eval_kitti
model:
name: 'SelfSupModel'
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)
test:
dataset: ['KITTI']
path: ['/data/datasets/KITTI_raw']
split: ['data_splits/eigen_test_files.txt']
depth_type: ['velodyne']
save:
folder: '/data/save'
viz: True
npz: True