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Add TensorboardX example doc (#93)
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title: TensorBoardX
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title: TensorBoardX with PyTorch
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---
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The [pytorch_tensorboardX.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/tensorboardx/pytorch_tensorboardX.py)
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docs/guides/frameworks/tensorboardx/video_tensorboardx.md
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docs/guides/frameworks/tensorboardx/video_tensorboardx.md
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title: TensorBoardX Video
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---
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The [moveiepy_tensorboardx.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/tensorboardx/moviepy_tensorboardx.py)
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example demonstrates the integration of ClearML into code, which creates a TensorBoardX `SummaryWriter` object to log
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video data.
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When the script runs, it creates an experiment named `pytorch with video tensorboardX`, which is associated with
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the `examples` project.
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## Debug Samples
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ClearML automatically captures the video data that is added to the `SummaryWriter` object, using the `add_video` method.
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The video appears in the experiment page in the ClearML web UI under **RESULTS > DEBUG SAMPLES**.
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![Debug Samples](../../../img/examples_tensorboardx_debug.png)
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{'Pytorch Ignite': ['guides/frameworks/pytorch ignite/integration_pytorch_ignite']},
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{'Pytorch Lightning': ['guides/frameworks/pytorch_lightning/pytorch_lightning_example']},
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{'Scikit-Learn': ['guides/frameworks/scikit-learn/sklearn_joblib_example', 'guides/frameworks/scikit-learn/sklearn_matplotlib_example']},
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{'TensorBoardX': ['guides/frameworks/tensorboardx/tensorboardx']},
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{'TensorBoardX': ['guides/frameworks/tensorboardx/tensorboardx', "guides/frameworks/tensorboardx/video_tensorboardx"]},
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{
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'Tensorflow': ['guides/frameworks/tensorflow/tensorboard_pr_curve', 'guides/frameworks/tensorflow/tensorboard_toy',
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'guides/frameworks/tensorflow/tensorflow_mnist', 'guides/frameworks/tensorflow/integration_keras_tuner']
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