eval_ddad
=========

.. code:: yaml

	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