HVC-Tunnel-Multimodal/Infrared-ai-research-lab
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3 Commits

Author SHA1 Message Date
SkyLi 085cbc9950 fix: optimize diagnosis output format and fix inconsistency between fault_status and fault_type 
1. 输出格式优化:
   - faults中移除冗余的bbox和confidence字段
   - summary中fault_count改名为detection_count

2. fault_status与fault_type逻辑统一:
   - normal状态时fault_type为'none'，不再使用'suspect'
   - abnormal状态时才进行故障类型分类(hotspot/local_overheating/overheat)

3. 修复usage_example.py图像通道问题:
   - YOLO检测使用彩色图，温度提取时再转灰度图
 2026-03-27 12:03:48 +08:00
SkyLi 45fd5c5663 chore: update dataset config for 12-class training 
- 新数据集：12类电力设备红外图像（bushing, arrester, breaker等）
- 训练集：6735张，验证集：765张（删除2张越界标签图像）
- YOLOv8n模型训练50 epochs
- 验证结果：mAP@0.5=76.42%, mAP@0.5:0.95=61.64%
- 更新PROGRESS.md记录
 2026-03-27 00:16:21 +08:00
SkyLi fd1a5f4050 chore: initial commit for Infrared Equipment Detection System 
- 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
 2026-03-26 21:36:08 +08:00