I have a lot of one channel images and wanted to make use of transfer learning. All the pretrained models that are available in torchvision expects 3 channel images, so for time being I have added padding of zeros to make 1 channel image,3 channel image but seems that it’s not helping as my loss isn’t going down. Is there any better way to deal with this ? I am using ResNet50 for this purpose.