基于深度学习LPRnet算法实现的车牌识别车标识别检测系统python源码+模型+项目部署说明(毕设新项目).zip

0/149 4.48G 0.0969 0.01887 0.05033 0.1661 23 640 0.06838 0.1243 0.08465 0.03568 0.05233 0.01721 0.047 1/149 5.48G 0.05343 0.01406 0.03896 0.1064 26 640 0.2541 0.7189 0.5417 0.2695 0.0446 0.01075 0.03005 2/149 5.48G 0.04741 0.009599 0.02544 0.08245 26 640 0.3836 0.8634 0.6894 0.3606 0.0376 0.007616 0.02097 3/149 5.48G 0.04685 0.00791 0.01868 0.07344 25 640 0.5154 0.8981 0.8026 0.4053 0.03941 0.007243 0.01377 4/149 5.48G 0.0496 0.007369 0.01233 0.06929 17 640 0.4475 0.9418 0.8829 0.4979 0.04122 0.006075 0.007336 5/149 5.48G 0.04482 0.00673 0.009983 0.06153 26 640 0.5018 0.9236 0.876 0.5322 0.03565 0.006209 0.01042 6/149 5.48G 0.04243 0.006614 0.009047 0.05809 25 640 0.5098 0.9345 0.8846 0.4708 0.03759 0.006096 0.007843 7/149 5.48G 0.04013 0.006667 0.009156 0.05595 21 640 0.4089 0.7669 0.7155 0.3801 0.0409 0.008021 0.01579 8/149 5.48G 0.03884 0.007202 0.01144 0.05749 24 640 0.2208 0.7213 0.594 0.3097 0.04112 0.01172 0.02194 9/149 5.48G 0.03719 0.006989 0.0102 0.05437 23 640 0.4654 0.8186 0.7913 0.4524 0.03503 0.007367 0.01485 10/149 5.48G 0.03439 0.006429 0.008038 0.04886 22 640 0.5987 0.9356 0.9211 0.545 0.03059 0.004981 0.004647 11/149 5.48G 0.03394 0.006072 0.007631 0.04765 25 640 0.6635 0.9279 0.9183 0.5556 0.03172 0.004981 0.004773 12/149 5.48G 0.03245 0.005684 0.006267 0.0444 29 640 0.689 0.9491 0.9404 0.5807 0.02869 0.004877 0.003677 13/149 5.48G 0.03126 0.005442 0.005831 0.04253 24 640 0.6657 0.9543 0.95 0.5598 0.02889 0.00482 0.002958 14/149 5.48G 0.0295 0.005212 0.004754 0.03946 27 640 0.7824 0.9497 0.9513 0.6262 0.02583 0.004422 0.002922 15/149 5.48G 0.02856 0.00505 0.004151 0.03777 24 640 0.7659 0.9594 0.9566 0.6372 0.02549 0.004239 0.002253 16/149 5.48G 0.02867 0.004774 0.003742 0.03718 22 640 0.7994 0.9637 0.9601 0.6688 0.02239 0.00408 0.001925 17/149 5.48G 0.02801 0.004903 0.003764 0.03668 20 640 0.8247 0.9573 0.9541 0.6364 0.02587 0.00415 0.001798 18/149 5.48G 0.02731 0.00473 0.00361 0.03565 19 640 0.8448 0.9652 0.9669 0.6713 0.02401 0.004035 0.001776 19/149 5.48G 0.02612 0.00461 0.003147 0.03388 28 640 0.8139 0.9586 0.9648 0.6727 0.02465 0.004005 0.001923 20/149 5.48G 0.0254 0.004574 0.003008 0.03299 26 640 0.8615 0.9667 0.9672 0.6843 0.02226 0.003908 0.001582 21/149 5.48G 0.02534 0.004437 0.00302 0.0328 19 640 0.8386 0.9681 0.9666 0.6643 0.02309 0.003974 0.001857 22/149 5.48G 0.0259 0.004439 0.003134 0.03347 33 640 0.8369 0.9697 0.9685 0.6826 0.02231 0.003865 0.001412 23/149 5.48G 0.02469 0.004347 0.002752 0.03179 19 640 0.8879 0.9691 0.9691 0.6846 0.02217 0.003737 0.001373 24/149 5.48G 0.02503 0.004296 0.002629 0.03195 30 640 0.7868 0.9651 0.9637 0.6895 0.02119 0.003893 0.001536 25/149 5.48G 0.02446 0.004418 0.003164 0.03204 25 640 0.7934 0.949 0.957 0.6754 0.0222 0.004075 0.003564 26/149 5.48G 0.0244 0.004497 0.003501 0.0324 22 640 0.7133 0.9589 0.9579 0.6712 0.02192 0.004048 0.001977 27/149 5.48G 0.02425 0.004445 0.003068 0.03176 26 640 0.8686 0.9605 0.9646 0.6904 0.02086 0.003747 0.00185 28/149 5.48G 0.02412 0.004294 0.002719 0.03113 24 640 0.8653 0.9677 0.9678 0.662 0.02245 0.003812 0.001153 29/149 5.48G 0.02322 0.004162 0.002454 0.02984 25 640 0.8481 0.9712 0.9718 0.7167 0.02092 0.003742 0.00117 30/149 5.48G 0.02356 0.004164 0.002553 0.03027 24 640 0.785 0.9682 0.9682 0.7131 0.02022 0.003822 0.001286 31/149 5.48G 0.02306 0.004168 0.002418 0.02965 22 640 0.8095 0.9712 0.9716 0.7223 0.01873 0.00373 0.001143 32/149 5.48G 0.02302 0.004271 0.002689 0.02998 25 640 0.8538 0.9648 0.9661 0.6979 0.02071 0.003815 0.001423 33/149 5.48G 0.02291 0.0043 0.002669 0.02988 17 640 0.8104 0.9689 0.9686 0.7131 0.01922 0.003707 0.001262 34/149 5.48G 0.0226 0.004229 0.002876 0.02971 13 640 0.8583 0.9705 0.9695 0.7111 0.01967 0.00366 0.001112 35/149 5.48G 0.02246 0.004163 0.002591 0.02922 22 640 0.8267 0.9676 0.9697 0.7026 0.02053 0.0038 0.001055 36/149 5.48G 0.02229 0.004126 0.002535 0.02896 29 640 0.8151 0.9712 0.9701 0.7308 0.01956 0.00361 0.001132 37/149 5.48G 0.022 0.004009 0.002192 0.0282 21 640 0.8865 0.9698 0.973 0.725 0.01902 0.003538 0.0009374 38/149 5.48G 0.02187 0.003947 0.002111 0.02793 23 640 0.8817 0.9698 0.972 0.7347 0.01857 0.003499 0.001041 39/149 5.48G 0.02147 0.003978 0.001908 0.02735 25 640 0.8871 0.972 0.9738 0.7366 0.01774 0.003483 0.0009467 40/149 5.48G 0.02143 0.003907 0.001807 0.02714 26 640 0.8734 0.972 0.9725 0.7374 0.0182 0.003461 0.0008748 41/149 5.48G 0.02095 0.003855 0.001722 0.02653 21 640 0.8977 0.972 0.9735 0.7366 0.01751 0.003404 0.0009559 42/149 5.48G 0.02054 0.003767 0.001837 0.02615 34 640 0.8764 0.972 0.9726 0.7528 0.01733 0.0034 0.0009449 43/149 5.48G 0.0202 0.003801 0.001565 0.02557 18 640 0.8994 0.972 0.9738 0.7486 0.01746 0.00332 0.0007988 44/149 5.48G 0.01966 0.003728 0.001561 0.02495 29 640 0.889 0.972 0.9729 0.7555 0.017 0.003353 0.0008052 45/149 5.48G 0.02008 0.003751 0.001719 0.02555 25 640 0.8559 0.9712 0.9721 0.7541 0.01666 0.003365 0.0008772 46/149 5.48G 0.01991 0.003731 0.00167 0.02531 22 640 0.8779 0.972 0.9733 0.7593 0.01671 0.003337 0.0008793 47/149 5.48G 0.01995 0.00365 0.001637 0.02524 28 640 0.8968 0.972 0.9739 0.7582 0.01681 0.003311 0.0007981 48/149 5.48G 0.01921 0.003631 0.001553 0.02439 29 640 0.9034 0.972 0.9736 0.7687 0.01619 0.003221 0.0007232 49/149 5.48G 0.01962 0.003659 0.001718 0.025 21 640 0.9159 0.972 0.9727 0.7655 0.01609 0.003274 0.0007069 50/149 5.48G 0.01915 0.003615 0.001494 0.02426 27 640 0.8836 0.972 0.9729 0.7665 0.01596 0.003253 0.0008397 51/149 5.48G 0.01926 0.003528 0.001454 0.02424 28 640 0.9232 0.972 0.9739 0.7738 0.0162 0.00324 0.0008049 52/149 5.48G 0.01966 0.003656 0.001518 0.02483 25 640 0.8956 0.9712 0.9734 0.7696 0.01609 0.0033 0.00102