WaveGridImageMachine

Simple Application for Saving p5.js canvas animations to file for a collection of seeds.
Useful for making generative algo art.
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact

About The Project

example BitDrop generated from the WaveGridImageMachine

Built this application in order to produce BitDrops (a Generative Algo Art collection).

Pretty simple application, but built so that you can:

1. Program animations in the canvas using p5.js
2. Save animation frames to file to be used to make gif/mp4/etc..
3. Input an array of seeds
4. Do step number 2 for each seed

Currently it reads seeds from the bin-list.json file.

(BitDrops used the seeds from Bins, a previous collection of randomly generated bits). Any seeds could be used tho.

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Built With

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Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

You must have dotnet 5.0 setup

• check dotnet versions with

  dotnet --version

for installation instructions see DotNet installation

Installation

1. Clone the repo

   git clone https://github.com/BitByteBin/WaveGridImageMachine.git

2. Build and Run

   dotnet run

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Usage

WaveGridImageMachine in action:

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Roadmap

• Program animations in the canvas using p5.js
• Save animation frames to file to be used to make gif/mp4/etc..
• Input an array of seeds
• Do step number 2 for each seed
• Generalize to make switching out algorithms as simple as adding a file and changing a variable

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Twitter: @0xStabby

Project Link: https://github.com/BitByteBin/WaveGridImageMachine

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