semvec/pypi-packages huggingface dataset:
GazeParser 0.12.3
Gaze tracking, parsing and visualization tools
Requires Python: >=3.8

# GazeParser

Please read `<http://gazeparser.sourceforge.net/ins/index.html>`_ for detail.

## For Windows users

* Install following file or use pip.
    - GazeParser-0.12.2/GazeParser-0.12.2.zip

* GazeParser supports gaze data recorded by SimpleGazeTracker.  To install SimpleGazeTracker, downlowad the appropriate installer for your camera from the list below.

    - SimpleGazeTracker-0.12.0/SimpleGazeTracker-0.12.0-OptiTrack-2.2.0.msi
    - SimpleGazeTracker-0.12.0/SimpleGazeTracker-0.12.0-OpenCV-4.5.1.msi
    - SimpleGazeTracker-0.12.0/SimpleGazeTracker-0.12.0-FlyCapture2-2.13.61.msi
    - SimpleGazeTracker-0.12.0/SimpleGazeTracker-0.12.0-Spinnaker2-2.3.0.77.msi

  GazeParser includes webcam-based tracker.  This tracker is not as fast and accurate as SimpleGazeTracker, but it does not require IR light source and  restriction of head movement.  To use this tracker, following Python packages are required.

    - opencv-python 
    - dlib
    - tensorflow
    - psychopy

  


## For Linux users

* Install following file or use pip.  Debian .deb package is available.
    - GazeParser-0.12.0/GazeParser-0.12.0.zip
    - GazeParser-0.12.0/gazeparser_0.12.0_all.deb

* GazeParser supports gaze data recorded by SimpleGazeTracker.  SimpleGazeTracker is distributed as the source code or Debian .deb packages.
    - SimpleGazeTracker-0.12.0/SimpleGazeTracker-0.12.0.tar.gz
    - SimpleGazeTracker-0.12.0/simplegazetracker_0.12.0_amd64.deb
    - SimpleGazeTracker-0.12.0/simplegazetracker-flycap_0.12.0_amd64.deb
    - SimpleGazeTracker-0.12.0/simplegazetracker-spinnaker_0.12.0_amd64.deb

  GazeParser includes webcam-based tracker.  This tracker is not as fast and accurate as SimpleGazeTracker, but it does not require IR light source and  restriction of head movement.  To use this tracker, following Python packages are required.

    - opencv-python 
    - dlib
    - tensorflow
    - psychopy


## For MacOS users

* Install following file or use pip.
    - GazeParser-0.12.0/GazeParser-0.12.0.zip

* SimpleGazeTracker 0.11.0 or later does not officially support MacOS.  Please use Linux or Windows to run SimpleGazeTracker.  GazeParser's buit-in tracker is not tested on MacOS, but it will work.
fedops 1.1.30.6
FL Lifecycle Operations Management Platform

# FedOps: Federated Learning Lifecycle Operations Management Platform
  

<p align="center">
    <a href="http://ccljhub.gachon.ac.kr:40020/">FedOps</a> |
    <a href="https://join.slack.com/t/fedopshq/shared_invite/zt-1xvo9pkm8-drLEdtOT1_vNbcXoxGmQ5A">Slack</a> |
    <a href="https://www.linkedin.com/company/89975476/admin/">LinkedIn</a> |
    <a href="https://sites.google.com/view/keylee/">CCL Site</a> |
    <a href="https://www.youtube.com/watch?v=9Ns0q4zHfLk/">Youtube</a>
    <br /><br />
</p>


[![GitHub license](https://img.shields.io/github/license/adap/flower)](https://github.com/gachon-CCLab/FedOps/blob/main/LICENSE)
[![Slack](https://img.shields.io/badge/Chat-Slack-red)](https://join.slack.com/t/fedopshq/shared_invite/zt-1xvo9pkm8-drLEdtOT1_vNbcXoxGmQ5A)


FedOps (`fedops`) is a platform that helps organizations effectively manage and coordinate their federated learning operations:

* **FLScalize**: It simplifies the application of data and models in a FL environment by leveraging Flower's Client and Server.

* **Manager**: The manager oversees and manages the real-time FL progress of both clients and server

* **CE/CS**: Contribution Evaluation and Client Selection processes based on their performance.

* **CI/CD/CFL**: the CI/CD/CFL system seamlessly integrates with a Code Repo, 
enabling code deployment to multiple clients and servers for continuous or periodic federated learning.


* **Monitoring**: The FL dashboard is available for monitoring and observing the lifecycle of FL clients and server


## FedOps Tutorial

FedOps has developed a web service to manage the lifecycle operations of federated learning on real devices.
* **Install FedOps Library**
```bash
$ pip install fedops
```
### Real Devices
* [Start FedOps Silo](https://github.com/gachon-CCLab/FedOps/tree/main/silo/examples/torch)
* [Start FedOps Mobile](https://github.com/gachon-CCLab/FedOps/tree/main/mobile/examples)

### Single Machine
* [Start FedOps Simualtion](https://github.com/gachon-CCLab/FedOps/tree/main/simulation/examples)



## Community

<a href="https://github.com/gachon-CCLab/FedOps/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=gachon-CCLab/FedOps" />
</a>

## Paper
<a href="https://ieeexplore.ieee.org/document/10122960">**FLScalize: Federated Learning Lifecycle Management**</a>

```bibtex
@article{Cognitive Computing Lab,
  title={FLScalize: Federated Learning Lifecycle Management},
  author={Semo Yang; Jihwan Moon; Jinsoo Kim; Kwangkee Lee; Kangyoon Lee}, 
  journal={IEEE Access},
  Page(s)={47212 - 47222}
  DOI={10.1109/ACCESS.2023.3275439}
  year={2023}
}
```


## Support
For any questions or issues, please contact the FedOps support team at <U>***gyom1204@gachon.ac.kr***</U>