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Images from the binary dataset result in multiple classes after augmentation #344

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yalaudah opened this issue Jun 4, 2020 · 1 comment
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Images from the binary dataset result in multiple classes after augmentation #344

yalaudah opened this issue Jun 4, 2020 · 1 comment
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yalaudah commented Jun 4, 2020

Investigate why the binary dataset can have multiple classes around the boundary (probably from interpolation), resulting in an image with 4 classes, instead of 2. This is clear in the example images below:
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yalaudah commented Jun 4, 2020

This is an issue related to using linear interpolation for the images. This is a non-issue in my mind, and we should not change the code to "fix" it.

@yalaudah yalaudah added the Type: Wontfix This will not be worked on label Jun 4, 2020
@yalaudah yalaudah self-assigned this Jun 4, 2020
@yalaudah yalaudah closed this as completed Jun 4, 2020
@yalaudah yalaudah mentioned this issue Jun 4, 2020
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