UnicodeDecodeError: 'gbk' codec can't decode byte 0xab in position 408: illegal multibyte sequence

[HappyBookroom]

I encountered a problem while debugging this project, mainly due to the file encoding format.
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Traceback (most recent call last):
File "E:\PyCharm_2023\Learn_Pytorch\YOLOv4\ScaledYOLOv4-yolov4-large\train.py", line 443, in
train(hyp, opt, device, tb_writer)
File "E:\PyCharm_2023\Learn_Pytorch\YOLOv4\ScaledYOLOv4-yolov4-large\train.py", line 53, in train
data_dict = yaml.load(f, Loader=yaml.FullLoader) # model dict
File "E:\Anaconda3\envs\torch\lib\site-packages\yaml_init_.py", line 79, in load
loader = Loader(stream)
File "E:\Anaconda3\envs\torch\lib\site-packages\yaml\loader.py", line 24, in init
Reader.init(self, stream)
File "E:\Anaconda3\envs\torch\lib\site-packages\yaml\reader.py", line 85, in init
self.determine_encoding()
File "E:\Anaconda3\envs\torch\lib\site-packages\yaml\reader.py", line 124, in determine_encoding
self.update_raw()
File "E:\Anaconda3\envs\torch\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 408: illegal multibyte sequence

In the train.py file, make the following modifications(Lines 49 to 57)：
'''

# Configure
cuda = device.type != 'cpu'
init_seeds(2 + rank)
with open(opt.data,encoding='utf-8') as f:
    data_dict = yaml.load(f, Loader=yaml.FullLoader)  # model dict
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

'''