You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, @JUGGHM
I am doing 3D detection with KITTI dataset.
I converted lidar(.bin) into sparse depth map(.png) now.
How can I get dense depth map using PENet?
(It seems that PENet support only one input shape, the kitti 3d detection dataset have different image shape)
Can you give me some advice? Thanks
The text was updated successfully, but these errors were encountered:
Thanks for your interest! It is recommend that you could resize the kitti depth dataset into an expected image size during training and train the depth completion models from scratch. Maybe in the future we would update our method for supporting a variety of different solutions. However I am currently working on some other projects so it could be after a quite long period.
@JUGGHM
Thanks for your reply!
So, If I still using your pretrained model for test, I need to resize all my dataset into the same size?
Currently, I just want to using provided PENet model to see some results.(233333)
Hi, @JUGGHM I am doing 3D detection with KITTI dataset. I converted lidar(.bin) into sparse depth map(.png) now. How can I get dense depth map using PENet? (It seems that PENet support only one input shape, the kitti 3d detection dataset have different image shape) Can you give me some advice? Thanks
Bro, did you get the dense depth map? Can I talk to you?
Hi, @JUGGHM
I am doing 3D detection with KITTI dataset.
I converted lidar(.bin) into sparse depth map(.png) now.
How can I get dense depth map using PENet?
(It seems that PENet support only one input shape, the kitti 3d detection dataset have different image shape)
Can you give me some advice? Thanks
The text was updated successfully, but these errors were encountered: