55 lines
1.6 KiB
YAML
55 lines
1.6 KiB
YAML
# configs/infer_1photon.yaml
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experiment:
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name: "FlatField_3filters_pos0" # options: SiemenStarLowerLeft, SiemenStarLowerRight
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task: "3Photon"
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output_base: "./InferenceResults"
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data:
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sample_folder: "/home/xie_x1/MLXID/DataProcess/Samples"
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names:
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KnifeEdge_3filters_pos0:
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file_pattern: "2603MaxIV_Edge3Filters_pos0_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
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NX: 101
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NY: 101
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file_range: [0, 16] # [0, 16)
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roi: [0, 101, 0, 101]
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FlatField_3filters_pos0:
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file_pattern: "2603MaxIV_FlatField3Filters_pos0_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
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NX: 101
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NY: 101
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file_range: [0, 16] # [0, 16)
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roi: [0, 101, 0, 101]
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KnifeEdge_2filters:
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file_pattern: "2603MaxIV_Edge2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
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NX: 101
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NY: 101
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file_range: [0, 16] # [0, 16)
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roi: [0, 101, 0, 101]
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FlatField_2filters:
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file_pattern: "2603MaxIV_Flat2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
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NX: 101
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NY: 101
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file_range: [0, 16] # [0, 16)
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roi: [0, 101, 0, 101]
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Uniformity_test:
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file_pattern: "2603MaxIV_Flat2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV
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NX: 101
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NY: 101
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file_range: [0, 1]
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roi: [0, 101, 0, 101]
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energy: 12 # keV
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normalize: false # for inference dataloaders
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batch_size: 8192
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num_workers: 16
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model:
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base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/"
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experiment_name: "260529_3ph_12keV_v260529_01"
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name: "triplePhoton260529_12keV_E1000.pth"
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inference:
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binning_factor: 10
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chunk_size: 16 #
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num_aug_ops: 1 # augX8 not implemented for 3-photon inference yet
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