Is VisualDL usable in Google Colab/ Kaggle Notebook?

[l03126]

Would appreciate if anyone could share regarding their experience using VisualDL on Colab or Kaggle Notebook. Tq

[GreatV]

Yes, VisualDL can be used in environments like Google Colab or Kaggle Notebook, but there are some considerations to keep in mind:

1. Installation: You need to install the VisualDL package in the Colab or Kaggle environment. This can be done using the following command:

   !pip install visualdl

2. Usage: Once installed, you can integrate VisualDL into your training workflow to visualize metrics such as loss curves, accuracy, etc. Typically, you would log the metrics during training and then launch a VisualDL server locally to view the results.

3. Accessing VisualDL in Colab or Kaggle: Since both Colab and Kaggle are hosted environments, you need to use tunneling to access the VisualDL dashboard. Tools like ngrok or ColabCode can help you expose the local VisualDL server to a public URL. For example:

   # Install ngrok
   !pip install pyngrok
   
   # Start VisualDL
   !visualdl --logdir ./log --port 8080 &
   
   # Expose the VisualDL server using ngrok
   from pyngrok import ngrok
   url = ngrok.connect(8080)
   print(f"VisualDL is running at {url}")

4. Deprecation in PaddleOCR: Based on the provided document, it seems that VisualDL has been deprecated in PaddleOCR. When using PaddleOCR, enabling Global.use_visualdl results in a warning:

   ppocr WARNING: You are using VisualDL, the VisualDL is deprecated and removed in ppocr!
   

   This indicates that VisualDL is no longer supported natively in PaddleOCR for visualizing training metrics. If you specifically want to use VisualDL, you would need to manually log the metrics from your training script.

5. Alternative Solutions: If you are working with PaddleOCR and VisualDL is not an option, consider using other visualization tools like TensorBoard or Matplotlib for monitoring training metrics.

In summary, VisualDL is usable in Colab and Kaggle Notebooks with proper setup, but if your use case involves PaddleOCR, you may need to explore alternatives due to its deprecation in that framework.

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