How to concatenate video frames into single matrix for cnn?

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I have multiple videos. Each video has different number of frames. I am trying to combine all the frames of all videos for training of CNN. But I faced errors.
  3 Comments
Shilpa Sonawane
Shilpa Sonawane on 10 Jul 2022
clear all;
close all;
clc;
global acnt bcnt ccnt dcnt ecnt fcnt gcnt hcnt icnt jcnt kcnt lcnt mcnt;
global ncnt ocnt pcnt qcnt rcnt scnt tcnt ucnt vcnt wcnt xcnt ycnt zcnt;
acnt=0,bcnt=0,ccnt=0,dcnt=0,ecnt=0,fcnt=0,gcnt=0,hcnt=0,icnt=0,jcnt=0,kcnt=0, lcnt=0, mcnt=0, ...
ncnt=0, ocnt=0, pcnt=0, qcnt=0, rcnt=0, scnt=0, tcnt=0,ucnt=0,vcnt=0,wcnt=0,xcnt=0,ycnt=0,zcnt=0;
global acntr bcntr ccntr dcntr ecntr fcntr gcntr hcntr icntr jcntr kcntr lcntr mcntr;
global ncntr ocntr pcntr qcntr rcntr scntr tcntr ucntr vcntr wcntr xcntr ycntr zcntr;
acntr=0,bcntr=0,ccntr=0,dcntr=0,ecntr=0,fcntr=0,gcntr=0,hcntr=0,icntr=0,jcntr=0,kcntr=0, lcntr=0, mcntr=0, ...
ncntr=0, ocntr=0, pcntr=0, qcntr=0, rcntr=0, scntr=0, tcntr=0,ucntr=0,vcntr=0,wcntr=0,xcntr=0,ycntr=0,zcntr=0;
idx=1;
index2=1;
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'trainsp3_U1.avi';'trainsp3_U2.avi';'trainsp3_U3.avi';'trainsp3_U4.avi';'trainsp3_U5.avi';'trainsp3_U6.avi';'trainsp3_U7.avi'; ...
'trainsp4_U1.avi';'trainsp4_U2.avi';'trainsp4_U3.avi';'trainsp4_U4.avi';'trainsp4_U5.avi';'trainsp4_U6.avi';'trainsp4_U7.avi'; ...
'trainsp5_U1.avi';'trainsp5_U2.avi';'trainsp5_U3.avi';'trainsp5_U4.avi';'trainsp5_U5.avi';'trainsp5_U6.avi';'trainsp5_U7.avi'; ...
'trainsp1_V1.avi';'trainsp1_V2.avi';'trainsp1_V3.avi';'trainsp1_V4.avi';'trainsp1_V5.avi';'trainsp1_V6.avi';'trainsp1_V7.avi'; ...
'trainsp2_V1.avi';'trainsp2_V2.avi';'trainsp2_V3.avi';'trainsp2_V4.avi';'trainsp2_V5.avi';'trainsp2_V6.avi';'trainsp2_V7.avi'; ...
'trainsp3_V1.avi';'trainsp3_V2.avi';'trainsp3_V3.avi';'trainsp3_V4.avi';'trainsp3_V5.avi';'trainsp3_V6.avi';'trainsp3_V7.avi'; ...
'trainsp4_V1.avi';'trainsp4_V2.avi';'trainsp4_V3.avi';'trainsp4_V4.avi';'trainsp4_V5.avi';'trainsp4_V6.avi';'trainsp4_V7.avi'; ...
'trainsp5_V1.avi';'trainsp5_V2.avi';'trainsp5_V3.avi';'trainsp5_V4.avi';'trainsp5_V5.avi';'trainsp5_V6.avi';'trainsp5_V7.avi'; ...
'trainsp1_W1.avi';'trainsp1_W2.avi';'trainsp1_W3.avi';'trainsp1_W4.avi';'trainsp1_W5.avi';'trainsp1_W6.avi';'trainsp1_W7.avi'; ...
'trainsp2_W1.avi';'trainsp2_W2.avi';'trainsp2_W3.avi';'trainsp2_W4.avi';'trainsp2_W5.avi';'trainsp2_W6.avi';'trainsp2_W7.avi'; ...
'trainsp3_W1.avi';'trainsp3_W2.avi';'trainsp3_W3.avi';'trainsp3_W4.avi';'trainsp3_W5.avi';'trainsp3_W6.avi';'trainsp3_W7.avi'; ...
'trainsp4_W1.avi';'trainsp4_W2.avi';'trainsp4_W3.avi';'trainsp4_W4.avi';'trainsp4_W5.avi';'trainsp4_W6.avi';'trainsp4_W7.avi'; ...
'trainsp5_W1.avi';'trainsp5_W2.avi';'trainsp5_W3.avi';'trainsp5_W4.avi';'trainsp5_W5.avi';'trainsp5_W6.avi';'trainsp5_W7.avi'; ...
'trainsp1_X1.avi';'trainsp1_X2.avi';'trainsp1_X3.avi';'trainsp1_X4.avi';'trainsp1_X5.avi';'trainsp1_X6.avi';'trainsp1_X7.avi'; ...
'trainsp2_X1.avi';'trainsp2_X2.avi';'trainsp2_X3.avi';'trainsp2_X4.avi';'trainsp2_X5.avi';'trainsp2_X6.avi';'trainsp2_X7.avi'; ...
'trainsp3_X1.avi';'trainsp3_X2.avi';'trainsp3_X3.avi';'trainsp3_X4.avi';'trainsp3_X5.avi';'trainsp3_X6.avi';'trainsp3_X7.avi'; ...
'trainsp4_X1.avi';'trainsp4_X2.avi';'trainsp4_X3.avi';'trainsp4_X4.avi';'trainsp4_X5.avi';'trainsp4_X6.avi';'trainsp4_X7.avi'; ...
'trainsp5_X1.avi';'trainsp5_X2.avi';'trainsp5_X3.avi';'trainsp5_X4.avi';'trainsp5_X5.avi';'trainsp5_X6.avi';'trainsp5_X7.avi'; ...
'trainsp1_Y1.avi';'trainsp1_Y2.avi';'trainsp1_Y3.avi';'trainsp1_Y4.avi';'trainsp1_Y5.avi';'trainsp1_Y6.avi';'trainsp1_Y7.avi'; ...
'trainsp2_Y1.avi';'trainsp2_Y2.avi';'trainsp2_Y3.avi';'trainsp2_Y4.avi';'trainsp2_Y5.avi';'trainsp2_Y6.avi';'trainsp2_Y7.avi'; ...
'trainsp3_Y1.avi';'trainsp3_Y2.avi';'trainsp3_Y3.avi';'trainsp3_Y4.avi';'trainsp3_Y5.avi';'trainsp3_Y6.avi';'trainsp3_Y7.avi'; ...
'trainsp4_Y1.avi';'trainsp4_Y2.avi';'trainsp4_Y3.avi';'trainsp4_Y4.avi';'trainsp4_Y5.avi';'trainsp4_Y6.avi';'trainsp4_Y7.avi'; ...
'trainsp5_Y1.avi';'trainsp5_Y2.avi';'trainsp5_Y3.avi';'trainsp5_Y4.avi';'trainsp5_Y5.avi';'trainsp5_Y6.avi';'trainsp5_Y7.avi'; ...
'trainsp1_Z1.avi';'trainsp1_Z2.avi';'trainsp1_Z3.avi';'trainsp1_Z4.avi';'trainsp1_Z5.avi';'trainsp1_Z6.avi';'trainsp1_Z7.avi'; ...
'trainsp2_Z1.avi';'trainsp2_Z2.avi';'trainsp2_Z3.avi';'trainsp2_Z4.avi';'trainsp2_Z5.avi';'trainsp2_Z6.avi';'trainsp2_Z7.avi'; ...
'trainsp3_Z1.avi';'trainsp3_Z2.avi';'trainsp3_Z3.avi';'trainsp3_Z4.avi';'trainsp3_Z5.avi';'trainsp3_Z6.avi';'trainsp3_Z7.avi'; ...
'trainsp4_Z1.avi';'trainsp4_Z2.avi';'trainsp4_Z3.avi';'trainsp4_Z4.avi';'trainsp4_Z5.avi';'trainsp4_Z6.avi';'trainsp4_Z7.avi'; ...
'trainsp5_Z1.avi';'trainsp5_Z2.avi';'trainsp5_Z3.avi';'trainsp5_Z4.avi';'trainsp5_Z5.avi';'trainsp5_Z6.avi';'trainsp5_Z7.avi'; ...
};
numFiles = numel(files);
for mm=1:numFiles
video = readVideo(files{mm});
all_vid{mm}=video;
fprintf("Reading file %d of %d...\n", mm, numFiles)
[s1 s2 s3 s4]=size(video);
chk_fn=files{mm};
chk_letter=chk_fn(10);
chk_letter_cnt_for_train_AVLETTERS(chk_letter,video) ;
for ii=1:s4
comb_video=video(:,:,:,ii);
all_frames(:,:,:,index2)=comb_video;
index2=index2+1;
end
end
%-
aa=[ones(1,acntr) 2*ones(1,bcntr) 3*ones(1,ccntr) 4*ones(1,dcntr) 5*ones(1,ecntr) 6*ones(1,fcntr) 7*ones(1,gcntr) 8*ones(1,hcntr) 9*ones(1,icntr) 10*ones(1,jcntr) ...
11*ones(1,kcntr) 12*ones(1,lcntr) 13*ones(1,mcntr) 14*ones(1,ncntr) 15*ones(1,ocntr) 16*ones(1,pcntr) 17*ones(1,qcntr) 18*ones(1,rcntr) 19*ones(1,scntr) 20*ones(1,tcntr) ...
21*ones(1,ucntr) 22*ones(1,vcntr) 23*ones(1,wcntr) 24*ones(1,xcntr) 25*ones(1,ycntr) 26*ones(1,zcntr)...
]';
sslbl= categorical(aa);
imageAugmenter = imageDataAugmenter;
imageSize = [38 62 3];
augimds = augmentedImageDatastore(imageSize,all_frames,sslbl,'DataAugmentation',imageAugmenter);
layers = [
imageInputLayer(imageSize)
convolution2dLayer(3,4,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,16,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,32,'Padding','same')
batchNormalizationLayer
reluLayer
fullyConnectedLayer(26)
softmaxLayer
classificationLayer];
%%%%
xval1=[5,6, 7, 36,37, 38,71,72,73,106, 107,108,141, 142, 143, 176, 177, 178, 211, 212, 213, 246, 247, 248, 281, 282, 283, 316, 317, 318, 351, 352, 353, ...
386,387,388,421,422,423,456,457,458,491,492,493,526,527,528,561,562,563,596,597,598,631,632,633,666,667,668,701,702,703,...
736,737,738,771,772,773,805,806,807,841,842,843];
index3=1;
for mm1=1:length(xval1)
ind_tst=xval1(mm1);
video1 = readVideo(files{ind_tst});
[s1 s2 s3 s4]=size(video1);
chk_fn=files{ind_tst};
chk_letter=chk_fn(10);
chk_letter_cnt_for_validation_AVLETTERS(chk_letter,video1);
for ii=1:s4
comb_video1=video1(:,:,:,ii);
XValidation(:,:,:,index3)=comb_video1;
index3=index3+1;
end
end
% -
bb=[ones(1,acnt) 2*ones(1,bcnt) 3*ones(1,ccnt) 4*ones(1,dcnt) 5*ones(1,ecnt) 6*ones(1,fcnt) 7*ones(1,gcnt) 8*ones(1,hcnt) 9*ones(1,icnt) 10*ones(1,jcnt) ...
11*ones(1,kcnt) 12*ones(1,lcnt) 13*ones(1,mcnt) 14*ones(1,ncnt) 15*ones(1,ocnt) 16*ones(1,pcnt) 17*ones(1,qcnt) 18*ones(1,rcnt) 19*ones(1,scnt) 20*ones(1,tcnt) ...
21*ones(1,ucnt) 22*ones(1,vcnt) 23*ones(1,wcnt) 24*ones(1,xcnt) 25*ones(1,ycnt) 26*ones(1,zcnt)]';
bb1= categorical(bb);
YValidation=bb1;
miniBatchSize = 400;
opts = trainingOptions('sgdm', ...
'MiniBatchSize', miniBatchSize,...
'MaxEpochs',2, ...
'Shuffle','every-epoch', ...
'Plots','training-progress', ...
'Verbose',false,...
'ValidationData',{XValidation,YValidation});
net = trainNetwork(augimds,layers,opts);
------------------------------------------
Error
Error using trainNetwork (line 184)
Invalid validation data. The output size (26) of the last layer does not match the number
of classes (25).
______________________________
Please help to resolve the error

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