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 M_v3.pt from nmariotto/scratch-assay-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 45.2 MB
-
https://huggingface.co/nmariotto/scratch-assay-segmentation/resolve/main/M_v3.pt
- Command line
-
hf download hf://nmariotto/scratch-assay-segmentation/M_v3.pt
-
curl -L -o M_v3.pt https://huggingface.co/nmariotto/scratch-assay-segmentation/resolve/main/M_v3.pt
45.2 MB
- Xet hash:
- af0b3f1aff13decb5b046b295146f39c24eb0acb0d6125c197057ee8ad0e5a8e
- Size of remote file:
- 45.2 MB
- SHA256:
- a06c86d56df6bb7674c1c95c6f8450da58ca09f3c238dc8cbf66397d49ecab1a
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