v8.0 - Tracking experiment platform, MOT17 & MOT20 evaluation
The goal of this release is to transform the repo into a user-friendly tracking experiment platform by adding different tracking methods and evaluation support for different MOT datasets. I will continue adding SOTA tracking methods as they come out.
Important updates
- Tracking method selection
- OCSORT added as a tracking option
- ByteTrack added as a tracking option
- Added evaluation support for MOT17 & MOT20
- Added custom tracking dataset evaluation tutorial
- Added to CI:
- Model export testing
- Tracking with exported model testing
- Tracking with OCSORT testing
- Tracking with ByteTrack testing
- Less bloated README
- Evaluation on specific GPUs and CPU
- Update to Yolov5 release v7
--vid-stride
to process every nth frame now available- Experiment results:
MOT17-train evaluation results
The hyperparameters used for evaluation can be found under val.py
. Notice that
none of the models used during the evaluation has ever seen any of the MOT17 data and that our object detection model is a modest Yolov5m.
HOTA: exp105-pedestrian HOTA DetA AssA DetRe DetPr AssRe AssPr LocA RHOTA HOTA(0) LocA(0) HOTALocA(0)
MOT17-04-ss 60.908 59 63.405 64.121 76.02 68.898 78.923 80.981 63.714 81.25 75.158 61.066
MOT17-05-ss 40.252 39.213 41.436 42.163 74.171 52.461 63.544 81.546 41.789 51.945 76.574 39.777
MOT17-09-ss 56.907 60.309 53.739 65.712 80.477 59.512 79.408 85.724 59.415 70.643 81.881 57.843
MOT17-10-ss 50.853 50.201 51.696 54.009 74.875 56.683 76.058 80.464 52.834 67.831 75.599 51.28
MOT17-11-ss 62.797 58.699 67.396 70.483 72.798 74.55 82.031 86.688 68.912 75.266 83.145 62.58
MOT17-13-ss 46.722 43.064 51.08 46.897 72.133 56.866 74.246 80.146 48.893 61.802 74.62 46.116
COMBINED 56.852 54.364 60.008 59.706 75.249 66.14 78.487 81.823 59.774 74.144 76.496 56.717
CLEAR: exp105-pedestrian MOTA MOTP MODA CLR_Re CLR_Pr MTR PTR MLR sMOTA CLR_TP CLR_FN CLR_FP IDSW MT PT ML Frag
MOT17-04-ss 69.718 78.487 69.847 77.097 91.404 50.602 33.735 15.663 53.133 36665 10892 3448 61 42 28 13 549
MOT17-05-ss 45.757 78.793 46.668 51.757 91.048 19.549 63.158 17.293 34.781 3580 3337 352 63 26 84 23 249
MOT17-09-ss 67.925 84.484 68.732 75.192 92.088 50 50 0 56.258 4004 1321 344 43 13 13 0 141
MOT17-10-ss 62.575 77.025 63.206 67.669 93.813 28.07 61.404 10.526 47.028 8688 4151 573 81 16 35 6 663
MOT17-11-ss 61.753 85.318 62.081 79.451 82.06 46.667 40 13.333 50.088 7497 1939 1639 31 35 30 10 200
MOT17-13-ss 52.534 76.716 53.247 59.131 90.95 30 41.818 28.182 38.766 6884 4758 685 83 33 46 31 321
COMBINED 63.933 79.251 64.319 71.832 90.531 34.091 48.76 17.149 49.028 67318 26398 7041 362 165 236 83 2123
Identity: exp105-pedestrian IDF1 IDR IDP IDTP IDFN IDFP
MOT17-04-ss 77.326 71.274 84.501 33896 13661 6217
MOT17-05-ss 54.125 42.446 74.669 2936 3981 996
MOT17-09-ss 70.485 64.019 78.404 3409 1916 939
MOT17-10-ss 69.701 59.989 83.166 7702 5137 1559
MOT17-11-ss 74.445 73.262 75.668 6913 2523 2223
MOT17-13-ss 63.099 52.062 80.077 6061 5581 1508
COMBINED 72.488 65.002 81.923 60917 32799 13442
Count: exp105-pedestrian Dets GT_Dets IDs GT_IDs
MOT17-04-ss 40113 47557 131 83
MOT17-05-ss 3932 6917 103 133
MOT17-09-ss 4348 5325 52 26
MOT17-10-ss 9261 12839 96 57
MOT17-11-ss 9136 9436 152 75
MOT17-13-ss 7569 11642 133 110
COMBINED 74359 93716 667 484
No performance boost this time, only that we started evaluating on MOT17