$ wget -O download/MOT16.tar.gz
$ wget -O download/NTU-MOTD.tar.gz# Train Resnet50 ReID Model on different dataset
$ python3 main.py --config config/motreid.yml
$ python3 main.py --config config/market1501.yml$ python3 runall.py \
--mot_dir [MOT Dataset Directory] \
--detector [detector to use] \
--tracker [tracker to use] \
# tracker options can used (See run.py)$ python3 scripts/evaluation/moteval.py \
--mot_gt [MOT Dataset Directory] \
--mot_pd [MOT Prediction directory]- Play sequence data and export it as videos
$ python3 scripts/play.py \
--sequence [sequence directory] \
--silent \
--export- Visualize exported videos
$ mpv gt.mp4 \
--external-file=det.mp4 \
--external-file=map.mp4 \
--external-file=flo.mp4 \
--lavfi-complex="[vid1][vid2]hstack=inputs=2[top];[vid3][vid4]hstack=inputs=2[bottom];[top][bottom]vstack=inputs=2[vo]"+-----------------+-----+--------------+--------+--------+---------+-------+---------+--------+--------+-----------+------------------------------------------------------------+
| Sequence | FPS | Resolution | Length | Tracks | Tr./Fr. | Boxes | Box/Fr. | Class | Camera | Viewpoint | Conditions |
+-----------------+-----+--------------+--------+--------+---------+-------+---------+--------+--------+-----------+------------------------------------------------------------+
| 3p_da_pm_pp.msv | 30 | (1920, 1080) | 655 | 1594 | 2.4 | 1759 | 2.7 | person | static | medium | indoor. 3 people and diverse appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with less pose variation. |
| 3p_da_pm_up.msv | 30 | (1920, 1080) | 675 | 1628 | 2.4 | 1780 | 2.6 | person | static | medium | indoor. 3 people and diverse appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with large pose variation. |
| 3p_da_um_pp.msv | 30 | (1920, 1080) | 715 | 1694 | 2.4 | 1853 | 2.6 | person | static | medium | indoor. 3 people and diverse appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with less pose variation. |
| 3p_da_um_up.msv | 30 | (1920, 1080) | 643 | 1382 | 2.1 | 1572 | 2.4 | person | static | medium | indoor. 3 people and diverse appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with large pose variation. |
| 3p_sa_pm_pp.msv | 30 | (1920, 1080) | 674 | 1598 | 2.4 | 1738 | 2.6 | person | static | medium | indoor. 3 people with similiar appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with less pose variation. |
| 3p_sa_pm_up.msv | 30 | (1920, 1080) | 664 | 1566 | 2.4 | 1757 | 2.6 | person | static | medium | indoor. 3 people with similiar appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with large pose variation. |
| 3p_sa_um_pp.msv | 30 | (1920, 1080) | 667 | 1569 | 2.4 | 1728 | 2.6 | person | static | medium | indoor. 3 people with similiar appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with less pose variation. |
| 3p_sa_um_up.msv | 30 | (1920, 1080) | 634 | 1502 | 2.4 | 1664 | 2.6 | person | static | medium | indoor. 3 people with similiar appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with large pose variation. |
| 5p_da_pm_pp.msv | 30 | (1920, 1080) | 631 | 2145 | 3.4 | 2422 | 3.8 | person | static | medium | indoor. 5 people and diverse appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with less pose variation. |
| 5p_da_pm_up.msv | 30 | (1920, 1080) | 636 | 2079 | 3.3 | 2444 | 3.8 | person | static | medium | indoor. 5 people and diverse appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with large pose variation. |
| 5p_da_um_pp.msv | 30 | (1920, 1080) | 641 | 2128 | 3.3 | 2472 | 3.9 | person | static | medium | indoor. 5 people and diverse appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with less pose variation. |
| 5p_da_um_up.msv | 30 | (1920, 1080) | 648 | 2076 | 3.2 | 2516 | 3.9 | person | static | medium | indoor. 5 people and diverse appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with large pose variation. |
| 5p_sa_pm_pp.msv | 30 | (1920, 1080) | 710 | 2192 | 3.1 | 2552 | 3.6 | person | static | medium | indoor. 5 people with similiar appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with less pose variation. |
| 5p_sa_pm_up.msv | 30 | (1920, 1080) | 650 | 2148 | 3.3 | 2521 | 3.9 | person | static | medium | indoor. 5 people with similiar appearance move around |
| | | | | | | | | | | | in a predicted motion pattern with large pose variation. |
| 5p_sa_um_pp.msv | 30 | (1920, 1080) | 673 | 2186 | 3.2 | 2526 | 3.8 | person | static | medium | indoor. 5 people with similiar appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with less pose variation. |
| 5p_sa_um_up.msv | 30 | (1920, 1080) | 645 | 2050 | 3.2 | 2472 | 3.8 | person | static | medium | indoor. 5 people with similiar appearance move around |
| | | | | | | | | | | | in a unpredicted motion pattern with large pose variation. |
+-----------------+-----+--------------+--------+--------+---------+-------+---------+--------+--------+-----------+------------------------------------------------------------+
Preview of 5p_sa_um_up.msv video sequence
