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@@ -132,13 +132,14 @@ All the task information that ClearML captures can be viewed in the [WebApp](../
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View saved model snapshots in the **ARTIFACTS** tab.
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### Scalars
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View the scalars in the task's **SCALARS** tab.
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### Debug Samples
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@@ -146,5 +147,6 @@ View the scalars in the task's **SCALARS** tab.
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ClearML automatically tracks images logged to `TensorboardLogger`. They appear in the task's **DEBUG SAMPLES**.
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@@ -28,7 +28,8 @@ This will create a ClearML Task that captures:
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View captured Matplotlib plots and images in the [WebApp](../webapp/webapp_exp_track_visual.md),
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in the task's **Plots** and **Debug Samples** tabs respectively.
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## Automatic Logging Control
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By default, when ClearML is integrated into your script, it captures all of your matplotlib visualizations.
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@@ -67,12 +68,14 @@ plt.show()
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The logged figure is displayed in the task's **Plots** tab.
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Matplotlib figures can be logged as images by passing `report_image=True` to `Logger.report_matplotlib_figure()`.
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View the images in the task's **DEBUG SAMPLES** tab.
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See [Manual Matplotlib Reporting](../guides/reporting/manual_matplotlib_reporting.md) example.
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@@ -31,7 +31,8 @@ And that's it! This creates a [ClearML Task](../fundamentals/task.md) which capt
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You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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See an example of PyTorch Lightning and ClearML in action [here](../guides/frameworks/pytorch_lightning/pytorch_lightning_example.md).
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