While using facexlib in Real-ESRGAN for face enhance warnings occurs about torchvision versions

[Ishfak00]

1.1 While using facexlib in Real-ESRGAN for face enhance warnings occurs about torchvision versionss as below:

########################################################################################
**/root/miniconda3/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be
removed in the future, please use 'weights' instead.
warnings.warn(

/root/miniconda3/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or None for 'weights' are
deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing weights=None.

warnings.warn(msg)**_
########################################################################################

1. 2
   Though there is working code examples are given in pytorch.org website, it is quiet puzzling where to set these codes.
   After searching and some tryouts I have changed file in here:
   /root/miniconda3/lib/python3.11/site-packages/facexlib/detection/retinaface.py
   and my new codes were as below:

 elif cfg['name'] == 'Resnet50':
            # import torchvision.models as models
            # backbone = models.resnet50(pretrained=False)
            from torchvision.models import resnet50, ResNet50_Weights
            models = resnet50(weights=ResNet50_Weights.IMAGENET1K_V2)
            backbone = models
             self.body = IntermediateLayerGetter(backbone, cfg['return_layers'])

Of course, commenting out old three line of codes. And it worked fine with no error or warning! 👍

1. 3
   You should have give a thought to change the facexlib in here as soon pytorch will deprecate the old method.
   https://pypi.org/project/facexlib/#description