75 lines
1.8 KiB
Matlab
75 lines
1.8 KiB
Matlab
function top = nms_face(boxes,overlap)
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% Non-maximum suppression.
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% Greedily select high-scoring detections and skip detections
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% that are significantly covered by a previously selected detection.
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if nargin < 2
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overlap = 0.5;
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end
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N = length(boxes);
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if isempty(boxes)
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top = [];
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else
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numpart = size(boxes(1).xy,1);
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% throw away boxes with low score if there are too many candidates
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if N > 30000
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s = [boxes.s];
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[vals, I] = sort(s);
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boxes = boxes(I(end-29999:end));
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end
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N = min(30000,N);
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x1 = zeros(N,1);
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y1 = zeros(N,1);
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x2 = zeros(N,1);
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y2 = zeros(N,1);
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area = zeros(N,1);
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for nb = 1:N
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if numpart==1
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x1(nb) = boxes(nb).xy(1);
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y1(nb) = boxes(nb).xy(2);
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x2(nb) = boxes(nb).xy(3);
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y2(nb) = boxes(nb).xy(4);
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else
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x1(nb) = min(boxes(nb).xy(:,1));
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y1(nb) = min(boxes(nb).xy(:,2));
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x2(nb) = max(boxes(nb).xy(:,3));
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y2(nb) = max(boxes(nb).xy(:,4));
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end
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area(nb) = (x2(nb)-x1(nb)+1) * (y2(nb)-y1(nb)+1);
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end
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s = [boxes.s];
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[vals, I] = sort(s);
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pick = [];
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while ~isempty(I)
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last = length(I);
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i = I(last);
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pick = [pick; i];
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suppress = [last];
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j = I(1:last-1);
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xx1 = max(x1(i), x1(j));
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yy1 = max(y1(i), y1(j));
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xx2 = min(x2(i), x2(j));
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yy2 = min(y2(i), y2(j));
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w = xx2-xx1+1;
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w(w<0) = 0;
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h = yy2-yy1+1;
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h(h<0) = 0;
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inter = w.*h;
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o1 = inter ./ area(j);
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o2 = inter / area(i);
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idx = (find((o1 > overlap) | (o2 > overlap)));
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suppress = [suppress ; idx];
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I(suppress) = [];
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end
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top = boxes(pick);
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end
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