{ | |
"defaults_filepath": "configs/config.defaults.inria_dataset_polygonized.json", | |
"run_name": "inria_dataset_polygonized.ictnet.rmsprop.leaderboard", | |
"seg_params": { | |
"compute_interior": true, | |
"compute_edge": false, | |
"compute_vertex": false | |
}, | |
"backbone_params": { | |
"defaults_filepath": "configs/backbone_params.ictnet.json" // Path from the project's root to a JSON with default values for backbone_params | |
}, | |
"loss_params": { | |
"seg_loss_params": { | |
"bce_coef": 1.0, | |
"dice_coef": 0.2, | |
"use_dist": true, // Dist weights as in the original U-Net paper | |
"use_size": false // Size weights increasing importance of smaller buildings | |
} | |
}, | |
"optim_params": { | |
"optimizer": "RMSProp", | |
"batch_size": 2 // Overwrite default batch size per GPU. The effective batch size is effective_batch_size=world_size*batch_size | |
} | |
} | |