Open jpnavarro-nv opened 5 years ago
You need: 1.prepare real and segmentation label images 2.distinguish what colors represent particular class 3.train the model 4.use function that can change pixel values which have different color than particular label to 0 5.generate n binary mask using this function this all,try it
You need: 1.prepare real and segmentation label images 2.distinguish what colors represent particular class 3.train the model 4.use function that can change pixel values which have different color than particular label to 0 5.generate n binary mask using this function this all,try it
Hi, your answer is very helpful. What do I need to do to solve a label-to-image problem with pix2pixHD? Thanks. (for example, number 3 to a image contains in MNIST)
What do I need to do in order to use the pix2pixHD code to generate a semantic segmentation map as output (discrete classes, or labels)? In this way, it would be an image-to-label problem. Thanks!