Metadata-Version: 2.1
Name: get-eyedata
Version: 1.3.2
Summary: gat gaze data form record.
Home-page: https://github.com/ikrfun/get_eyedata
Download-URL: https://github.com/ikrfun/get_eyedata
Author: ikrfun
Author-email: t.nobuto130625@gmail.com
Maintainer: ikrfun
Maintainer-email: t.nobuto130625@gmail.com
License: MIT
Keywords: gaze game
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.10
Description-Content-Type: text/markdown
License-File: LICENCE
Requires-Dist: matplotlib (>=3.7.1)
Requires-Dist: moviepy (>=1.0.3)
Requires-Dist: numpy (>=1.24.3)
Requires-Dist: opencv-contrib-python (>=4.6.0.66)
Requires-Dist: opencv-python (>=4.7.0.72)
Requires-Dist: opencv-python-headless (>=4.7.0.72)
Requires-Dist: pandas (>=2.0.2)
Requires-Dist: setuptools (>=67.8.0)
Requires-Dist: tqdm (>=4.65.0)
Requires-Dist: utils (>=1.0.1)

# Get-eyedata

this library is an application that allows you to track objects in a video file and save the tracking data to pandas dataframe 

## Installation
---
you can use pip to install get-eyedata.
```bash
pip install get-eyedata
```

---

## Usage

### Preparing Recorded Data

you need video file which is recorded by OBS with original setting

show details ->　https://github.com/ikrfun/get_eyedata/wiki/usage-en

get OBS -> https://obsproject.com/ja/download

---

### When creating a dataset of actual facial images and their corresponding gaze coordinates 

To use mekeing eye dataset, run the following command in your terminal

```python
from get_eyedata import valo

# valo_df is pandas dataframe
valo_df = valo.make_dataset('{video-file-path}')
# save as csv
valo_df.to_csv('out-csv-path')
```
---
## License

This project is licensed under the MIT License. See the `LICENSE` file for more information.
