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v0.13.1 — Telegram push, panel cleanup, config cleanup
Dashboard and notification polish around the trained-model deployment:
- Telegram push (optional): detections AND print-state changes
(paused / filament switch / aborted / finished / error) as one-liners
with a camera frame —TELEGRAM_TOKEN+TELEGRAM_CHAT_IDin
/etc/pycentauri.conf. - Layer-aware training-frame collection: first layers densely, then
evenly spread per layer change across the whole print. - Service config: env vars dropped the
PYCENTAURI_prefix
(HOST,PORT,DETECT,TELEGRAM_TOKEN, ...) — existing configs
needsed 's/PYCENTAURI_//g'(installer knobs unchanged). - DETECT panel: training-data UI moved out of the panel
(POST /api/detect/collect); fork notice + upstream credit added to
the README. - Edge-TPU-compiled v1 model ships in the v0.13.0 release assets.