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License: MIT License
Track-Oriented Multiple hypothesis Tracking
License: MIT License
Hello, can you share the paper of this code? Thank you!
Good day,
I adapted your algorithm to fit a specific need to track objects detected with yolo. The problem is I am not getting first frame tracks because I suppose that after the objects gets out of frame, the score reduces dramatically. I was wondering if you factored this into the algorithm because I do not see a workaround even if I adjust the scores in the PARAMS file
环境:1.ubuntu 20.04
2.git 上最新版本fmt
[ 94%] Linking CXX executable run_track
/usr/bin/ld: run_track: hidden symbol `ZN3fmt2v86detail9dragonbox10to_decimalIfEENS2_10decimal_fpIT_EES5' in /usr/local/lib/libfmt.a(format.cc.o) is referenced by DSO
/usr/bin/ld: 最后的链结失败: bad value
collect2: error: ld returned 1 exit status
make[2]: *** [CMakeFiles/run_track.dir/build.make:95:run_track] 错误 1
make[2]: 离开目录“/home/open_code/MHT/build”
make[1]: *** [CMakeFiles/Makefile2:87:CMakeFiles/run_track.dir/all] 错误 2
make[1]: 离开目录“/home/open_code/MHT/build”
make: *** [Makefile:84:all] 错误 2
make: 离开目录“/home/open_code/MHT/build”
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