yolo训练时遇到GBK编码问题

yolo训练时遇到GBK编码问题

启动训练具体信息如下:

comet upload E:\python\yolov9-main.cometml-runs\e0c17dd22058467f98cf447d5cc45bf5.zip

COMET INFO: Using 'D:\pycharmProject\yolov5-master-6.2\.cometml-runs' path as offline directory. Pass 'offline_directory' parameter into constructor or set the 'COMET_OFFLINE_DIRECTORY' environment variable to manually choose where to store offline experiment archives.

COMET WARNING: Native output logging mode is not available, falling back to basic output logging

Traceback (most recent call last):

File "D:\pycharmProject\yolov5-master-6.2old\train.py", line 630, in

main(opt)

File "D:\pycharmProject\yolov5-master-6.2old\train.py", line 526, in main

train(opt.hyp, opt, device, callbacks)

File "D:\pycharmProject\yolov5-master-6.2old\train.py", line 94, in train

loggers = Loggers(save_dir, weights, opt, hyp, LOGGER) # loggers instance

File "D:\pycharmProject\yolov5-master-6.2old\utils\loggers_init _.py", line 132, in init

self.comet_logger = CometLogger(self.opt, self.hyp)

File "D:\pycharmProject\yolov5-master-6.2old\utils\loggers\comet_init _.py", line 97, in init

self.data_dict = self.check_dataset(self.opt.data)

File "D:\pycharmProject\yolov5-master-6.2old\utils\loggers\comet_init _.py", line 232, in check_dataset

data_config = yaml.safe_load(f)

File "D:\ProgramData\Anaconda3\lib\site-packages\yaml_init _.py", line 125, in safe_load

return load(stream, SafeLoader)

File "D:\ProgramData\Anaconda3\lib\site-packages\yaml_init _.py", line 79, in load

loader = Loader(stream)

File "D:\ProgramData\Anaconda3\lib\site-packages\yaml\loader.py", line 34, in init

Reader.init (self, stream)

File "D:\ProgramData\Anaconda3\lib\site-packages\yaml\reader.py", line 85, in init

self.determine_encoding()

File "D:\ProgramData\Anaconda3\lib\site-packages\yaml\reader.py", line 124, in determine_encoding

self.update_raw()

File "D:\ProgramData\Anaconda3\lib\site-packages\yaml\reader.py", line 179, in update_raw

data = self.stream.read(size)

UnicodeDecodeError: 'gbk' codec can't decode byte 0x80 in position 233: illegal multibyte sequence

<_io.TextIOWrapper name='data\coco128.yaml' mode='r' encoding='cp936'> ---------------------

COMET INFO: Couldn't find a Git repository in 'D:\pycharmProject\yolov5-master-6.2old' nor in any parent directory. Set COMET_GIT_DIRECTORY if your Git Repository is elsewhere.

COMET WARNING: Unknown error exporting current conda environment

COMET INFO: ---------------------------------------------------------------------------------------

COMET INFO: Comet.ml OfflineExperiment Summary

COMET INFO: ---------------------------------------------------------------------------------------

COMET INFO: Data:

COMET INFO: display_summary_level : 1

COMET INFO: url : OfflineExperiment will get URL after upload

COMET INFO: Others:

COMET INFO: offline_experiment : True

COMET INFO: Uploads:

COMET INFO: conda-info : 1

COMET INFO: conda-specification : 1

COMET INFO: environment details : 1

COMET INFO: installed packages : 1

COMET INFO:

COMET WARNING: Experiment Name is generated at upload time for Offline Experiments unless set explicitly with Experiment.set_name

COMET WARNING: To get all data logged automatically, import comet_ml before the following modules: tensorboard, torch.

COMET INFO: Still saving offline stats to messages file before program termination (may take up to 120 seconds)

COMET INFO: Starting saving the offline archive

COMET INFO: To upload this offline experiment, run:

comet upload D:\pycharmProject\yolov5-master-6.2.cometml-runs\bf6f678f442649758c6ec09340cd9b34.zip

解决方法

bash 复制代码
pip uninstall comet-ml

删运行命令卸载掉这个包后可以正常运行


参考文章https://blog.csdn.net/shuangshuangboole/article/details/131420080

https://github.com/ultralytics/yolov5/issues/10301

相关推荐
在所不辞兄20 分钟前
为什么在电池供电场景下,不能采用固定电压频率策略,而需要动态调整以最大化 Race-to-Sleep 收益?
人工智能·深度学习·神经网络·机器学习
2601_9679873742 分钟前
SVM支持向量机通俗解析:找到机器学习的“最优分界线”
机器学习·svm·分类算法·核函数·最大间隔
BYSJMG1 小时前
计算机毕业设计选题推荐|【基于深度学习的电梯电动车违规进入检测研究】YOLO26m+可视化大屏
人工智能·深度学习·神经网络·目标检测·机器学习·计算机视觉·课程设计
盼小辉丶1 小时前
PyTorch强化学习实战(35)——多智能体强化学习
人工智能·pytorch·深度学习·强化学习
罗西的思考12 小时前
【轻量化复刻大模型 / KIMI K3】AttnRes 模块交互式演示
人工智能·算法·机器学习
武子康1 天前
H3-World 的动作能按时发生,为何还不能据此判断实时互动?
人工智能·深度学习·agent
硅谷秋水1 天前
将闲科技(LiberAI)提出世界动作模型Liber-0
机器学习·计算机视觉·语言模型·机器人
Rocky Ding*1 天前
【三年面试五年模拟】2026-11-05_月之暗面大模型算法岗一面、二面面经全解析
论文阅读·人工智能·深度学习·机器学习·aigc·强化学习·ai-native
在所不辞兄1 天前
【人工智能驱动的电催化研究-05】条件、循环与数据检查
人工智能·深度学习·神经网络·机器学习·有限元·电化学·电催化
Godspeed Zhao1 天前
从零开始学AI25——无监督学习之层次聚类
学习·机器学习·聚类