hari-krishnan-u/og_bagls_unet_crop

Model

Pre-trained OpenGlottal checkpoint: og_bagls_unet_crop.pt.

This model is part of the OpenGlottal toolkit: https://github.com/hari-krishnan/openglottal

How to use

Download the U-Net weight and run displacement extraction.

from huggingface_hub import hf_hub_download
unet_path = hf_hub_download(repo_id="hari-krishnan-u/og_bagls_unet_crop", filename="og_bagls_unet_crop.pt")

Run displacement (LR mode):

openglottal displacement /path/to/video.avi \
  --unet-weights "$unet_path" \
  --start 0 --end 500 \
  --mode lr \
  --lr-position 0.5 \
  --output results/

Citation

If you use this model, please cite:

@misc{unnikrishnan2026openglottal,
  title         = {A Detection-Gated Pipeline for Robust Glottal Area
                   Waveform Extraction and Clinical Pathology Assessment},
  author        = {Unnikrishnan, Harikrishnan},
  year          = {2026},
  eprint        = {2603.02087},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url           = {https://arxiv.org/abs/2603.02087}
}