security_vision/Towards-Realtime-MOT
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@ -10,12 +10,14 @@ We hope this repo will help researches/engineers to develop more practical MOT s
## Requirements
* Python 3.6
* [Pytorch](https://pytorch.org) >= 1.0.1
* [syncbn](https://github.com/ytoon/Synchronized-BatchNorm-PyTorch) (Optional, compile and place it under utils/syncbn, or simply replace with nn.BatchNorm [here](https://github.com/Zhongdao/Towards-Realtime-MOT/blob/master/models.py#L12))
* [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark) (Their GPU NMS is used in this project)
* [Pytorch](https://pytorch.org) >= 1.2.0
* python-opencv
* ffmpeg (Optional, used in the video demo)
* [py-motmetrics](https://github.com/cheind/py-motmetrics) (Simply `pip install motmetrics`)
* [py-motmetrics](https://github.com/cheind/py-motmetrics) (`pip install motmetrics`)
* cython-bbox (`pip install cython_bbox`)
* (Optional) ffmpeg (used in the video demo)
* (Optional) [syncbn](https://github.com/ytoon/Synchronized-BatchNorm-PyTorch) (compile and place it under utils/syncbn, or simply replace with nn.BatchNorm [here](https://github.com/Zhongdao/Towards-Realtime-MOT/blob/master/models.py#L12))
* ~~[maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark) (Their GPU NMS is used in this project)~~
## Video Demo
<img src="assets/MOT16-03.gif" width="400"/> <img src="assets/MOT16-14.gif" width="400"/>