Aryan-Chharia / Computer-Vision-Projects

Check out my Computer Vision Repository for projects showcasing advanced image processing techniques like object detection, image stitching, and segmentation using Python and OpenCV. Whether you're a researcher, developer, or enthusiast, you'll find comprehensive insights and practical implementations to advance your computer vision skills.
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Real time boxers Detection #223

Closed Nikhat623446 closed 1 month ago

Nikhat623446 commented 1 month ago

Related Issue

Real time Boxers Detection.

NOTE: Kindly write in the following format -

Closes #107

Description

Detect and Track the Boxers using YOLO and OpenCV Utilize YOLO for object detection in combination with OpenCV to process the video. YOLO is a fast object detection algorithm that can accurately identify the boxers in the frames of the video. OpenCV will be used for video frame manipulation and to apply the YOLO model. Get Positional Information of Each Boxer Once the boxers are detected, extract their positional information (bounding box coordinates: x, y, width, height) in each frame. This data can be used to track their movements across the video.`

Type of PR

Screenshots / videos (if applicable)

image

Checklist:

Additional context:

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