function pick = nms(boxes, overlap) % pick = nms(boxes, overlap) 输入： boxes为所有候选框的左下角和右上角x，y坐标。overlap为事先人为设定的阈值。 % Non-maximum suppression. 输出： pick，即所有保留下来的框 % Greedily select high-scoring detections and skip detections % that are significantly covered by a previously selected detection. if isempty(boxes) pick = []; else x1 = boxes(:,1);          %所有候选框的左下角顶点x y1 = boxes(:,2);          %所有候选框的左下角顶点y x2 = boxes(:,3);          %所有候选框的右上角顶点x y2 = boxes(:,4);          %所有候选框的右上角顶点y s = boxes(:,end);         %所有候选框的置信度，可以包含1列或者多列，用于表示不同准则的置信度 area = (x2-x1+1) .* (y2-y1+1);   %所有候选框的面积 [vals, I] = sort(s);      %将所有候选框进行从小到大排序，vals为排序后结果，I为排序后标签 pick = []; while ~isempty(I) last = length(I);       %last代表标签I的长度，即最后一个元素的位置，（matlab矩阵从1开始计数） i = I(last);            %所有候选框的中置信度最高的那个的标签赋值给i pick = [pick; i];       %将i存入pick中，pick保存输出的NMS处理后的box的序号，即保存最后结果 suppress = [last];      %将I中最大置信度的标签在I中位置赋值给suppress，suppress作用为类似打标志， for pos = 1:last-1      %从1到倒数第二个进行循环 j = I(pos);           %得到pos位置的标签，赋值给j xx1 = max(x1(i), x1(j));%左上角最大的x（求两个方框的公共区域） yy1 = max(y1(i), y1(j));%左上角最大的y xx2 = min(x2(i), x2(j));%右下角最小的x yy2 = min(y2(i), y2(j));%右下角最小的y w = xx2-xx1+1;          %公共区域的宽度 h = yy2-yy1+1;          %公共区域的高度 if w > 0 && h > 0     %w,h全部>0，证明2个候选框相交 o = w * h / area(j);%计算overlap比值，即交集占候选框j的面积比例 if o > overlap      %如果大于设置的阈值就去掉候选框j，因为候选框i的置信度最高 suppress = [suppress; pos];   %大于规定阈值就加入到suppress，即待删除的框 end end end I(suppress) = [];%将待删除的框删除，I中剩余未处理的框。当I为空结束循环 end end 

boxes=[200,200,400,400,0.99;  
        220,220,420,420,0.9;  
        100,100,150,150,0.82;  
        200,240,400,440,0.5;
        150,250,300,400,0.88];  
overlap=0.8;     # 设置好的阈值
pick = nms(boxes, overlap);  
figure;  
for i=1:size(boxes,1)
    rectangle('Position',[boxes(i,1),boxes(i,2),boxes(i,3)-boxes(i,1),boxes(i,4)-boxes(i,2)],'EdgeColor','y','LineWidth',6);  
    text(boxes(i,1),boxes(i,2),num2str(boxes(i,5)),'FontSize',14,'color','b');  
end  
for i=1:size(pick,1)
    rectangle('Position',[boxes(pick(i),1),boxes(pick(i),2),boxes(pick(i),3)-boxes(pick(i),1),boxes(pick(i),4)-boxes(pick(i),2)],'EdgeColor','r','LineWidth',2);  
end  
axis([0 600 0 600]);