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Thanks for your release. I use this repo to replicate the FSM result, but it can not replicate it at all, RMSE is more than 170 without gt scale. Have you tested before release?
this is my config setting:
wrapper:
recipe: wrapper|default
max_epochs: 30
validate_first: False
arch:
model:
file: depth/FSMModel
networks:
depth:
recipe: networks/focal_depth_res_net|fsm_ddad
depth_range: [0.1,200.0]
pose:
recipe: networks/conv_pose_net|default
losses:
reprojection:
recipe: losses/reprojection|default
smoothness:
recipe: losses/smoothness|default
evaluation:
depth:
recipe: evaluation/depth|ddad_resize
optimizers:
depth:
recipe: optimizers|adam_20_05
pose:
recipe: optimizers|adam_20_05
datasets:
train:
recipe: datasets/ddad|train_selfsup_6cams
dataloader:
batch_size: 1
validation:
recipe: datasets/ddad|validation_6cams
The text was updated successfully, but these errors were encountered:
Thanks for your release. I use this repo to replicate the FSM result, but it can not replicate it at all, RMSE is more than 170 without gt scale. Have you tested before release?
this is my config setting:
wrapper:
recipe: wrapper|default
max_epochs: 30
validate_first: False
arch:
model:
file: depth/FSMModel
networks:
depth:
recipe: networks/focal_depth_res_net|fsm_ddad
depth_range: [0.1,200.0]
pose:
recipe: networks/conv_pose_net|default
losses:
reprojection:
recipe: losses/reprojection|default
smoothness:
recipe: losses/smoothness|default
evaluation:
depth:
recipe: evaluation/depth|ddad_resize
optimizers:
depth:
recipe: optimizers|adam_20_05
pose:
recipe: optimizers|adam_20_05
datasets:
train:
recipe: datasets/ddad|train_selfsup_6cams
dataloader:
batch_size: 1
validation:
recipe: datasets/ddad|validation_6cams
The text was updated successfully, but these errors were encountered: