Open alfrem opened 4 years ago
For now, I want to focus on classification. This means, the input to the model is an image and a class (one single number) and the output is the prediction for the classes (as many numbers as there are classes). GANs are often used for image-to-image translation. For R-CNNs, the input is multiple images. Single shot detectors (SSDs) take and image and output a few values (bounding boxes)
None of these are impossible, but each would require quite some time to implement.
Would it mean massive changes to GUI to be able to implement that possibilities? Thanks!