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6ae24cb14d
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Add PyTorch/ONNX prediction models with physics fallback
- Train 3 MLP networks (acid speed 14→1, tension 4→10, quality 6→2)
on 12,000 synthetic samples generated from physics models + noise
- Export pre-trained ONNX models to pt_models/ directory
- Rewrite prediction.py: ONNX inference first, physics fallback if unavailable
- Add onnxruntime + numpy to requirements.txt (Aliyun mirror for Docker)
- Use Tsinghua mirror in Dockerfile for pip installs
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-05-27 17:31:25 +08:00 |
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