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| description | keywords |
|---|---|
| Configure and customize Ultralytics Vision AI solutions using the SolutionConfig class. Define model paths, regions of interest, visualization options, tracking parameters, and keypoint analytics with a clean, type-safe dataclass structure for scalable development. | Ultralytics, SolutionConfig, vision AI configuration, YOLO models, Python dataclass, object detection, region of interest, tracking, keypoint analytics, computer vision, model inference, object counting, heatmaps, parking management, research |
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ultralytics/solutions/config.py!!! note
This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/config.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/config.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/solutions/config.py) 🛠️. Thank you 🙏!
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with your S3 compatible storage!
Are you sure you want to delete this access key?