SkyLi
fd1a5f4050
- Add YOLO-based infrared thermal image detection system - Add dataset configuration (dataset.yaml) with 12 equipment classes - Add training, validation and detection scripts - Add temperature feature extraction and fault diagnosis modules - Update README and CLAUDE.md with correct dataset paths - Optimize .gitignore to track dataset.yaml while ignoring large data files
19 lines
332 B
YAML
19 lines
332 B
YAML
path: /home/sky/files/PythonProjects/InfraredFault/2BaseOnYOLO_InfraredData/data
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train: train/images
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val: valid/images
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nc: 12
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names:
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0: bushing
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1: arrester
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2: breaker
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3: clamp
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4: conservator
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5: current-transformer
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6: disconnector
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7: disconnector2
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8: disconnector3
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9: heat-sink
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10: insulator
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11: transformer
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