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_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
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