facebookresearch / selavi
This repo covers the implementation for Labelling unlabelled videos from scratch with multi-modal self-supervision, which learns clusters from multi-modal data in a self-supervised way.
Summary
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| Main Code: 4,519 LOC (24 files) = PY (85%) + JS (4%) + YML (3%) + CSS (3%) + HTML (2%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 103 LOC (1); Other: 210 LOC (3); |
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| Duplication: 10% | |||
| File Size: 0% long (>1000 LOC), 29% short (<= 200 LOC) | |||
| Unit Size: 17% long (>100 LOC), 35% short (<= 10 LOC) | |||
| Conditional Complexity: 8% complex (McCabe index > 50), 50% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (5 components) | ||
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1 year, 2 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: 2021-04-27
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