VGG19 net Error
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mohd akmal masud
le 13 Juil 2022
Commenté : mohd akmal masud
le 13 Juil 2022
Dear all, I was run the VGG19 using apps designer. But I got error.
**The workspace of data as attached. (matlab.mat)
Anyone can help me?
Because actually I dont understand what fullyconnected function
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;
dsTrain = transform(patchds,@augment3dPatch);
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;
layers = [
image3dInputLayer([128 128 64 1],"Name","image3dinput")
convolution3dLayer([3 3 3],32,"Name","conv3d_1","Padding","same")
reluLayer("Name","relu_1")
convolution3dLayer([3 3 3],32,"Name","conv3d_2","Padding","same")
reluLayer("Name","relu_2")
maxPooling3dLayer([5 5 5],"Name","maxpool3d_1","Padding","same")
convolution3dLayer([3 3 3],32,"Name","conv3d_3","Padding","same")
reluLayer("Name","relu_3")
convolution3dLayer([3 3 3],32,"Name","conv3d_4","Padding","same")
reluLayer("Name","relu_4")
maxPooling3dLayer([5 5 5],"Name","maxpool3d_2","Padding","same")
convolution3dLayer([3 3 3],32,"Name","conv3d_5","Padding","same")
reluLayer("Name","relu_5")
convolution3dLayer([3 3 3],32,"Name","conv3d_6","Padding","same")
reluLayer("Name","relu_6")
convolution3dLayer([3 3 3],32,"Name","conv3d_7","Padding","same")
reluLayer("Name","relu_7")
convolution3dLayer([3 3 3],32,"Name","conv3d_8","Padding","same")
reluLayer("Name","relu_8")
maxPooling3dLayer([5 5 5],"Name","maxpool3d_3","Padding","same")
convolution3dLayer([3 3 3],32,"Name","conv3d_9","Padding","same")
reluLayer("Name","relu_9")
convolution3dLayer([3 3 3],32,"Name","conv3d_10","Padding","same")
reluLayer("Name","relu_10")
convolution3dLayer([3 3 3],32,"Name","conv3d_11","Padding","same")
reluLayer("Name","relu_11")
convolution3dLayer([3 3 3],32,"Name","conv3d_12","Padding","same")
reluLayer("Name","relu_12")
maxPooling3dLayer([5 5 5],"Name","maxpool3d_4","Padding","same")
convolution3dLayer([3 3 3],32,"Name","conv3d_13","Padding","same")
reluLayer("Name","relu_13")
convolution3dLayer([3 3 3],32,"Name","conv3d_14","Padding","same")
reluLayer("Name","relu_14")
convolution3dLayer([3 3 3],32,"Name","conv3d_15","Padding","same")
reluLayer("Name","relu_15")
convolution3dLayer([3 3 3],32,"Name","conv3d_16","Padding","same")
reluLayer("Name","relu_16")
maxPooling3dLayer([5 5 5],"Name","maxpool3d_5","Padding","same")
fullyConnectedLayer(10,"Name","fc_3")
reluLayer("Name","relu_18")
dropoutLayer(0.5,"Name","dropout_1")
fullyConnectedLayer(10,"Name","fc_2")
reluLayer("Name","relu_17")
dropoutLayer(0.5,"Name","dropout_2")
fullyConnectedLayer(10,"Name","fc_1")
softmaxLayer("Name","softmax")
pixelClassificationLayer("Name","pixel-class")];
plot(layerGraph(layers));
ERROR
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Réponse acceptée
Walter Roberson
le 13 Juil 2022
classNames = ["background", "tumor"];
That is only two classes
fullyConnectedLayer(10,"Name","fc_1")
You are asking for 10 connections on the output layer, but 10 connections would be what you would use for training 10 classes. The number of connections on the output layer should be the same as the number of classes.
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