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description: Explore the live inference capabilities of Streamlit combined with Ultralytics YOLOv8. Learn to implement real-time object detection in your web applications with our comprehensive guide. |
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keywords: Ultralytics, YOLOv8, live inference, real-time object detection, Streamlit, computer vision, webcam inference, object detection, Python, ML, cv2 |
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# Reference for `ultralytics/solutions/streamlit_inference.py` |
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!!! note |
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/streamlit_inference.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/streamlit_inference.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/streamlit_inference.py) 🛠️. Thank you 🙏! |
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<br> |
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## ::: ultralytics.solutions.streamlit_inference.inference |
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<br><br>
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