Object Detection on Cropped Region using YOLOv8 | OpenCV + Python Tutorial
🎥 Object Detection on Cropped Region using YOLOv8 | OpenCV + Python
In this video, we perform object detection on a specific cropped region of a video using YOLOv8 and OpenCV in Python. 🚀
You’ll learn how to:
✅ Load a YOLOv8 model trained for object detection
✅ Capture frames from a video using OpenCV
✅ Crop and process a specific region of interest (ROI)
✅ Perform inference only on that region
✅ Draw bounding boxes and visualize detections in real-time
✅ Save and display the output video
This project demonstrates how to integrate YOLOv8 into your custom video pipelines efficiently — ideal for surveillance, sports analytics, and region-based detections.
🧠 Code Explanation
The code reads a video, selects a defined portion (image[2000:3000, 0:2225]), and runs YOLOv8 inference only on that section to save computation and focus detection on an area of interest. Bounding boxes are drawn with class labels, and results are displayed frame-by-frame.
💻 GitHub Repository: https://github.com/NitinCVOrbit/Objec...
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