How to know the data set after augment?

Question

mohd akmal masud 2023-2-26

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1918960-how-to-know-the-data-set-after-augment

评论： Walter Roberson 2023-2-26

Hello everyone,

I was developed the coding for augmented my data for trainning process using 3D U-Net network. But I dont know how to find the addition data after augment? Because I checked in workspace but not found. Below is my coding, the function @augment3dPatch is for augment data

Also I attached the function for running my coding.

The data for image training (ImagesTr), groundtruthlabeling training (LabelsTr), image validation (imagesVal ), groundtruth validation (labelsVal) can download thru this link https://drive.google.com/drive/folders/176Ffn3d-61HFYiK7ywFFD9rRuzmXnN26?usp=share_link

I try this command to view in workspace how much my augemnted data (as in this article (as attached) in page 7), but not see.

imgOut = read(dsTrain);
whos

clc
clear all
close all
%testDataimages
DATASetDir = fullfile('C:\Users\Akmal\Desktop\NEW 3D U NET');
IMAGEDir = fullfile(DATASetDir,'ImagesTr');
volReader = @(x) matRead(x);
volds = imageDatastore(IMAGEDir, ...
    'FileExtensions','.mat','ReadFcn', volReader);
% labelReader = @(x) matread(x);
matFileDir = fullfile('C:\Users\Akmal\Desktop\NEW 3D U NET\LabelsTr');
classNames = ["background", "tumor"];
pixelLabelID = [0 1];
% pxds = (LabelDirr,classNames,pixelLabelID, ...
%     'FileExtensions','.mat','ReadFcn',labelReader);
pxds = pixelLabelDatastore(matFileDir,classNames,pixelLabelID, ...
    'FileExtensions','.mat','ReadFcn',@matRead);
volume = preview(volds);
label = preview(pxds);
up1 = uipanel;
h = labelvolshow(label, volume, 'Parent', up1);
h.CameraPosition = [4 2 -3.5];
h.LabelVisibility(1) = 0;
h.VolumeThreshold = 0.5;
volumeViewer(volume, label)
patchSize = [128 128 64];
patchPerImage = 16;
miniBatchSize = 8;
patchds = randomPatchExtractionDatastore(volds,pxds,patchSize, ...
    'PatchesPerImage',patchPerImage);
patchds.MiniBatchSize = miniBatchSize;
%% AUGMENT DATA FOR TRAINING
dsTrain = transform(patchds,@augment3dPatch);
imgOut = read(dsTrain);
whos
volLocVal = fullfile('C:\Users\Akmal\Desktop\NEW 3D U NET\imagesVal');
voldsVal = imageDatastore(volLocVal, ...
    'FileExtensions','.mat','ReadFcn',volReader);
lblLocVal = fullfile('C:\Users\Akmal\Desktop\NEW 3D U NET\labelsVal');
pxdsVal = pixelLabelDatastore(lblLocVal,classNames,pixelLabelID, ...
    'FileExtensions','.mat','ReadFcn',volReader);
dsVal = randomPatchExtractionDatastore(voldsVal,pxdsVal,patchSize, ...
    'PatchesPerImage',patchPerImage);
dsVal.MiniBatchSize = miniBatchSize;
%% AUGMENT DATA FOR VALIDATION
dsVal = transform(patchds,@augment3dPatch); 
inputSize = [128 128 64];
numClasses = 2;
encoderDepth = 2;
lgraph = unet3dLayers(inputSize,numClasses,'EncoderDepth',encoderDepth,'NumFirstEncoderFilters',16) 
figure,plot(lgraph);