DPM检测模型 训练自己的数据集 读取接口修改

（转载请注明作者和出处 楼燚(yì)航的blog ：http://www.cnblogs.com/louyihang-loves-baiyan/ 未经允许请勿用于商业用途）

本文主要是针对上一篇基于DPM的VOC-release5的版本，matlab的版本进行训练。
训练自己的数据集主要是修改pascal_data这个文件，这个是负责读取参与训练的正负样本，以下是我的的读取文件，其中我的正样本的数据格式为

1.jpg 2 x1 y1 x2 y2 x2_1 y2_1 x2_2 y2_2 

图片路径之后的数字代表其中的正样本个数，目前仍然以训练车样本为主：
如果是自己新建了个文件需要在pascal_train中修改相应的读取函数接口
以下是经过修改的pascal_data：

function [pos, neg, impos] = pascal_data(cls, year)%这里为了保持一致没有改变，读者也可以自己修改% Get training data from my own dataset%   [pos, neg, impos] = pascal_data(cls, year)%% Return values%   pos     Each positive example on its own%   neg     Each negative image on its own%   impos   Each positive image with a list of foreground boxes%基地址路径%added by yihanglou  using my own img and txtinfoPosImageFile = '/home/louyihang/Workspace/Dataset/DPM_TrainingData/ImageList_Version_S_GT.txt';NegImageFile = '/home/louyihang/Workspace/Dataset/DPM_TrainingData/Neg_Imagelist.txt';BasePath = '/home/louyihang/Workspace/Dataset/DPM_TrainingData';pos      = [];impos    = [];numpos   = 0;numimpos = 0;dataid   = 0;fin = fopen(PosImageFile,'r');%打开正样本文件now = 1;while ~feof(fin)    line = fgetl(fin);    S = regexp(line,' ','split');    count = str2num(S{2});    fprintf('%s: parsing positives (%s): %d\n', ...             cls, S{1}, now);    now = now + 1;    for i = 1:count;%挨个读取正样本        numpos = numpos + 1;        dataid = dataid + 1;        bbox = [str2num(S{i*4-1}),str2num(S{i*4}),str2num(S{i*4+1}),str2num(S{i*4+2})];                pos(numpos).im      = [BasePath '/' S{1}]; %拼接地址        pos(numpos).x1      = bbox(1);        pos(numpos).y1      = bbox(2);        pos(numpos).x2      = bbox(3);        pos(numpos).y2      = bbox(4);        pos(numpos).boxes   = bbox;        pos(numpos).flip    = false;        pos(numpos).trunc   = 0;%1 represent incomplete objects, 0 is complete        pos(numpos).dataids = dataid;        pos(numpos).sizes   = (bbox(3)-bbox(1)+1)*(bbox(4)-bbox(2)+1);                img = imread([BasePath '/' S{1}]);        [height, width, depth] = size(img);%由于我的样本里没有标定大小所以我要读取以下图像尺寸才能翻转                % Create flipped example 创建翻转的正样本        numpos  = numpos + 1;        dataid  = dataid + 1;        oldx1   = bbox(1);        oldx2   = bbox(3);        bbox(1) = width - oldx2 + 1;        bbox(3) = width - oldx1 + 1;                pos(numpos).im      = [BasePath '/' S{1}];        pos(numpos).x1      = bbox(1);        pos(numpos).y1      = bbox(2);        pos(numpos).x2      = bbox(3);        pos(numpos).y2      = bbox(4);        pos(numpos).boxes   = bbox;        pos(numpos).flip    = true;        pos(numpos).trunc   = 0;% to make operation simple        pos(numpos).dataids = dataid;        pos(numpos).sizes   = (bbox(3)-bbox(1)+1)*(bbox(4)-bbox(2)+1);%获得图像面积大小               end        % Create one entry per foreground image in the impos array，这里跟pos是一样的，相当于副本    numimpos                = numimpos + 1;    impos(numimpos).im      = [BasePath '/' S{1}];    impos(numimpos).boxes   = zeros(count, 4);    impos(numimpos).dataids = zeros(count, 1);    impos(numimpos).sizes   = zeros(count, 1);    impos(numimpos).flip    = false;        for j = 1:count        dataid = dataid + 1;        bbox   = [str2num(S{j*4-1}),str2num(S{j*4}),str2num(S{j*4+1}),str2num(S{j*4+2})];                impos(numimpos).boxes(j,:) = bbox;        impos(numimpos).dataids(j) = dataid;        impos(numimpos).sizes(j)   = (bbox(3)-bbox(1)+1)*(bbox(4)-bbox(2)+1);    end             img = imread([BasePath '/' S{1}]);    [height, width, depth] = size(img);         % Create flipped example    numimpos                = numimpos + 1;    impos(numimpos).im      = [BasePath '/' S{1}];    impos(numimpos).boxes   = zeros(count, 4);    impos(numimpos).dataids = zeros(count, 1);    impos(numimpos).sizes   = zeros(count, 1);    impos(numimpos).flip    = true;    unflipped_boxes         = impos(numimpos-1).boxes;            for j = 1:count    dataid  = dataid + 1;    bbox    = unflipped_boxes(j,:);    oldx1   = bbox(1);    oldx2   = bbox(3);    bbox(1) = width - oldx2 + 1;    bbox(3) = width - oldx1 + 1;    impos(numimpos).boxes(j,:) = bbox;    impos(numimpos).dataids(j) = dataid;    impos(numimpos).sizes(j)   = (bbox(3)-bbox(1)+1)*(bbox(4)-bbox(2)+1);    endendfclose(fin);% Negative examples from the background datasetfin2 = fopen(NegImageFile,'r');neg    = [];numneg = 0;negnow = 0;while ~feof(fin2)%这里是循环读取副样本     line = fgetl(fin2);     fprintf('%s: parsing Negtives (%s): %d\n', ...                   cls, line, negnow);          negnow             = negnow +1;     dataid             = dataid + 1;     numneg             = numneg+1;     neg(numneg).im     = [BasePath '/' line];     disp(neg(numneg).im);     neg(numneg).flip   = false;     neg(numneg).dataid = dataid; end  fclose(fin2);%存储为mat文件 包含训练样本的信息 save([cachedir cls '_' dataset_fg '_' year], 'pos', 'neg', 'impos');