matlab - MATLAB - 'lib\sift\bin\siftfeat' 未被识别为内部或外部命令、可运行程序或批处理文件

Question

% thresholds used for g2NN test
dr2 = 0.5;

extract_feat = 1; % by default extract SIFT features using Hess' code

if(exist('filesift','var') && ~strcmp(filesift,'nofile'))
    extract_feat = 0; 
end

tic; % to calculate proc time
%C:\python36\Disso\sift-forensic-master
if extract_feat
    sift_bin = fullfile('lib','sift','bin','siftfeat');   % e.g. 'lib/sift/bin/siftfeat' in linux
    [pf,nf,ef] = fileparts(filename);
    desc_file = [fullfile(pf,nf) '.txt'];

    im1=imread(filename);
    if (size(im1,1)<=1000 && size(im1,2)<=1000)
        status1 = system([sift_bin ' -x -o ' desc_file ' ' filename]);
    else
        status1 = system([sift_bin ' -d -x -o ' desc_file ' ' filename]);
    end

    if status1 ~=0 
        error('error calling executables');
    end

    % import sift descriptors
    [num, locs, descs] = import_sift(desc_file);
    system(['rm ' desc_file]);
else
    % import sift descriptors
    [num, locs, descs] = import_sift(filesift);
end

if (num==0)
    p1=[];
    p2=[];
    tp=[];
else
    p1=[];
    p2=[];
    num=0;

    % load data
    loc1 = locs(:,1:2);
    %scale1 = locs(:,3);
    %ori1 = locs(:,4);
    des1 = descs;

    % descriptor are normalized with norm-2
    if (size(des1,1)<15000)
        des1 = des1./repmat(sqrt(diag(des1*des1')),1,size(des1,2));
    else
        des1_norm = des1; 
        for j= 1 : size(des1,2)
            des1_j = des1_norm(j,:);
            des1_norm(j,:) = des1_j/norm(des1_j,2); 
        end
        des1 = des1_norm;
    end

    % sift matching
    des2t = des1';   % precompute matrix transpose
    if size(des1,1) > 1 % start the matching procedure iff there are at least 2 points
        for i = 1 : size(des1,1)
            dotprods = des1(i,:) * des2t;        % Computes vector of dot products
            [vals,indx] = sort(acos(dotprods));  % Take inverse cosine and sort results

            j=2;
            while vals(j)<dr2* vals(j+1) 
                j=j+1;
            end
            for k = 2 : j-1
                match(i) = indx(k); 
                if pdist([loc1(i,1) loc1(i,2); loc1(match(i),1) loc1(match(i),2)]) >10  
                    p1 = [p1 [loc1(i,2); loc1(i,1); 1]];
                    p2 = [p2 [loc1(match(i),2); loc1(match(i),1); 1]];
                    num=num+1;
                end
            end
        end
    end

    tp = toc; % processing time (features + matching)

    if size(p1,1)==0
        fprintf('Found %d matches.\n', num);
    else
        p=[p1(1:2,:)' p2(1:2,:)'];
        p=unique(p,'rows');
        p1=[p(:,1:2)'; ones(1,size(p,1))];
        p2=[p(:,3:4)'; ones(1,size(p,1))];
        num=size(p1,2);
        fprintf('Found %d matches.\n', num);
    end

end

大家好，我已经上传了上面用于复制移动伪造检测的代码。在运行代码时，我遇到了几个错误。我还上传了我无法修复的错误片段。我还联系了编写此代码的人，他回复我以下消息：“您需要根据您的操作系统编译文件夹 bin/sift 中的第三方库。”。
我希望在这里找到解决方案。

错误片段

标签： matlab