# sam2-playground Gradio based Playground Web UI using [facebook/segment-anything-2](https://github.com/facebookresearch/segment-anything-2) models. ### Online Demos
Colab
## Feature - Add filters to segment parts of a video with pixelated or solid color
Pixelize the girl's face
- Divide segmentation parts into layers and save them as PSD files.
Divide clothes into layers and save as PSD file
Example_PSD
See PROMPT_GUIDE.md to see how to prompt the segmentation parts of the image. # Installation and Running ### Prerequisites To run this Web UI, you need these prerequisites. If you don't have them, please install them in the following links : - `git` : https://git-scm.com/downloads - `python=>3.10` : https://www.python.org/downloads/ - `FFmpeg` : https://ffmpeg.org/download.html After installing FFmpeg, **make sure to add the `FFmpeg/bin` folder to your system PATH!**
And for CUDA, if you're not using an Nvidia GPU and CUDA 12.4, edit the [requirements.txt](https://github.com/jhj0517/sam2-playground/blob/master/requirements.txt) to match your environment. ### Option 1 : Running with Shell / Batch Scripts There's a set of shell / batch scripts for installation and running. 1. Download `sam2-playground.zip` with the file corresponding to your OS from [sam2-playground-portable.zip]() and extract its contents. 2. Run `install.bat` or `install.sh` to install dependencies. (This will create a `venv` directory and install dependencies there.) 3. Start WebUI with `start-webui.bat` or `start-webui.sh` 4. To update, run `update.bat` or `update.sh` ### Option 2: Docker 1. Clone the repository ``` git clone https://github.com/jhj0517/sam2-playground.git ``` 3. Build the image ( Image is about ~6 GB ) ``` docker compose build ``` 3. Run the container ``` docker compose up ``` 3. Connect to `localhost:7860` with your browser. If needed, update [`docker-compose.yaml`](https://github.com/jhj0517/sam2-playground/blob/master/docker-compose.yaml) to match your environments. ## Todo 🗓 - [ ] Support `change()` API for `gradio_image_prompter` and automatically generate preview for video predictor