JackWoo0831 / Yolov7-tracker

Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects.
GNU General Public License v3.0
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Help #111

Open chenshengyeah111 opened 2 months ago

chenshengyeah111 commented 2 months ago

File "/Yolov7-tracker-2/tracker/tracker_dataloader.py", line 129, in _letterbox shape = img.shape[:2] # current shape [height, width] AttributeError: 'NoneType' object has no attribute 'shape' 怎么回事呢,一直找不到图片

JackWoo0831 commented 2 months ago

这个就是路径错了,您print一下图片路径看读取的对么

chenshengyeah111 commented 2 months ago

MOT20-01 4.1282 3.0606 10.488 4.193 4.9667 11.402 30.121 60.705 5.0828 40.155 8.606 3.4558 MOT20-02 2.9124 3.2064 3.6171 4.0263 5.0048 4.4445 21.725 59.231 3.3523 40.594 7.9495 3.2271 MOT20-03 4.9024 3.6635 7.9821 4.3163 13.203 9.8154 49.052 58.806 5.3745 20.345 18.386 3.7406 MOT20-05 1.9999 2.3352 2.6043 2.7378 7.2283 2.6837 54.049 58.096 2.2125 16.303 11.076 1.8058 COMBINED 3.3683 2.7863 5.9445 3.3754 7.8379 7.0491 48.939 57.513 3.8014 23.149 11.729 2.7152

CLEAR: LPC_MOT-pedestrian MOTA MOTP MODA CLR_Re CLR_Pr MTR PTR MLR sMOTA CLR_TP CLR_FN CLR_FP IDSW MT PT ML Frag MOT20-01 -84.298 56.292 -84.293 0.065425 0.077496 0 0 100 -84.327 13 19857 16762 1 0 0 74 1 MOT20-02 -80.233 60.701 -80.23 0.10921 0.13576 0 0.37037 99.63 -80.276 169 154573 124319 4 0 1 269 12 MOT20-03 -31.974 59.204 -31.945 0.37366 1.1429 0.14245 0.14245 99.715 -32.126 1172 312486 101371 90 1 1 700 186 MOT20-05 -37.679 56.378 -37.671 0.10258 0.27082 0 0 100 -37.723 663 645681 244145 51 0 0 1169 145 COMBINED -42.722 58.382 -42.709 0.17777 0.4128 0.045147 0.090293 99.865 -42.796 2017 1132597 486597 146 1 2 2212 344

Identity: LPC_MOT-pedestrian IDF1 IDR IDP IDTP IDFN IDFP MOT20-01 0.065493 0.060393 0.071535 12 19858 16763 MOT20-02 0.10672 0.096289 0.11969 149 154593 124339 MOT20-03 0.44834 0.29746 0.90986 933 312725 101610 MOT20-05 0.1277 0.088034 0.23243 569 645775 244239

Identity: LPC_MOT-pedestrian IDF1 IDR IDP IDTP IDFN IDFP MOT20-01 0.065493 0.060393 0.071535 12 19858 16763 MOT20-02 0.10672 0.096289 0.11969 149 154593 124339 MOT20-03 0.44834 0.29746 0.90986 933 312725 101610 MOT20-05 0.1277 0.088034 0.23243 569 645775 244239 MOT20-01 0.065493 0.060393 0.071535 12 19858 16763 MOT20-02 0.10672 0.096289 0.11969 149 154593 124339 MOT20-03 0.44834 0.29746 0.90986 933 312725 101610 MOT20-05 0.1277 0.088034 0.23243 569 645775 244239 MOT20-02 0.10672 0.096289 0.11969 149 154593 124339 MOT20-03 0.44834 0.29746 0.90986 933 312725 101610 MOT20-05 0.1277 0.088034 0.23243 569 645775 244239 MOT20-05 0.1277 0.088034 0.23243 569 645775 244239 COMBINED 0.2049 0.14657 0.34035 1663 1132951 486951 为啥得到的结果这样

chenshengyeah111 commented 2 months ago

id值超级大

JackWoo0831 commented 2 months ago

啊,有点离谱,你的检测器性能咋样

chenshengyeah111 commented 2 months ago

挺好的,精度挺高

chenshengyeah111 commented 2 months ago

这跟我数据集输入有关吗

JackWoo0831 commented 2 months ago

您可视化一下,看看视觉上跟踪效果是不是特别离谱

chenshengyeah111 commented 2 months ago

我跟踪的MOT20,结果的txt文件结果这样的: 1,23256,720.00,877.00,102.00,117.00,0.79,-1,-1,-1 1,23257,846.00,437.00,25.00,30.00,0.68,-1,-1,-1 1,23258,513.00,532.00,37.00,39.00,0.67,-1,-1,-1 1,23259,903.00,155.00,46.00,59.00,0.66,-1,-1,-1 1,23260,1541.00,498.00,29.00,34.00,0.65,-1,-1,-1 1,23261,797.00,447.00,24.00,29.00,0.65,-1,-1,-1 1,23262,240.00,54.00,24.00,27.00,0.63,-1,-1,-1 1,23263,517.00,508.00,27.00,30.00,0.63,-1,-1,-1 1,23264,890.00,506.00,26.00,31.00,0.62,-1,-1,-1 1,23265,748.00,414.00,22.00,26.00,0.58,-1,-1,-1 1,23266,1480.00,311.00,38.00,42.00,0.58,-1,-1,-1 1,23267,803.00,619.00,57.00,72.00,0.57,-1,-1,-1 1,23268,903.00,31.00,30.00,32.00,0.57,-1,-1,-1 1,23269,1519.00,270.00,37.00,41.00,0.54,-1,-1,-1 1,23270,685.00,4.00,26.00,32.00,0.54,-1,-1,-1 1,23271,254.00,164.00,22.00,28.00,0.54,-1,-1,-1 1,23272,775.00,198.00,54.00,58.00,0.53,-1,-1,-1 1,23273,1272.00,269.00,32.00,39.00,0.52,-1,-1,-1 1,23274,681.00,556.00,31.00,35.00,0.51,-1,-1,-1 这个id值是不就很奇怪