A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they???re adapting to a changing world.
Main Code: 12,626 LOC (221 files) = PY (69%) + CS (8%) + YAML (7%) + JS (5%) + CU (4%) + CPP (2%) + H (1%) + HTML (<1%) + MD (<1%) + PYX (<1%) + CSS (<1%) Secondary code: Test: 343 LOC (7); Generated: 5,305 LOC (4); Build & Deploy: 178 LOC (11); Other: 216,154 LOC (38); |
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Duplication: 16% | |||
File Size: 0% long (>1000 LOC), 80% short (<= 200 LOC) | |||
Unit Size: 5% long (>100 LOC), 54% short (<= 10 LOC) | |||
Conditional Complexity: 2% complex (McCabe index > 50), 68% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (12 components) | ||
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3 years, 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) |
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Features of interest:
TODOs
31 files |
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Latest commit date: 2021-09-08
0
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(30 days)
0
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(30 days) |
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generated by sokrates.dev (configuration) on 2022-01-30