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config_fast.json
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config_fast.json
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{
"n_gpu": 1,
"arch": {
"type": "Unet",
"args": {
"encoder_name": "efficientnet-b5"
}
},
"train_dataset": {
"type": "MaskLoadDataset",
"args": {}
},
"valid_dataset": {
"type": "MaskLoadDataset",
"args": {}
},
"test_dataset": {
"type": "TestDataset",
"args": {}
},
"train_data_loader": {
"type": "DataLoader",
"args":{
"batch_size": 6,
"shuffle": true,
"num_workers": 8,
"drop_last": false,
"pin_memory": true
}
},
"valid_data_loader": {
"type": "DataLoader",
"args":{
"batch_size": 6,
"shuffle": false,
"num_workers": 8,
"drop_last": false,
"pin_memory": true
}
},
"test_data_loader": {
"type": "DataLoader",
"args":{
"batch_size": 2,
"shuffle": false,
"num_workers": 4,
"drop_last": false,
"pin_memory": true
}
},
"optimizer": {
"type": "Adam",
"args":{
"lr": 1e-3,
"weight_decay": 0,
"amsgrad": true
}
},
"loss": "bce_with_logits_loss",
"metrics": [
"dice_coef"
],
"lr_scheduler": {
"type": "StepLR",
"args": {
"step_size": 50,
"gamma": 0.1
}
},
"trainer": {
"type": "FastTrainer",
"args": {},
"epochs": 100,
"save_dir": "saved/",
"save_period": 10,
"monitor": "max val_dice_coef",
"early_stop": 10
},
"threshold": {
"pred_thr": 0.5
},
"wandb": {
"project_name": "funfun-seg",
"entity": "gusdn00751",
"exp_name": "test"
},
"path": {
"train_root": "/data/ephemeral/home/datasets/train/DCM",
"mask_root": "/data/ephemeral/home/datasets/mask_bin",
"test_path": "/data/ephemeral/home/datasets/test/DCM",
"inference_model_path": "/data/ephemeral/home/level2-cv-semanticsegmentation-cv-03/saved/test/f1_best.pth",
"save_csv_path": "/data/ephemeral/home/level2-cv-semanticsegmentation-cv-03/saved/output.csv"
},
"kfold": {
"n_splits": 5,
"n_iter": 1
},
"train_transforms": [
{
"name": "Resize",
"args": [1024, 1024],
"kwargs": {}
},
{
"name": "Normalize",
"args": [],
"kwargs": {}
}
],
"test_transforms": [
{
"name": "Resize",
"args": [1024, 1024],
"kwargs": {}
},
{
"name": "Normalize",
"args": [],
"kwargs": {}
}
],
"fine_tuning_mode": false
}