https://github.com/neptune-ai/neptune-detectron2

Experiment tracking for Detectron2. 🧩 Log, organize, visualize, and compare model metrics, hyperparameters, dataset versions, and more.
https://github.com/neptune-ai/neptune-detectron2

collaboration dashboard detection image ml mlops object python segmentation training versioning vision visualize

Last synced: 5 months ago
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Experiment tracking for Detectron2. 🧩 Log, organize, visualize, and compare model metrics, hyperparameters, dataset versions, and more.

• Host: GitHub
• URL: https://github.com/neptune-ai/neptune-detectron2
• Owner: neptune-ai
• License: apache-2.0
• Created: 2022-12-12T12:09:03.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-03-05T10:28:03.000Z (about 2 years ago)
• Last Synced: 2025-02-13T15:42:26.703Z (over 1 year ago)
• Topics: collaboration, dashboard, detection, image, ml, mlops, object, python, segmentation, training, versioning, vision, visualize
• Language: Python
• Homepage: https://docs.neptune.ai/integrations/detectron2/
• Size: 285 KB
• Stars: 1
• Watchers: 12
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

          
# Neptune - Detectron2 integration

Experiment tracking for Detectron2-trained models.

## What will you get with this integration?

* Log, organize, visualize, and compare ML experiments in a single place

* Monitor model training live

* Version and query production-ready models and associated metadata (e.g., datasets)

* Collaborate with the team and across the organization

## What will be logged to Neptune?

* Model configuration,

* Training code and Git information,

* System metrics and hardware consumption,

* [Other metadata](https://docs.neptune.ai/logging/what_you_can_log)

![image](https://neptune.ai/wp-content/uploads/2023/07/detectron2-integration-dashboard.jpg)

## Resources

* [Documentation](https://docs.neptune.ai/integrations/detectron2/)

* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/detectron2)

* [Example project in the Neptune app](https://neptune.ai/resources/detectron2-integration-example)

## Example

In the following example, we set the Trainer to save model checkpoints every 10th epoch. Neptune will upload those checkpoints and metrics at the same interval.

```python

neptune_run = neptune.init_run(

    project="workspace-name/project-name",

    name="My detectron2 run",

    tags = ["validation"],

    capture_stdout=False,

)

neptune_hook = NeptuneHook(

    run=neptune_run,

    log_checkpoints=True,

    metrics_update_freq=10,

)

```

## Support

If you got stuck or simply want to talk to us, here are your options:

* Check our [FAQ page](https://docs.neptune.ai/getting_help).

* You can submit bug reports, feature requests, or contributions directly to the repository.

* Chat! In the Neptune app, click the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP).

* You can just shoot us an email at [support@neptune.ai](mailto:support@neptune.ai).