YoloV8离谱报错
Traceback (most recent call last:
File "/usr/local/bin/yolo", line 8, in <module>
sys.exit(entrypoint(
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/cfg/__init__.py", line 391, in entrypoint
getattr(model, mode(**overrides # default args from model
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/engine/model.py", line 371, in train
self.trainer.train(
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/engine/trainer.py", line 191, in train
self._do_train(world_size
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/engine/trainer.py", line 362, in _do_train
self.metrics, self.fitness = self.validate(
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/engine/trainer.py", line 462, in validate
metrics = self.validator(self
File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/engine/validator.py", line 169, in __call__
self.update_metrics(preds, batch
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/v8/detect/val.py", line 107, in update_metrics
correct_bboxes = self._process_batch(predn, labelsn
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/v8/detect/val.py", line 158, in _process_batch
iou = box_iou(labels[:, 1:], detections[:, :4]
File "/usr/local/lib/python3.8/dist-packages/ultralytics/yolo/utils/metrics.py", line 70, in box_iou
inter = (torch.min(a2, b2 - torch.max(a1, b1.clamp(0.prod(2
RuntimeError:
自己把服务器重置，重新配了好几遍，结果都是运行一个epoch就报错，如下：
说一下我的解决思路：
2.接下来我怀疑的是数据问题，因为这个数据集，很奇怪（*）.jpg吗，在训练的时候有警告，我就想是不是数据的问题，我找来我万能的人脸口罩数据集（V5 V8之前跑成功过），这个数据集很小，导入，跑一下，结果还是一个epoch就报错，此时排除数据的问题。
我不知道这是不是，这个问题的真正解决，但对我来说确实是目前的最优解，芜湖起飞（还没吃完饭，今晚点烧烤）！