赞
踩
操作系统版本
- :~$ cat /etc/*release
- DISTRIB_ID=Ubuntu
- DISTRIB_RELEASE=18.04
- DISTRIB_CODENAME=bionic
- DISTRIB_DESCRIPTION="Ubuntu 18.04.5 LTS"
- NAME="Ubuntu"
- VERSION="18.04.5 LTS (Bionic Beaver)"
- ID=ubuntu
- ID_LIKE=debian
- PRETTY_NAME="Ubuntu 18.04.5 LTS"
- VERSION_ID="18.04"
- HOME_URL="https://www.ubuntu.com/"
- SUPPORT_URL="https://help.ubuntu.com/"
- BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
- PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
- VERSION_CODENAME=bionic
- UBUNTU_CODENAME=bionic
![](https://csdnimg.cn/release/blogv2/dist/pc/img/newCodeMoreWhite.png)
docker版本
- :~$ sudo docker -v
- Docker version 19.03.6, build 369ce74a3c
英伟达 显卡驱动,用的是1070TI显卡 ,安装的最新的显卡驱动,下载地址:linux ubuntu18.04 英伟达驱动 实测能装上 识别1080ti 1070ti显卡 NVIDIA-Linux-x86_64-460.39.run
$ nvidia-smi Sat Feb 27 12:29:48 2021 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 460.39 Driver Version: 460.39 CUDA Version: 11.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 GeForce GTX 107... Off | 00000000:82:00.0 Off | N/A | | 31% 33C P0 33W / 180W | 0MiB / 8119MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+
sudo docker pull ultralytics/yolov5:latest
官方给的v4.0版本的docker 镜像有14.5GB,下载比较慢,这里save为文件,放到云盘上,可以云盘下载:https://download.csdn.net/download/jrckkyy/15506644
python train.py # train a model
1070ti的显卡训练了大概半小时,训练出来的模型有14MB,下载地址:yolov5 v4.0 gpu上训练出来的模型文件
以下是在训练集上的模型情况
confusion_matrix:
F1_curve:
labels:
labels_correlogram:
P_curve:
PR_curve:
R_curve:
results:
results.txt:
0/299 3.14G 0.04221 0.06901 0.01905 0.1303 224 640 0.6394 0.6359 0.6584 0.4275 0.04035 0.03989 0.013 1/299 7.29G 0.04326 0.06878 0.01851 0.1305 201 640 0.6511 0.6287 0.6607 0.43 0.04026 0.03975 0.01282 2/299 7.29G 0.04504 0.07204 0.02104 0.1381 202 640 0.6707 0.6177 0.6656 0.4331 0.04013 0.03949 0.01253 3/299 7.29G 0.04442 0.0598 0.01988 0.1241 167 640 0.6872 0.5993 0.6694 0.4401 0.03994 0.03921 0.01222 4/299 7.29G 0.04183 0.06829 0.01858 0.1287 180 640 0.6769 0.6396 0.675 0.4454 0.03977 0.03895 0.01183 5/299 7.29G 0.04102 0.06269 0.01859 0.1223 149 640 0.6666 0.6668 0.6881 0.4533 0.03955 0.03863 0.01149 6/299 7.29G 0.03948 0.05808 0.01729 0.1148 148 640 0.6747 0.6606 0.6936 0.4588 0.03934 0.03823 0.01101 7/299 7.29G 0.04438 0.06659 0.01737 0.1283 167 640 0.673 0.6778 0.7018 0.4667 0.03891 0.03779 0.01059 8/299 7.29G 0.04151 0.06364 0.01735 0.1225 179 640 0.6779 0.6906 0.7119 0.4789 0.03871 0.03748 0.01018 9/299 7.29G 0.04107 0.06079 0.01604 0.1179 157 640 0.7219 0.6833 0.7186 0.4809 0.03831 0.0371 0.009711 10/299 7.29G 0.04216 0.06389 0.01584 0.1219 241 640 0.7511 0.6799 0.7288 0.4864 0.03811 0.03652 0.009376 11/299 7.29G 0.04231 0.06584 0.01551 0.1237 166 640 0.7185 0.7019 0.7311 0.4899 0.03788 0.0361 0.008995 12/299 7.29G 0.03947 0.05527 0.01483 0.1096 232 640 0.7438 0.6995 0.7308 0.4978 0.03756 0.0356 0.008597 13/299 7.29G 0.03989 0.06301 0.01423 0.1171 327 640 0.7542 0.7036 0.7422 0.5015 0.03729 0.03525 0.008315 14/299 7.29G 0.04208 0.06374 0.01379 0.1196 199 640 0.774 0.6955 0.7533 0.5099 0.0371 0.03496 0.007893 15/299 7.29G 0.04047 0.05966 0.01482 0.1149 193 640 0.788 0.6976 0.7728 0.5215 0.03683 0.03433 0.007487 16/299 7.29G 0.04192 0.05838 0.01384 0.1141 269 640 0.7714 0.7275 0.7849 0.5284 0.03649 0.03367 0.007193 17/299 7.29G 0.04189 0.06223 0.01248 0.1166 193 640 0.7777 0.7378 0.7946 0.5415 0.03621 0.03313 0.006977 18/299 7.29G 0.04028 0.05222 0.01295 0.1054 164 640 0.7811 0.7424 0.8004 0.5492 0.03586 0.03268 0.006865 19/299 7.29G 0.03912 0.05615 0.01326 0.1085 187 640 0.7821 0.7476 0.8045 0.5558 0.03582 0.03241 0.006594 20/299 7.29G 0.04058 0.05669 0.0121 0.1094 147 640 0.7994 0.7507 0.8138 0.5601 0.03563 0.03225 0.006341 21/299 7.29G 0.04068 0.05944 0.01217 0.1123 205 640 0.8233 0.7261 0.8181 0.551 0.03613 0.03222 0.006122 22/299 7.29G 0.04007 0.05429 0.01287 0.1072 159 640 0.833 0.7333 0.8234 0.5561 0.03609 0.0318 0.005945 23/299 7.29G 0.03986 0.05794 0.01224 0.11 212 640 0.8461 0.7322 0.828 0.5697 0.0353 0.03122 0.005799 24/299 7.29G 0.03777 0.05439 0.01032 0.1025 161 640 0.8608 0.7297 0.8304 0.5723 0.03532 0.03098 0.005634 25/299 7.29G 0.03777 0.05334 0.01215 0.1033 219 640 0.7979 0.7771 0.8344 0.5692 0.03543 0.03054 0.00552 26/299 7.29G 0.03875 0.04892 0.01089 0.09857 238 640 0.8307 0.7729 0.8421 0.5791 0.03581 0.03027 0.005413 27/299 7.29G 0.04055 0.05575 0.01186 0.1082 277 640 0.835 0.7725 0.8467 0.5794 0.03537 0.02977 0.005316 28/299 7.29G 0.04001 0.0515 0.01125 0.1028 171 640 0.8434 0.7715 0.8495 0.5777 0.03509 0.02955 0.00528 29/299 7.29G 0.03921 0.05212 0.01067 0.102 248 640 0.8339 0.7924 0.8551 0.5901 0.0349 0.02952 0.005266 30/299 7.29G 0.03888 0.04995 0.01139 0.1002 194 640 0.8427 0.7903 0.8589 0.5903 0.03518 0.02925 0.005102 31/299 7.29G 0.03797 0.05105 0.01014 0.09915 256 640 0.8274 0.7959 0.8589 0.5884 0.0352 0.02899 0.005048 32/299 7.29G 0.03968 0.05574 0.009101 0.1045 266 640 0.8341 0.7978 0.8699 0.5986 0.03514 0.02889 0.004957 33/299 7.29G 0.03948 0.05262 0.01021 0.1023 194 640 0.8421 0.8023 0.8747 0.6049 0.03391 0.02835 0.004891 34/299 7.29G 0.03933 0.05354 0.01005 0.1029 219 640 0.8176 0.8103 0.8695 0.6146 0.0342 0.02794 0.004779 35/299 7.29G 0.04015 0.048 0.0104 0.09856 190 640 0.8666 0.7733 0.8672 0.5888 0.0353 0.02806 0.004727 36/299 7.29G 0.03946 0.05589 0.009319 0.1047 225 640 0.8648 0.7857 0.87 0.6044 0.03513 0.02775 0.00461 37/299 7.29G 0.03752 0.0512 0.009165 0.09788 158 640 0.8789 0.7888 0.8776 0.5988 0.03537 0.02748 0.004478 38/299 7.29G 0.04015 0.04931 0.00986 0.09932 230 640 0.8825 0.7946 0.8811 0.624 0.03431 0.02758 0.004534 39/299 7.29G 0.03947 0.05158 0.008055 0.09911 237 640 0.9036 0.7819 0.8807 0.5986 0.03544 0.02732 0.004481 40/299 7.29G 0.03936 0.04516 0.008808 0.09333 222 640 0.7894 0.8485 0.8795 0.5882 0.03688 0.02712 0.00442 41/299 7.29G 0.03994 0.04109 0.01042 0.09145 175 640 0.8253 0.8347 0.8855 0.6124 0.03463 0.02717 0.004451 42/299 7.29G 0.0398 0.04884 0.008737 0.09738 209 640 0.8341 0.842 0.8887 0.5977 0.03551 0.02725 0.004442 43/299 7.29G 0.03802 0.04757 0.008372 0.09396 206 640 0.8663 0.8453 0.8964 0.6274 0.03369 0.02687 0.004437 44/299 7.29G 0.04118 0.05036 0.009046 0.1006 206 640 0.8858 0.8206 0.889 0.6174 0.03344 0.02627 0.004451 45/299 7.29G 0.03698 0.04471 0.008025 0.08972 128 640 0.8861 0.8212 0.8953 0.6268 0.03309 0.02596 0.004385 46/299 7.29G 0.03817 0.04824 0.008993 0.09541 176 640 0.8668 0.8342 0.8977 0.6105 0.03413 0.02642 0.004323 47/299 7.29G 0.03957 0.04956 0.008625 0.09776 217 640 0.8636 0.8323 0.8891 0.6337 0.03297 0.02596 0.004205 48/299 7.29G 0.03824 0.04163 0.008975 0.08884 207 640 0.8894 0.8107 0.8923 0.6265 0.03372 0.02595 0.004196 49/299 7.29G 0.03714 0.04355 0.007808 0.08849 152 640 0.8356 0.8146 0.8823 0.605 0.03414 0.02543 0.004197 50/299 7.29G 0.03693 0.04755 0.008574 0.09306 238 640 0.909 0.8034 0.9007 0.626 0.033 0.0254 0.004223 51/299 7.29G 0.03959 0.04554 0.009768 0.0949 252 640 0.8855 0.8235 0.9005 0.6259 0.03379 0.02509 0.004196 52/299 7.29G 0.03841 0.04957 0.008232 0.09622 214 640 0.8956 0.8232 0.9042 0.643 0.03334 0.02516 0.004134 53/299 7.29G 0.03748 0.04446 0.007956 0.0899 188 640 0.8711 0.8364 0.9009 0.6241 0.03293 0.02538 0.004169 54/299 7.29G 0.03794 0.04938 0.008053 0.09537 266 640 0.8964 0.8253 0.9086 0.6411 0.03378 0.02535 0.004242 55/299 7.29G 0.04017 0.049 0.008456 0.09763 198 640 0.8707 0.8578 0.9048 0.6117 0.03507 0.02504 0.004179 56/299 7.29G 0.03683 0.04668 0.008694 0.0922 200 640 0.8808 0.8578 0.9088 0.6374 0.03333 0.02483 0.004165 57/299 7.29G 0.03625 0.0437 0.007899 0.08784 194 640 0.9213 0.841 0.911 0.6494 0.03257 0.02441 0.004054 58/299 7.29G 0.03727 0.04554 0.007871 0.09068 186 640 0.8617 0.8495 0.8971 0.6479 0.03376 0.02473 0.003996 59/299 7.29G 0.0378 0.04483 0.007724 0.09035 189 640 0.9072 0.849 0.9178 0.6652 0.03232 0.02418 0.003981 60/299 7.29G 0.03697 0.04161 0.007517 0.0861 222 640 0.8684 0.8495 0.91 0.6239 0.03488 0.02485 0.003953 61/299 7.29G 0.03703 0.04916 0.007413 0.0936 158 640 0.9216 0.8364 0.9225 0.6754 0.03126 0.02415 0.003995 62/299 7.29G 0.03513 0.04447 0.008153 0.08776 220 640 0.888 0.851 0.9205 0.6758 0.03158 0.02389 0.003955 63/299 7.29G 0.03883 0.04642 0.008144 0.0934 137 640 0.7365 0.8277 0.846 0.51 0.04519 0.02547 0.003861 64/299 7.29G 0.04342 0.04607 0.007597 0.09708 245 640 0.8849 0.8367 0.9181 0.6308 0.03373 0.024 0.004177 65/299 7.29G 0.0428 0.04367 0.00829 0.09477 131 640 0.8547 0.8552 0.9048 0.6224 0.03605 0.02415 0.004364 66/299 7.29G 0.04129 0.03882 0.007307 0.08742 134 640 0.8102 0.8656 0.8901 0.611 0.03504 0.02396 0.004578 67/299 7.29G 0.0391 0.04487 0.007629 0.0916 306 640 0.91 0.827 0.9224 0.6566 0.03223 0.0238 0.004573 68/299 7.29G 0.04339 0.04455 0.008419 0.09635 264 640 0.8401 0.8316 0.8918 0.5686 0.04218 0.02472 0.004529 69/299 7.29G 0.04586 0.04151 0.007425 0.0948 150 640 0.8865 0.828 0.91 0.6351 0.03512 0.0241 0.004654 70/299 7.29G 0.03699 0.04183 0.008652 0.08747 228 640 0.9346 0.8373 0.9257 0.6655 0.03191 0.02385 0.004651 71/299 7.29G 0.03911 0.04588 0.008276 0.09327 184 640 0.9228 0.8306 0.9201 0.6638 0.03258 0.02436 0.004598 72/299 7.29G 0.03778 0.04015 0.008022 0.08595 114 640 0.9277 0.8265 0.9191 0.6612 0.03371 0.02415 0.004659 73/299 7.29G 0.03763 0.04473 0.007683 0.09005 152 640 0.8557 0.8437 0.8942 0.5783 0.03705 0.02413 0.004459 74/299 7.29G 0.04254 0.04227 0.007656 0.09246 164 640 0.916 0.8313 0.921 0.6255 0.03558 0.02406 0.004661 75/299 7.29G 0.03779 0.04059 0.00759 0.08597 176 640 0.8792 0.849 0.9155 0.6148 0.03557 0.02382 0.004669 76/299 7.29G 0.03886 0.0441 0.008347 0.09131 182 640 0.8481 0.8435 0.8922 0.5687 0.04104 0.02454 0.004506 77/299 7.29G 0.04252 0.04596 0.008512 0.09699 179 640 0.9093 0.8521 0.9204 0.6446 0.03391 0.024 0.004588 78/299 7.29G 0.04041 0.04368 0.007471 0.09157 159 640 0.908 0.8342 0.9104 0.6101 0.03457 0.02422 0.004556 79/299 7.29G 0.03826 0.04365 0.00834 0.09025 180 640 0.9162 0.8284 0.9152 0.6285 0.03663 0.02423 0.00446 80/299 7.29G 0.04243 0.04265 0.008363 0.09344 185 640 0.9309 0.8401 0.9299 0.6473 0.03479 0.02432 0.00452 81/299 7.29G 0.03956 0.03934 0.008483 0.08738 140 640 0.8999 0.8459 0.9214 0.6367 0.03349 0.02388 0.004608 82/299 7.29G 0.03714 0.04261 0.008421 0.08818 229 640 0.9117 0.8451 0.9215 0.6577 0.03259 0.0233 0.004505 83/299 7.29G 0.03793 0.0408 0.007617 0.08634 175 640 0.889 0.8748 0.9249 0.6578 0.03395 0.02358 0.004349 84/299 7.29G 0.03767 0.04411 0.007945 0.08973 142 640 0.8582 0.8313 0.8975 0.6059 0.03647 0.02374 0.004209 85/299 7.29G 0.03958 0.04283 0.008479 0.09089 139 640 0.8838 0.8243 0.9069 0.5984 0.03697 0.02369 0.004233 86/299 7.29G 0.04154 0.04453 0.007602 0.09367 197 640 0.8821 0.8333 0.9107 0.6127 0.03494 0.02343 0.004341 87/299 7.29G 0.03991 0.04162 0.007469 0.089 150 640 0.8662 0.8628 0.9216 0.6394 0.0331 0.02351 0.004436 88/299 7.29G 0.03681 0.04646 0.007703 0.09097 152 640 0.8974 0.8734 0.9335 0.6211 0.03368 0.02368 0.004381 89/299 7.29G 0.04286 0.04352 0.00803 0.09441 210 640 0.8623 0.8938 0.9358 0.6302 0.03522 0.02333 0.004477 90/299 7.29G 0.04041 0.04246 0.007408 0.09028 168 640 0.8787 0.8577 0.931 0.6183 0.03399 0.02331 0.004557 91/299 7.29G 0.03822 0.04059 0.007909 0.08672 205 640 0.8904 0.8563 0.9224 0.6348 0.03522 0.02306 0.004521 92/299 7.29G 0.04154 0.04561 0.007773 0.09492 250 640 0.8946 0.8673 0.9249 0.6123 0.03544 0.0237 0.004548 93/299 7.29G 0.03938 0.04036 0.006807 0.08655 184 640 0.8841 0.8858 0.9386 0.6364 0.03306 0.0231 0.004623 94/299 7.29G 0.0381 0.04154 0.008094 0.08774 155 640 0.8544 0.8803 0.9295 0.6093 0.03532 0.02361 0.004608 95/299 7.29G 0.04456 0.04314 0.007531 0.09523 240 640 0.8508 0.8632 0.9171 0.605 0.03634 0.02332 0.004574 96/299 7.29G 0.04004 0.04298 0.006743 0.08976 151 640 0.8752 0.8667 0.9366 0.6514 0.03361 0.02293 0.004711 97/299 7.29G 0.03764 0.0452 0.008464 0.09131 195 640 0.8645 0.8665 0.9268 0.6395 0.03443 0.02346 0.004617 98/299 7.29G 0.0428 0.0422 0.007927 0.09293 171 640 0.8839 0.8741 0.9316 0.6288 0.03333 0.02333 0.004716 99/299 7.29G 0.03827 0.04186 0.007647 0.08778 211 640 0.915 0.8509 0.9311 0.6445 0.03298 0.02333 0.004761 100/299 7.29G 0.03549 0.04306 0.007292 0.08585 216 640 0.904 0.8641 0.9368 0.6454 0.03176 0.02281 0.004481 101/299 7.29G 0.03878 0.04396 0.00755 0.09028 201 640 0.8466 0.8711 0.9243 0.6134 0.03472 0.02315 0.004402 102/299 7.29G 0.04109 0.04201 0.007732 0.09083 236 640 0.8729 0.8865 0.9338 0.6631 0.03291 0.02285 0.004443 103/299 7.29G 0.03749 0.03978 0.007469 0.08474 140 640 0.917 0.8579 0.9297 0.6258 0.03417 0.02308 0.004408 104/299 7.29G 0.04883 0.04021 0.007189 0.09623 262 640 0.7175 0.792 0.8069 0.4498 0.05333 0.02464 0.004559 105/299 7.29G 0.05865 0.04305 0.007818 0.1095 189 640 0.824 0.7964 0.8742 0.5798 0.04249 0.02341 0.005093 106/299 7.29G 0.04659 0.04358 0.009819 0.09999 207 640 0.8636 0.8362 0.8999 0.5863 0.03907 0.02439 0.005656 107/299 7.29G 0.04282 0.04578 0.008904 0.0975 207 640 0.8392 0.8749 0.9217 0.6231 0.03561 0.02423 0.005958 108/299 7.29G 0.03878 0.04043 0.009505 0.08871 215 640 0.8872 0.8691 0.9355 0.6336 0.03311 0.02414 0.006006 109/299 7.29G 0.0379 0.04489 0.009507 0.09229 211 640 0.9057 0.861 0.9347 0.6449 0.03352 0.02406 0.005893 110/299 7.29G 0.04049 0.04617 0.00917 0.09583 255 640 0.9087 0.859 0.9312 0.6443 0.0343 0.02327 0.005632 111/299 7.29G 0.04102 0.04215 0.009252 0.09242 247 640 0.8719 0.8562 0.9215 0.611 0.03618 0.02336 0.005409 112/299 7.29G 0.04257 0.04073 0.008552 0.09185 134 640 0.8724 0.87 0.9269 0.6138 0.03523 0.02286 0.005257 113/299 7.29G 0.04356 0.04001 0.00866 0.09223 178 640 0.8067 0.8751 0.9125 0.5978 0.03617 0.02324 0.005338 114/299 7.29G 0.04282 0.04197 0.008182 0.09297 228 640 0.8383 0.8769 0.9292 0.6295 0.03544 0.02333 0.005278 115/299 7.29G 0.04252 0.0407 0.009064 0.09228 196 640 0.8661 0.8646 0.9307 0.6332 0.03473 0.02348 0.005148 116/299 7.29G 0.0394 0.04179 0.008133 0.08933 169 640 0.8604 0.8732 0.9226 0.6397 0.03365 0.02335 0.005 117/299 7.29G 0.03983 0.04034 0.007686 0.08785 262 640 0.8627 0.856 0.922 0.6384 0.03343 0.02313 0.004946 118/299 7.29G 0.04157 0.04368 0.008154 0.0934 297 640 0.85 0.8588 0.9239 0.624 0.03405 0.02294 0.004899 119/299 7.29G 0.04032 0.04239 0.007917 0.09062 185 640 0.8678 0.8409 0.9276 0.6237 0.03457 0.02303 0.004868 120/299 7.29G 0.04085 0.04418 0.007707 0.09273 185 640 0.8503 0.8592 0.9108 0.6424 0.03416 0.02286 0.004876 121/299 7.29G 0.04116 0.0433 0.007921 0.09238 177 640 0.8775 0.8506 0.9119 0.6252 0.03385 0.02351 0.004996 122/299 7.29G 0.04098 0.04625 0.008357 0.09559 201 640 0.8579 0.8538 0.9248 0.6232 0.03418 0.02342 0.005125 123/299 7.29G 0.04067 0.04159 0.007923 0.09019 278 640 0.8583 0.842 0.9239 0.6171 0.03598 0.02355 0.005195 124/299 7.29G 0.04096 0.04326 0.008615 0.09283 259 640 0.8746 0.85 0.9302 0.6265 0.03444 0.02383 0.005183 125/299 7.29G 0.0397 0.0431 0.008254 0.09106 246 640 0.8759 0.8515 0.9295 0.6398 0.03329 0.02332 0.00522 126/299 7.29G 0.03799 0.03994 0.007938 0.08588 210 640 0.8545 0.8849 0.9377 0.632 0.03304 0.02308 0.005123 127/299 7.29G 0.04118 0.04041 0.007551 0.08914 177 640 0.8757 0.8799 0.9378 0.6498 0.03563 0.02351 0.005014 128/299 7.29G 0.04167 0.04374 0.00749 0.0929 171 640 0.8559 0.8823 0.9253 0.6399 0.03521 0.02326 0.004928 129/299 7.29G 0.04476 0.04545 0.008286 0.0985 236 640 0.8676 0.8901 0.9265 0.5922 0.03525 0.02335 0.004896 130/299 7.29G 0.04251 0.03673 0.008567 0.08781 246 640 0.834 0.8995 0.9202 0.6243 0.03545 0.02341 0.005025 131/299 7.29G 0.04309 0.04248 0.008089 0.09366 248 640 0.8533 0.8411 0.9138 0.5876 0.03741 0.02362 0.005246 132/299 7.29G 0.04322 0.04769 0.008366 0.09928 186 640 0.91 0.8252 0.9211 0.6475 0.03463 0.02334 0.005311 133/299 7.29G 0.03913 0.0396 0.008352 0.08708 179 640 0.8776 0.854 0.9345 0.6652 0.03228 0.02336 0.005367 134/299 7.29G 0.03865 0.04837 0.008607 0.09563 240 640 0.8923 0.8618 0.939 0.6609 0.03148 0.02309 0.005306 135/299 7.29G 0.03739 0.0418 0.007822 0.08702 189 640 0.9057 0.8574 0.9403 0.6604 0.03181 0.02302 0.005207 136/299 7.29G 0.04027 0.0419 0.008187 0.09036 230 640 0.8602 0.8814 0.9256 0.6437 0.03359 0.02285 0.00504 137/299 7.29G 0.04182 0.04578 0.008911 0.09651 228 640 0.8683 0.8589 0.9295 0.644 0.03336 0.02274 0.004934 138/299 7.29G 0.04137 0.04316 0.007891 0.09241 161 640 0.9095 0.8565 0.9328 0.6429 0.03281 0.02296 0.004854 139/299 7.29G 0.04121 0.04162 0.007709 0.09054 289 640 0.8888 0.887 0.9436 0.6491 0.03385 0.02337 0.004947 140/299 7.29G 0.03849 0.04455 0.00705 0.09009 188 640 0.8435 0.9056 0.944 0.657 0.03254 0.02386 0.005068 141/299 7.29G 0.03816 0.04031 0.007596 0.08606 179 640 0.8677 0.8842 0.9359 0.6373 0.03339 0.02384 0.005065 142/299 7.29G 0.04106 0.04399 0.007952 0.093 241 640 0.9284 0.8653 0.9401 0.6352 0.03292 0.02365 0.00488 143/299 7.29G 0.04095 0.04426 0.008019 0.09323 189 640 0.8684 0.8671 0.9361 0.6031 0.0366 0.02396 0.004812 144/299 7.29G 0.04276 0.04351 0.008051 0.09433 206 640 0.8791 0.8383 0.9243 0.6286 0.03512 0.02342 0.004835 145/299 7.29G 0.04163 0.04417 0.007953 0.09375 156 640 0.8843 0.8517 0.9267 0.6364 0.03405 0.02288 0.004839 146/299 7.29G 0.03959 0.0433 0.00837 0.09126 267 640 0.8793 0.8766 0.9359 0.6656 0.03235 0.02234 0.004868 147/299 7.29G 0.03858 0.04045 0.007582 0.08661 177 640 0.8933 0.8663 0.9507 0.6817 0.03154 0.02234 0.004945 148/299 7.29G 0.03666 0.04124 0.008025 0.08593 222 640 0.8333 0.9186 0.945 0.6702 0.03049 0.02231 0.004949 149/299 7.29G 0.03636 0.04199 0.007967 0.08632 176 640 0.9003 0.8798 0.9485 0.6838 0.03109 0.02211 0.004791 150/299 7.29G 0.03707 0.04297 0.007235 0.08728 167 640 0.8906 0.878 0.9368 0.6661 0.03143 0.02188 0.004658 151/299 7.29G 0.04044 0.04505 0.008662 0.09416 236 640 0.9022 0.8538 0.9387 0.6499 0.03235 0.02216 0.004588 152/299 7.29G 0.04155 0.04588 0.007384 0.09481 218 640 0.8404 0.8805 0.9327 0.6477 0.03315 0.02195 0.004593 153/299 7.29G 0.04346 0.04898 0.007255 0.09969 224 640 0.866 0.8809 0.9457 0.6598 0.03356 0.02202 0.004621 154/299 7.29G 0.04029 0.04294 0.00738 0.09061 210 640 0.8973 0.881 0.9445 0.673 0.03226 0.02237 0.004727 155/299 7.29G 0.03848 0.04193 0.007719 0.08812 190 640 0.8819 0.8909 0.9478 0.6646 0.03173 0.02259 0.00481 156/299 7.29G 0.03804 0.04281 0.00728 0.08813 245 640 0.9416 0.8585 0.9459 0.6762 0.03108 0.0223 0.004819 157/299 7.29G 0.03922 0.04124 0.007239 0.0877 201 640 0.931 0.86 0.9474 0.6708 0.03153 0.02228 0.004798 158/299 7.29G 0.0392 0.04346 0.007992 0.09064 229 640 0.9265 0.8632 0.9446 0.6769 0.0312 0.02223 0.004775 159/299 7.29G 0.04039 0.04103 0.00729 0.0887 197 640 0.9118 0.8859 0.9494 0.6511 0.03208 0.0224 0.004754 160/299 7.29G 0.03954 0.04198 0.007629 0.08915 296 640 0.9251 0.871 0.9439 0.673 0.03107 0.02231 0.004748 161/299 7.29G 0.03677 0.04176 0.007361 0.08589 254 640 0.9063 0.8823 0.9377 0.6628 0.03111 0.02227 0.004747 162/299 7.29G 0.03701 0.04089 0.007548 0.08544 206 640 0.9288 0.8625 0.9369 0.6775 0.03067 0.02192 0.004695 163/299 7.29G 0.03669 0.03915 0.00758 0.08342 168 640 0.9287 0.863 0.9438 0.6588 0.03089 0.02179 0.004654 164/299 7.29G 0.03665 0.0401 0.007566 0.08432 182 640 0.9397 0.8645 0.9437 0.6808 0.03036 0.02164 0.004577 165/299 7.29G 0.03792 0.04 0.007116 0.08504 186 640 0.9202 0.8602 0.9429 0.6827 0.03066 0.02143 0.004554 166/299 7.29G 0.03796 0.03946 0.006762 0.08418 194 640 0.9095 0.8826 0.9493 0.6923 0.02962 0.02133 0.004501 167/299 7.29G 0.03805 0.04294 0.006802 0.0878 238 640 0.8437 0.9159 0.9405 0.6694 0.03177 0.02158 0.00446 168/299 7.29G 0.03918 0.03835 0.007082 0.08461 140 640 0.8747 0.9058 0.9455 0.6857 0.03122 0.02123 0.004415 169/299 7.29G 0.03904 0.04273 0.007001 0.08877 194 640 0.8901 0.9017 0.9493 0.6865 0.03112 0.02133 0.004448 170/299 7.29G 0.03613 0.04382 0.007413 0.08736 231 640 0.898 0.9008 0.9493 0.7018 0.02928 0.02106 0.004476 171/299 7.29G 0.03586 0.03926 0.00703 0.08215 236 640 0.909 0.8915 0.9491 0.6923 0.02933 0.02101 0.00448 172/299 7.29G 0.03779 0.04109 0.007023 0.0859 195 640 0.9315 0.8835 0.9504 0.6886 0.02919 0.02102 0.004442 173/299 7.29G 0.03491 0.03562 0.00646 0.07699 214 640 0.8583 0.9401 0.9583 0.6944 0.02948 0.02095 0.004387 174/299 7.29G 0.03624 0.04234 0.006869 0.08544 191 640 0.9199 0.8872 0.9497 0.6979 0.02855 0.02069 0.004331 175/299 7.29G 0.03603 0.04038 0.006767 0.08318 239 640 0.8663 0.9437 0.9602 0.6878 0.02915 0.02095 0.004343 176/299 7.29G 0.03635 0.03946 0.006428 0.08224 202 640 0.8521 0.9344 0.9536 0.6818 0.03022 0.02084 0.004339 177/299 7.29G 0.03837 0.03955 0.006913 0.08483 197 640 0.8584 0.9384 0.9521 0.6806 0.03064 0.02101 0.00439 178/299 7.29G 0.03757 0.0431 0.006805 0.08747 181 640 0.8772 0.9268 0.9528 0.6903 0.02882 0.02079 0.004441 179/299 7.29G 0.03498 0.03926 0.006435 0.08067 164 640 0.9404 0.8764 0.9519 0.687 0.02966 0.02086 0.00444 180/299 7.29G 0.03575 0.03966 0.006973 0.08239 200 640 0.9287 0.8838 0.9543 0.6984 0.02904 0.02083 0.004428 181/299 7.29G 0.03534 0.03894 0.007113 0.08139 186 640 0.917 0.8965 0.9558 0.6998 0.02936 0.02078 0.004406 182/299 7.29G 0.03597 0.03609 0.006319 0.07838 195 640 0.8694 0.9327 0.9514 0.7076 0.02862 0.02081 0.004355 183/299 7.29G 0.03525 0.03791 0.006427 0.07959 206 640 0.8825 0.9394 0.9626 0.7135 0.02874 0.02071 0.004303 184/299 7.29G 0.03661 0.03876 0.006986 0.08236 212 640 0.9013 0.9351 0.9601 0.7183 0.02814 0.02046 0.004254 185/299 7.29G 0.03391 0.03437 0.006288 0.07457 162 640 0.8913 0.9327 0.9606 0.7125 0.02856 0.02052 0.004201 186/299 7.29G 0.03476 0.03733 0.006963 0.07905 190 640 0.9037 0.9345 0.9594 0.7167 0.02824 0.02035 0.004154 187/299 7.29G 0.03404 0.03292 0.006557 0.07352 167 640 0.9016 0.9294 0.9596 0.7001 0.02804 0.02038 0.004131 188/299 7.29G 0.03398 0.03726 0.006498 0.07774 170 640 0.8783 0.9382 0.954 0.7123 0.02755 0.02029 0.004091 189/299 7.29G 0.03351 0.04045 0.006497 0.08046 261 640 0.8991 0.9372 0.9596 0.7209 0.02712 0.02015 0.004031 190/299 7.29G 0.0341 0.03861 0.006468 0.07918 202 640 0.8881 0.9357 0.9583 0.7225 0.02717 0.02005 0.003956 191/299 7.29G 0.03455 0.03732 0.005837 0.07771 267 640 0.893 0.9312 0.9614 0.7145 0.02725 0.01977 0.003886 192/299 7.29G 0.03537 0.04249 0.006394 0.08426 265 640 0.9124 0.9272 0.9639 0.7209 0.02721 0.01959 0.003855 193/299 7.29G 0.03515 0.03532 0.006543 0.077 184 640 0.895 0.926 0.9623 0.7345 0.02795 0.01963 0.003881 194/299 7.29G 0.03486 0.03708 0.006915 0.07885 211 640 0.908 0.9247 0.9648 0.7315 0.02764 0.01979 0.003923 195/299 7.29G 0.03445 0.03789 0.007035 0.07938 257 640 0.8995 0.9319 0.9647 0.7349 0.02742 0.01967 0.003947 196/299 7.29G 0.03103 0.03531 0.006367 0.07271 216 640 0.8928 0.9408 0.9661 0.7422 0.02741 0.01969 0.003935 197/299 7.29G 0.03285 0.03661 0.005886 0.07534 231 640 0.8585 0.9425 0.9584 0.7206 0.02741 0.01975 0.003907 198/299 7.29G 0.03394 0.03759 0.006033 0.07756 170 640 0.895 0.9203 0.9612 0.7303 0.02736 0.01975 0.003893 199/299 7.29G 0.03262 0.03403 0.005444 0.0721 137 640 0.9041 0.9141 0.9629 0.7323 0.02686 0.01981 0.003906 200/299 7.29G 0.03228 0.03661 0.0065 0.07539 192 640 0.8537 0.9467 0.9592 0.7337 0.02646 0.0198 0.003921 201/299 7.29G 0.03312 0.0357 0.006234 0.07506 204 640 0.9096 0.9078 0.9573 0.7154 0.02715 0.02009 0.003938 202/299 7.29G 0.0339 0.03861 0.005969 0.07847 187 640 0.9388 0.8964 0.9579 0.7338 0.02633 0.01992 0.003972 203/299 7.29G 0.03529 0.0353 0.00629 0.07688 194 640 0.8857 0.9382 0.9596 0.7238 0.02706 0.02001 0.004009 204/299 7.29G 0.03535 0.03822 0.006593 0.08017 168 640 0.9114 0.9291 0.9585 0.728 0.02689 0.01974 0.004031 205/299 7.29G 0.03247 0.0347 0.005682 0.07285 185 640 0.9252 0.9239 0.9598 0.7366 0.02659 0.0196 0.004039 206/299 7.29G 0.0335 0.03798 0.005912 0.0774 227 640 0.9369 0.9191 0.9625 0.7322 0.02617 0.01951 0.00402 207/299 7.29G 0.0328 0.03541 0.006272 0.07448 185 640 0.9331 0.9202 0.9626 0.7363 0.02657 0.01959 0.004007 208/299 7.29G 0.0311 0.03408 0.006344 0.07152 144 640 0.9441 0.9159 0.9664 0.7393 0.02598 0.01955 0.003984 209/299 7.29G 0.03075 0.03538 0.00585 0.07198 200 640 0.9323 0.9175 0.9653 0.7337 0.02588 0.01955 0.003943 210/299 7.29G 0.02979 0.03267 0.005682 0.06814 167 640 0.9276 0.9153 0.959 0.7358 0.02521 0.01945 0.0039 211/299 7.29G 0.03199 0.03463 0.006323 0.07294 163 640 0.9188 0.9189 0.9574 0.7294 0.02564 0.01945 0.003827 212/299 7.29G 0.03028 0.03619 0.005753 0.07222 165 640 0.8978 0.9276 0.9523 0.738 0.02509 0.01937 0.003756 213/299 7.29G 0.03139 0.03325 0.006186 0.07082 174 640 0.8906 0.9345 0.9556 0.7196 0.02594 0.01951 0.003708 214/299 7.29G 0.03094 0.03794 0.006026 0.0749 175 640 0.9245 0.8935 0.9442 0.7375 0.02587 0.01946 0.003658 215/299 7.29G 0.0321 0.03413 0.005469 0.0717 187 640 0.9203 0.9011 0.9473 0.7238 0.02597 0.0193 0.003613 216/299 7.29G 0.032 0.03479 0.005964 0.07275 187 640 0.8909 0.9279 0.955 0.7301 0.02576 0.01915 0.003566 217/299 7.29G 0.03016 0.03276 0.005294 0.06821 162 640 0.8907 0.9251 0.9554 0.7288 0.0254 0.01899 0.003525 218/299 7.29G 0.0311 0.03634 0.005263 0.0727 191 640 0.9068 0.9307 0.9609 0.7376 0.02474 0.01877 0.003473 219/299 7.29G 0.02915 0.03452 0.005234 0.0689 209 640 0.9211 0.9258 0.9631 0.7406 0.02512 0.01886 0.003434 220/299 7.29G 0.03191 0.03678 0.005173 0.07386 196 640 0.9133 0.9229 0.9583 0.7317 0.02577 0.01897 0.003404 221/299 7.29G 0.03307 0.03298 0.006115 0.07216 134 640 0.9192 0.9161 0.959 0.7315 0.02602 0.01901 0.003401 222/299 7.29G 0.03165 0.03657 0.005879 0.0741 183 640 0.9165 0.9207 0.9579 0.7376 0.02536 0.01902 0.003421 223/299 7.29G 0.03157 0.03646 0.005116 0.07315 198 640 0.9201 0.9261 0.961 0.7429 0.02485 0.01904 0.003445 224/299 7.29G 0.03052 0.03698 0.00536 0.07286 254 640 0.9255 0.9226 0.9589 0.7414 0.02468 0.01907 0.003441 225/299 7.29G 0.03112 0.0356 0.005613 0.07233 213 640 0.9318 0.9114 0.9587 0.7395 0.02498 0.01907 0.003452 226/299 7.29G 0.03236 0.03384 0.005106 0.0713 184 640 0.9262 0.91 0.9581 0.7506 0.02504 0.01911 0.003466 227/299 7.29G 0.03118 0.03648 0.005339 0.073 181 640 0.947 0.9036 0.9617 0.753 0.02492 0.01897 0.00349 228/299 7.29G 0.03146 0.03431 0.005591 0.07136 228 640 0.9288 0.9132 0.9597 0.7559 0.02476 0.01888 0.003523 229/299 7.29G 0.02978 0.03568 0.005409 0.07087 164 640 0.9344 0.9097 0.9619 0.7475 0.02491 0.01889 0.003556 230/299 7.29G 0.03009 0.03465 0.005453 0.07019 241 640 0.9428 0.9097 0.9609 0.7626 0.02424 0.01869 0.003557 231/299 7.29G 0.0305 0.0297 0.00594 0.06614 126 640 0.948 0.9129 0.9634 0.7575 0.02437 0.0186 0.003554 232/299 7.29G 0.02992 0.03242 0.005568 0.06791 208 640 0.9512 0.9096 0.9623 0.7613 0.02389 0.01845 0.003547 233/299 7.29G 0.02918 0.03511 0.005422 0.06971 163 640 0.9444 0.9104 0.9608 0.7698 0.02377 0.0184 0.003537 234/299 7.29G 0.02844 0.03352 0.005966 0.06793 182 640 0.941 0.9129 0.9609 0.7769 0.02324 0.01834 0.003522 235/299 7.29G 0.02918 0.0375 0.005348 0.07203 223 640 0.9401 0.9119 0.9628 0.7732 0.02394 0.01851 0.003486 236/299 7.29G 0.02964 0.03364 0.00551 0.06879 239 640 0.9436 0.9125 0.9644 0.7752 0.02352 0.0184 0.003453 237/299 7.29G 0.03089 0.03746 0.005178 0.07353 233 640 0.9379 0.9132 0.9609 0.764 0.02406 0.01828 0.003428 238/299 7.29G 0.03056 0.0343 0.006101 0.07096 194 640 0.9303 0.9197 0.9622 0.767 0.02347 0.0181 0.003393 239/299 7.29G 0.03012 0.03059 0.005363 0.06607 143 640 0.932 0.9231 0.9643 0.7547 0.02479 0.01843 0.003377 240/299 7.29G 0.03191 0.03135 0.005792 0.06906 127 640 0.928 0.9234 0.9625 0.7655 0.02385 0.01833 0.00337 241/299 7.29G 0.02952 0.03454 0.005098 0.06915 198 640 0.9233 0.9264 0.9627 0.7596 0.02408 0.01842 0.003378 242/299 7.29G 0.03063 0.03457 0.005238 0.07043 243 640 0.919 0.9287 0.9632 0.76 0.02385 0.01851 0.003388 243/299 7.29G 0.0318 0.03823 0.005686 0.07572 204 640 0.9143 0.9342 0.9647 0.7518 0.02455 0.01868 0.003391 244/299 7.29G 0.03205 0.03256 0.005515 0.07013 233 640 0.9013 0.9367 0.9633 0.762 0.02409 0.01861 0.003393 245/299 7.29G 0.03175 0.03596 0.005428 0.07314 190 640 0.8884 0.9374 0.9613 0.7637 0.02416 0.01866 0.003406 246/299 7.29G 0.02986 0.03271 0.005274 0.06785 209 640 0.8951 0.9342 0.9623 0.7676 0.02378 0.01854 0.003425 247/299 7.29G 0.0296 0.03156 0.004566 0.06572 164 640 0.9011 0.9283 0.9607 0.7577 0.02439 0.01853 0.003432 248/299 7.29G 0.03005 0.03559 0.00525 0.07089 239 640 0.9292 0.9171 0.9642 0.7724 0.02312 0.01823 0.00343 249/299 7.29G 0.02972 0.03688 0.005272 0.07187 271 640 0.9351 0.9162 0.9631 0.7669 0.02368 0.01833 0.003424 250/299 7.29G 0.03083 0.03333 0.005635 0.06979 221 640 0.9397 0.9161 0.9667 0.7656 0.02349 0.01825 0.003404 251/299 7.29G 0.02917 0.03253 0.005103 0.0668 173 640 0.9391 0.9145 0.9654 0.7693 0.02372 0.01822 0.003391 252/299 7.29G 0.02876 0.03487 0.005217 0.06885 147 640 0.9371 0.9237 0.965 0.7702 0.02326 0.01811 0.003373 253/299 7.29G 0.02891 0.03194 0.00546 0.0663 173 640 0.9427 0.9168 0.9637 0.7717 0.02361 0.01812 0.003347 254/299 7.29G 0.02945 0.03014 0.005074 0.06467 182 640 0.935 0.9203 0.9606 0.7655 0.02333 0.01796 0.003324 255/299 7.29G 0.02913 0.03463 0.005558 0.06932 174 640 0.937 0.9322 0.9657 0.7762 0.02348 0.01786 0.003307 256/299 7.29G 0.02928 0.0366 0.005246 0.07113 158 640 0.9286 0.9354 0.9655 0.7792 0.02317 0.0178 0.003296 257/299 7.29G 0.02931 0.03604 0.005384 0.07074 173 640 0.9181 0.9396 0.9646 0.7738 0.02314 0.01785 0.003274 258/299 7.29G 0.0285 0.03633 0.005517 0.07035 193 640 0.9114 0.9398 0.961 0.7822 0.02254 0.01772 0.003242 259/299 7.29G 0.02768 0.0327 0.005166 0.06554 159 640 0.9103 0.9427 0.9634 0.7738 0.02262 0.01763 0.003223 260/299 7.29G 0.02843 0.03333 0.005735 0.0675 118 640 0.9109 0.94 0.9659 0.7749 0.02236 0.01752 0.003187 261/299 7.29G 0.02785 0.02795 0.005537 0.06134 200 640 0.9181 0.9331 0.9645 0.7751 0.02263 0.01755 0.003151 262/299 7.29G 0.02827 0.03354 0.005464 0.06728 148 640 0.9237 0.9325 0.9659 0.7779 0.02236 0.01756 0.003118 263/299 7.29G 0.02719 0.03304 0.004876 0.0651 177 640 0.9214 0.9277 0.962 0.7786 0.02246 0.01759 0.003079 264/299 7.29G 0.02881 0.03174 0.005019 0.06556 168 640 0.9122 0.9382 0.9636 0.7722 0.02257 0.01763 0.003033 265/299 7.29G 0.02824 0.03128 0.004694 0.06421 162 640 0.9137 0.9367 0.9647 0.7738 0.0231 0.01765 0.00299 266/299 7.29G 0.02881 0.03374 0.005006 0.06755 204 640 0.9143 0.944 0.9644 0.7748 0.02254 0.01749 0.002955 267/299 7.29G 0.02867 0.03287 0.004676 0.06622 169 640 0.9084 0.9462 0.9665 0.7744 0.02263 0.01752 0.00294 268/299 7.29G 0.02818 0.03448 0.004491 0.06715 234 640 0.9099 0.9473 0.9666 0.78 0.02251 0.01752 0.002931 269/299 7.29G 0.02892 0.03196 0.004856 0.06574 264 640 0.9029 0.9488 0.9675 0.7839 0.0227 0.01751 0.00292 270/299 7.29G 0.02806 0.03506 0.004826 0.06794 211 640 0.8924 0.9491 0.9692 0.7825 0.02292 0.01744 0.002913 271/299 7.29G 0.02974 0.035 0.004598 0.06934 268 640 0.8876 0.9484 0.9649 0.7828 0.02255 0.01727 0.002918 272/299 7.29G 0.02847 0.03179 0.004717 0.06498 189 640 0.8894 0.9476 0.9666 0.7807 0.02249 0.01718 0.002927 273/299 7.29G 0.02756 0.03077 0.004757 0.06309 235 640 0.8897 0.9446 0.9652 0.783 0.0224 0.01715 0.002937 274/299 7.29G 0.02796 0.03165 0.004666 0.06428 140 640 0.8972 0.9453 0.9683 0.7866 0.02264 0.01721 0.002959 275/299 7.29G 0.02961 0.03472 0.004968 0.0693 256 640 0.9025 0.9466 0.9701 0.78 0.02255 0.01722 0.002985 276/299 7.29G 0.02842 0.03109 0.00473 0.06424 201 640 0.9082 0.9454 0.9693 0.7869 0.0223 0.01707 0.003001 277/299 7.29G 0.0287 0.0304 0.005556 0.06466 107 640 0.9186 0.9459 0.968 0.7894 0.02231 0.01709 0.003022 278/299 7.29G 0.02787 0.02972 0.004739 0.06233 145 640 0.9211 0.9444 0.9696 0.7963 0.02208 0.01708 0.003031 279/299 7.29G 0.02857 0.03076 0.004607 0.06394 173 640 0.9209 0.9426 0.9666 0.7882 0.02211 0.0171 0.003041 280/299 7.29G 0.02757 0.03143 0.004592 0.06359 218 640 0.921 0.9414 0.967 0.7847 0.02207 0.01702 0.003034 281/299 7.29G 0.02878 0.0359 0.004859 0.06954 352 640 0.9192 0.9429 0.9682 0.7791 0.0224 0.01707 0.003031 282/299 7.29G 0.02792 0.03055 0.004781 0.06324 193 640 0.9224 0.9435 0.9674 0.7879 0.02196 0.01698 0.003037 283/299 7.29G 0.02962 0.03487 0.005077 0.06956 216 640 0.9225 0.9426 0.9681 0.7899 0.02193 0.01698 0.003034 284/299 7.29G 0.02813 0.03098 0.004628 0.06374 216 640 0.9192 0.9469 0.968 0.7896 0.0221 0.01699 0.003028 285/299 7.29G 0.02808 0.03292 0.004827 0.06583 164 640 0.9191 0.9479 0.9675 0.7929 0.02165 0.01688 0.003019 286/299 7.29G 0.02804 0.03266 0.004927 0.06562 163 640 0.9206 0.9476 0.9676 0.7922 0.02169 0.01687 0.003008 287/299 7.29G 0.02837 0.03504 0.004259 0.06767 228 640 0.9169 0.9483 0.9673 0.7934 0.02167 0.0168 0.003001 288/299 7.29G 0.02831 0.0325 0.004883 0.06569 258 640 0.9162 0.9483 0.9678 0.7904 0.02163 0.01676 0.002994 289/299 7.29G 0.02626 0.0316 0.004554 0.06242 176 640 0.9089 0.9467 0.9653 0.793 0.02154 0.01666 0.002983 290/299 7.29G 0.02896 0.03643 0.004555 0.06994 256 640 0.9117 0.9501 0.9684 0.7923 0.02173 0.01669 0.002966 291/299 7.29G 0.02651 0.02794 0.004216 0.05866 178 640 0.9095 0.948 0.9666 0.8018 0.02179 0.01669 0.002958 292/299 7.29G 0.02879 0.03426 0.005039 0.06808 215 640 0.9054 0.9473 0.9661 0.7991 0.02202 0.01679 0.002962 293/299 7.29G 0.02651 0.02679 0.004467 0.05777 153 640 0.9071 0.9484 0.9667 0.7939 0.02232 0.01692 0.002961 294/299 7.29G 0.02877 0.03292 0.0052 0.0669 268 640 0.9107 0.9464 0.966 0.7966 0.02234 0.01692 0.002962 295/299 7.29G 0.02847 0.03626 0.0048 0.06952 282 640 0.9099 0.9451 0.9667 0.7957 0.02216 0.01687 0.002955 296/299 7.29G 0.02647 0.03141 0.004448 0.06233 170 640 0.9114 0.944 0.9662 0.7954 0.02218 0.0169 0.002939 297/299 7.29G 0.02969 0.03628 0.004863 0.07083 185 640 0.9095 0.9468 0.9673 0.7952 0.02225 0.01689 0.002914 298/299 7.29G 0.02794 0.03279 0.004867 0.0656 150 640 0.9102 0.9462 0.9667 0.7868 0.02212 0.01681 0.002902 299/299 7.29G 0.02882 0.03437 0.004686 0.06788 190 640 0.9189 0.9422 0.9671 0.7961 0.02188 0.01665 0.002905
test_batch0_labels.jpg
test_batch0_pred.jpg
test_batch1_labels.jpg
test_batch1_pred.jpg
test_batch2_labels.jpg
test_batch2_pred.jpg
train_batch0.jpg
train_batch1.jpg
train_batch2.jpg
python test.py --weights yolov5s.pt # test a model for Precision, Recall and mAP
confusion_matrix:
F1_curve:
P_curve:
PR_curve:
R_curve:
test_batch0_labels.jpg
test_batch0_pred.jpg
test_batch1_labels.jpg
test_batch1_pred.jpg
test_batch2_labels.jpg
test_batch2_pred.jpg
python detect.py --weights yolov5s.pt --source path/to/images # run inference on images and videos
今天很多人都在追悼吴孟达,网上找了张吴孟达的照片:
执行命令语义分割识别结果:
- $ python detect.py --weights yolov5s.pt --source wumengda20210227.jpg
- Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.25, device='', exist_ok=False, img_size=640, iou_thres=0.45, name='exp', project='runs/detect', save_conf=False, save_txt=False, source='wumengda20210227.jpg', update=False, view_img=False, weights=['yolov5s.pt'])
- YOLOv5 v4.0-104-gefa4946 torch 1.8.0a0+1606899 CUDA:0 (GeForce GTX 1070 Ti, 8119.5625MB)
-
- Fusing layers...
- Model Summary: 224 layers, 7266973 parameters, 0 gradients, 17.0 GFLOPS
- image 1/1 /usr/src/app/wumengda20210227.jpg: 320x640 8 persons, 1 umbrella, Done. (0.022s)
- Results saved to runs/detect/exp
- Done. (0.039s)
模型的识别效果如下图,识别的效果还是挺好的,不仅仅吴孟达、周星驰被识别出来了,背后远处的人,伞都被识别出来了
还图识别出了电视机和盆栽
https://github.com/ultralytics/yolov5/wiki/Docker-Quickstart
https://github.com/ultralytics/yolov5
https://github.com/ultralytics/yolov5/releases/tag/v1.0
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。