Ethanfel
e1789d4e71
- Fix test_utils.py importing build_annotation_json_path from main instead of core.annotations (all 59 tests pass now) - Fix get_training_data double-counting clips at same start_time in both positive and soft sets — subtract positive from soft - Add cancel_flag to train_classifier so training can be interrupted between videos (TrainWorker passes self as cancel_flag) - Remove orphaned core/export.py (was for deleted server API) - Remove stale Dockerfile and docker-compose.yml (referenced server) - Clean up leftover server/__pycache__ and client/ build artifacts - Add torch to requirements.txt (was only mentioned in comments) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
22 lines
374 B
Plaintext
22 lines
374 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 — install via setup_env.sh for correct CUDA version,
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# or manually: pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu128
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torch>=2.0
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torchaudio>=2.0
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# Object detection
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ultralytics>=8.0
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# Dev
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pytest>=7.0
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