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Added lap requirement.

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Alex Bewley 2020-01-05 22:39:41 +01:00
parent b69f2fc279
commit 4311c73386
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README.md
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@ -10,7 +10,7 @@ By Alex Bewley
SORT is a barebones implementation of a visual multiple object tracking framework based on rudimentary data association and state estimation techniques. It is designed for online tracking applications where only past and current frames are available and the method produces object identities on the fly. While this minimalistic tracker doesn't handle occlusion or re-entering objects its purpose is to serve as a baseline and testbed for the development of future trackers. SORT is a barebones implementation of a visual multiple object tracking framework based on rudimentary data association and state estimation techniques. It is designed for online tracking applications where only past and current frames are available and the method produces object identities on the fly. While this minimalistic tracker doesn't handle occlusion or re-entering objects its purpose is to serve as a baseline and testbed for the development of future trackers.
SORT was initially described in an [arXiv tech report](http://arxiv.org/abs/1602.00763). At the time of the initial publication, SORT was ranked the best *open source* multiple object tracker on the [MOT benchmark](https://motchallenge.net/results/2D_MOT_2015/). SORT was initially described in [this paper](http://arxiv.org/abs/1602.00763). At the time of the initial publication, SORT was ranked the best *open source* multiple object tracker on the [MOT benchmark](https://motchallenge.net/results/2D_MOT_2015/).
This code has been tested on Mac OSX 10.10, and Ubuntu 14.04, with Python 2.7 (anaconda). This code has been tested on Mac OSX 10.10, and Ubuntu 14.04, with Python 2.7 (anaconda).

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requirements.txt
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@ -1,5 +1,5 @@
scipy
filterpy==1.4.1 filterpy==1.4.1
numba==0.38.1 numba==0.38.1
scikit-image==0.14.0 scikit-image==0.14.0
scikit-learn==0.19.1 scikit-learn==0.19.1
lap==0.4.0