confusable-vision takes the 1,418 TR39 confusable pairs that map a non-Latin character to a Latin target (a-z, 0-9), renders both characters across every available system font, and computes SSIM for each pairing. The output is a scored JSON artifact: one continuous similarity score per pair, per font.
What kind of machine are we assuming: Are we running this locally? What are the specs of the machine? Are we assuming the vectors come to us in a specific, optimized format?Do we have GPUs and are we allowed to use them?
。新收录的资料是该领域的重要参考
讲述人：深圳市恒天吉科技技术发展有限公司董事长 肖汉宇
9│ AL4 │ 0DE │ 335.39 thousand │
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