Skip to content

sudochris/squashfeettoolkit

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

logo version pythonverion

Feet Analysis Toolkit

This application provides a toolkit and scripts used in "Evaluation of pre-trained and open-source deep convolutional neural networks suitable for player detection and motion analysis in squash".

Getting started (Linux):

Setup application

  1. Create virtual environment

    python3 -m venv /path/to/new/virtual/environment

  2. Activate the environment

    source /path/to/new/virtual/environment/bin/activate

  3. Install requirements from requirements.txt

    pip install -r requirements.txt

Setup data folder

  1. Create a softlink for the dataset folder

    ln -s ~/Projects/released-datasets/ ./dataset

  2. Create a clean output folder for results.

    mkdir output

Run

  1. Run the application inside your virtual environment and provide dataset description file and your output folder

    python run_toolkit.py --description=<DATASET_FOLDER>/dataset_description.json --output=./output

Other useful parameters (optional)

Parameter Description
--debug Prints debugging log output during evaluation
--render Enables rendering while processing (very slow)

Citation

Please cite in your publications if it helps your research:

@Article{Brumann2021,
    AUTHOR         = {Brumann, Christopher and Kukuk, Markus and Reinsberger, Claus},
    TITLE          = {Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash},
    JOURNAL        = {Sensors},
    VOLUME         = {21},
    YEAR           = {2021},
    NUMBER         = {13},
    ARTICLE-NUMBER = {4550},
    URL            = {https://www.mdpi.com/1424-8220/21/13/4550},
    ISSN           = {1424-8220},
    DOI            = {10.3390/s21134550}
}

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

About

Toolkit to evaluate the squash feet dataset

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages