The image composition in output1 and output2 has different probabilities, one probability being the background layer and the other probability being the desired result. The semantic segmentation of deeplab is to calculate the Argmax for different results. Taking the value with the highest probability as the result may require some AI knowledge to understand, and its result is in the form of a 4-dimensional matrix NCHW. Because I don’t know how to parse its results, the core code is to refer to others’ semantic segmentation and parsing, and I don’t quite understand either.