Closed AmberCheng closed 2 years ago
The size of images in DUTs dataset is not the same. You need to resize all images to have the same shape to use bigger batch size.
The size of images in DUTs dataset is not the same. You need to resize all images to have the same shape to use bigger batch size. Thank you very much!!!! By the way, when I try my own dataset, I find it hard to define my model is getting better. Do you have any experienced loss range about this model?
Indeed it's hard to tell if the model is better when using this training code. I follow the previous work and use their training scheme to train the model with no adjustment. I suggest you to use the testing MAE to eval the model performance as it is quick to test.
Indeed it's hard to tell if the model is better when using this training code. I follow the previous work and use their training scheme to train the model with no adjustment. I suggest you to use the testing MAE to eval the model performance as it is quick to test.
@gasvn Thanks for your kind reply. I wonder will bn work when the batch size equals 1?
Indeed it's hard to tell if the model is better when using this training code. I follow the previous work and use their training scheme to train the model with no adjustment. I suggest you to use the testing MAE to eval the model performance as it is quick to test.
@gasvn Thanks for your kind reply. I wonder will bn work when the batch size equals 1?
The bn is not working well when bs=1, so we follow most SOD methods to change the bn into eval mode.
Hi, thanks for your wonderful work! I met a size not match error when I try a bigger batch size. However, when I used my own dataset, it works. Do I ignore something about the DUTs dataset?