54 lines
1.3 KiB
YAML
54 lines
1.3 KiB
YAML
#### basic configs
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# dataset:
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# name: 'Cephalometric'
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# pth: '/home1/quanquan/datasets/Cephalometric/'
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# ---------------------- Common Configs --------------------------
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base:
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base_dir: "../runs/sam/"
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tag: ''
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stage: ''
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logger:
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mode: ['tb', ]
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# mode: ''
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recorder_reduction: 'mean'
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training:
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save_mode: ['all','best', 'latest'] #
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batch_size : 8 # 20 for A100
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num_workers : 16
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num_epochs : 500 # epochs
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use_amp: true
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save_interval : 4
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val_check_interval: 6
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load_pretrain_model: false
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# optim:
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lr: 0.0002
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decay_step: 2000
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decay_gamma: 0.8
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weight_decay: 0.0001
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alpha: 0.99
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validation_interval: 100
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dataset:
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types: ['3d'] # ['3d', '2d']
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split: 'train'
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data_root_path: '/quanquan/datasets/'
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dataset_list: ["alp", "word", "debug"] # ['sam', "their", "ours"]
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data_txt_path: './datasets/dataset_list/'
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dataset2d_path: "/home1/quanquan/datasets/08_AbdomenCT-1K/"
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cache_data_path: '/home1/quanquan/datasets/cached_dataset2/'
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# sam_checkpoint: "/quanquan/code/projects/medical-guangdong/segment-anything/sam_vit_b_01ec64.pth" # 103 server
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# model_type: "vit_b"
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# Continue training
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# continue_training: true
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# load_optimizer: true
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# breakpoint_path: "/quanquan/code/segment-anything/runs/sam/ddp_b1/lora_3d_2dm"
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test:
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batch_size: 1
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