Model

Pre-trained OpenGlottal checkpoint: og_bagls_yolo.pt.

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

How to use

Download the weight and run OpenGlottal YOLO-gated pipelines.

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

Run vft or guided-vft:

openglottal run /path/to/video.avi \
  --pipeline vft \
  --yolo-weights "$yolo_path" \
  --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}
}
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