ksv87
commented
7 months ago make sure that the files are instances_train 2017.json and instances_val2017.json segmentation tags are set to [] (not int) or fix the code here: https://github.com/tinyvision/DAMO-YOLO/blob/319572eef367340267ab6ab8ae253527a71d7c3a/damo/dataset/datasets/coco.py#L92-L103
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[X] I have read the README carefully. 我已经仔细阅读了README上的操作指引。
[X] I want to train my custom dataset, and I have read the tutorials for finetune on your data carefully and organize my dataset correctly; 我想训练自定义数据集，我已经仔细阅读了训练自定义数据的教程，以及按照正确的目录结构存放数据集。
[X] I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码，重新运行之后，问题仍不能解决。
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[Bug]: TypeError: Caught TypeError in DataLoader worker process 0. Original Traceback (most recent call last): File "/data/Disk_B/minrui/anaconda3/envs/mmdetection/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop data = fetcher.fetch(index) File "/data/Disk_B/minrui/anaconda3/envs/mmdetection/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/data/Disk_B/minrui/anaconda3/envs/mmdetection/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/data/Disk_B/minrui/DAMO-YOLO-master/damo/dataset/datasets/mosaic_wrapper.py", line 226, in getitem img, labels, segments, img_id = self._dataset.pull_item(idx) File "/data/Disk_B/minrui/DAMO-YOLO-master/damo/dataset/datasets/coco.py", line 97, in pull_item obj_mask += mask TypeError: 'int' object is not iterable
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