awslabs / photo-search-on-aws
The Photo Search on AWS solution leverages Amazon Rekognition's artificial intelligence (AI) and machine learning (ML) capabilities to search through your library of images and help find the right photos efficiently. The solution allows you to find a right match for a celebrity, politician, CEO, or a field expert from your large library of photographs for immediate use in relation to a newsworthy event.
Summary
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| Main Code: 3,408 LOC (61 files) = TS (56%) + TSX (36%) + JS (3%) + SCSS (2%) + HTML (<1%) Secondary code: Test: 1,357 LOC (11); Generated: 39,274 LOC (5); Build & Deploy: 244 LOC (2); Other: 39,969 LOC (30); |
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| Duplication: 8% | |||
| File Size: 0% long (>1000 LOC), 86% short (<= 200 LOC) | |||
| Unit Size: 65% long (>100 LOC), 12% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 50% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (16 components) | ||
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3 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: 2022-01-27
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6
commits
(30 days)
4
contributors
(30 days) |
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