hyfine/motdt

MOTDT

Usage

Download MOT16 dataset and trained weights from the following links. Put weight files in data, then build and run the code.

pip install -r requirements.txt
sh make.sh
python eval_mot.py

I used five of six training sequences as the validation set. Following are the details and evaluation results. To be continue...

Sequences: 
    'MOT16-02'
    'MOT16-05'
    'MOT16-09'
    'MOT16-11'
    'MOT16-13'

	... MOT16-02
Preprocessing (cleaning) MOT16-02...
......
Removing 656 boxes from solution...
MOT16-02
 IDF1  IDP  IDR| Rcll  Prcn   FAR|   GT  MT   PT   ML|    FP    FN   IDs    FM|  MOTA  MOTP MOTAL 
 38.0 76.4 25.3| 30.6  92.5  0.73|   54   7   20   27|   441 12379    47   146|  27.8  75.1  28.1 

	... MOT16-05
Preprocessing (cleaning) MOT16-05...
........
Removing 1 boxes from solution...
MOT16-05
 IDF1  IDP  IDR| Rcll  Prcn   FAR|   GT  MT   PT   ML|    FP    FN   IDs    FM|  MOTA  MOTP MOTAL 
 52.0 80.8 38.3| 44.3  93.3  0.26|  125  12   68   45|   216  3801    35   130|  40.6  76.1  41.1 

	... MOT16-09
Preprocessing (cleaning) MOT16-09...
.....
Removing 765 boxes from solution...
MOT16-09
 IDF1  IDP  IDR| Rcll  Prcn   FAR|   GT  MT   PT   ML|    FP    FN   IDs    FM|  MOTA  MOTP MOTAL 
 58.6 73.1 48.9| 63.2  94.5  0.37|   25   7   16    2|   195  1936    35    66|  58.8  75.2  59.4 

	... MOT16-11
Preprocessing (cleaning) MOT16-11...
.........
Removing 2 boxes from solution...
MOT16-11
 IDF1  IDP  IDR| Rcll  Prcn   FAR|   GT  MT   PT   ML|    FP    FN   IDs    FM|  MOTA  MOTP MOTAL 
 54.3 71.6 43.7| 57.7  94.5  0.34|   69  11   29   29|   309  3884    29    74|  54.0  79.3  54.3 

	... MOT16-13
Preprocessing (cleaning) MOT16-13...
.......
Removing 0 boxes from solution...
MOT16-13
 IDF1  IDP  IDR| Rcll  Prcn   FAR|   GT  MT   PT   ML|    FP    FN   IDs    FM|  MOTA  MOTP MOTAL 
 38.0 71.7 25.9| 29.5  81.8  1.01|  107  11   39   57|   754  8072    46   178|  22.5  72.6  22.9 


 ********************* Your MOT16 Results *********************
 IDF1  IDP  IDR| Rcll  Prcn   FAR|   GT  MT   PT   ML|    FP    FN   IDs    FM|  MOTA  MOTP MOTAL 
 45.7 74.4 33.0| 40.5  91.4  0.53|  380  48  172  160|  1915 30072   192   594|  36.3  75.9  36.7 

Resources

Dataset: https://motchallenge.net/data/MOT16/

Eval Devkit: https://bitbucket.org/amilan/motchallenge-devkit/

Models: https://drive.google.com/open?id=1ETfqSoy7OeT-8GO75F1bYWhP3mzrwwvn