xinshuoweng / AB3DMOT

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
http://www.xinshuoweng.com/
Other
1.68k stars 403 forks source link

无法评估的问题 #116

Open zyg234 opened 1 year ago

zyg234 commented 1 year ago

您好 ,非常感谢您的项目,但是我在用您的检测得到的跟踪数据是这样的,评估异常,请问这是什么原因造成的呢? 0 7 Car 0 0 -0.722200 297.780600 177.215100 347.261900 194.681800 1.509200 1.591600 4.175400 -26.135200 1.920000 65.673200 -1.101000 -0.059600 0 6 Car 0 0 -2.093500 879.926000 154.353400 924.750000 174.438200 1.482300 1.571800 3.623600 22.267800 0.117300 55.151600 -1.709700 0.537300 0 5 Car 0 0 1.288500 853.354000 170.136900 894.804100 193.004700 1.533200 1.653100 4.043700 18.375300 1.351400 50.445800 1.637900 0.795500 0 4 Car 0 0 1.164300 949.145300 144.876200 999.688700 167.486100 1.490200 1.636100 4.200700 25.512200 -0.392900 50.716800 1.630300 2.400800 0 3 Car 0 0 2.136400 208.034000 179.097500 290.248500 215.979700 1.476100 1.516000 3.572500 -15.627700 1.763800 31.357000 1.674100 7.149500 0 2 Car 0 0 2.196500 97.070100 170.929900 221.587800 223.940900 1.758400 1.702300 4.146800 -16.149000 1.694900 26.059400 1.641700 10.748000 0 1 Car 0 0 2.271800 0.000000 178.610000 113.220900 235.809000 1.542500 1.513100 3.234000 -16.713600 1.726900 21.430800 1.609400 11.374900 0 401 Pedestrian 0 0 0.338200 349.033900 171.939700 366.606900 204.200800 1.717100 0.622300 0.725300 -13.563700 1.668800 38.713000 0.001200 -0.843600 0 400 Pedestrian 0 0 0.603700 820.015200 169.086100 848.365800 211.462600 1.633100 0.667900 0.831100 8.760700 1.488300 28.337300 0.903500 -0.071700 1 9 Car 0 0 -1.493700 802.164000 136.851600 865.809500 199.705800 1.970900 1.770800 4.358100 7.783900 0.842400 24.974600 -1.191500 0.602100 1 8 Car 0 0 -1.069000 1013.870900 159.541600 1117.345700 208.374300 1.647200 1.614900 3.594800 16.333000 1.198500 25.914300 -0.506700 0.805800 1 7 Car 0 0 0.753200 264.679600 177.411300 311.939700 194.664400 1.474458 1.599392 3.754742 -28.378705 1.882103 63.613775 0.214050 -0.117000 1 6 Car 0 0 -1.936600 885.074400 155.646800 925.452800 175.754600 1.460208 1.585183 3.683367 22.094893 0.210686 54.183287 -1.562758 -0.118000 1 5 Car 0 0 1.288500 853.354000 170.136900 894.804100 193.004700 1.533200 1.653100 4.043700 18.152326 1.309562 49.332636 1.637900 0.795500 1 4 Car 0 0 1.164300 949.145300 144.876200 999.688700 167.486100 1.490200 1.636100 4.200700 25.286438 -0.441183 49.633778 1.630300 2.400800

Feel free to contact us (lenz@kit.edu), if you receive this error message: Caught exception while loading result data. The uploaded results could not be evaluated. Check for format errors.