Ethanfel
12ed183f1b
- Remove legacy distance-mode scanning (build_profile, _similarity, etc.) and hand-crafted intensity features — pipeline is now embedding-only - Integrate Microsoft BEATs as embedding option alongside wav2vec2/HuBERT - Add TrainDialog with positive class selector, model picker, video dir fallback, and live training stats - Add TrainWorker QThread with cancel support and proper lifecycle cleanup - Add source_path column to DB for robust source video tracking - Add get_export_folders/get_training_data/get_training_stats to DB - Wire source_path in all export DB writes (_on_clip_done, _on_auto_clip_done) - Cancel scan/train workers in closeEvent to prevent use-after-free crashes - Add setup_env.sh supporting both conda and python venv (CUDA 12.8) - Update requirements.txt with all actual dependencies - Update 8cut_train.py with --positive flag for new DB-driven training Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
26 lines
385 B
Plaintext
26 lines
385 B
Plaintext
# Core GUI
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PyQt6>=6.4
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python-mpv>=1.0
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# Audio & ML
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librosa>=0.10
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numpy>=1.24
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scikit-learn>=1.3
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joblib>=1.3
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soundfile>=0.12
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# Deep learning (torch installed separately for CUDA support)
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# torch and torchaudio are installed via --index-url in setup_env.sh
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torchaudio>=2.0
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# Object detection
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ultralytics>=8.0
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# Server API
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fastapi>=0.100
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pydantic>=2.0
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uvicorn>=0.23
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# Dev
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pytest>=7.0
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