Image processing tool
Find a file
2023-04-21 14:38:57 +03:00
imgs/examples doc: more examples 2023-04-21 14:24:41 +03:00
methods perf: auto generated list of methods 2023-04-21 14:25:22 +03:00
processing fix: tqdm for bulk 2023-04-18 13:21:35 +03:00
scripts fix: requirements 2023-04-18 13:29:43 +03:00
tabs perf: auto generated list of methods 2023-04-21 14:25:22 +03:00
.gitattributes Initial commit 2023-04-15 11:44:24 +03:00
.gitignore feat: some not working tabs 2023-04-15 19:36:31 +03:00
app.py feat: images to video 2023-04-16 09:55:33 +03:00
LICENSE doc: new features 2023-04-21 14:38:57 +03:00
README.md doc: new features 2023-04-21 14:38:57 +03:00
requirements.txt fix: requirements 2023-04-18 13:29:43 +03:00

Image-Pluser WebUI Application

Image-Pluser is a Web User Interface (WebUI) application that allows users to process photos and videos in a variety of ways.

Getting Started

To run Image-Pluser, follow these steps:

  1. Install ffmpeg (only for vid2imgs and imgs2vid)
  2. Clone the repository: git clone https://github.com/artegoser/image-pluser-webui.git
  3. Create venv: python -m venv venv
  4. Install the necessary dependencies: pip install -r requirements.txt
  5. Run the application: python app.py
  6. Access the application by visiting http://localhost:7860/ in your web browser.

one-click-installers

Just download and run the file in scripts/one-click (you need git, ffmpeg and python3).

Available Stacking Methods

  1. Denoising: Removes noise from the image (pictures should not move)
  2. StarTracks: Creates star tracks (the pictures should show the sky, which gradually moves)
  3. Untrack: Removes stars from the sky (pictures should not move)
  4. Noise extractor: Gets all the noise in the image (actually makes nonsense)

Available Bulk Methods

  1. Edge detection
  2. Canny edge detection
  3. Sharpen

Other features

  1. Imgs to video
  2. Video to images

Examples

Denoise denoise denoise2

StarTracks startracks

Ui ui

Contributing

Contributions to Image-Pluser are welcome! If you would like to contribute, please fork the repository and submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.