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training.config_params: flip_index needed for scaling_flip, too

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Robert Sachunsky 2026-02-24 20:36:00 +01:00
parent abf111de76
commit 658dade0d4
1 changed files with 2 additions and 2 deletions
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src/eynollah/training/train.py
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@ -237,8 +237,6 @@ def config_params():
augmentation = False # To apply any kind of augmentation, this parameter must be set to true. augmentation = False # To apply any kind of augmentation, this parameter must be set to true.
if augmentation: if augmentation:
flip_aug = False # Whether different types of flipping will be applied to the image. Requires "flip_index" setting. flip_aug = False # Whether different types of flipping will be applied to the image. Requires "flip_index" setting.
if flip_aug:
flip_index = None # List of codes (as in cv2.flip) for flip augmentation.
blur_aug = False # Whether images will be blurred. Requires "blur_k" setting. blur_aug = False # Whether images will be blurred. Requires "blur_k" setting.
if blur_aug: if blur_aug:
blur_k = None # Method of blurring (gauss, median or blur). blur_k = None # Method of blurring (gauss, median or blur).
@ -254,6 +252,8 @@ def config_params():
scaling_flip = False # Whether a combination of scaling and flipping will be applied to the image. scaling_flip = False # Whether a combination of scaling and flipping will be applied to the image.
if scaling or scaling_brightness or scaling_bluring or scaling_binarization or scaling_flip: if scaling or scaling_brightness or scaling_bluring or scaling_binarization or scaling_flip:
scales = None # Scale patches for augmentation. scales = None # Scale patches for augmentation.
if flip_aug or scaling_flip:
flip_index = None # List of codes (as in cv2.flip) for flip augmentation.
shifting = False shifting = False
brightening = False # Whether images will be brightened. Requires "brightness" setting. brightening = False # Whether images will be brightened. Requires "brightness" setting.
if brightening: if brightening: