Are there any complete examples for using user-defined input (i.e. not a bitmap) with Image classifiers?
I have read the existing posts about loading custom data, but I cannot go from that to actually feeding the image classifier with data of correct type, size & dimension.
Example: I want to go from this data
# size,color,type 10x10,red,small-red 30x30,blue,big-blue 15x22,green,medium-green ...
to a 32x32x3 python array which I somehow (and this is the part I have trouble with) translate to a numpy/pytroch primitive of correct size and dimension that a standard image classifier would accept.
So far I have only been able to get this to work by generating intermediate Bitmap files and then using a standard image loader, but for my experiment this is very inefficient.