WARNING ⚠️ no model scale passed. Assuming scale='n'.
New https://pypi.org/project/ultralytics/8.3.144 available 😃 Update with 'pip install -U ultralytics'
Ultralytics 8.3.18 🚀 Python-3.11.11 torch-2.7.0+cu126 CUDA:0 (NVIDIA GeForce RTX 4090, 24111MiB)
engine/trainer: task=detect, mode=train, model=ultralytics/cfg/models/11/yolo11-DCNv2.yaml, data=data/NEU-DET.yaml, epochs=100, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=0, workers=0, project=runs/train, name=exp, exist_ok=False, pretrained=True, optimizer=SGD, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=True, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, copy_paste_mode=flip, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/train/exp
Traceback (most recent call last):
File "/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/ultralytics/engine/trainer.py", line 557, in get_dataset
data = check_det_dataset(self.args.data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/ultralytics/data/utils.py", line 329, in check_det_dataset
raise FileNotFoundError(m)
FileNotFoundError:
Dataset 'data/NEU-DET.yaml' images not found ⚠️, missing path '/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/datasets/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/data/NEU-DET/val.txt'
Note dataset download directory is '/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/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 "/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/train.py", line 8, in <module>
model.train(data='data/NEU-DET.yaml',
File "/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/ultralytics/engine/model.py", line 796, in train
self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/ultralytics/engine/trainer.py", line 133, in __init__
self.trainset, self.testset = self.get_dataset()
^^^^^^^^^^^^^^^^^^
File "/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/ultralytics/engine/trainer.py", line 561, in get_dataset
raise RuntimeError(emojis(f"Dataset '{clean_url(self.args.data)}' error ❌ {e}")) from e
RuntimeError: Dataset 'data/NEU-DET.yaml' error ❌
Dataset 'data/NEU-DET.yaml' images not found ⚠️, missing path '/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/datasets/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/data/NEU-DET/val.txt'
Note dataset download directory is '/root/autodl-tmp/ultralytics-yolo11/ultralytics-yolo11/datasets'. You can update this in '/root/.config/Ultralytics/settings.json'
YOLO yaml与pt模型的区别
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