Object detection and Tracking in 5 minutes using Python with Yolov8 and OpenCV.
Object detection and Tracking in 5 minutes using Python with Yolov8 and OpenCV.
Hello, in this video I will share the results of testing object detection using YOLOv8 model in python and open CV. We will see how we can perform object detection as we seen in this video using latest YOLOv8 model.
We can see here it doesn't require a lot of code, I think in less than 3 minutes we can create a simple standard object detection application
YOLO stands for “You Only Look Once” which is the most prominent deep learning model architecture that has gained immense popularity in the field of computer vision. It is gaining popularity day by day due to its accuracy and fast image processing capabilities.
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Resources:
You will need:
1. Python
https://www.python.org/downloads/
2. Pycharm:
https://www.jetbrains.com/pycharm/dow...
Doscuments:
https://docs.ultralytics.com/quickstart/
https://docs.ultralytics.com/modes/tr...
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Source Code:
GitHub
https://github.com/BngDev212
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