yolov8只能训练txt格式不能使用jason格式吗

YOLOv8可以训练使用JSON格式的数据，但需要进行相应的数据预处理和格式转换。通常情况下，YOLOv8使用的是Darknet格式的数据，即以txt格式保存的标注信息。但是，如果您的数据集已经以JSON格式保存了标注信息，您可以编写脚本将其转换为Darknet格式或其他支持的格式，然后使用YOLOv8进行训练。

相关问题

Traceback (most recent call last): File "/Users/jason/Downloads/yolov5-5.0/detect.py", line 183, in <module> detect() File "/Users/jason/Downloads/yolov5-5.0/detect.py", line 39, in detect model = attempt_load(weights, map_location=device) # load FP32 model File "/Users/jason/Downloads/yolov5-5.0/models/experimental.py", line 118, in attempt_load ckpt = torch.load(w, map_location=map_location) # load File "/Users/jason/Downloads/yolov5-7.0/venv/lib/python3.10/site-packages/torch/serialization.py", line 809, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/Users/jason/Downloads/yolov5-7.0/venv/lib/python3.10/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/Users/jason/Downloads/yolov5-7.0/venv/lib/python3.10/site-packages/torch/serialization.py", line 1165, in find_class return super().find_class(mod_name, name) AttributeError: Can't get attribute 'SPPF' on <module 'models.common' from '/Users/jason/Downloads/yolov5-5.0/models/common.py'>

这是一个Python代码的错误提示信息，显示出错的文件路径是“/Users/jason/Downloads/yolov5-5.0/detect.py”，错误的具体位置在第183行，最近的调用是在第39行。错误原因是在尝试加载模型权重时出现问题。