Closed aikuide closed 3 months ago
If you are referring to the simulation experiments, the segmentation images are directly rendered from the simulation engine (Bullet).
Sorry, I may not be familiar with what you mean by rendering. Does it require neural network training on the dataset of hands and objects to achieve segmentation
IIRC Bullet uses an OpenGL based renderer. This is classical rendering and does not require neural network.
Thank you very much for your patient answer. So how can I obtain such segmented images in the paper
The segmented image is obtained in this line. You should be able to check it if you run the demo.
So what do you mean is that you can directly obtain such segmented images through rendering and then pass them directly to the perception module? In my understanding, real-time segmentation of hands and objects is also a difficult task
You can directly obtain such segmented images through rendering and then pass them directly to the perception module?
Yes.
Real-time segmentation of hands and objects is also a difficult task.
It does not matter in simulation. In the real world, yes.
Thank you for your patient answer
Hi! In the paper, it is mentioned that the perception module obtained RGBD images and segmented images to obtain segmented point clouds of objects and hands. I would like to know how to obtain segmented images?