(yolov8) F:\yolov8\ultralytics-main\ultralytics\models\yolo\detect>yolo task=detect mode=train model=yolov8s.yaml data=datasets/peizhi.yaml epochs=100 batch=4
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
from n params module arguments
0 -1 1 928 ultralytics.nn.modules.conv.Conv [3, 32, 3, 2]
1 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2]
2 -1 1 29056 ultralytics.nn.modules.block.C2f [64, 64, 1, True]
3 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2]
4 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True]
5 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
6 -1 2 788480 ultralytics.nn.modules.block.C2f [256, 256, 2, True]
7 -1 1 1180672 ultralytics.nn.modules.conv.Conv [256, 512, 3, 2]
8 -1 1 1838080 ultralytics.nn.modules.block.C2f [512, 512, 1, True]
9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 5]
10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
12 -1 1 591360 ultralytics.nn.modules.block.C2f [768, 256, 1]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
15 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1]
16 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1]
19 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 1 1969152 ultralytics.nn.modules.block.C2f [768, 512, 1]
22 [15, 18, 21] 1 2147008 ultralytics.nn.modules.head.Detect [80, [128, 256, 512]]
YOLOv8s summary: 225 layers, 11166560 parameters, 11166544 gradients
New https://pypi.org/project/ultralytics/8.0.227 available Update with 'pip install -U ultralytics'
Ultralytics YOLOv8.0.147 Python-3.9.17 torch-2.0.0 CUDA:0 (NVIDIA GeForce RTX 3050 Laptop GPU, 4096MiB)
engine\trainer: task=detect, mode=train, model=yolov8s.yaml, data=datasets/peizhi.yaml, epochs=100, patience=50, batch=4, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=None, exist_ok=False, pretrained=True, optimizer=auto, 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, 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, show=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, vid_stride=1, line_width=None, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, boxes=True, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, 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, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, tracker=botsort.yaml, save_dir=runs\detect\train4
Overriding model.yaml nc=80 with nc=1
from n params module arguments
0 -1 1 928 ultralytics.nn.modules.conv.Conv [3, 32, 3, 2]
1 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2]
2 -1 1 29056 ultralytics.nn.modules.block.C2f [64, 64, 1, True]
3 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2]
4 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True]
5 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
6 -1 2 788480 ultralytics.nn.modules.block.C2f [256, 256, 2, True]
7 -1 1 1180672 ultralytics.nn.modules.conv.Conv [256, 512, 3, 2]
8 -1 1 1838080 ultralytics.nn.modules.block.C2f [512, 512, 1, True]
9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 5]
10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
12 -1 1 591360 ultralytics.nn.modules.block.C2f [768, 256, 1]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
15 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1]
16 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1]
19 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 1 1969152 ultralytics.nn.modules.block.C2f [768, 512, 1]
22 [15, 18, 21] 1 2116435 ultralytics.nn.modules.head.Detect [1, [128, 256, 512]]
YOLOv8s summary: 225 layers, 11135987 parameters, 11135971 gradients
AMP: running Automatic Mixed Precision (AMP) checks with YOLOv8n...
AMP: checks passed
train: Scanning datasets\labels... 2610 images, 3 backgrounds, 1 corrupt: 100%|██████████| 2611/2611 [00:04<00:00, 614.
train: WARNING datasets\images\0731zzb21(19).jpg: ignoring corrupt image/label: [Errno 2] No such file or directory: 'datasets\\images\\0731zzb21(19).jpg'
train: New cache created: datasets\labels.cache
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
val: Scanning datasets\labels... 291 images, 0 backgrounds, 0 corrupt: 100%|██████████| 291/291 [00:01<00:00, 147.06it/
val: New cache created: datasets\labels.cache
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll
D:\anaconda3\envs\yolov8\lib\site-packages\numpy\.libs\libopenblas64__v0.3.23-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov8\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov8\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
File "D:\anaconda3\envs\yolov8\lib\site-packages\torch\__init__.py", line 122, in <module>
raise err
OSError: [WinError 1455] 页面文件太小，无法完成操作。 Error loading "D:\anaconda3\envs\yolov8\lib\site-packages\torch\lib\nvfuser_codegen.dll" or one of its dependencies.
训练磕碰时遇到问题