Python:labelme数据集划分-labelme2yolo-yolo多任务训练-pt模型和onnx模型调用和部署

17 0.476614 0.72686 0.490289 0.72426 0.490289 0.70994 0.480026 0.68388 0.46979 0.67084 0.497139 0.66954 0.509108 0.66954 0.522782 0.67866 0.551837 0.693 0.582625 0.71124 0.563806 0.72556 0.601417 0.77246 0.57748 0.80634 0.5621 0.81416 0.565512 0.81936 0.591181 0.81936 0.62706 0.7842 0.640761 0.76986 0.61853 0.75032 0.628793 0.73078 0.645879 0.76596 0.654436 0.77246 0.654436 0.78288 0.632205 0.81286 0.620236 0.82066 0.639029 0.82198 0.647585 0.82198 0.659554 0.80894 0.671522 0.792 0.67664 0.78288 0.698871 0.7907 0.719396 0.79852 0.724514 0.81546 0.753596 0.81416 0.768976 0.80894 0.768976 0.79982 0.748451 0.78288 0.741627 0.77246 0.734777 0.75944 0.707428 0.76204 0.698871 0.75162 0.690341 0.70994 0.673228 0.67996 0.647585 0.65 0.623648 0.63958 0.608268 0.62786 0.576719 0.60782 0.590236 0.5872 0.593622 0.56742 0.601522 0.54766 0.608294 0.53132 0.600394 0.51672 0.600394 0.51672 0.595879 0.515 0.606037 0.51242 0.613937 0.50382 0.604908 0.49952 0.590236 0.48664 0.585722 0.48234 0.572205 0.48062 0.564304 0.47546 0.549633 0.46772 0.531601 0.45656 0.513543 0.45312 0.509029 0.45484 0.506772 0.45828 0.504514 0.46686 0.501129 0.47288 0.501129 0.48234 0.509029 0.48578 0.518058 0.49094 0.522572 0.50382 0.521444 0.50984 0.528215 0.51414 0.525958 0.5236 0.509029 0.54336 0.494357 0.5554 0.487612 0.57086 0.479711 0.5872 0.47294 0.6001 0.468425 0.60868 0.465039 0.61986 0.466168 0.63276 0.457139 0.63876 0.437979 0.64908 0.430079 0.65768 0.426693 0.66198 0.42895 0.668 0.432336 0.6723 0.432336 0.67572 0.434409 0.6953 0.44126 0.70962 0.459029 0.73606 0.473123 0.72962 0.490026 0.72962 17 0.422992 0.64452 0.432283 0.65588 0.432283 0.69136 0.434147 0.72398 0.426693 0.7552 0.413675 0.78784 0.389475 0.80628 0.380157 0.79492 0.391339 0.76796 0.393202 0.72966 0.383885 0.69986 0.357822 0.68284 0.331732 0.67148 0.296378 0.6502 0.279606 0.63318 0.268425 0.60906 0.270289 0.5892 0.275879 0.56224 0.275879 0.54096 0.262861 0.55372 0.214436 0.55514 0.22748 0.5367 0.249816 0.51826 0.25168 0.50832 0.25168 0.49556 0.268425 0.48988 0.292651 0.49556 0.31685 0.51116 0.34664 0.52392 0.372703 0.53244 0.383885 0.54946 0.40063 0.5523 0 0.684357 0.56302 0.692073 0.56694 0.692073 0.58068 0.653491 0.62282 0.636772 0.62674 0.627769 0.63852 0.599449 0.62086 0.562152 0.66596 0.546693 0.66694 0.533832 0.65126 0.53769 0.63754 0.555722 0.64636 0.555722 0.64636 0.581444 0.61302 0.576299 0.60322 0.585302 0.59244 0.614882 0.5944 0.598163 0.5895 0.591732 0.57282 0.600735 0.5444 0.600735 0.52086 0.61874 0.55126 0.654777 0.56204 0.654777 0.54832 0.639344 0.54244 0.645774 0.5346 0.679213 0.5346 0.703675 0.5444 0.706247 0.55518 0.702388 0.56106 0.688215 0.56498 0 0.402493 0.55556 0.409659 0.55146 0.416824 0.54054 0.411444 0.53508 0.400709 0.53236 0.400079 0.52588 0.404961 0.52588 0.420735 0.52264 0.438346 0.52264 0.448661 0.5245 0.458373 0.5305 0.46021 0.53606 0.459606 0.5393 0.454121 0.54438 0.44685 0.5481 0.443202 0.54948 0.445643 0.55642 0.44685 0.5629 0.449869 0.57632 0.446247 0.59066 0.43895 0.60732 0.434094 0.61426 0.424383 0.6212 0.414672 0.62304 0.404331 0.6212 0.383097 0.61332 0.378845 0.61102 0.373386 0.60824 0.362441 0.6235 0.348478 0.64432 0.34727 0.64664 0.333911 0.6485 0.327822 0.64202 0.319948 0.63508 0.31084 0.63184 0.318714 0.62028 0.322362 0.61842 0.335118 0.61888 0.344226 0.60038 0.353937 0.59482 0.36063 0.59066 0.366693 0.5888 0.375801 0.58742 0.394619 0.58788 0.406168 0.59066 0.394619 0.5828 0.389764 0.57724 0.386719 0.5666 0.388556 0.5615 0.398268 0.55688 0 0.329816 0.73472 0.335354 0.73472 0.337927 0.735 0.339764 0.73444 0.341234 0.73162 0.341234 0.72656 0.341234 0.72124 0.341234 0.7159 0.341234 0.7114 0.341234 0.70354 0.341234 0.69764 0.341601 0.69314 0.343832 0.6892 0.344567 0.6864 0.339764 0.68246 0.330551 0.67742 0.324278 0.67376 0.318766 0.6701 0.313228 0.66842 0.313228 0.67236 0.313228 0.67686 0.313963 0.68162 0.315066 0.68416 0.315433 0.68696 0.316903 0.6937 0.318766 0.69932 0.318766 0.70466 0.318031 0.71 0.316535 0.71562 0.315433 0.72264 0.315433 0.72854 0.313228 0.73274 0.313963 0.73528 0.319134 0.73556 0.322441 0.735 0.324278 0.73218 0.325381 0.72656 0.326115 0.72124 0.325381 0.71506 0.325381 0.70972 0.328346 0.70438 0.330184 0.70156 0.328346 0.70888 0.331286 0.71478 0.333858 0.71814 0.335354 0.7218 0.334987 0.72628 0.332388 0.72882 0.330184 0.73106 0.330184 0.73106 0.330184 0.73106 0.330184 0.73106 0.330184 0.73106 0.330184 0.73106 58 0.543123 0.94684 0.690341 0.94538 0.715512 0.90256 0.707769 0.88928 0.690341 0.87452 0.651601 0.85976 0.601234 0.85238 0.562493 0.85534 0.554751 0.85976 0.547008 0.86568 0.535381 0.88044 0.52958 0.88928 0.533438 0.9188 0 0.760367 0.71518 0.766325 0.71778 0.770157 0.72166 0.774856 0.71874 0.771444 0.71226 0.768451 0.70414 0.767192 0.69342 0.766325 0.6892 0.767192 0.68726 0.768031 0.6814 0.765066 0.67654 0.762493 0.67492 0.762913 0.66972 0.758241 0.6668 0.752283 0.67004 0.753123 0.6746 0.746299 0.67978 0.749711 0.68596 0.750131 0.68856 0.750577 0.69666 0.750997 0.70544 0.751837 0.71258 0.751417 0.71972 0.75399 0.71972 0 0.501942 0.68184 0.501312 0.67528 0.506089 0.67262 0.507979 0.66874 0.512126 0.66874 0.513727 0.67018 0.515643 0.67334 0.519764 0.67698 0.520105 0.67942 0.520105 0.68086 0.501942 0.68184 0.501627 0.68378 0.501627 0.69008 0.504488 0.693 0.507664 0.69786 0.507349 0.70416 0.503202 0.71192 0.503858 0.71556 0.507349 0.71484 0.511811 0.70294 0.509895 0.69276 0.511181 0.69252 0.513727 0.71362 0.516588 0.71436 0.515643 0.69762 0.517533 0.68426 0.501627 0.68378 0 0.925564 0.68328 0.926089 0.67936 0.920157 0.67956 0.91399 0.67778 0.910131 0.67386 0.914751 0.67014 0.920157 0.67054 0.922231 0.67308 0.92378 0.67426 0.924278 0.67328 0.925564 0.67132 0.92916 0.66856 0.93252 0.6672 0.944882 0.6668 0.946667 0.66974 0.948976 0.67446 0.946667 0.67994 0.944357 0.68446 0.944357 0.68524 0.937927 0.6825 0.926089 0.68366