Transferred 499/499 items from pretrained weights
Ultralytics 8.3.152 🚀 Python-3.8.10 torch-2.0.0+cu118 CUDA:0 (NVIDIA GeForce RTX 4090, 24092MiB)
engine/trainer: agnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=16, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/root/autodl-tmp/PythonProject41/data/data.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=100, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=ultralytics/cfg/models/11/yolo11n.yaml, momentum=0.937, mosaic=1.0, multi_scale=False, name=train7, nbs=64, nms=False, opset=None, optimize=False, optimizer=SGD, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=yolo11n.pt, profile=False, project=None, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=runs/detect/train7, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None
Traceback (most recent call last):
File "/root/miniconda3/lib/python3.8/site-packages/ultralytics/engine/trainer.py", line 607, in get_dataset
data = check_det_dataset(self.args.data)
File "/root/miniconda3/lib/python3.8/site-packages/ultralytics/data/utils.py", line 463, in check_det_dataset
raise FileNotFoundError(m)
FileNotFoundError: Dataset '/root/autodl-tmp/PythonProject41/data/data.yaml' images not found, missing path '/root/autodl-tmp/PythonProject41/data/D:\Users\XXXXXXXXX\datasets\images\val'
Note dataset download directory is '/root/autodl-tmp/PythonProject41/datasets'. You can update this in '/root/.config/Ultralytics/settings.json'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "train.py", line 7, in <module>
results = model.train(
File "/root/miniconda3/lib/python3.8/site-packages/ultralytics/engine/model.py", line 791, in train
self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks)
File "/root/miniconda3/lib/python3.8/site-packages/ultralytics/engine/trainer.py", line 153, in __init__
self.data = self.get_dataset()
File "/root/miniconda3/lib/python3.8/site-packages/ultralytics/engine/trainer.py", line 611, in get_dataset
raise RuntimeError(emojis(f"Dataset '{clean_url(self.args.data)}' error ❌ {e}")) from e
RuntimeError: Dataset '/root/autodl-tmp/PythonProject41/data/data.yaml' error ❌ Dataset '/root/autodl-tmp/PythonProject41/data/data.yaml' images not found, missing path '/root/autodl-tmp/PythonProject41/data/D:\Users\XXXXXXXXX\datasets\images\val'
Note dataset download directory is '/root/autodl-tmp/PythonProject41/datasets'. You can update this in '/root/.config/Ultralytics/settings.json'
这是什么报错?