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train_kitti_mtsfmlearnerv2.yaml
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train_kitti_mtsfmlearnerv2.yaml
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arch:
max_epochs: 20
seed: 11
checkpoint:
filepath: /output/mtsfmlearnerv2/kitti_depth/
datasets:
augmentation:
image_shape: (192, 640)
jittering: (0.2, 0.2, 0.2, 0.1)
test:
num_workers: 0
dataset:
- KITTI
depth_type:
- velodyne
path:
- /datasets/KITTI/raw_data/sync
split:
- data_splits/eigen_test_files.txt
train:
num_workers: 0
batch_size: 9
dataset:
- KITTI
depth_type:
- velodyne
path:
- /datasets/KITTI/raw_data/sync
split:
- data_splits/eigen_zhou_files.txt
validation:
num_workers: 0
dataset:
- KITTI
depth_type:
- velodyne
path:
- /datasets/KITTI/raw_data/sync
split:
- data_splits/eigen_val_files.txt
- data_splits/eigen_test_files.txt
model:
depth_net:
name: DepthMTSfMLearner
transformer_features: 96
transformer_model: pvt-b4
version: pt
loss:
padding_mode: border
name: SelfSupModel
optimizer:
depth:
lr: 1e-5
weight_decay: 0.0
name: AdamW
pose:
lr: 1e-5
weight_decay: 0.0
name: AdamW
params:
crop: garg
max_depth: 80.0
min_depth: 0.0
pose_net:
name: PoseMTSfMLearner
transformer_model: pvt-b4
version: pt
pretrained_model_dir: /input/pretrained/
scheduler:
T_max: -1
gamma: 0.1
name: StepLR
step_size: 15