Open balaramb opened 5 years ago
Have you figured it out ?
I think you can refer to the scripts/precompute_img_features.py file to get the idea of how the camera rotates to get the 36 single view images.
Same problem here. Any ideas?
Same problem. Has someone solved it or understood this?
At any given viewpoint, there seem to be 36 viewIndices (12 headings per elevation; 3 elevations). On the other hand, matterport_skybox_images provides 6 images per viewpoint (one top, one bottom and mainly, 4 images which could be stitched to form a panorama). Can you please explain how the 12 headings of 0 elevation (or viewIndices 12-23) correspond to the 4 skybox images for a given viewpoint e.g. which of the 4 images corresponds to the agent is looking straight? Kindly help me understand the mapping.