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Thank you for your recognition. If you want to increase the input size to 512x512, you only need to modify arguments as follows:
--resize 512
--imagesize 512
Since distribution_judge does not affect the preprocessing of the training images, there is no need for any changes. For the purpose of this function or the selection of different variants, please refer to #6-1. Additionally, if your images are not square-shaped and you wish to output results in the original dimensions, you can refer to #6-2.
Hi Thanks for your great repo.
I want to increase the input size. Like 512. Where do I need to change?
I know that I need to change arguments.
But you set specific size in
So I need to change that or this methods need to use 288 size?
Thanks.
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