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rename model
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@ -1,7 +1,7 @@
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GENERAL:
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GENERAL:
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task: train # train, test
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task: train # train, test
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manual_seed: 123
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manual_seed: 123
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model_dir: model/hais/hais.py
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model_dir: model/softgroup/softgroup.py
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dataset_dir: data/scannetv2_inst.py
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dataset_dir: data/scannetv2_inst.py
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DATA:
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DATA:
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@ -25,7 +25,7 @@ DATA:
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mode: 4 # 4=mean
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mode: 4 # 4=mean
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STRUCTURE:
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STRUCTURE:
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model_name: hais
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model_name: softgroup
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width: 32
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width: 32
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block_residual: True
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block_residual: True
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block_reps: 2
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block_reps: 2
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@ -47,7 +47,7 @@ TRAIN:
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score_scale: 50 # the minimal voxel size is 2cm
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score_scale: 50 # the minimal voxel size is 2cm
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score_fullscale: 20
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score_fullscale: 20
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score_mode: 4 # mean
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score_mode: 4 # mean
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pretrain_path: 'softgroup_ckpt.pth'
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pretrain_path: 'hais_ckpt.pth'
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pretrain_module: ['input_conv', 'unet', 'output_layer']
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pretrain_module: ['input_conv', 'unet', 'output_layer']
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fix_module: []
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fix_module: []
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@ -92,7 +92,7 @@ TEST:
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eval: True
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eval: True
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save_semantic: False
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save_semantic: False
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save_pt_offsets: False
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save_pt_offsets: False
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save_instance: True
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save_instance: False
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test_mask_score_thre: -0.5 # bias fg << bg
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test_mask_score_thre: -0.5 # bias fg << bg
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