Post by tejank10 » Mon Nov 25, 2019, 07:34
Hi Sergey,
First of all, thanks a tonne for making DGM! It makes life a lot easier with its abstractions to work with CRFs.
I am working with Efficient Inference in fully connected CRFs with gaussian edge potentialspaper. I plan to train a model on a set of images and then test it. From the tutorials, it was clear to me how to go about it when I am having only one image to train on. Could please point me what should I look up in order to implement training over multiple image and then test?
Thanks and best regards,
Tejan Karmali
Hi Sergey,
First of all, thanks a tonne for making DGM! It makes life a lot easier with its abstractions to work with CRFs.
I am working with Efficient Inference in fully connected CRFs with gaussian edge potentialspaper. I plan to train a model on a set of images and then test it. From the tutorials, it was clear to me how to go about it when I am having only one image to train on. Could please point me what should I look up in order to implement training over multiple image and then test?
Thanks and best regards,
Tejan Karmali