smp-hub/resnet50.swsl

Model card for resnet50.

This repository contains the swsl pre-trained weights for the resnet50 model used as encoder in the segmentation-models-pytorch library.

Example usage:

1. Install the library:

pip install segmentation-models-pytorch

2. Use the encoder in your code:

import segmentation_models_pytorch as smp

model = smp.Unet("resnet50", encoder_weights="swsl")

References

• Github: https://github.com/qubvel/segmentation_models.pytorch
• Docs: https://smp.readthedocs.io/en/latest/
• Original weights URL: https://dl.fbaipublicfiles.com/semiweaksupervision/model_files/semi_weakly_supervised_resnet50-16a12f1b.pth