PS C:\源码\金柚项目\ultralytics-main> & C:/YOLOv8py38/python.exe c:/源码/金柚项目/ultralytics-main/ultralytics-main/yolo_train.py
c:/源码/金柚项目/ultralytics-main/ultralytics-main/yolo_train.py:5: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
model = torch.load('yolov8n.pt', map_location='cpu')
模型加载成功！
Ultralytics 8.3.217 Python-3.8.15 torch-2.4.1+cpu CPU (AMD Ryzen 7 7840HS with Radeon 780M Graphics)
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, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=C:///ultralytics-main/ultralytics-main/safehat.yaml, degrees=0.0, deterministic=True, device=cpu, 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=c:\\\ultralytics-main\ultralytics-main\yolov8n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=train9, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=None, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=C:\\\ultralytics-main\runs\detect\train9, 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 "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\engine\trainer.py", line 645, in get_dataset
data = check_det_dataset(self.args.data)
File "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\data\utils.py", line 481, in check_det_dataset
check_font("Arial.ttf" if is_ascii(data["names"]) else "Arial.Unicode.ttf") # download fonts
File "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\utils\__init__.py", line 500, in decorated
return f(*args, **kwargs)
File "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\utils\checks.py", line 326, in check_font
from matplotlib import font_manager # scope for faster 'import ultralytics'
ModuleNotFoundError: No module named 'matplotlib'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:/源码/金柚项目/ultralytics-main/ultralytics-main/yolo_train.py", line 19, in <module>
results = model.train(data="C:/源码/金柚项目/ultralytics-main/ultralytics-main/safehat.yaml", epochs=100, imgsz=640)
File "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\engine\model.py", line 795, in train
self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks)
File "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\models\yolo\detect\train.py", line 65, in __init__
super().__init__(cfg, overrides, _callbacks)
File "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\engine\trainer.py", line 158, in __init__
self.data = self.get_dataset()
File "c:\源码\金柚项目\ultralytics-main\ultralytics-main\ultralytics\engine\trainer.py", line 649, in get_dataset
raise RuntimeError(emojis(f"Dataset '{clean_url(self.args.data)}' error ❌ {e}")) from e
RuntimeError: Dataset 'C:////ultralytics-main/ultralytics-main/safehat.yaml' error No module named 'matplotlib'
最新发布
博客提及translate()和DirectGraphics存在问题，但作者忘记具体问题，后续会再进行撰写。
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