Improve resizing by basing it on input image #37
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Improves faceboxes test scores on major benchmarks PASCAL: 97.05% -> 97.28% AFW: 98.55% -> 98.83%
This was referenced Jul 25, 2019
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Improves faceboxes test scores on major benchmarks
PASCAL: 97.05% -> 97.28%
AFW: 98.55% -> 98.83%
I really didn't like these magic numbers for each dataset, so instead I targeted a min face size of ~15-20 pixels between eyes as it is trained which is met by 800 pixels image. This corresponds to an optimal score in the benchmarks, with least resizing.