Upload 6 files

motion/checkpoint.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cca848fc7b81994c980734cbd7b1bad30add90a2589b2d231a89e79ab46fbebe
+size 200594101

motion/model_config.yaml

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+inform_amp: 0
+inform_fc: 0
+model: rescondnet
+model_size: 2
+norm_kwargs:
+  momentum: 0.1
+  track_running_stats: false
+  use_bn: false
+  use_gn: false
+  use_in: true
+ckpt_path: /home/minhhai/Works/blind_deblurring/microscope/inference/weights/final_weight_invariant_id/motion/iteration_0400000_avg_loss_8.102e-01.pth
+  
+

motion/training_config.yaml

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+batch_size: 256
+color: false
+config: default_config
+data_norm: quantile
+dataset:
+- image_net
+description: Config file of the patch identification
+fc:
+- 0.125
+- 0.25
+gain_min: 8
+gradient_accumulation_steps: 1
+image_size:
+- 256
+- 256
+inform_amp: 0
+inform_fc: 0
+infras: jz
+lambda_loss: 0.5
+load_ckpt_path: null
+loss: l1_operator
+max_zernike_amplitude:
+- 0.1
+- 0.3
+mixed_precision: 'no'
+model: rescondnet
+model_size: 2
+momentum: 0.1
+motion_blur: 1.0
+motion_l:
+- 0.1
+- 0.3
+motion_sigma:
+- 0.05
+- 0.25
+noise:
+  bit_depth: 16
+  gain_min: 8
+  log_uniform_gain: true
+  log_uniform_sigma: true
+  salt_and_pepper: 1.0e-05
+  sigma_max: 5
+  sigma_min: 0.5
+num_epochs: 100
+psf_size:
+- 51
+- 51
+pupil_size:
+- 1024
+- 1024
+range_zernike:
+- 4
+- 12
+requeue: 1
+save_dir: /lustre/fswork/projects/rech/qmj/commun/blind_deblurring_deepinv/patch_identification/./save/motion/medium_noinform_quantile/
+save_interval: 5000
+save_top_k: 5
+seed: null
+track_running_stats: 0
+training:
+  batch_size: 256
+  clip_grad_norm: false
+  finite_grad: true
+  gradient_accumulation_steps: 1
+  lr: 0.0001
+  lr_warmup_steps: 1000
+  mixed_precision: 'no'
+  num_epochs: 100
+  save_image_interval: 5000
+  save_interval: 5000
+use_bn: 0
+use_gn: 0
+use_in: 1

motion_x_z3_z16/checkpoint.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a90f7b71f1535c973197c33c1c64e5f3a6b77ede88dc58a0b167cf8fa3c762e1
+size 200594101

motion_x_z3_z16/model_config.yaml

@@ -0,0 +1,10 @@
+inform_amp: 0
+inform_fc: 0
+model: rescondnet
+model_size: 2
+norm_kwargs:
+  momentum: 0.1
+  track_running_stats: false
+  use_bn: false
+  use_gn: false
+  use_in: true

motion_x_z3_z16/training_config.yaml

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+batch_size: 256
+color: false
+config: default_config
+data_norm: quantile
+dataset:
+- image_net
+description: Config file of the patch identification
+fc:
+- 0.125
+- 0.25
+gain_min: 8
+gradient_accumulation_steps: 1
+image_size:
+- 256
+- 256
+inform_amp: 0
+inform_fc: 0
+infras: jz
+lambda_loss: 0.5
+load_ckpt_path: null
+loss: l1_operator
+max_zernike_amplitude:
+- 0.1
+- 0.3
+mixed_precision: 'no'
+model: rescondnet
+model_size: 2
+momentum: 0.1
+motion_blur: 0.3
+motion_l:
+- 0.1
+- 0.3
+motion_sigma:
+- 0.05
+- 0.25
+noise:
+  bit_depth: 16
+  gain_min: 8
+  log_uniform_gain: true
+  log_uniform_sigma: true
+  salt_and_pepper: 1.0e-05
+  sigma_max: 5
+  sigma_min: 0.5
+num_epochs: 100
+psf_size:
+- 51
+- 51
+pupil_size:
+- 1024
+- 1024
+range_zernike:
+- 4
+- 16
+requeue: 1
+save_dir: /lustre/fswork/projects/rech/qmj/commun/blind_deblurring_deepinv/patch_identification/./save/motion_x_diffraction_large/medium_noinform_quantile/
+save_interval: 5000
+save_top_k: 5
+seed: null
+track_running_stats: 0
+training:
+  batch_size: 256
+  clip_grad_norm: false
+  finite_grad: true
+  gradient_accumulation_steps: 1
+  lr: 0.0001
+  lr_warmup_steps: 1000
+  mixed_precision: 'no'
+  num_epochs: 100
+  save_image_interval: 5000
+  save_interval: 5000
+use_bn: 0
+use_gn: 0
+use_in: 1