https://github.com/tom-doerr/point_e_streamlit
https://github.com/tom-doerr/point_e_streamlit
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/tom-doerr/point_e_streamlit
- Owner: tom-doerr
- Created: 2022-12-21T01:34:18.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-21T01:42:50.000Z (over 3 years ago)
- Last Synced: 2026-02-14T08:49:28.412Z (4 months ago)
- Language: Python
- Size: 2.93 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Point E
This is a Streamlit application that generates 3D point clouds based on a text prompt. The application utilizes two trained models, a base model and an upsample model, to generate the point clouds. The base model generates a low resolution point cloud and the upsample model refines it to a higher resolution.
## How to Use
To use the application, simply enter a text prompt in the designated input field and click the 'Generate' button. The application will then generate a 3D point cloud based on the prompt and display it in the browser.
## Dependencies
The following libraries are required to run the application:
- Streamlit
- PyTorch
- tqdm
## Local Development
To run the application locally, clone the repository and install the required dependencies. Then, run the following command in the root directory:
```
streamlit run streamlit_app.py
```
This will start the application and open it in your default web browser.
## Credit
The models used in this application were trained by OpenAI and can be found [here](https://github.com/openai/point-e).