Feature request : Implement Real-Time Face Blur Effect Using OpenCV
Closed this issue · 4 comments
Description:
We need to create a feature that applies a real-time blur effect to human faces detected in a video stream using OpenCV. This feature will enhance user privacy and can be useful for various applications.
Requirements:
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Real-Time Video Capture:
- Set up video capture from the webcam.
- Ensure the application can run continuously without lag.
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Face Detection:
- Use Haar Cascade or a deep learning model (like DNN) to detect faces in the video frames.
- Provide code snippets for face detection and drawing rectangles around detected faces.
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Blurring Effect:
- Apply a Gaussian blur or other blurring technique to the detected face regions.
- Ensure the blurring effect is seamless and maintains the overall quality of the video feed.
Acceptance Criteria:
- The feature should successfully detect and blur faces in real-time without significant delay.
- Code snippets should be clear and well-documented for ease of understanding.
- The final implementation should be tested across various scenarios (e.g., different angles, lighting conditions).
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Tag @Neilblaze,@SaiNivedh26 for assigning the issue to you.
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Thanks for raising this issue! However, we believe a similar issue already exists. Kindly go through all the open issues and ask to be assigned to that issue.
@UppuluriKalyani please look into it. This is not similar issue as I will be creating a program which can blue human faces by detecting them in real time. the issue already existing detects Blue. these are two different things
Hello @IkkiOcean! Your issue #496 has been closed. Thank you for your contribution!