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hari-krishnan-u/og_girafe_yolo
og_girafe_yolo is a object detection model from hari-krishnan-u. Use it when you need objects located in an image. The card lists the license as mit.
Pre-trained OpenGlottal checkpoint: oggirafeyolo.pt.
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Updated Mar 19, 2026
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From the Hugging Face model README
Pre-trained OpenGlottal checkpoint: og_girafe_yolo.pt.
This model is part of the OpenGlottal toolkit: https://github.com/hari-krishnan/openglottal
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_girafe_yolo", filename="og_girafe_yolo.pt")
Run vft or guided-vft:
openglottal run /path/to/video.avi \
--pipeline vft \
--yolo-weights "$yolo_path" \
--output results/
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}
}