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Add 2nd Elix video per word (143 samples) + one-command run.sh
- elix_train.py: --skip/--count, re-encode dedupe; 62 words now have 2 samples (143 total across 72 glosses) for better DTW generalisation. - The Python web app + CLI already load signs/lsf_signs.json, so they're pre-trained out of the box. Add run.sh: venv bootstrap + serve in one command. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>3b55737 -
Pre-train 72 LSF signs from Elix dictionary videos
Add tools/elix_train.py: fetches each catalogue word's reference sign video from dico.elix-lsf.fr and trains a DTW template via the existing pipeline. 72/81 words now ship pre-trained in signs/lsf_signs.json (the 9 misses are multi-word phrases). Polite (rate-limited, UA-identified; robots.txt permits crawling). Templates are abstract landmark data for personal use — the videos themselves are not stored. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>54effa2
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Initial commit: LSF (French Sign Language) interpreter
Browser-camera Django web app + core pipeline: - MediaPipe Holistic landmarks (fingers/eyes/mouth/chest/arms) + JS skeleton overlay - DTW learn-by-example recognizer, ~80-word LSF lexicon with Elix video links - Client-side dual-pixel sensor detection (Pixel devices) - Video-clip importer for batch "pre-training" - Dockerised + Hugging Face Space ready (gunicorn + whitenoise) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>5029d29