arch:
max_epochs: 1
model:
name: 'SelfSupModel'
optimizer:
name: 'Adam'
depth:
lr: 0.0001
pose:
lr: 0.0001
scheduler:
name: 'StepLR'
step_size: 30
gamma: 0.5
depth_net:
name: 'DepthResNet'
version: '18pt'
pose_net:
name: 'PoseResNet'
version: '18pt'
params:
crop: ''
min_depth: 0.0
max_depth: 200.0
datasets:
augmentation:
image_shape: (384, 640)
train:
batch_size: 4
dataset: ['DGP']
path: ['/data/datasets/DDAD_tiny/ddad_tiny.json']
split: ['train']
depth_type: ['lidar']
cameras: ['camera_01']
repeat: [300]
validation:
dataset: ['DGP']
path: ['/data/datasets/DDAD_tiny/ddad_tiny.json']
split: ['train']
depth_type: ['lidar']
cameras: ['camera_01']
test:
dataset: ['DGP']
path: ['/data/datasets/DDAD_tiny/ddad_tiny.json']
split: ['train']
depth_type: ['lidar']
cameras: ['camera_01']