1.3.1

get_eyedata.ow2を追加し、ow2における画面上のUIの座標を定義しました。
これにより、ow2.makedataset()実行時に生成されるdfのROIカラムにはow2の正しい情報が記載されます。

1.2.0リリース

ユーザーエクスペリエンスの向上

first pypi release

first pypi release

First Release! get_eyedata v1.0

We are excited to announce the release of our new software, get_eyedata, which allows you to track objects in a video file and save the tracking data to a CSV file. With this application, you can easily analyze the movement of objects in your video and extract valuable insights from your data.

To get started with [Software Name], simply clone the repository to your local machine using the command "git clone https://github.com/ikrfun/get_eyedata.git" and install the required packages with "pip install -r requirements.txt".

If you are creating a dataset of actual facial images and their corresponding gaze coordinates, you can use the "make_eyedataset.py" script by running the command "python make_eyedataset.py -f ". Similarly, if you are creating a dataset consisting of Valorant screen data and corresponding gaze information, you can use the "make_valodataset.py" script by running the command "python make_valodataset.py -f ". The resulting dataset will be saved to the "data" directory.

This software is licensed under the MIT License. For more information, please refer to the LICENSE file.

We hope you find [Software Name] to be a useful tool in your video analysis work. If you have any questions or feedback, please feel free to reach out to us.