Jonas
65155ce22e
Add top-level README, .gitignore, and per-component directories (recording, labeling backend/frontend, training, inference, control) with READMEs and pyproject.toml/package skeletons per CLAUDE.md §2-3. No implementation yet, just structure to build against. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
20 lines
562 B
Markdown
20 lines
562 B
Markdown
# Detection Model Training
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Per-set training pipeline for the anchor-free, center-heatmap-based (CenterNet-style)
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CNN detectors — one model per label set (Enemy, Items, Traps, ...). Custom, small/
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efficient architectures sized around the overall 66ms/tick inference budget. Includes
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KPI evaluation (precision, recall, mAP-equivalent for the heatmap formulation) against
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held-out labeled data.
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See CLAUDE.md §3.3–3.4 for full requirements.
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**Status:** not yet implemented.
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## Setup
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```
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python -m venv .venv
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source .venv/bin/activate
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pip install -e .
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```
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