add ability to use batch noise correction during training
This commit is contained in:
1 parent
b04c64e0f8
commit
06ef3d343a
2 files changed
+19
No files matched your search
@@ -398,6 +398,10 @@ class TrainConfig:
|
||||
self.target_noise_multiplier = kwargs.get('target_noise_multiplier', 1.0)
|
||||
self.random_noise_multiplier = kwargs.get('random_noise_multiplier', 0.0)
|
||||
self.do_signal_correction_noise = kwargs.get('do_signal_correction_noise', False)
|
||||
# batch noise correction adds other images in the batch as noise to correct away from other images
|
||||
self.do_batch_noise_correction = kwargs.get('do_batch_noise_correction', False)
|
||||
self.batch_noise_correction_scale = kwargs.get('batch_noise_correction_scale', 0.1)
|
||||
|
||||
self.signal_correction_noise_scale = kwargs.get('signal_correction_noise_scale', 1.0)
|
||||
self.random_noise_shift = kwargs.get('random_noise_shift', 0.0)
|
||||
self.img_multiplier = kwargs.get('img_multiplier', 1.0)
|
||||
|
||||
Reference in new issue
Block a user