when I train the network with PRE_ORI : 'True' everything looks fine. I tried training the model with PRE_ORI : 'False'. However, during trainig where I save the initial predictions during epochs I observe that initial predictions have some kind of white layer on them. Do you have an idea of why it could be so ? Should it be like that or is something wrong? How can I address the problem ? Any help and feedback is really appreciated.
You can see the attached image for better illustration of the problem. The results are from a batch of images. Left picture is ground truth, middle picture is initial prediction and right picture is (ground truth - inital prediction).
when I train the network with PRE_ORI : 'True' everything looks fine. I tried training the model with PRE_ORI : 'False'. However, during trainig where I save the initial predictions during epochs I observe that initial predictions have some kind of white layer on them. Do you have an idea of why it could be so ? Should it be like that or is something wrong? How can I address the problem ? Any help and feedback is really appreciated.
You can see the attached image for better illustration of the problem. The results are from a batch of images. Left picture is ground truth, middle picture is initial prediction and right picture is (ground truth - inital prediction).