Since Pytorch’s pretrained imagenet models are finetuned for RGB images, is it possible to work around them with grayscale images?
One possible solution is repeating grayscale image over three channels or convert them to RGB to work with existing situation.
Is it possible to some how take the mean of the three channels weight and tweak resnet to accept the mean weights and train using grayscale images ?
Any working example would be great.
Thanks in advance.