# configs/infer_1photon.yaml experiment: name: "SiemenStarLowerRight" # options: SiemenStarLowerLeft, SiemenStarLowerRight task: "3Photon" output_base: "./InferenceResults" data: # sample_folder: "/home/xie_x1/MLXID/DataProcess/Samples" sample_folder: "/mnt/sls_det_storage/moench_data/MLXID/Samples/Measurement" ### for SiemenStarLowerRight names: SiemenStarLowerLeft: file_pattern: "SiemenStarLowerLeft/3Photon_CS9_chunk{}.h5" ### 15 keV NX: 400 NY: 400 file_range: [0, 16] # [0, 16) roi: [140, 230, 120, 210] # [x_min, x_max, y_min, y_max] nSize: 9 SiemenStarLowerRight: file_pattern: "SiemenStarLowerRight/3Photon_CS9_chunk{}.h5" ### 15 keV NX: 400 NY: 400 file_range: [0, 8] # [0, 16) roi: [235, 345, 110, 220] # [x_min, x_max, y_min, y_max] nSize: 9 KnifeEdge_3filters_pos0: file_pattern: "2603MaxIV_Edge3Filters_pos0_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV NX: 101 NY: 101 file_range: [0, 16] # [0, 16) roi: [0, 101, 0, 101] FlatField_3filters_pos0: file_pattern: "2603MaxIV_FlatField3Filters_pos0_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV NX: 101 NY: 101 file_range: [0, 16] # [0, 16) roi: [0, 101, 0, 101] KnifeEdge_2filters: file_pattern: "2603MaxIV_Edge2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV NX: 101 NY: 101 file_range: [0, 16] # [0, 16) roi: [0, 101, 0, 101] FlatField_2filters: file_pattern: "2603MaxIV_Flat2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV NX: 101 NY: 101 file_range: [0, 16] # [0, 16) roi: [0, 101, 0, 101] KnifeEdge_1filters: file_pattern: "2603MaxIV_Edge1Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV NX: 101 NY: 101 file_range: [0, 16] # [0, 16) roi: [0, 101, 0, 101] FlatField_1filters: file_pattern: "2603MaxIV_Flat1Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV NX: 101 NY: 101 file_range: [0, 16] # [0, 16) roi: [0, 101, 0, 101] Uniformity_test: file_pattern: "2603MaxIV_Flat2Filters_12keV/3Photon_CS9_chunk{}.h5" ### 12 keV NX: 101 NY: 101 file_range: [0, 1] roi: [0, 101, 0, 101] normalize: false # for inference dataloaders batch_size: 8192 num_workers: 16 model: base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/3ph" ### 12 keV # experiment_name: "260611_12keV_v260611_00" # name: "triplePhoton260611_12keV_E500.pth" ### 15 keV experiment_name: "260623_15keV_v260611_00" name: "triplePhoton260611_15keV_E500.pth" inference: binning_factor: 10 chunk_size: 2 # num_aug_ops: 1 # augX8 not implemented for 3-photon inference yet