https://github.com/jpvt/noisevolumesdemo

An interactive web-based dashboard for generating and visualizing 3D noise volumes using Streamlit. Customize noise parameters like noise type, volume size, number of volumes, and more, then explore the generated volume slice by slice. Export the volume as a TIFF file for further processing or analysis.
https://github.com/jpvt/noisevolumesdemo

Last synced: about 1 year ago
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An interactive web-based dashboard for generating and visualizing 3D noise volumes using Streamlit. Customize noise parameters like noise type, volume size, number of volumes, and more, then explore the generated volume slice by slice. Export the volume as a TIFF file for further processing or analysis.

• Host: GitHub
• URL: https://github.com/jpvt/noisevolumesdemo
• Owner: jpvt
• License: mit
• Created: 2023-03-31T13:41:02.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-10-19T17:44:50.000Z (over 2 years ago)
• Last Synced: 2024-04-29T00:08:28.895Z (about 2 years ago)
• Language: Python
• Size: 27 MB
• Stars: 2
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 3D Noise Generator Dashboard

[![GitHub license](https://img.shields.io/badge/license-MIT-blueviolet)](https://github.com/jpvt/NoiseVolumesDemo/blob/main/LICENSE)

[![Author](https://img.shields.io/badge/author-jpvt-blue)](https://www.linkedin.com/in/jpvt/)

![3D Volume Simplex example 1](examples/noise_volume_example_1.gif)

![3D Volume Simplex example 2](examples/noise_volume_example_2.gif)

![3D Volume Simplex example 3](examples/noise_volume_example_3.gif)

![3D Volume Simplex example 4](examples/noise_volume_example_4.gif)

![3D Volume Perlin example 1](examples/perlin_volume_example_1.gif)

![3D Volume Perlin example 2](examples/perlin_volume_example_2.gif)

![3D Volume Perlin example 3](examples/perlin_volume_example_3.gif)

![3D Volume Perlin example 4](examples/perlin_volume_example_4.gif)

An interactive web-based dashboard for generating and visualizing 3D noise volumes using Streamlit. Customize noise parameters like noise type, volume size, number of volumes, and more, then explore the generated volume slice by slice. Export the volume as a TIFF file for further processing or analysis.

---

## Setup

```sh

pip install -r requirements.txt

```

## Usage

```sh

streamlit run app.py

```

![App Demo](examples/app_demo.gif)

---

## License

MIT License (See [LICENSE](LICENSE) file).

Maintained and developed by [João Pedro Vasconcelos](https://github.com/jpvt), [Bruno Barufaldi](https://github.com/bbarufaldi), and PennXPL (https://github.com/pennXPL).