How to read image one by one from folder and make prediction save it in CSV format

Question

hammad younas 2021-11-30

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1599324-how-to-read-image-one-by-one-from-folder-and-make-prediction-save-it-in-csv-format

评论： hammad younas 2021-12-1

在 MATLAB Online 中打开

I want to read image automatically from folder one by one and pass it to trained model one by one after some delay

I am implement the following code using GUI (push button) but it take input image from user and print the prediction

I want to make it automatically take all images from folder and processed one by one

function pushbutton1_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global ImageFile filepath
[filename, filepath] = uigetfile({'*.*';'*.jpg';'*.png';'*.bmp'},'Select Image File');    
fullname = [filepath filename];
      
  % ----now read that image (fullname)
  I = imread(fullname);
  I = repmat(I,[1 1 3]);  
  % ----now display that image (fullname)
  %resizePos = get(handles.axes1,'Position');
  %ImageFile = imresize(ImageFile, [resizePos(3) resizePos(3)]); 
 
  axes(handles.axes1);
  %imagesc(ImageFile);
  imshow(I)
  
  % ----clear axes scale
  axis off
 
    net = load('11ClassesResnet.mat')
    net=net.trainednet
    inputSize = net.Layers(1).InputSize;
    I = imresize(I,inputSize(1:2));
    %-----------------------Test-------------------
    YPred_Test = classify(net,I)
    n = string(YPred_Test(1));
    set(handles.edit1,'string',n);

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Answer 1

Hiro Yoshino 2021-11-30

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1599324-how-to-read-image-one-by-one-from-folder-and-make-prediction-save-it-in-csv-format#answer_843779

I would use "imageDatastore".

This data format is dedicated for that kind of problem.

https://www.mathworks.com/help/matlab/ref/matlab.io.datastore.imagedatastore.html?searchHighlight=imageDatastore&s_tid=srchtitle_imageDatastore_1

Use is quite straight foward: 1) point the folder that contains your images 2) read(imds) return a pointer to an image one by one

You can also extract the path information from this type of variable.

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hammad younas 2021-11-30

在 MATLAB Online 中打开

@Hiro i am using the following code it work but it read ony png extenstion i want to read all files in folder.

and process one image after 1 second

path_directory='C:\Users\ASUS\Documents\MATLAB\Examples\R2021b\phased\ModClassificationOfRadarAndCommSignalsExample\Dataset\Dataset'; % 'Folder name'
   original_files=dir([path_directory '/*.png']); 
   
  % original_files=dir( fullfile(path_directory ,['*' ext]) );
   for k=1:length(original_files)
      filename=[path_directory '/' original_files(k).name];
      I=imread(filename);
      % Image read is done
    %%Image Operation as per your work
  
    % process x
  
      
  % ----now read that image (fullname)
  %I = imread(fullname);
  I = repmat(I,[1 1 3]);  
  % ----now display that image (fullname)
  %resizePos = get(handles.axes1,'Position');
  %ImageFile = imresize(ImageFile, [resizePos(3) resizePos(3)]); 
 
  axes(handles.axes1);
  %imagesc(ImageFile);
  imshow(I)
  
  % ----clear axes scale
  axis off
 
    net = load('11ClassesResnet.mat')
    net=net.trainednet
    inputSize = net.Layers(1).InputSize;
    I = imresize(I,inputSize(1:2));
    %-----------------------Test-------------------
    YPred_Test = classify(net,I)
    n = string(YPred_Test(1));
    set(handles.edit1,'string',n);
   end

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Answer 2

Walter Roberson 2021-11-30

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1599324-how-to-read-image-one-by-one-from-folder-and-make-prediction-save-it-in-csv-format#answer_843804

在 MATLAB Online 中打开

    net = load('11ClassesResnet.mat')
    net=net.trainednet
    inputSize = net.Layers(1).InputSize;
    
path_directory='C:\Users\ASUS\Documents\MATLAB\Examples\R2021b\phased\ModClassificationOfRadarAndCommSignalsExample\Dataset\Dataset'; % 'Folder name'
original_files = dir(path_directory); 
original_files([original_files.isdir]) = [];  %remove . and .. and subfolders
   
  % original_files=dir( fullfile(path_directory ,['*' ext]) );
   for k=1:length(original_files)
       thisfile = original_files(k).name;
      filename = fullfile(original_files(k).folder, thisfile);
      try
        I = imread(filename);
      catch ME
          fprintf('File "%s" could not be read as an image\n', thisfile);
          continue;
      end
      % Image read is done
    %%Image Operation as per your work
  
    % process x
  
      
  % ----now read that image (fullname)
  %I = imread(fullname);
  I = repmat(I,[1 1 3]);  
  % ----now display that image (fullname)
  %resizePos = get(handles.axes1,'Position');
  %ImageFile = imresize(ImageFile, [resizePos(3) resizePos(3)]); 
 
  axes(handles.axes1);
  %imagesc(ImageFile);
  imshow(I)
  title(thisfile)
  
  t
  % ----clear axes scale
  axis off
 
    I = imresize(I,inputSize(1:2));
    %-----------------------Test-------------------
    YPred_Test = classify(net,I)
    n = string(YPred_Test(1));
    set(handles.edit1,'string',n);
    drawnow();
   end

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Walter Roberson 2021-11-30

编辑：Walter Roberson 2021-11-30

在 MATLAB Online 中打开

    net = load('11ClassesResnet.mat')
    net=net.trainednet
    inputSize = net.Layers(1).InputSize;
    
path_directory='C:\Users\ASUS\Documents\MATLAB\Examples\R2021b\phased\ModClassificationOfRadarAndCommSignalsExample\Dataset\Dataset'; % 'Folder name'
original_files = dir(path_directory); 
original_files([original_files.isdir]) = [];  %remove . and .. and subfolders
num_files = length(original_files);
Filename = {original_files.name}.';
Prediction = strings(num_files,1);
file_successful = false(num_files,1);
  % original_files=dir( fullfile(path_directory ,['*' ext]) );
   for k=1:length(original_files)
       thisfile = original_files(k).name;
      filename = fullfile(original_files(k).folder, thisfile);
      try
        I = imread(filename);
      catch ME
          fprintf('File "%s" could not be read as an image\n', thisfile);
          continue;
      end
      % Image read is done
    %%Image Operation as per your work
  
    % process x
  
      
  % ----now read that image (fullname)
  %I = imread(fullname);
  I = repmat(I,[1 1 3]);  
  % ----now display that image (fullname)
  %resizePos = get(handles.axes1,'Position');
  %ImageFile = imresize(ImageFile, [resizePos(3) resizePos(3)]); 
 
  axes(handles.axes1);
  %imagesc(ImageFile);
  imshow(I)
  title(thisfile)
  
  t
  % ----clear axes scale
  axis off
 
    I = imresize(I,inputSize(1:2));
    %-----------------------Test-------------------
    YPred_Test = classify(net,I);
    file_successful(k) = true;
    n = string(YPred_Test(1));
    Prediction = n;
    set(handles.edit1,'string',n);
    pause(0.5)
   end
   
   Filename = Filename(file_succesful);
   Prediction = Prediction(file_succesful);
   T = table(Filename, Prediction);
   writetable(T, 'Predictions.csv');

Walter Roberson 2021-11-30

在 MATLAB Online 中打开

I do not seem to find a copy of 11ClassResNet.mat anywhere.

The directory name you give appears to be associated with the example https://www.mathworks.com/help/phased/ug/modulation-classification-of-radar-and-communication-waveforms-using-deep-learning.html which is an example about signals not about images so I am not clear as to what you are doing.

Ah... the line

Prediction = n;

should be

Prediction(k) = n;

hammad younas 2021-12-1

bascially the code save the signal in image form. and trained the squeezenet model on it

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How to read image one by one from folder and make prediction save it in CSV format

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How to read image one by one from folder and make prediction save it in CSV format

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