Deep Learning: How do I add regression ground truth data to an imageDatastore?

Question

Tomas 2017-12-13

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https://ww2.mathworks.cn/matlabcentral/answers/372698-deep-learning-how-do-i-add-regression-ground-truth-data-to-an-imagedatastore

回答： Daniel Cohen 2021-1-13

if I train my network with newnet=trainNetwork(imageDatastore_traindata,net,options) imageDatastore_traindata.Labels need to be categorical, i.e. not regression but classification labels. So for regression, it seems I need to use newnet=trainNetwork(X,Y,net,options)

and give my regression labels as Y, but then I can't use the imageDatastore as X, so I'll run into memory problems. Is there no way to do regression with an imageDatastore?

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Bashar Saad 2018-12-28

hi friend i have same the problem i do not know how to load my own dataset in deep learning could you help me plase ?

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Answer 1

Amy 2017-12-19

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https://ww2.mathworks.cn/matlabcentral/answers/372698-deep-learning-how-do-i-add-regression-ground-truth-data-to-an-imagedatastore#answer_297023

You can use an image datastore to get the image file names (without having to load the images from the dataset into memory at all), then create a table with the file names in the first column and your regressors in the other columns, and feed that into trainNetwork.

(see the trainedNet = trainNetwork(tbl,layers,options) syntax for trainNetwork.)

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Simone Scaringi 2020-2-20

Also joining Christoph Block with same question: i.e. is there a way to parse the tbl argument and allow the trainNetwork function to read files using e.g. a custom ReadFcn ?

Simone Scaringi 2020-2-21

I've spent way too much time getting my head around this.

What I ended up doing to "fix" it, is to save my data files as .png images. In my case these are just 1D "images", but I guess you can save the 3D matrix as an image as well. If you do this then train proceeds as expected since the table with file paths have .png "images" in them.

Hope this helps to whoever reads this!

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