Closed Medoalmasry closed 2 years ago
Hi @Medoalmasry !
You can use a Deep Learning model to do the segmentation, in DIB-R paper, it is said that the mask in PASCAL3D+ is estimated from Mask R-CNN.
Would you please direct me towards a simple tutorial or at the very least reference the relevant api calls to load a single realistic image with it's mask and produce the corresponding point cloud or mesh?
There is is no such functionality directly implemented in Kaolin, there is a torchvision tutorial for Mask R-CNN here: https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html
Is there a way to load a realistic 2D image, with it's corresponding mask into the kaolin library? As in without any camera properties, or the omniverse application?