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55 Open 47 Closed
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Issues list

Enhancement: Support for Additional Object Classes in MCMOT Tracking
#113 opened Dec 19, 2023 by yihong1120
AttributeError:'JontDataset' object has no attribute 'batch_i_to_scale_i'
#112 opened Nov 15, 2023 by wsw321
Many problems
#110 opened Oct 11, 2022 by xmy0408
I'd like to know what dataset did you training.
#108 opened Jul 26, 2022 by fall123123
Canot reproduce visdrone result even using pretrained weights?
#107 opened Jun 16, 2022 by dragen1860
关于mutiscale
#106 opened Apr 28, 2022 by wsw321
How to valid after train a model
#105 opened Apr 15, 2022 by wsw321
1
VisDrone pretrained model
#102 opened Mar 19, 2022 by carlarusu
1
Can I use Fairmot's pretrained single-class model in this code?
#101 opened Mar 19, 2022 by MikeMegamind
1
validation during training?
#98 opened Dec 4, 2021 by AI-Hunter
Error at JointDataset?
#97 opened Nov 14, 2021 by AI-Hunter
1
should gen id together in all class for multi-class dataset?
#96 opened Oct 14, 2021 by upsx
4
Bad demo results!
#95 opened Sep 22, 2021 by ayanasser
2
Change classes for my custom dataset
#94 opened Sep 13, 2021 by Theodore-xs
1
这个gif图是哪个数据集里面的呀
#93 opened Sep 11, 2021 by a741419244
can not load optimizer when --resume
#92 opened Aug 13, 2021 by indigopyj
3
What kind of dataset did you use for C5 model?
#91 opened Aug 6, 2021 by indigopyj
Which part of the original FairMOT you changed for multi object tracking?
#90 opened Aug 3, 2021 by SamihaSara
DCNv2 import error
#89 opened Jul 30, 2021 by oh0325
The results of evaluation on MOT16
#88 opened Jul 26, 2021 by zengjie617789
I want to slow down the result video
#87 opened Jul 23, 2021 by indigopyj
1
多类别的gen——label有什么不一样啊
#86 opened Jul 17, 2021 by JAYCHOU2020
Unable to get any good detections
#85 opened Jul 12, 2021 by sergiomallasen
4
Is this repo based FairMOT? or DeepSort?
#84 opened Jun 25, 2021 by blackCmd
1
Can anyone let me know what steps should I do to see the resulting metrics of MCMOT
#83 opened Jun 24, 2021 by melsayed-7
1
ProTip! Follow long discussions with comments:>50.