-
Notifications
You must be signed in to change notification settings - Fork 0
/
ClassifyFrame.m
33 lines (29 loc) · 1.17 KB
/
ClassifyFrame.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
function [label,IMwithFace] = ClassifyFrame(RGBframe,net)
%Capture Frame Image
Grayframe = rgb2gray(RGBframe);
%Create Face Recognition Object
faceDetector = vision.CascadeObjectDetector('MergeThreshold',10);
%detect face and crop image to just face for machine learning model to
%recognize
bboxes = faceDetector(Grayframe);
try
%resize the bounding box of the face to account for more facial space
%with 100 pixel buffer
if isempty(bboxes)
buffer = 100;
bboxes(1) = bboxes(1) - buffer;
bboxes(2) = bboxes(2) - buffer;
bboxes(3) = bboxes(3) + buffer;
bboxes(4) = bboxes(4) + buffer;
end
imCropped = imcrop(Grayframe,bboxes);%crop image
imCropped = imresize(imCropped,[48 48]);%resize to fit network inputs
label = classify(net,imCropped); %classify image with network
label = string(label);% convert label to string
IMwithFace = insertObjectAnnotation(RGBframe,'rectangle',bboxes,label); %inset bounding box onto image
catch
%if face could not be read
label = "Couldn't Read Face"; %indicate no facial recognition on emotion element
IMwithFace = RGBframe; %just show regular webcam image
end
end