amzn / multimodal-affinities
Official implementation code accompanying the paper: "Learning Multimodal Affinities for Textual Editing in Images".
Summary
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| Main Code: 5,188 LOC (71 files) = PY (100%) Secondary code: Test: 88 LOC (1); Generated: 0 LOC (0); Build & Deploy: 1 LOC (1); Other: 362 LOC (5); |
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| Duplication: 14% | |||
| File Size: 0% long (>1000 LOC), 67% short (<= 200 LOC) | |||
| Unit Size: 3% long (>100 LOC), 45% short (<= 10 LOC) | |||
| Conditional Complexity: 6% complex (McCabe index > 50), 53% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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7 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-08-05
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