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