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1 year ago 👋 Hello @IGAMER2013, thank you for leaving an issue on Roboflow Notebooks.
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SkalskiP
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Notebook name
https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-rtmdet-object-detection-on-custom-data.ipynb?ref=blog.roboflow.com#scrollTo=xv3sfbyjjKLf
Bug
Training
%cd {HOME}/mmyolo!python tools/train.py configs/rtmdet/custom.py
/content/mmyolo Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/mmengine/config/config.py", line 106, in getattr value = super().getattr(name) File "/usr/local/lib/python3.10/dist-packages/addict/addict.py", line 67, in getattr return self.getitem(item) File "/usr/local/lib/python3.10/dist-packages/mmengine/config/config.py", line 135, in getitem return self.build_lazy(super().getitem(key)) File "/usr/local/lib/python3.10/dist-packages/mmengine/config/config.py", line 102, in missing raise KeyError(name) KeyError: 'file_client_args'
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/content/mmyolo/tools/train.py", line 123, in
main()
File "/content/mmyolo/tools/train.py", line 67, in main
cfg = Config.fromfile(args.config)
File "/usr/local/lib/python3.10/dist-packages/mmengine/config/config.py", line 456, in fromfile
cfg_dict, cfg_text, env_variables = Config._file2dict(
File "/usr/local/lib/python3.10/dist-packages/mmengine/config/config.py", line 940, in _file2dict
raise e
File "/usr/local/lib/python3.10/dist-packages/mmengine/config/config.py", line 918, in _file2dict
eval(codeobj, global_locals_var, global_locals_var)
File "/content/mmyolo/configs/rtmdet/custom.py", line 160, in
dict(type='LoadImageFromFile', file_client_args=base.file_client_args),
File "/usr/local/lib/python3.10/dist-packages/mmengine/config/config.py", line 110, in getattr
raise AttributeError(f"'{self.class.name}' object has no "
AttributeError: 'ConfigDict' object has no attribute 'file_client_args'
Environment
Minimal Reproducible Example
The error encountered in the code snippet stems from the missing attribute
file_client_argswithin the configuration object, specifically in the custom configuration file located at/content/mmyolo/configs/rtmdet/custom.py. When attempting to access this attribute within the custom configuration, Python throws aKeyError, followed by anAttributeError, indicating that the attribute does not exist in the configuration object. This could likely be due to an incorrect reference or a missing definition in the base configuration that the custom configuration is extending. It may require careful examination of the base configuration files or the documentation of the library being used to resolve this issue.Additional
I implemented a workaround solution to address the issue by removing the reference to
file_client_argsfrom the custom configuration file. This adjustment bypassed the error and allowed the training of the model to proceed without interruption. Since I am taking my first steps in machine learning and am a beginner in the field, it's possible that I might have misunderstood something or made a misconfiguration. While this solution enabled the immediate continuation of the project, it's important to note that it was a temporary fix. The underlying cause of the missing attribute still needs to be investigated, as the absence offile_client_argsmight have an impact on other functionalities or aspects of the system. However, this workaround provided an effective way to move forward with the training process, and I am eager to learn more to understand the root cause of the problem."train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), ed_images=mosaic_max_cached_images, pad_val=114.0),........ ]
train_pipeline_stage2 = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict(.............. ]
test_pipeline = [ dict(type='LoadImageFromFile'), dict(type='YOLOv5KeepRatioResize', scale=img_scale), ........... ]"
Are you willing to submit a PR?