Creating .mat from images

1 次查看（过去 30 天）

S C.Carl 2022-6-11

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1738360-creating-mat-from-images

编辑： S C.Carl 2022-6-13

I want to run the following codes.

load('DatasColor_38.mat','DATA'); % to load the dataset
% the information to split data between training and test set
DIV = DATA{3};
DIM1 = DATA{4};
DIM2 = DATA{5};
lab = DATA{2}; % label
NX = DATA{1}; % cell array that stores the image
fold=1;  % in this example only the first fold has been used
trainPattern = (DIV(fold, 1:DIM1));       % id of the training patterns
testPattern = (DIV(fold, DIM1+1:DIM2));   % id of the test patterns
y = lab(DIV(fold, 1:DIM1));                % label of the training set
labelTE = lab(DIV(fold, DIM1+1:DIM2));  % label of the test set
numClasses = max(y);
siz=[224 224];  %  input size of ResNet50
% build training set
clear nome trainingImages
for pattern = 1:DIM1                % for all the images 
    IM = NX{DIV(fold,pattern)};     % image
    IM = imresize(IM,[siz(1) siz(2)]);
    trainingImages(:,:,:,pattern) = IM;
end
DIM = length(y);  % number of images of the training set
% buid testing set
for pattern = ceil(DIM1)+1:ceil(DIM2)
    IM = NX{DIV(fold,pattern)};
    IM = imresize(IM,[siz(1) siz(2)]);
    testImages(:,:,:,pattern-ceil(DIM1)) = uint8(IM);
end

In the above codes, the value of DIM is 880, and trainingImages : 224 x 224 x 3 x 880 uint8 array

The DATA in the above code is => DATA: 1x5 cell array = {1x1320 cell} {[111111.....]} {3x1320 double} {880} {[1320]} )

The output of whos(matfile('DatasColor_38.mat')) is

>> whos(matfile('DatasColor_38.mat'))

Name Size Bytes Class Attributes

DATA 1x5 40590638 cell

But, I could not create the .mat file from our 10000 images which will be classified into 7 classes.

Could you please write the codes that can construct the .mat file (from 10000 images to classify into 7 classes) to use in the above codes

These codes can create a .mat file called "db2.mat". However, it has a different format from the "DatasColor_38.mat".

So, I can not use it in the above codes. Please help :((

myFolder = 'C:\Users\Desktop\IMG_Folder\nv';
filePattern = fullfile(myFolder, '*.jpg');
jpegFiles = dir(filePattern);
DATA = cell(1,10000);
for k = 1:length(jpegFiles)
    baseFileName = jpegFiles(k).name;
    fullFileName = fullfile(myFolder, baseFileName);
    fprintf(1, 'Now reading %s\n', fullFileName);
    imageArray= imread(fullFileName);
    DATA{k} = imageArray;
end
save db2.mat DATA;

11 个评论
显示 9更早的评论隐藏 9更早的评论

Image Analyst 2022-6-12

The usual way, at at least one of the most common ways, is to put all yhour images of a certain class into a folder named for that class. Then you can use the labels = foldernames option when you setup the imageDatastore which is used to train the network.

S C.Carl 2022-6-13