Methods, storage media, and systems for classifying an image according to an intensity of an object

A method of using a graphics processing unit to evaluate a real-world image for a degree that pixels in the real-world image represent a particular classification category, the method comprising:

• evaluating a plurality of pixels in the real-world image according to a first classification category using a first layer of an inference network and at least one other classification category according to at least one other layer of the inference network, wherein the inference network is configured to predict a single classification for each pixel among all layers' evaluations;
• creating a first intra-layer value based on summing inputs consisting of predicted values for one or more pixels of the real-world image by the first layer, wherein a predicted value for any one pixel of the plurality of pixels by the first layer is based on a relative comparison of the evaluation of the pixel by the first layer of the inference network relative to the evaluation of the same pixel by the at least one other layer;
• and classifying the real-world image according to the first intra-layer value.