Blog

Signals let you intercept an action performed on a model or on requests (request, response) and react accordingly. For example, if you have a user model and want something to happen in your own model whenever a new user registers, you can do that using signals.

Learn about Harris Corner Detection concepts and implementation. We cover cv.cornerHarris() and cv.cornerSubPix() for sub-pixel accuracy corner detection.

Learn what image features are, why they are important, and why corners are good features. Covers the basics of feature detection and description.

Learn to use marker-based image segmentation using watershed algorithm. We cover cv.watershed() with distance transform to segment touching objects.

Learn to use GrabCut algorithm to extract foreground in images. We cover cv2.grabCut() with both rectangle and mask initialization modes.

Learn about the hierarchy of contours, i.e. the parent-child relationship in Contours. We cover RETR_LIST, RETR_EXTERNAL, RETR_CCOMP and RETR_TREE flags with examples.

Learn about convexity defects, finding shortest distance from a point to a polygon, and matching different shapes. We cover cv2.convexityDefects(), cv2.pointPolygonTest() and cv2.matchShapes().

Learn to extract frequently used properties of objects like Solidity, Equivalent Diameter, Mask image, Mean Intensity. Also covers extreme points, aspect ratio, and more.

Learn to find different features of contours like area, perimeter, centroid, bounding box. We cover cv2.moments(), cv2.contourArea(), cv2.minAreaRect() and many more functions.