face mask deep learning label display
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here is my code. I deep-learned mask recognition using an existing face recognition model, automating only half of the face to be labeled here. However, when displaying on the webcam, I want the masked person 'mask' and the non-masked person to be tracked so that 'no mask person' is boxed as the face size as the face size. How to write code for this?
回答（1 个）
yes，sir，may be the consuming time too much，may be use face-api.js to get the faster application，such as
3 个评论
주영 이
2021-12-8
yanqi liu
2021-12-9
yes，sir，may be can not load in MATLAB，may be use the http server to use the model in python，and make MATLAB client to develop
yanqi liu
2021-12-17
yes，sir，please use
the result as follow
I = imread('./SampleMaskData/demo.jpg');
resz = [224 224];
Ir = imresize(I, resz, 'bilinear');
[bbox,score,label] = detect(detector, Ir, 'threshold', 0.5);
bboxf([1 3]) = size(I,2)/resz(2)*bbox([1 3]);
bboxf([2 4]) = size(I,1)/resz(1)*bbox([2 4]);
detectedImg = insertObjectAnnotation(I, 'rectangle', bboxf, [string(label)+ " : "+string(score)], 'Color', 'magenta', ...
'Fontsize', 30, 'linewidth', 30, 'textboxopacity', 0.4);
detectedImg = insertText(detectedImg, [10, 1], " Find mask ", 'FontSize', 20, 'BoxColor', 'g');
figure
imshow(detectedImg)
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