added codes
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92
python_code/input.yaml
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92
python_code/input.yaml
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#################################################
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#
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# Input file
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#
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#################################################
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mesh_file: '../data/slice_Hz5.7.h5'
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#mesh_file: '../data/boxmeshH1.h5'
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dt: 0.030
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VENC: 77
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#VENC: 38
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shape: scalar #only scalar data right now
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io:
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#path to file to unwrap
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in_file: '../data/slice5.7/GroundTruth_meas/postprocess/SNR6V60/'
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#in_file: '../data/aorta_RH3_h1/postprocess/SNR12V60/'
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#ground_file: '../data/slice5.7/GroundTruth_meas/'
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#path to folder where to save results
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#savepath: '../results/aorta_RH3_h1/SNR12V60_60ms/'
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savepath: '../results/slice5.7/SNR6V60_30ms/'
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write_checkpoints: False
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write_xdmf: True
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realizations:
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apply: True
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seed_init: 100
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total_number: 50
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save_all_errors: True
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unwrapping:
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Temporal:
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apply: True
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t_ref: 0
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path_addon: 'temporal/'
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lap3d:
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apply: True
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path_addon: 'lap3d/'
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lap4d:
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apply: True
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path_addon: 'lap4d/'
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Probability:
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apply: True
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nlow: 10
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nhigh: 10
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t_low: 0.32
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t_high: 0.75
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w_s: 1.0
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w_t: 2.5
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path_addon: 'prob/'
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omme:
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apply: True
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apply_to_previous: False
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#high_venc: 160
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high_venc: 126
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#mid_venc: 77
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mid_venc: 38
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#low_venc: 38
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highvenc_file: '../data/slice5.7/GroundTruth_meas/'
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#highvenc_file: '../data/aorta_RH3_h1/GroundTruth/'
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midvenc_file: '../data/slice5.7/GroundTruth_meas/postprocess/SNR6V60/'
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#midvenc_file: '../data/aorta_RH3_h1/postprocess/SNR12V60/'
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#lowvenc_file: '../data/aorta_RH3_h3/postprocess/SNR12V30/'
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path_addon: 'omme/'
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lee:
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apply: False
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apply_to_previous: False
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#highvenc_file: '../data/aorta_RH3_h3/GroundTruth/'
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highvenc_file: '../data/slice5.7/GroundTruth_meas/'
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#lowvenc_file: '../data/aorta_RH3_h3/postprocess/SNR15V60/'
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lowvenc_file: '../data/slice5.7/GroundTruth_meas/postprocess/SNR12V60_s100/'
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path_addon: 'lee/'
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eval:
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apply: True
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eval_omme: False
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#ground_file: '../data/aorta_RH3_h1/GroundTruth/'
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ground_file: '../data/slice5.7/GroundTruth_meas/'
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method: 'error'
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lumen: True
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save_errors: True
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mesh:
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mesh_type: slice
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dxs: [0.25, 0.25, 0.25]
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