Traceback (most recent call last):
File "/root/autodl-tmp/Body/Yolov8_obb/train.py", line 648, in
main(opt)
File "/root/autodl-tmp/Body/Yolov8_obb/train.py", line 545, in main
train(opt.hyp, opt, device, callbacks)
File "/root/autodl-tmp/Body/Yolov8_obb/train.py", line 222, in train
train_loader, dataset = create_dataloader(train_path, imgsz, batch_size // WORLD_SIZE, gs, names, single_cls,
File "/root/autodl-tmp/Body/Yolov8_obb/utils/datasets.py", line 101, in create_dataloader
dataset = LoadImagesAndLabels(path, names, imgsz, batch_size,
File "/root/autodl-tmp/Body/Yolov8_obb/utils/datasets.py", line 442, in init
assert nf > 0 or not augment, f'{prefix}No labels in {cache_path}. Can not train without labels. See {HELP_URL}'
AssertionError: train: No labels in /root/autodl-tmp/Body/datasets/train.cache. Can not train without labels. See https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data
Traceback (most recent call last): File "/root/autodl-tmp/Body/Yolov8_obb/train.py", line 648, in
main(opt)
File "/root/autodl-tmp/Body/Yolov8_obb/train.py", line 545, in main
train(opt.hyp, opt, device, callbacks)
File "/root/autodl-tmp/Body/Yolov8_obb/train.py", line 222, in train
train_loader, dataset = create_dataloader(train_path, imgsz, batch_size // WORLD_SIZE, gs, names, single_cls,
File "/root/autodl-tmp/Body/Yolov8_obb/utils/datasets.py", line 101, in create_dataloader
dataset = LoadImagesAndLabels(path, names, imgsz, batch_size,
File "/root/autodl-tmp/Body/Yolov8_obb/utils/datasets.py", line 442, in init
assert nf > 0 or not augment, f'{prefix}No labels in {cache_path}. Can not train without labels. See {HELP_URL}'
AssertionError: train: No labels in /root/autodl-tmp/Body/datasets/train.cache. Can not train without labels. See https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data