smp-hub/se_resnext50_32x4d.imagenet

libraryname: segmentation-models-pytorch license: other pipelinetag: image-classification tags:

• —segmentation-models-pytorch
• —image-classification
• —pytorch
• —se_resnext languages:
• —python ---

Model card for seresnext5032x4d.

This repository contains the imagenet pre-trained weights for the se_resnext50_32x4d model used as encoder in the segmentation-models-pytorch library.

Example usage:

1. 1.Install the library:

pip install segmentation-models-pytorch

1. 1.Use the encoder in your code:

import segmentation_models_pytorch as smp

model = smp.Unet("se_resnext50_32x4d", encoder_weights="imagenet")

References

• —Github: https://github.com/qubvel/segmentation_models.pytorch
• —Docs: https://smp.readthedocs.io/en/latest/
• —Original weights URL: http://data.lip6.fr/cadene/pretrainedmodels/seresnext5032x4d-a260b3a4.pth