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,
Thank you very much for the training script. I am currenlty trying to train using SUNRGBD dataset for both depth prediction and semantic segmentation. I have added multiple classes to config file ( chairs, floor, tables ). While training, program stopped execution due to nan values after 3 epochs. I am using 'vit_base', batch size 8, and default values for all other parameters. I have following doubts.
Should I update/modify any code sections to train for multiple classes segmentation?
I have passes ground truth depth values as such. Should I convert it to meters ?
Thanks in advance...
The text was updated successfully, but these errors were encountered:
Hi, Thank you very much for the training script. I am currenlty trying to train using SUNRGBD dataset for both depth prediction and semantic segmentation. I have added multiple classes to config file ( chairs, floor, tables ). While training, program stopped execution due to nan values after 3 epochs. I am using 'vit_base', batch size 8, and default values for all other parameters. I have following doubts.
Should I update/modify any code sections to train for multiple classes segmentation?
I have passes ground truth depth values as such. Should I convert it to meters ?
Thanks in advance...
Hello, have you successfully completed your work? Can you tell me how to do it, thank you very much.
Hi,
Thank you very much for the training script. I am currenlty trying to train using SUNRGBD dataset for both depth prediction and semantic segmentation. I have added multiple classes to config file ( chairs, floor, tables ). While training, program stopped execution due to nan values after 3 epochs. I am using 'vit_base', batch size 8, and default values for all other parameters. I have following doubts.
Thanks in advance...
The text was updated successfully, but these errors were encountered: