Hello, thnak you for your great work
I am trying to make the training code.
So i started by making alpha loss, composition loss and regression loss, and i used radam optimizer
RAdam(group_weight(net, 1e-5, 1e-5, 0.0001)) as you mentionned.
To test the convegenve and evrithing is right in my code i took only 2 images with hair from adobe dataset and start training with these 2 images.
But it's seems the loss is not converging, however when using the classical adam optimizer i got convergence in few iterations.
the group_weight function seems dealing with parameters of the resnet encoder, i think i should use a pretrained resnet.
could you share the pretrained resnet you used and if possible the code to load it in matting module.
thanks in advance
Hello, thnak you for your great work
I am trying to make the training code.
So i started by making alpha loss, composition loss and regression loss, and i used radam optimizer
RAdam(group_weight(net, 1e-5, 1e-5, 0.0001)) as you mentionned.
To test the convegenve and evrithing is right in my code i took only 2 images with hair from adobe dataset and start training with these 2 images.
But it's seems the loss is not converging, however when using the classical adam optimizer i got convergence in few iterations.
the group_weight function seems dealing with parameters of the resnet encoder, i think i should use a pretrained resnet.
could you share the pretrained resnet you used and if possible the code to load it in matting module.
thanks in advance