- Vist this link and fill out the form to download the dataset
- Download images using the
image_fetcher.ps1
. - Manually clean up the images folder by removing wrongly downloaded ones.
- Run
clean_up_sets.ps1
to update the contents of the train/test splits. - Use train and test splits provided in the dataset.
Use pip
to install keras
, keras_applications
, sklearn
, Pillow
and tensorflow
.
Check models.py
for different existing models and modified hierarchical models. And modify train_yoga.py
accordingly.
Train model
python train_yoga.py
Verma, M., Kumawat, S., Nakashima, Y., & Raman, S. (2020). Yoga-82: a new dataset for fine-grained classification of human poses. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 1038-1039).