aws-samples / aws-autonomous-driving-data-lake-mwaa-ros-bag-image-extraction-pipeline
AWS Sample for processing ROS bag files to detect objects within exported images. The solution draws bounding boxes for the detected objects within the exported images.
Summary
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| Main Code: 3,305 LOC (20 files) = PY (99%) + LAUNCH (<1%) + YAML (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 51 LOC (4); Other: 162 LOC (5); |
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| Duplication: 58% | |||
| File Size: 60% long (>1000 LOC), 18% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 37% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 66% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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12 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) | |||
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Features of interest:
TODOs
1 file |
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Latest commit date: 2021-10-05
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(30 days)
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