VGG19 net Error
13 views (last 30 days)
Show older comments
mohd akmal masud
on 13 Jul 2022
Commented: mohd akmal masud
on 13 Jul 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
0 Comments
Accepted Answer
Walter Roberson
on 13 Jul 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.
More Answers (0)
See Also
Categories
Find more on Image Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!