Spaces:
Sleeping
Sleeping
# Copyright (C) 2024-present Naver Corporation. All rights reserved. | |
# Licensed under CC BY-NC-SA 4.0 (non-commercial use only). | |
# | |
# -------------------------------------------------------- | |
# global alignment optimization wrapper function | |
# -------------------------------------------------------- | |
from enum import Enum | |
from .optimizer import PointCloudOptimizer | |
from .modular_optimizer import ModularPointCloudOptimizer | |
from .pair_viewer import PairViewer | |
class GlobalAlignerMode(Enum): | |
PointCloudOptimizer = "PointCloudOptimizer" | |
ModularPointCloudOptimizer = "ModularPointCloudOptimizer" | |
PairViewer = "PairViewer" | |
def global_aligner(dust3r_output, device, mode=GlobalAlignerMode.PointCloudOptimizer, **optim_kw): | |
# extract all inputs | |
view1, view2, pred1, pred2 = [dust3r_output[k] for k in 'view1 view2 pred1 pred2'.split()] | |
# build the optimizer | |
if mode == GlobalAlignerMode.PointCloudOptimizer: | |
net = PointCloudOptimizer(view1, view2, pred1, pred2, **optim_kw).to(device) | |
elif mode == GlobalAlignerMode.ModularPointCloudOptimizer: | |
net = ModularPointCloudOptimizer(view1, view2, pred1, pred2, **optim_kw).to(device) | |
elif mode == GlobalAlignerMode.PairViewer: | |
net = PairViewer(view1, view2, pred1, pred2, **optim_kw).to(device) | |
else: | |
raise NotImplementedError(f'Unknown mode {mode}') | |
return net | |