MATLAB: Multiple Labels in an Image

computer visionComputer Vision Toolboxdetectionimage processinginsertobjectannotationlabeling

Hello, I am currently doing a project and inventory categorization and I can detect each type of inventory, but I can only output each detected image labeled on separate images. I want to know how to label all the detected images on one image. I am currently using insertObjectAnnotation to label my detected items. Can someone please shed some light on how I can put all the labeled products on one image. Thank you.

Best Answer

you can store labels for all of your items in a cell array of strings and then you can use this cell array of strings in place of single label. For more information see:

http://www.mathworks.com/help/vision/ref/insertobjectannotation.html#inputarg_Label

I hope it helps. Good luck!

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vision.CascadeObjectDetector does not support specifying an roi directly. But you can always crop the image, e.g. using imcrop, and pass the cropped image into step().

MATLAB: I have trained the cascade object detector to detect fists. But now I want to count the number of fists and display. Is there any way using vision toolbox ? please suggest me the steps

If you have already trained a cascade object classifier, you should already have an output XML file containing the classification model as created by trainCascadeObjectDetector.

Now specify this XML file as the classification model when using the vision.CascadeObjectDetector.

As an example, if the XML file is fist.xml

% associate fist.xml classification model to Cascade Object Detector
fistDetector = vision.CascadeObjectDetector('fist.xml');
% run the classifier on image im and return bounding boxes of fists.
fistBBox = step(fistDetector, im);
% display fists on image
imFist = insertObjectAnnotation(im,'rectangle',fistBBox,'Fist');
figure, imshow(imFist)

Best Answer

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