| _base_=[ | |
| '../_base_/models/encoder_decoder/convnext_large.hourglassdecoder.py', | |
| '../_base_/datasets/_data_base_.py', | |
| '../_base_/default_runtime.py', | |
| ] | |
| model = dict( | |
| backbone=dict( | |
| pretrained=False, | |
| ) | |
| ) | |
| # configs of the canonical space | |
| data_basic=dict( | |
| canonical_space = dict( | |
| img_size=(512, 960), | |
| focal_length=1000.0, | |
| ), | |
| depth_range=(0, 1), | |
| depth_normalize=(0.3, 150), | |
| crop_size = (544, 1216), | |
| ) | |
| batchsize_per_gpu = 2 | |
| thread_per_gpu = 4 | |