Hi!
I’m trying to use fastai 1.0 to do semantic segmentation on pascal voc 2012 dataset. Actually the code is borrowed from the code https://nbviewer.jupyter.org/github/fastai/course-v3/blob/master/nbs/dl1/lesson3-camvid.ipynb
However, I don’t know how to define the classes. My code is like this:
classes = ['background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', 'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']
src = (SegmentationItemList.from_df(all_seg, path=path_img)
.split_by_idx(val_idxes)
.label_from_func(get_y_fn, classes=classes)
)
When running, I got RuntimeError: CUDA error: device-side assert triggered. Generally, this error means there is something wrong in classes. I tried to remove ‘background’ but no luck.
Any suggestion? Thanks in advance!
