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Update configs

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xie_x1
2026-07-06 09:24:54 +02:00
parent 0c771f89c3
commit 7c7dc28ce0
3 changed files with 61 additions and 23 deletions
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Configs/infer_1photon.yaml
+11 -8
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@@ -1,23 +1,24 @@
# configs/infer_1photon.yaml
experiment:
name: "KnifeEdge_3filters_pos0" # options: SiemenStarLowerLeft, SiemenStarLowerRight
name: "SiemenStarLowerRight" # options: SiemenStarLowerLeft, SiemenStarLowerRight
task: "1Photon"
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/1Photon_CS3_chunk{}.h5" ### 15 keV
NX: 400
NY: 400
file_range: [0, 1] # [0, 160)
file_range: [0, 16] # [0, 16)
roi: [140, 230, 120, 210] # [x_min, x_max, y_min, y_max]
SiemenStarLowerRight:
file_pattern: "SiemenStarLowerRight/1Photon_CS3_chunk{}.h5" ### 15 keV
NX: 400
NY: 400
file_range: [0, 320] # [0, 320)
file_range: [0, 16] # [0, 16)
roi: [235, 345, 110, 220]
KnifeEdge_3filters_pos0:
file_pattern: "2603MaxIV_Edge3Filters_pos0_12keV/1Photon_CS3_chunk{}.h5" ### 12 keV
@@ -69,12 +70,14 @@ data:
model:
base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/1ph/"
# experiment_name: "260408_1ph_12keV_v251022_03"
# name: "singlePhoton251022_12keV_Noise0.13keV_E150_aug1.pth" ### std/mean = 0.033
experiment_name: "260512_12keV_v260511_06"
name: "singlePhoton260511_12keV_Noise0.13keV_E500_aug1.pth" ### std/mean = 0.025
### 12 keV
# experiment_name: "260512_12keV_v260511_06"
# name: "singlePhoton260511_12keV_Noise0.13keV_E500_aug1.pth"
### 15 keV
experiment_name: "260616_15keV_v260511_00"
name: "singlePhoton260511_15keV_Noise0.13keV_E500_aug1.pth"
inference:
binning_factor: 10
chunk_size: 16 #
chunk_size: 2 #
num_aug_ops: 1 # TTA: test-time augmentation
Configs/infer_2photon.yaml
+12 -8
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@@ -1,24 +1,25 @@
# configs/infer_1photon.yaml
experiment:
name: "KnifeEdge_3filters_pos0" # options: SiemenStarLowerLeft, SiemenStarLowerRight
name: "SiemenStarLowerRight" # options: SiemenStarLowerLeft, SiemenStarLowerRight
task: "2Photon"
output_base: "./InferenceResults"
data:
sample_folder: "/home/xie_x1/MLXID/DataProcess/Samples"
# 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/2Photon_CS6_chunk{}.h5" ### 15 keV
NX: 400
NY: 400
file_range: [0, 1] # [0, 160)
file_range: [0, 16] # [0, 16)
roi: [140, 230, 120, 210] # [x_min, x_max, y_min, y_max]
nSize: 6
SiemenStarLowerRight:
file_pattern: "SiemenStarLowerRight/2Photon_CS6_chunk{}.h5" ### 15 keV
NX: 400
NY: 400
file_range: [0, 320] # [0, 320)
file_range: [0, 8] # [0, 16)
roi: [235, 345, 110, 220]
nSize: 6
KnifeEdge_3filters_pos0:
@@ -78,11 +79,14 @@ data:
model:
base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/2ph"
experiment_name: "260610_12keV_v260610_01"
name: "doublePhoton260610_12keV_Noise0.13keV_E500.pth"
### 12 keV
# experiment_name: "260610_12keV_v260610_01"
# name: "doublePhoton260610_12keV_Noise0.13keV_E500.pth"
### 15 keV
experiment_name: "260622_15keV_v260610_00"
name: "doublePhoton260610_15keV_Noise0.13keV_E1000.pth"
inference:
binning_factor: 10
chunk_size: 16 #
chunk_size: 2 #
num_aug_ops: 1 # augX8 not implemented for 2-photon inference yet
Configs/infer_3photon.yaml
+38 -7
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@@ -1,12 +1,27 @@
# configs/infer_1photon.yaml
experiment:
name: "FlatField_3filters_pos0" # options: SiemenStarLowerLeft, SiemenStarLowerRight
name: "SiemenStarLowerRight" # options: SiemenStarLowerLeft, SiemenStarLowerRight
task: "3Photon"
output_base: "./InferenceResults"
data:
sample_folder: "/home/xie_x1/MLXID/DataProcess/Samples"
# 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
@@ -31,6 +46,18 @@ data:
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
@@ -38,17 +65,21 @@ data:
file_range: [0, 1]
roi: [0, 101, 0, 101]
energy: 12 # keV
normalize: false # for inference dataloaders
batch_size: 8192
num_workers: 16
model:
base_dir: "/home/xie_x1/MLXID/DeepLearning/Results/"
experiment_name: "260529_3ph_12keV_v260529_01"
name: "triplePhoton260529_12keV_E1000.pth"
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: 16 #
chunk_size: 2 #
num_aug_ops: 1 # augX8 not implemented for 3-photon inference yet