Tennis (Work in progress)
Code supporting the paper: "TenniSet: A Dataset for Dense Fine-Grained Event Recognition, Localisation and Description"
PLEASE NOTE: The results in the paper were with outdated Keras models, new results will be presented below in this readme.
See data for download and organisation information.
Once you have
.json annotation files with the annotator, you can run:
This does pre-processing on the annotations, specifically:
- Generates slice
.txtfiles for each
- Generalises the
.jsonannotation files from player names and forehand/backhand to near/far and left/right
- Generates label
.txtfiles for each generalised
Alternatively you can download our annotations
Coming Soon - More information on the models can be found in the README in the models directory.