ultralytics 8.0.196 instance-mean Segment loss (#5285)
Co-authored-by: Andy <39454881+yermandy@users.noreply.github.com>
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@ -68,4 +68,4 @@ By writing a guide or tutorial, you can help expand our documentation and provid
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To contribute, please check out our [Contributing Guide](https://docs.ultralytics.com/help/contributing) for instructions on how to submit a Pull Request (PR) 🛠️. We eagerly await your contributions!
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Let's collaborate to make the Ultralytics YOLO ecosystem more expansive and feature-rich 🙏!
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Let's collaborate to make the Ultralytics YOLO ecosystem more expansive and feature-rich 🙏!
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@ -14,9 +14,9 @@ OpenVINO, short for Open Visual Inference & Neural Network Optimization toolkit,
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<p align="center">
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<br>
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<iframe width="720" height="405" src="https://www.youtube.com/embed/kONm9nE5_Fk?si=kzquuBrxjSbntHoU"
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title="YouTube video player" frameborder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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<iframe width="720" height="405" src="https://www.youtube.com/embed/kONm9nE5_Fk?si=kzquuBrxjSbntHoU"
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title="YouTube video player" frameborder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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allowfullscreen>
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</iframe>
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<br>
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@ -35,7 +35,7 @@ To install the required packages, run:
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```bash
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# Install and update Ultralytics and Ray Tune packages
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pip install -U ultralytics "ray[tune]"
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# Optionally install W&B for logging
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pip install wandb
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```
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@ -48,10 +48,10 @@ To install the required packages, run:
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```python
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from ultralytics import YOLO
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# Load a YOLOv8n model
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model = YOLO('yolov8n.pt')
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# Start tuning hyperparameters for YOLOv8n training on the COCO8 dataset
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result_grid = model.tune(data='coco8.yaml', use_ray=True)
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```
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