Thank you for sharing your work. Very intuitive README and code structure is very well documented.
I ran some eval tests as mentioned in the README and they went well, I get the exact same IoU of 86.92 for eval_cityscapes.yml
Next, I tried train_cityscapes.yml. I needed to bump down the crop size to 512, 1024 because I was running out of memory, and that worked as well. Please comment if this reduction in crop_size could have an impact on IoU accuracy.
My main question, however, is when I try to train train_cityscapes_sota.yml it breaks while looking for this data folder. leftImg8bit_trainextra/leftImg8bit/train_extra
Could you please share what is this additional / extra data needed from cityscapes to train the sota run? Or was this just a different split that you tried from the original dataset?
Hello,
Thank you for sharing your work. Very intuitive README and code structure is very well documented.
I ran some eval tests as mentioned in the README and they went well, I get the exact same IoU of 86.92 for
eval_cityscapes.yml
Next, I tried
train_cityscapes.yml
. I needed to bump down the crop size to512, 1024
because I was running out of memory, and that worked as well. Please comment if this reduction incrop_size
could have an impact on IoU accuracy.My main question, however, is when I try to train
train_cityscapes_sota.yml
it breaks while looking for this data folder.leftImg8bit_trainextra/leftImg8bit/train_extra
Could you please share what is this additional / extra data needed from cityscapes to train the sota run? Or was this just a different split that you tried from the original dataset?