Caught IndexError in DataLoader worker process 0. & list index out of range

[akraylite]

Traceback (most recent call last): File "/content/yolov9/train.py", line 634, in main(opt) File "/content/yolov9/train.py", line 528, in main train(opt.hyp, opt, device, callbacks) File "/content/yolov9/train.py", line 277, in train for i, (imgs, targets, paths, _) in pbar: # batch ------------------------------------------------------------- File "/usr/local/lib/python3.10/dist-packages/tqdm/std.py", line 1181, in iter for obj in iterable: File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 631, in next data = self._next_data() File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1326, in _next_data return self._process_data(data) File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1372, in _process_data data.reraise() File "/usr/local/lib/python3.10/dist-packages/torch/_utils.py", line 722, in reraise raise exception IndexError: Caught IndexError in DataLoader worker process 0. Original Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop data = fetcher.fetch(index) File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 51, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/content/yolov9/utils/dataloaders.py", line 656, in getitem img, labels = self.load_mosaic(index) File "/content/yolov9/utils/dataloaders.py", line 791, in load_mosaic img4, labels4, segments4 = copy_paste(img4, labels4, segments4, p=self.hyp['copy_paste']) File "/content/yolov9/utils/augmentations.py", line 248, in copy_paste l, box, s = labels[j], boxes[j], segments[j] IndexError: list index out of range

im getting these two errors while trying to train my custom dataset using roboflow colab guide. I used the same steps in yolov8 but there were no issues

the training starts bit stops at the 1st epoch itself

[dsbyprateekg]

@akraylite Share your training command or change value of copy_paste parameter in hyp.scratch-high.yaml file to 0.0 and then try.

[akraylite]

@akraylite Share your training command or change value of copy_paste parameter in hyp.scratch-high.yaml file to 0.0 and then try.

%cd {HOME}/yolov9

!python train.py
--batch 16 --epochs 25 --img 640 --device 0 --min-items 0 --close-mosaic 15
--data {dataset.location}/data.yaml
--weights {HOME}/weights/gelan-c.pt
--cfg models/detect/gelan-c.yaml
--hyp hyp.scratch-high.yaml

[akraylite]

@akraylite Share your training command or change value of copy_paste parameter in hyp.scratch-high.yaml file to 0.0 and then try.

actually the change you suggested worked, thank you so much