aws-samples / amazon-rekognition-custom-labels-batch-processing
This project contains source code and supporting files for a serverless application which can be used for Computer Vision inferencing using Amazon Rekognition.
Summary
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| Main Code: 481 LOC (12 files) = YAML (63%) + PY (36%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 116 LOC (3); |
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| Duplication: 18% | |||
| File Size: 0% long (>1000 LOC), 36% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 9% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 53% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (7 components) | ||
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1 year, 1 month 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: 2021-05-06
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