aws-samples / aws-iot-greengrass-v2-deploy-nvidia-deepstream
How to use AWS IoT Greengrass V2 for Image classification and Video Analytics Pipelines
Summary
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| Main Code: 2,146 LOC (16 files) = PY (58%) + H (32%) + META (9%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 198 LOC (3); Other: 611 LOC (13); |
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| Duplication: 38% | |||
| File Size: 0% long (>1000 LOC), 53% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 30% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 77% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (7 components) | ||
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1 year 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: 2021-05-21
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