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4^ MATLAB R2015a - trial use

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% Create a Cascade detector object. faceDetector = vision.CascadeObjectDetector(); faceDetector.MinSize = [20 22]; faceDetector.MergeThre3hold =3;

I = imread (' C: \Users\Dom\Desktop\11157435_10152808505852060_2512461460995904741_o.png') ; bboxes = step(faceDetector, I);

IFaces = insertObjectAnnotation(I, 'rectar.gle', bboxes, 'Twarz'); count = 3ize(bboxe3)

figurę, imshow(IFace3) , title(['Ilość wykrytych twarzy kuców: pomiędzy ' int2str(count(1)

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Name	Value
S ans	261
£ bbox	[264 122 93 93]
, ;1] bodyDetector	1x1 struct
faceDetector	1x1 CoscadeObjectD
Si	4608x8192x3 uint8
SIFaces	4608x8192x3 uint8
©] peopleDetector	1x1 PeopleDetector
S scores	50x1 double
videoFileReader	1x1 VideoFileReader
S videoFrame	480x640x3 single
S videoOut	480x640x3 single

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Warnir.g: Image is too big to fit > Ir. images . internal. ini tSize (1 In imshow (lir.e 305)

Ir. Untitled (lir.e 9) fx Trial»

Ilość wykrytych twarzy kuców: pomiędzy 462 a 693

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