line1 = np.array([[100, 20], [300, 20]], np.int32).reshape((-1, 1, 2)) line2 = np.array([[100, 60], [300, 60]], np.int32).reshape((-1, 1, 2)) line3 = np.array([[100 ...
This project demonstrates how to perform object detection on a specific cropped region of a video using YOLOv8 and OpenCV in Python. It detects objects only within a defined region of interest (ROI), ...
Check out this computer vision OpenCV course using Python, where you will learn the basics (read/write images and videos, color channels, resizing, histogram, convolution, filtering, and gradients) to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results