clear,clc; load detector.mat [fname,fpath] = uigetfile("*.jpg;*.png;*.png;*.bmp"); path = fullfile(fpath,fname); I = imread(path); imshow(I); ROI = drawrectangle("Label","ROI"); bbox = ROI.Position; Iin = imresize(imcrop(I,bbox),detector.InputSize(1:2)); imshow(Iin); keypoints = detectPose(detector,Iin); J = detector.visualizeKeyPoints(Iin,keypoints); imshow(J);在这段代码后加入判断人体站姿或者坐姿的代码

可以在上述代码的最后加入以下代码来判断人体的姿态：

nose = keypoints(1, :); 
lshoulder = keypoints(6, :); 
rshoulder = keypoints(5, :); 
lelbow = keypoints(7, :); 
relbow = keypoints(4, :); 
lwrist = keypoints(8, :); 
rwrist = keypoints(3, :); 
lhip = keypoints(12, :); 
rhip = keypoints(9, :); 
lknee = keypoints(13, :); 
rknee = keypoints(10, :); 
lankle = keypoints(14, :); 
rankle = keypoints(11, :); 

shoulder_width = norm(lshoulder - rshoulder); 
hip_width = norm(lhip - rhip); 
knee_distance = norm(lknee - rknee); 

if nose(2) < lshoulder(2) && nose(2) < rshoulder(2) && shoulder_width > 0.6*hip_width     
    posture = '站姿'; 
elseif abs(nose(2)-lshoulder(2)) < 0.25*shoulder_width && abs(nose(2)-rshoulder(2)) < 0.25*shoulder_width && lknee(2) > lhip(2) && rknee(2) > rhip(2) && knee_distance < 0.6*hip_width     
    posture = '坐姿'; 
else     
    posture = '未知姿态'; 
end 

disp(posture);

这段代码首先根据人体关键点的坐标位置，计算出肩膀宽度、臀部宽度、膝盖间距等参数，然后根据这些参数和关键点的位置信息，判断人体的姿态是站姿、坐姿还是未知姿态，并将结果输出。