Image Regression using .mat Files and a datastore

140 views (last 30 days)
I would like to train a CNN for image regression using a datastore. My images are stored in .mat files (not png or jpeg). This is not image-to-image regression, rather an image to single regression label problem. Is it possible to do this using a datastore, or at least some other out-of-memory approach?

Accepted Answer

luisa di monaco
luisa di monaco on 7 Dec 2019
Edited: luisa di monaco on 2 Jan 2020
I have solved something similar.
I'm trying to train a CNN for regression. My inputs are numeric matrices of size 32x32x2 (each input includes 2 grayscale images as two channels). My outputs are numeric vectors of length 6.
500 000 is the total amount of data.
I created 500 000 .mat file for inputs in folder 'inputData' and 500 000 .mat file for target in folder 'targetData'. Each .mat file contains only 1 variable of type double called 'C'.
The size of C is 32x32x2 (if input) or 1x6 (if target).
inputDatat = transform(inputData,@(data) rearrange_datastore(data));
targetDatat = transform(targetData,@(data) rearrange_datastore(data));
% here I defined my network architecture
% here I defined my training options
net=trainNetwork(trainData, Layers, options);
function image = rearrange_datastore(data)
image= {image};
luisa di monaco
luisa di monaco on 6 Jan 2022
the creation process was part of my thesis work. Here you can download my thesis: . Dataset creation is described in chapter 4 (4.2, 4.3 and 4.5) .
Here you can find some Matlab code:
I hope this can help.

Sign in to comment.

More Answers (2)

Johanna Pingel
Johanna Pingel on 29 Apr 2019
Edited: Johanna Pingel on 29 Apr 2019
I've used a .mat to imagedatastore conversion here:
imds = imageDatastore(ImagesDir,'FileExtensions','.mat','ReadFcn',@matRead);
function data = matRead(filename)
inp = load(filename);
f = fields(inp);
data = inp.(f{1});
tianliang wang
tianliang wang on 28 Apr 2021
Is it more convenient to use mat files as the training set for the images to vectors regression ?

Sign in to comment.

Lykke Kempfner
Lykke Kempfner on 16 Aug 2019
I have same problem.
I have many *.mat files with data that can not fit in memory. You may consider the files as not standard images. I have the ReadFunction for the files. I wish to create a datastore (?) where each sample are associated with two single values and not a class.
Are there any solution to this issue ?


Find more on Deep Learning with Time Series and Sequence Data 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!

Translated by