train_kitti
===========

.. code:: yaml

	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']