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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: RizwanMunawar <chr043416@gmail.com> Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
16 lines
998 B
Markdown
16 lines
998 B
Markdown
---
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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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---
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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><br>
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## ::: ultralytics.solutions.streamlit_inference.inference
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<br><br>
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