The reasons for the error are:
- When passing 2D images in the form of a numeric array as input to the trainNetwork function, they need to be passed in a specific format, i.e. h-by-w-by-c-by-n numeric array, where "h", "w", and "c" are the height, width, and number of channels of the images, respectively, and "n" is the number of images.
- For 2D image regression, responses need to be passed as an n-by-r matrix, where "n" is the number of images and "r" is the number of responses.
- Although unrelated to the error, only the third column of "Vpara" is being updated in the provided code. All other columns will remain zero.
For reference, here is the corrected code:
%Import files
%Let each image be of dimensions h-by-w-by-c
Imgs = zeros(h,w,c,length(files));
Vpara = zeros(length(files),3);
for n=1:length(files)
Imgs(:,:,:,n) = imread("each image");
Vpara(n,:) = load("each vector");
end
[net, info] = trainNetwork(Imgs,Vpara,layers,options);
Input images can also be passed as a Datastore or a Table. More details can be found in the documentation below:
Hope this is helpful!
