Image Segmentation
ultralytics
instance-segmentation
yolo
cell-biology
microscopy
wound-healing-assay
Instructions to use nmariotto/scratch-assay-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use nmariotto/scratch-assay-segmentation with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("nmariotto/scratch-assay-segmentation", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download S.pt from nmariotto/scratch-assay-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 20.5 MB
-
https://huggingface.co/nmariotto/scratch-assay-segmentation/resolve/main/S.pt
- Command line
-
hf download hf://nmariotto/scratch-assay-segmentation/S.pt
-
curl -L -o S.pt https://huggingface.co/nmariotto/scratch-assay-segmentation/resolve/main/S.pt
20.5 MB
- Xet hash:
- 610a53771a38a5cb2b7fb42167e2776d80f8735f98ba68c5b73134fec74dd783
- Size of remote file:
- 20.5 MB
- SHA256:
- b9c07b5989be46e597e8ffef954bd5506a152ad7dea73cacf01c2f0ccae16936
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