D:\Anaconda\lib\site-packages\openpyxl\worksheet\_reader.py:300:

根据提供的引用内容，这是一个警告信息，警告信息的内容是“未知扩展名不受支持，将被删除”。这个警告信息出现在openpyxl模块的worksheet\_reader.py文件的第300行。这个警告信息的意思是openpyxl模块无法识别某个扩展名，因此会将其删除。这个警告信息并不会影响代码的运行，只是提醒用户某些扩展名可能会被删除。

相关问题

Traceback (most recent call last): File "end2end.py", line 181, in <module> main() File "end2end.py", line 37, in main p = create_config(args.config_env, args.config_exp) File "G:\python\github\GCC-master\utils\config.py", line 16, in create_config config = yaml.safe_load(stream) File "G:\anaconda\envs\GCC\lib\site-packages\yaml\__init__.py", line 162, in safe_load return load(stream, SafeLoader) File "G:\anaconda\envs\GCC\lib\site-packages\yaml\__init__.py", line 112, in load loader = Loader(stream) File "G:\anaconda\envs\GCC\lib\site-packages\yaml\loader.py", line 34, in __init__ Reader.__init__(self, stream) File "G:\anaconda\envs\GCC\lib\site-packages\yaml\reader.py", line 85, in __init__ self.determine_encoding() File "G:\anaconda\envs\GCC\lib\site-packages\yaml\reader.py", line 124, in determine_encoding self.update_raw() File "G:\anaconda\envs\GCC\lib\site-packages\yaml\reader.py", line 178, in update_raw data = self.stream.read(size) UnicodeDecodeError: 'gbk' codec can't decode byte 0xab in position 11: illegal multibyte sequence

根据提供的错误信息，问题出现在读取配置文件时的编码错误。

错误类型是`UnicodeDecodeError`，显示`'gbk' codec can't decode byte 0xab in position 11: illegal multibyte sequence`，即`gbk`编码无法解码位置11处的字节。

这个错误通常发生在尝试使用错误的编码方式读取文件时。根据错误信息，可能是配置文件使用了不同于`gbk`编码的字符集。

为了解决这个问题，你可以尝试指定正确的编码方式打开文件。修改代码如下：

with open(config_file_exp, 'r', encoding='utf-8') as stream:
    config = yaml.safe_load(stream)

在`open()`函数中，添加了`encoding='utf-8'`参数，用于指定正确的编码方式打开文件。你可以根据实际情况选择正确的编码方式，比如`utf-8`或其他适合配置文件的编码方式。

确保配置文件的编码方式与代码中指定的编码方式一致，以避免出现编码错误。

Traceback (most recent call last): File "D:/LPRNet_Pytorch-master/LPRNet_Pytorch-master/train_LPRNet.py", line 268, in <module> train() File "D:/LPRNet_Pytorch-master/LPRNet_Pytorch-master/train_LPRNet.py", line 107, in train lprnet.load_state_dict(torch.load(args.pretrained_model)) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 608, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 787, in _legacy_load result = unpickler.load() File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 743, in persistent_load deserialized_objects[root_key] = restore_location(obj, location) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 175, in default_restore_location result = fn(storage, location) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 151, in _cuda_deserialize device = validate_cuda_device(location) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 135, in validate_cuda_device raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

这个错误是因为你在尝试从一个CUDA设备上加载模型，但是当前的机器上没有GPU。你需要使用`torch.load`函数时传入`map_location=torch.device('cpu')`的参数来将模型加载到CPU上。 例如：

lprnet.load_state_dict(torch.load(args.pretrained_model, map_location=torch.device('cpu')))