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Timozen authored Apr 19, 2024
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- **Support For High Temporal Videos**: The human blink is fast, and JeFaPaTo is designed to handle it. JeFaPaTo can process videos with any FPS but with an extraction optimized for 240 FPS.
- **Anywhere**: JeFaPaTo is a cross-platform tool that allows you to use it on Windows, Linux, and MacOS.

## Get Started
## Getting Started

Ready to dive into the world of precise facial feature extraction and analysis? Give JeFaPaTo a try and experience the power of this tool for yourself! Download the latest version of JeFaPaTo for your operating system from the [releases page](https://github.com/cvjena/JeFaPaTo/releases/tag/v1.0.0) or the following links:
Ready to dive into the world of precise facial feature extraction and analysis? Give JeFaPaTo a try and experience the power of this tool for yourself! Download the latest version of JeFaPaTo for your operating system from the [releases page](https://github.com/cvjena/JeFaPaTo/releases) or the following links:

- [Windows 11](https://github.com/cvjena/JeFaPaTo/releases/latest/download/JeFaPaTo_windows.exe)
- [Linux/Ubuntu 22.04](https://github.com/cvjena/JeFaPaTo/releases/latest//download/JeFaPaTo_linux)
- [MacOS Universal2 v13+](https://github.com/cvjena/JeFaPaTo/releases/latest/download/JeFaPaTo_universal2.dmg)
- [MacOS Intel v13+](https://github.com/cvjena/JeFaPaTo/releases/latest/download/JeFaPaTo_intel.dmg)
- [MacOS Intel v10.15+](https://github.com/cvjena/JeFaPaTo/releases/latest/download/JeFaPaTo_intel_v10.dmg)

If you want to install JeFaPaTo from source, please follow the instructions in the [installation guide](INSTALL.md).
## Tutorials

## How to use JeFaPaTo

### Facial Features

1. Start JeFaPaTo
2. Select the video file or drag and drop it into the indicated area
3. The face should be found automatically; if not, adjust the bounding box
4. Select the facial features you want to analyze in the sidebar
5. Press the play button to start the analysis

### Blinking Detection

1. Start JeFaPaTo
2. Select the feature "Blinking Detection" in the top bar
3. Drag and drop the `.csv` file containing the EAR-Score values into the indicated area
- you can also drag and drop the video file into the indicated area to jump to the corresponding frame
4. Press the `Extract Blinks` buttons to extract the blinks (in a future version, the settings are not needed anymore)
5. In the table, you now have the option to label the blinks
6. Press `Summarize` to get a summary of the blink behavior
7. Press `Export` to export the data in the appropriate format
If you want to know more about how to use `JeFaPaTo`, please refer to the [Wiki Pages](https://github.com/cvjena/JeFaPaTo/wiki).
There, you can find a custom installation guide and two tutorials, one for the facial feature extraction and another one for the eye blink extraction.
Additionally, we list specific background information on the usage of the tool.

## Citing JeFaPaTo

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