-
Notifications
You must be signed in to change notification settings - Fork 2
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
transform parameters #1
Comments
The sizes of KITTI images are different, to be convenient, we crop the bottom-center (256 x 1216) of each image and feed it to the depth completion network. SFD-TWISE/Codes/dataloaders/kitti_loader.py Line 262 in 80665cf
|
i wanted to check results of your pre-trained model on my custom dataset, all images are size 40963000 (wh). What values should i use than? |
Hi, you need to train TWISE on your custom dataset in advance, it is not recommended to use TWISE pre-trained on KITTI depth completion dataset to inference on your custom dataset due to the domain gap. |
But the training code has not been provided. |
Hey, there
great work!
I wanted to know what are these parameters and how are they set?
SFD-TWISE/Codes/dataloaders/kitti_loader.py
Line 178 in 80665cf
The text was updated successfully, but these errors were encountered: