8f43927575
examples/ is based on KasperskyLab/knp at 55470ed6 with local changes to the mnist-learn altai/blifat models, cuda-backend CMake and model_loader. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
14 lines
655 B
Python
14 lines
655 B
Python
"""Implementation probe on old validation only, never on either test split."""
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import json
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from pathlib import Path
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import subprocess
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import sys
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root = Path('/home/int/run/cats-dogs')
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for kind in ('hog', 'hybrid'):
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for threshold in (20, 60, 150):
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name = f'probe_{kind}_{threshold}'
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subprocess.run([sys.executable, '/mnt/c/KNP/cats-dogs/run.py', name,
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'--data-dir', str(root / 'pilot-features'), '--dataset', f'{kind}_validation',
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'--train', '800', '--count', '200', '--threshold', str(threshold)], check=True)
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print(name, (root / name / 'metrics.json').read_text(), flush=True)
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