改进YOLOv5s的公路隧道烟火检测方法
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马庆禄,鲁佳萍,唐小垚,段学锋
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Improved YOLOv5s flame and smoke detection method in road tunnels
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Qing-lu MA,Jia-ping LU,Xiao-yao TANG,Xue-feng DUAN
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表 2 YOLOv5s-PRO训练数据的统计表 |
Tab.2 Statistical table of YOLOv5s-PRO training data |
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n | Pr | Re | mAP-U | mAP-H | 103 | 0.9612 | 0.8552 | 0.9376 | 0.5240 | 105 | 0.9466 | 0.8656 | 0.9193 | 0.5245 | 104 | 0.9576 | 0.8830 | 0.9287 | 0.5233 | 106 | 0.9634 | 0.8824 | 0.9314 | 0.5224 | 100 | 0.9619 | 0.8763 | 0.9258 | 0.5216 | 88 | 0.9754 | 0.9000 | 0.9279 | 0.5195 | 118 | 0.9685 | 0.8590 | 0.9144 | 0.5206 | 109 | 0.9362 | 0.8603 | 0.9226 | 0.5157 | 82 | 0.9258 | 0.8850 | 0.9307 | 0.5133 | 97 | 0.9270 | 0.8835 | 0.9301 | 0.5127 | 108 | 0.9541 | 0.8679 | 0.9184 | 0.5132 | 114 | 0.9320 | 0.8758 | 0.9257 | 0.5121 | 119 | 0.9458 | 0.8516 | 0.9047 | 0.5144 | 92 | 0.9594 | 0.8445 | 0.9145 | 0.5129 | 107 | 0.9613 | 0.8485 | 0.9205 | 0.5118 | 98 | 0.9140 | 0.8568 | 0.9173 | 0.5112 | 112 | 0.9613 | 0.8254 | 0.9074 | 0.5118 | 96 | 0.9299 | 0.8733 | 0.9225 | 0.5100 | 87 | 0.9509 | 0.8831 | 0.9176 | 0.5104 | 94 | 0.9605 | 0.8530 | 0.9167 | 0.5097 |
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