轻量化YOLOv5s-OCG的轨枕裂纹检测算法
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董超群,汪战,廖平,谢帅,荣玉杰,周靖淞
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Lightweight YOLOv5s-OCG rail sleeper crack detection algorithm
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Chaoqun DONG,Zhan WANG,Ping LIAO,Shuai XIE,Yujie RONG,Jingsong ZHOU
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| 表 2 YOLOv5s基础实验和改进模块的消融实验结果 |
| Tab.2 Ablation experiment results of YOLOv5s basic experiment and improved module |
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| 编号 | 模型 | ODConv | C3_LIGHT | GFPN | Precision/% | Recall/% | mAP@0.5/% | FPS/(帧·s−1) | P/106 | | 1 | YOLOv5s | — | — | — | 44.4 | 59.7 | 42.9 | 94 | 7.03 | | 2 | YOLOv5s-O | √ | — | — | 45.1 | 61.1 | 44.9 | 91 | 7.03 | | 3 | YOLOv5s-C | — | √ | — | 44.7 | 61.1 | 44.8 | 98 | 5.55 | | 4 | YOLOv5s-G | — | — | √ | 45.8 | 61.8 | 46.2 | 92 | 7.35 | | 5 | YOLOv5s-OC | √ | √ | — | 45.6 | 61.4 | 45.7 | 96 | 5.56 | | 6 | YOLOv5s-OG | √ | — | √ | 45.5 | 61.9 | 46.5 | 92 | 7.35 | | 7 | YOLOv5s-CG | — | √ | √ | 45.9 | 61.8 | 46.3 | 95 | 5.62 | | 8 | YOLOv5s-OCG | √ | √ | √ | 46.2 | 62.1 | 47.1 | 96 | 5.64 |
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