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It is possible that ripple remover and potentially template matching will benefit from kernel sizes derived from image proportions rather than a 'one size fits all' solution. Currently @crangelsmith has in place an algorithim which seperates profile, dorsal, platform, etc. surfaces based on size. Can we use these to create a function which generates a proportional kernel? A new file - kustom_kernel.py has been created in 'scripts' folder under the scripts branch.
The text was updated successfully, but these errors were encountered:
It is possible that ripple remover and potentially template matching will benefit from kernel sizes derived from image proportions rather than a 'one size fits all' solution. Currently @crangelsmith has in place an algorithim which seperates profile, dorsal, platform, etc. surfaces based on size. Can we use these to create a function which generates a proportional kernel? A new file - kustom_kernel.py has been created in 'scripts' folder under the scripts branch.
The text was updated successfully, but these errors were encountered: