I need combined datastore like below:
data = read(ds)
data =
100×3 cell array
{128×128×3 uint8} {128×128×3 uint8} {[0.8]}
{128×128×3 uint8} {128×128×3 uint8} {[1.2]}
{128×128×3 uint8} {128×128×3 uint8} {[4.4]}
{128×128×3 uint8} {128×128×3 uint8} {[0.9]}
...
Fist column and second column are (multiple) input data for CNN,
and last column is responses.
(As stated in the docmentation, For networks with multiple inputs, the datastore must be a combined or transformed datastore that returns a cell array with (numInputs+1) columns containing the predictors and the responses, where numInputs is the number of network inputs and numResponses is the number of responses.)
I prepared two kinds of image file folder, which are corresponding to first column and second column.
The problem is about third column.
I prepared .csv file of the response values, and made a tabularTextDatastore with the file.
And then I transformed it to cell type data in order to combine it with the other two datastores.
dsnew = transform(ds,@(x) table2cell(x))
But after combine these three datastores, ds.readall comand showed an error about horzcat, which tells that demensions of the arrays are not consistent.
I confirmed the dimensions of all datastores, but all of them are "1000 x 1 cell array".
How can I solve this problem?
