eval_ddad
model:
name: 'SelfSupModel'
depth_net:
name: 'PackNet01'
version: '1A'
pose_net:
name: 'PoseNet'
version: ''
params:
crop: ''
min_depth: 0.0
max_depth: 200.0
datasets:
augmentation:
image_shape: (384, 640)
test:
dataset: ['DGP']
path: ['/data/datasets/DDAD/ddad.json']
split: ['val']
depth_type: ['lidar']
cameras: ['camera_01']
save:
folder: '/data/save'
viz: True
npz: True