vision.cascadeobjectdetector overridden in matlab

In Matlab, you can create your own Cascade Object Detector by training it on your own set of positive and negative images using the trainCascadeObjectDetector function. Once you have trained your detector, you can use the vision.CascadeObjectDetector class to load and use it.

Here's an example of how to load a custom Cascade Object Detector:

main.m
% Load trained detector
detector = vision.CascadeObjectDetector('myDetector.xml');

% Read image
img = imread('example.jpg');

% Detect objects using loaded detector
bbox = step(detector, img);

% Draw bounding boxes around detected objects
detectedImg = insertShape(img, 'Rectangle', bbox, 'LineWidth', 3);

% Display detected image
imshow(detectedImg);
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In the above example, myDetector.xml is the trained Cascade Object Detector that is being loaded. step(detector, img) is used to detect objects in the input img. Finally, insertShape is used to draw bounding boxes around the detected objects, and imshow is used to display the image with the detected objects.

Note that you will need to train your own Cascade Object Detector using positive and negative images specific to your use case.