Are you sure you want to delete this access key?
Legend |
---|
DVC Managed File |
Git Managed File |
Metric |
Stage File |
External File |
Legend |
---|
DVC Managed File |
Git Managed File |
Metric |
Stage File |
External File |
For the basic setting of this work, please prepare datasets of Cityscapes, Stanford2D3D, and DensePASS.
The DensePASS dataset has 100 panoramic images and annotations for evaluation.
The other unlabeled images could be found at WildPASS.
'train.py' in S_R, A_S and S_A_R are used for training on outdoor dataset with different modules settings.
The training configurations can be adjusted at 'train.py' or by parameters like --model DANet.
An example of training is 'python train.py'.
This code is heavily borrowed from AdaptSegNet.
Press p or to see the previous file or, n or to see the next file
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?