model:
name: 'SelfSupModel'
optimizer:
name: 'Adam'
depth:
lr: 0.0002
pose:
lr: 0.0002
scheduler:
name: 'StepLR'
step_size: 30
gamma: 0.5
depth_net:
name: 'PackNet01'
version: '1A'
pose_net:
name: 'PoseNet'
version: ''
params:
crop: 'garg'
min_depth: 0.0
max_depth: 80.0
datasets:
augmentation:
image_shape: (192, 640)
train:
batch_size: 4
dataset: ['KITTI']
path: ['/data/datasets/KITTI_raw']
split: ['data_splits/eigen_zhou_files.txt']
depth_type: ['velodyne']
repeat: [2]
validation:
dataset: ['KITTI']
path: ['/data/datasets/KITTI_raw']
split: ['data_splits/eigen_val_files.txt',
'data_splits/eigen_test_files.txt']
depth_type: ['velodyne']
test:
dataset: ['KITTI']
path: ['/data/datasets/KITTI_raw']
split: ['data_splits/eigen_test_files.txt']
depth_type: ['velodyne']