When shape similarity lies: size-ratio artifacts in confusable detection Confusable detection pipelines normalise characters to a fixed canvas before measuring similarity. This hides natural size differences. We re-rendered 2,203 scored pairs (TR39 baseline + novel discoveries) at their original sizes and found 254 with width or height ratios above 2x.
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The cost of migrating a whole team to a custom thing can be expensive and time consuming. I'm definitely talking about this from the perspective of smaller / solo teams. But that said, speaking from experience, I know several middle-sized studios moving to custom engines because they have determined the potential risk of using proprietary engines to be too high, and the migration and learning costs to be worth it. I think using custom stuff for larger teams is easier now than it has been in a long time.
，这一点在91视频中也有详细论述
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