medicapture/seg-model 🖼️ → 🖼️

▶️ 312 runs 📅 Sep 2023 ⚙️ Cog 0.8.6 📄 Paper
image-segmentation medical-imaging x-ray

About

Hip segmentation from the X-ray image

Example Output

Output

Example output

Performance Metrics

1.76s Prediction Time
55.27s Total Time
Input Parameters
image (required) Type: string
Upload your hip image
Output Schema

Output

Type: string • Format: uri

Example Execution Logs 
/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).
warnings.warn(
end of inference
Version Details
Version ID
d51c0e7cb948983e4f1a74c1a0467e0a6805e797fb2e4055eabba2cca4b71a6b
Version Created
September 28, 2023
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