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smp-hub/
timm-skresnext50_32x4d.imagenet

Name: timm-skresnext50_32x4d.imagenet
Availability: InStock

segmentation-models-pytorch

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Model card for timm-skresnext50_32x4d.

This repository contains the imagenet pre-trained weights for the timm-skresnext50_32x4d model used as encoder in the segmentation-models-pytorch library.

Example usage:

Install the library:

pip install segmentation-models-pytorch

Use the encoder in your code:

python

import segmentation_models_pytorch as smp

model = smp.Unet("timm-skresnext50_32x4d", encoder_weights="imagenet")

References

Github: https://github.com/qubvel/segmentation_models.pytorch
Docs: https://smp.readthedocs.io/en/latest/
Original weights URL: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/skresnext50_ra-f40e40bf.pth

smp-hub/timm-skresnext50_32x4d.imagenet

Model card for timm-skresnext50_32x4d.

Example usage:

References

smp-hub/
timm-skresnext50_32x4d.imagenet