scannet.yaml about convolutional_occupancy_networks HOT 4 CLOSED

Hi Bing,

Since we directly use the model pretrained from the synthetic room dataset, you can simply reuse most parts of the config files. For example, you can use the grid64 model, and simply change two lines in
https://github.com/autonomousvision/convolutional_occupancy_networks/blob/master/configs/pointcloud/room_grid64.yaml#L4-L5
to

classes: ['scenes']
path: data/ScanNet

Maybe you also want to change the generation_dir to generation_dir: generation_scannet.

Best,
Songyou

from convolutional_occupancy_networks.

Thanks for your reply.
May I know the values of unit_size, query_vol_size and resolution_0 when you evaluate in the sliding-window way?

Best,
Bing

from convolutional_occupancy_networks.

For the scannet experiment, we did not evaluate it in the sliding-window manner, but normalize it into the unit cube and evaluate in the entire room level. However, you can definitely try the sliding-window evaluation out by yourself and I guess the results should be better.

from convolutional_occupancy_networks.

Great thanks!

from convolutional_occupancy_networks.