필터 지우기
필터 지우기

Non maximal suppression in object detection

조회 수: 4 (최근 30일)
FARHAD
FARHAD 2014년 7월 4일
댓글: Image Analyst 2014년 7월 4일
Hi, what is the difference between y2 = boxes(:,4) and s = boxes(:,end) in the following nms code?
function top = nms(boxes, overlap) % top = nms_fast(boxes, overlap) % Non-maximum suppression. (FAST VERSION) % Greedily select high-scoring detections and skip detections % that are significantly covered by a previously selected % detection. % NOTE: This is adapted from Pedro Felzenszwalb's version (nms.m), % but an inner loop has been eliminated to significantly speed it % up in the case of a large number of boxes % Tomasz Malisiewicz (<mailto:tomasz@cmu.edu tomasz@cmu.edu>)
if isempty(boxes) top = []; return; end
x1 = boxes(:,1); y1 = boxes(:,2); x2 = boxes(:,3); y2 = boxes(:,4); s = boxes(:,end);
area = (x2-x1+1) .* (y2-y1+1); [vals, I] = sort(s);
pick = s*0; counter = 1; while ~isempty(I)
last = length(I);
i = I(last);
pick(counter) = i;
counter = counter + 1;
xx1 = max(x1(i), x1(I(1:last-1)));
yy1 = max(y1(i), y1(I(1:last-1)));
xx2 = min(x2(i), x2(I(1:last-1)));
yy2 = min(y2(i), y2(I(1:last-1)));
w = max(0.0, xx2-xx1+1);
h = max(0.0, yy2-yy1+1);
o = w.*h ./ area(I(1:last-1));
I([last; find(o>overlap)]) = [];
end
pick = pick(1:(counter-1)); top = boxes(pick,:);

답변 (0개)

카테고리

Help CenterFile Exchange에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by