023
Official code for :rocket: Unsupervised Change Detection of Extreme Events Using ML On-Board :rocket:

RaVAEn The RaVÆn system We introduce the RaVÆn system, a lightweight, unsupervised approach for change detection in satellite data based on Variationa

SpaceML 35 Jan 05, 2023
Python-based tools for document analysis and OCR

ocropy OCRopus is a collection of document analysis programs, not a turn-key OCR system. In order to apply it to your documents, you may need to do so

OCRopus 3.2k Dec 31, 2022