I have also been working on applying the camvid lesson to binary segment classification - specifically trying to implement carvana with fastaiV1. I am getting the cuda runtime error (59) : device-side assert triggered error and believe I need to add a fix for mask opening.
Since the newer API instead of Segment Dataset believe we now use SegmentationItemList which does not accept set_attr( ...) or have div=True as an option.
would love a pointer as to how to appropriately set the maskopener in the new setup to account for binary masks of 0 and 255?
For reference my src/data at the moment:
src = (SegmentationItemList.from_folder(train_128_path, True)
.split_by_idx(valid_idx=range(4065,5087))
.label_from_func(get_y_fn, classes=codes))
data = (src.transform(get_transforms(), size=size, tfm_y=True)
.databunch(bs=bs)
.normalize(imagenet_stats))