ClearML FAQ | I Am Currently Training A Yolo Model Using The Yolov5 Framework Within A Container. I Am Using The --Project And --Name Flags During The Training Process, But Unfortunately, The Training Results Are Not Being Sent To The Server. Instead, They Are Being Fo

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I Am Currently Training A Yolo Model Using The Yolov5 Framework Within A Container. I Am Using The --Project And --Name Flags During The Training Process, But Unfortunately, The Training Results Are Not Being Sent To The Server. Instead, They Are Being Fo

I am currently training a YOLO model using the YOLOv5 framework within a container. I am using the --project and --name flags during the training process, but unfortunately, the training results are not being sent to the server. Instead, they are being formed inside the container with the project and name specified by the flags.

command :

python3 train.py --img 320 --data data/data.yaml --batch 32 --epochs 3 --weights yolov5s.pt --project sriram --name test

  				
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	11 months ago

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					StunningSwallow12
				
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it is saving the results in
sriram/test/<results>

  				
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	11 months ago

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					SuccessfulKoala55
				
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Hi @<1639074542859063296:profile|StunningSwallow12> !
This happens because the output_uri in Task.init is likely not set.
You could either set the env var CLEARML_DEFAULT_OUTPUT_URI to the file server you want the model to be uploaded to before running train.py or set sdk.development.default_upload_uri: true (or to the file server you want the model to be uploaded to) in your clearml.conf .
Also, you could call Task.init(output_uri=True) in your train.py script.

  				
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	11 months ago

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					SmugDolphin23
				
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