Deep Learning Toolbox - How to get Video Inputs in the Network, and use Videos in training?

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Lars
Lars 2022-8-29
回答： Shreeya 2024-8-21
Hello, I am a new user to the Deep Learning Toolbox.
I am looking through the software and I have only seen the ability to make a network with a image input, and in the training area, it hasn't let me use videos for training. Any help would be appreciated.

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Shreeya
Shreeya 2024-8-21
Hi
To use video data for training a model using in the Deep Learning Toolbox, the `VideoReader` function in MATLAB to read video files frame by frame can be used. You can refer to the documentation linked below for understanding the implementation:
https://www.mathworks.com/help/matlab/ref/videoreader.html
Below is a sample code to read the video files and use them as training data
v = VideoReader(videoFile);
frames = [];
while hasFrame(v)
%Preprocess and store the data as per the requirements
end
% Sample network architecture
layers = [
imageInputLayer([224 224 3])
convolution2dLayer(3, 8, 'Padding', 'same')
batchNormalizationLayer
reluLayer
fullyConnectedLayer(2)
softmaxLayer
classificationLayer];
%Train the Network
options = trainingOptions('sgdm', ...
'MaxEpochs', 10, ...
'InitialLearnRate', 0.01, ...
'Verbose', false, ...
'Plots', 'training-progress');
trainNetwork(frames, labels, layers, options);
Let me know if this helps!

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