Links:
main repository,
2021 paper and
CVPR2019 paper.
Live demo: https://vitademo.epfl.ch
Serverless live demo: https://openpifpaf.github.io/openpifpafwebdemo/
Run the full pipeline (neural network and decoder) in Python and visualize the output in the browser:
pip3 install openpifpafwebdemo
python3 -m openpifpafwebdemo.server
Troubleshooting: Make sure you are using Python3 and have the latest pip and
setuptools with pip install --upgrade pip setuptools
. Do not clone this
repository. Make sure there is no folder named openpifpafwebdemo
in your
current directory.
Example:
For every release, this repository builds a new docker image and uploads it to Docker Hub: svenkreiss/openpifpafwebdemo. You can test it with:
docker run -d -p 5000:80 svenkreiss/openpifpafwebdemo
This docker images also powers https://vitademo.epfl.ch. More info on building the docker image and how to deploy it to Kubernetes is in docker/readme.md.
Example using cURL:
curl --data-binary @docs/me_nyc_square_500.jpeg http://localhost:5000/v1/human-poses
which produces:
[{"coordinates": [[0.588631883263588, 0.41628291457891464, 3.5567557387194797], [0.621234196703881, 0.36160339042544365, 3.524825929280572], [0.546875, 0.375, 3.744302039019678], [0.6724068783223629, 0.44710323959589005, 3.459401266884038], [0.494683139026165, 0.4611567258834839, 3.5954212359489217], [0.78733691573143, 0.8311769068241119, 2.1321910543190827], [0.3859005756676197, 0.8252473473548889, 2.158424186304439], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]], "score": 0.26909651332876167}]
Keep-alive connection test:
curl -v --data-binary @docs/me_nyc_square_500.jpeg http://localhost:5000/v1/human-poses --next --data-binary @docs/me_nyc_square_500.jpeg http://localhost:5000/v1/human-poses 2>&1 | grep '#0'
* Connected to localhost (127.0.0.1) port 5000 (#0)
* Connection #0 to host localhost left intact
* Re-using existing connection! (#0) with host localhost
* Connected to localhost (127.0.0.1) port 5000 (#0)
* Connection #0 to host localhost left intact
To install from source and set up for development use
pip install --editable ".[test]"
, install the frontend dependencies with
npm install
and then create the frontend JavaScript code with npm run build
. For continuous rebuilds of the js package, use npm run watch
.
Run the server process with --debug
to get salted version numbers to break
the browser cache for static assets and autoreload when source files change.
@article{kreiss2021openpifpaf,
title = {{OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association}},
author = {Sven Kreiss and Lorenzo Bertoni and Alexandre Alahi},
journal = {arXiv preprint arXiv:2103.02440},
month = {March},
year = {2021}
}
@InProceedings{kreiss2019pifpaf,
author = {Kreiss, Sven and Bertoni, Lorenzo and Alahi, Alexandre},
title = {PifPaf: Composite Fields for Human Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}