yolov5训练修改encoding=‘utf-8’仍报编码解码错误

UnicodeDecodeError: 'gbk' codec can't decode byte 0xaa in position 39: illegal multibyte sequence

cuda=10.2
torch=1.8.0

yolov5.3.0的train.py文件
修改如下：

   # TODO: Use DDP logging. Only the first process is allowed to log.
    # Save run settings
    with open(log_dir / 'hyp.yaml', 'w', encoding='utf-8', errors='ignore') as f:
        yaml.dump(hyp, f, sort_keys=False)
    with open(log_dir / 'opt.yaml', 'w', encoding='utf-8', errors='ignore') as f:
        yaml.dump(vars(opt), f, sort_keys=False)

    # Configure
    cuda = device.type != 'cpu'
    init_seeds(2 + rank)
    with open(opt.data, encoding='utf-8', errors='ignore') as f:
        data_dict = yaml.load(f, Loader=yaml.FullLoader)  # model dict
    with torch_distributed_zero_first(rank):
        check_dataset(data_dict)  # check
    train_path = data_dict['train']
    test_path = data_dict['val']
    nc, names = (1, ['item']) if opt.single_cls else (int(data_dict['nc']), data_dict['names'])  # number classes, names
    assert len(names) == nc, '%g names found for nc=%g dataset in %s' % (len(names), nc, opt.data)  # check

已在with open后添加 , encoding='utf-8', errors='ignore' ，仍报错 UnicodeDecodeError: 'gbk' codec can't decode byte 0xaa in position 39: illegal multibyte sequence
报错如下：

试了将.yaml中的空格和换行符删除的方法，没有效果，求指教。