45 lines
1.3 KiB
Markdown
45 lines
1.3 KiB
Markdown
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---
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description: Learn how to use NeptuneAI with Ultralytics for advanced logging and tracking of experiments. Detailed setup and callback functions included.
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keywords: Ultralytics, NeptuneAI, YOLO, experiment logging, machine learning, AI, callbacks, training, validation
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---
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# Reference for `ultralytics/utils/callbacks/neptune.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/neptune.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/neptune.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/neptune.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune._log_scalars
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune._log_images
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune._log_plot
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune.on_pretrain_routine_start
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune.on_train_epoch_end
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune.on_fit_epoch_end
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune.on_val_end
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<br><br>
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## ::: ultralytics.utils.callbacks.neptune.on_train_end
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<br><br>
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