cyt@TT:~/ultralytics-main$ python3 mytrain.py
Ultralytics 8.3.205 🚀 Python-3.10.12 torch-2.8.0+cu128 CUDA:0 (NVIDIA GeForce RTX 4060 Laptop GPU, 7915MiB)
engine/trainer: agnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=-1, bgr=0.0, box=7.5, cache=ram, 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=/home/cyt/ultralytics-main/ultralytics/cfg/datasets/elderly.yaml, degrees=0.0, deterministic=True, device=None, 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=/home/cyt/ultralytics-main/yolo11n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=myresult2, 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=results, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/home/cyt/ultralytics-main/results/myresult2, 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=1, workspace=None
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.6 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last): File "/home/cyt/ultralytics-main/mytrain.py", line 5, in <module>
model.train(
File "/home/cyt/ultralytics-main/ultralytics/engine/model.py", line 795, in train
self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks)
File "/home/cyt/ultralytics-main/ultralytics/models/yolo/detect/train.py", line 65, in __init__
super().__init__(cfg, overrides, _callbacks)
File "/home/cyt/ultralytics-main/ultralytics/engine/trainer.py", line 158, in __init__
self.data = self.get_dataset()
File "/home/cyt/ultralytics-main/ultralytics/engine/trainer.py", line 634, in get_dataset
data = check_det_dataset(self.args.data)
File "/home/cyt/ultralytics-main/ultralytics/data/utils.py", line 480, in check_det_dataset
check_font("Arial.ttf" if is_ascii(data["names"]) else "Arial.Unicode.ttf") # download fonts
File "/home/cyt/ultralytics-main/ultralytics/utils/__init__.py", line 500, in decorated
return f(*args, **kwargs)
File "/home/cyt/ultralytics-main/ultralytics/utils/checks.py", line 325, in check_font
from matplotlib import font_manager # scope for faster 'import ultralytics'
File "/usr/lib/python3/dist-packages/matplotlib/__init__.py", line 109, in <module>
from . import _api, _version, cbook, docstring, rcsetup
File "/usr/lib/python3/dist-packages/matplotlib/rcsetup.py", line 27, in <module>
from matplotlib.colors import Colormap, is_color_like
File "/usr/lib/python3/dist-packages/matplotlib/colors.py", line 56, in <module>
from matplotlib import _api, cbook, scale
File "/usr/lib/python3/dist-packages/matplotlib/scale.py", line 23, in <module>
from matplotlib.ticker import (
File "/usr/lib/python3/dist-packages/matplotlib/ticker.py", line 136, in <module>
from matplotlib import transforms as mtransforms
File "/usr/lib/python3/dist-packages/matplotlib/transforms.py", line 46, in <module>
from matplotlib._path import (
AttributeError: _ARRAY_API not found
Traceback (most recent call last):
File "/home/cyt/ultralytics-main/ultralytics/engine/trainer.py", line 634, in get_dataset
data = check_det_dataset(self.args.data)
File "/home/cyt/ultralytics-main/ultralytics/data/utils.py", line 480, in check_det_dataset
check_font("Arial.ttf" if is_ascii(data["names"]) else "Arial.Unicode.ttf") # download fonts
File "/home/cyt/ultralytics-main/ultralytics/utils/__init__.py", line 500, in decorated
return f(*args, **kwargs)
File "/home/cyt/ultralytics-main/ultralytics/utils/checks.py", line 325, in check_font
from matplotlib import font_manager # scope for faster 'import ultralytics'
File "/usr/lib/python3/dist-packages/matplotlib/__init__.py", line 109, in <module>
from . import _api, _version, cbook, docstring, rcsetup
File "/usr/lib/python3/dist-packages/matplotlib/rcsetup.py", line 27, in <module>
from matplotlib.colors import Colormap, is_color_like
File "/usr/lib/python3/dist-packages/matplotlib/colors.py", line 56, in <module>
from matplotlib import _api, cbook, scale
File "/usr/lib/python3/dist-packages/matplotlib/scale.py", line 23, in <module>
from matplotlib.ticker import (
File "/usr/lib/python3/dist-packages/matplotlib/ticker.py", line 136, in <module>
from matplotlib import transforms as mtransforms
File "/usr/lib/python3/dist-packages/matplotlib/transforms.py", line 46, in <module>
from matplotlib._path import (
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/cyt/ultralytics-main/mytrain.py", line 5, in <module>
model.train(
File "/home/cyt/ultralytics-main/ultralytics/engine/model.py", line 795, in train
self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks)
File "/home/cyt/ultralytics-main/ultralytics/models/yolo/detect/train.py", line 65, in __init__
super().__init__(cfg, overrides, _callbacks)
File "/home/cyt/ultralytics-main/ultralytics/engine/trainer.py", line 158, in __init__
self.data = self.get_dataset()
File "/home/cyt/ultralytics-main/ultralytics/engine/trainer.py", line 638, in get_dataset
raise RuntimeError(emojis(f"Dataset '{clean_url(self.args.data)}' error ❌ {e}")) from e
RuntimeError: Dataset '/home/cyt/ultralytics-main/ultralytics/cfg/datasets/elderly.yaml' error ❌ numpy.core.multiarray failed to import
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本文详细解析了Zabbix配置中加入mpm模块导致的错误问题，并提供了有效的解决方案，包括避免不必要的配置项、调整配置以防止数据发送失败等步骤。最终，通过更换监控工具，成功解决了数据发送失败的问题。
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