function?[train_xtrain_ytest_xtest_y]?=dataSet（）

%————————————————————
%???????????????卷積神經(jīng)網(wǎng)絡(luò)
%輸入：訓練集、測試集字符圖片、訓練集標簽
%輸出：卷積網(wǎng)絡(luò)結(jié)構(gòu)、測試標簽
%版本：0.0
%時間：4.23
%————————————————————

%%?構(gòu)造訓練集
TrainData=[];
Trainlabel=[];
path=pwd;
for?i=0:39
srcDir=‘\tf_car_license_dataset\train_images\training-set\‘;%獲得選擇的文件夾
srcDir=strcat（srcDirnum2str（i））;
srcDir=strcat（pathsrcDir）;
cd（srcDir）;
allnames=struct2cell（dir（‘*.bmp‘））;?%只處理8位的bmp文件
[~len]=size（allnames）;?%獲得bmp文件的個數(shù)
for?ii=1:len
%逐次取出文件
????name=allnames{1ii};
????img_gray=imread（name）;?%讀取文件
%????thresh=graythresh（img_gray）;??%二值化
%???img_bw=im2bw（img_gray0.05）;
%????img_bw=imresize（img_bw[32?32]）;
????img_gray=imresize（img_gray[32?32]）;
????img_gray=histeq（img_gray）;
????traindata（::ii）=img_gray;
????%然后在此處添加你的圖像處理程序即可
end
TrainData=cat（3TrainDatatraindata）;
traindata=[];????%初始化
trainlabel=[];
trainlabel（11:len）=i;
Trainlabel=[Trainlabel?trainlabel];?????%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%5
end
[~n]=size（Trainlabel）;
temp=zeros（40n）;
for?i=1:n
????temp（Trainlabel（i）+1i）=1;
end
Trainlabel_1=Trainlabel;
Trainlabel_2=temp;

%--------------------------------------------------------------------------
train_y_1?=?Trainlabel_1;
train_y_2=Trainlabel_2;
kk?=?randperm（size（TrainData3））;???????????????????????????????????????????????????%?打亂訓練樣本順序

figure;
for?I=1:25
????i?=?kk（I）;
????Y1?=?TrainData（::i）;??????????????????????????????????????%?特別注意:?原圖為僅有0255的二值化圖像
????Y2?=?Y1;?????????????????????????????????????????????????????%?原始數(shù)據(jù)按C語言行方向存儲這里顯示需要轉(zhuǎn)置
????t?=?train_y_1（i）;?????????????????????????????????????%?目標值依次從0-9正交編碼
????subplot（55I）;?imshow（uint8（Y2））;?title（num2str（t））;
end

[~n]=size（kk）;
test_y=train_y_2（:kk（1:25））;
test_x=TrainData（::kk（1:25））;
TrainData（::kk（1:25））=[];
train_y_2（:kk（1:25））=[];
train_x=TrainData;
train_y=train_y_2;
path1=strcat（path‘\data\‘）;
cd（path1）
save?trainData5_2?train_x?train_y
save?testData5_2?test_x?test_y
cd（path）
end

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件??????23599??2018-05-03?17:23??車牌識別5-7\data\img_lp.mat

?????文件?????981778??2018-05-02?18:06??車牌識別5-7\data\Net.mat

?????文件?????953124??2018-05-02?16:40??車牌識別5-7\data\Net0_24.mat

?????文件????2096574??2018-05-02?23:46??車牌識別5-7\data\Net5_2.mat

?????文件????2122731??2018-05-03?16:03??車牌識別5-7\data\Net5_3.mat

?????文件????2082535??2018-05-03?18:59??車牌識別5-7\data\Net5_3_1.mat

?????文件?????981778??2018-05-02?18:06??車牌識別5-7\data\Net_0.mat

?????文件????1999873??2018-05-02?22:26??車牌識別5-7\data\Net_bw.mat

?????文件??????16993??2018-05-02?17:33??車牌識別5-7\data\testData.mat

?????文件???????9355??2018-05-03?18:31??車牌識別5-7\data\testData5_2.mat

?????文件???????1781??2018-05-02?21:37??車牌識別5-7\data\testData_bw.mat

?????文件????9828410??2018-05-02?17:33??車牌識別5-7\data\trainData.mat

?????文件????1893513??2018-05-03?18:31??車牌識別5-7\data\trainData5_2.mat

?????文件?????939156??2018-05-02?21:37??車牌識別5-7\data\trainData_bw.mat

?????文件???????2234??2018-05-03?18:28??車牌識別5-7\dataSet.m

?????文件???????8563??2016-01-04?20:39??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnnbp.m

?????文件??????10044??2016-01-04?20:48??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnnbp2.m

?????文件???????4646??2015-12-27?18:57??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnnff.m

?????文件???????5190??2016-01-04?20:28??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnnff2.m

?????文件???????2385??2016-01-04?20:46??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnngradmean.m

?????文件???????2384??2016-01-04?20:45??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnngradzero.m

?????文件???????4995??2015-12-27?17:13??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnninit.m

?????文件????????622??2015-12-22?17:14??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnntest.m

?????文件????????817??2015-12-23?19:25??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnntest2.m

?????文件???????2078??2015-12-23?20:55??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnntrain.m

?????文件???????2371??2016-01-04?20:52??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnntrain2.m

?????文件???????3139??2015-12-26?17:02??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\cnnupdate.m

?????文件?????????53??2015-12-26?15:33??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\contents.m

?????文件????????623??2015-12-22?19:20??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\down.m

?????文件????????116??2015-12-22?11:10??車牌識別5-7\DeepLearnToolbox_CNN_lzbV3.0\dy.m

............此處省略5927個文件信息