Feat: Object Detection from Video & Statistical Analysis

[Jibesh10101011]

Describe the feature

This feature will enable object detection from videos and provide statistical insights about detected objects.

Feature Details

1. Users will have an option in the "Videos" section to process videos.
2. While processing, users can watch the video with detected objects in real-time.
3. After processing, a statistical distribution of detected objects (e.g., {person: 4, animal: 5}) will be provided. e.g.

4. Option to save metadata related to the statistical distribution for future reference.

Implementation Plan

• Integrate the YOLOv8 model with the existing object detection architecture.
• Implement WebSockets to send base64-encoded frames to the frontend for real-time visualization.
• Frame transmission via WebSocket may introduce some latency.
• Use Matplotlib for statistical analysis and visualization of detected objects.

Add ScreenShots

Demo Video In testing Phase

Demo_video_in_testing_phase.mp4

Record

• I agree to follow this project's Code of Conduct
• I want to work on this issue

[Jibesh10101011]

@Pranav0-0Aggarwal I am working on this feature , can you assign this to me ?

[Mansi08git]

I have worked on projects similar like this. In one of my project, I worked on face-detection and face recognition. Please assign this issue to me

[Jibesh10101011]

@Mansi08git I have completed my work for this issue . you may find another

[arpanhub]

@Jibesh10101011 have you completed this issue, or is it still in the testing phase?
If it's in testing, how many epochs did it take to achieve that accuracy percentage, and what learning rate are you using?

[Jibesh10101011]

@Jibesh10101011 have you completed this issue, or is it still in the testing phase? If it's in testing, how many epochs did it take to achieve that accuracy percentage, and what learning rate are you using?

@arpanhub My task for this issue is completed. I am not training any model here , the YOLO model is already provided, and I have simply utilized its functionality. I am waiting for @Pranav0-0Aggarwal to review this issue. After that, I will raise a PR.

[Ashutosh-KARNX7]

@Jibesh10101011 I working on something like camera face detection I think we should go for the pr

[Jibesh10101011]

@Jibesh10101011 I working on something like camera face detection I think we should go for the pr

Yes @Ashutosh-KARNX7 I think you are right , but needs our mentor @Pranav0-0Aggarwal 's review once for this issue .

[Ashutosh-KARNX7]

Bro this is a usefull feature he is busy person (I think he is a final year student ) I don' t think so he has now that much time that he can do this. So go for the pr