overfit_ddad ============ .. code:: yaml arch: max_epochs: 1 model: name: 'SelfSupModel' optimizer: name: 'Adam' depth: lr: 0.0001 pose: lr: 0.0001 scheduler: name: 'StepLR' step_size: 30 gamma: 0.5 depth_net: name: 'DepthResNet' version: '18pt' pose_net: name: 'PoseResNet' version: '18pt' params: crop: '' min_depth: 0.0 max_depth: 200.0 datasets: augmentation: image_shape: (384, 640) train: batch_size: 4 dataset: ['DGP'] path: ['/data/datasets/DDAD_tiny/ddad_tiny.json'] split: ['train'] depth_type: ['lidar'] cameras: ['camera_01'] repeat: [300] validation: dataset: ['DGP'] path: ['/data/datasets/DDAD_tiny/ddad_tiny.json'] split: ['train'] depth_type: ['lidar'] cameras: ['camera_01'] test: dataset: ['DGP'] path: ['/data/datasets/DDAD_tiny/ddad_tiny.json'] split: ['train'] depth_type: ['lidar'] cameras: ['camera_01']