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WIP: cleaning up flags and readme.

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Alex Bewley 2020-01-17 00:25:28 +01:00
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commit 6be936b01e
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README.md
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@ -12,8 +12,6 @@ SORT is a barebones implementation of a visual multiple object tracking framewor
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/). 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).
**Note:** A significant proportion of SORT's accuracy is attributed to the detections. **Note:** A significant proportion of SORT's accuracy is attributed to the detections.
For your convenience, this repo also contains *Faster* RCNN detections for the MOT benchmark sequences in the [benchmark format](https://motchallenge.net/instructions/). To run the detector yourself please see the original [*Faster* RCNN project](https://github.com/ShaoqingRen/faster_rcnn) or the python reimplementation of [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn) by Ross Girshick. For your convenience, this repo also contains *Faster* RCNN detections for the MOT benchmark sequences in the [benchmark format](https://motchallenge.net/instructions/). To run the detector yourself please see the original [*Faster* RCNN project](https://github.com/ShaoqingRen/faster_rcnn) or the python reimplementation of [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn) by Ross Girshick.
@ -41,11 +39,6 @@ If you find this repo useful in your research, please consider citing:
### Dependencies: ### Dependencies:
This code makes use of the following packages:
1. [`scikit-learn`](http://scikit-learn.org/stable/)
0. [`scikit-image`](http://scikit-image.org/download)
0. [`FilterPy`](https://github.com/rlabbe/filterpy)
To install required dependencies run: To install required dependencies run:
``` ```
$ pip install -r requirements.txt $ pip install -r requirements.txt
@ -63,7 +56,7 @@ $ python sort.py
To display the results you need to: To display the results you need to:
0. Download the [2D MOT 2015 benchmark dataset](https://motchallenge.net/data/2D_MOT_2015/#download) 1. Download the [2D MOT 2015 benchmark dataset](https://motchallenge.net/data/2D_MOT_2015/#download)
0. Create a symbolic link to the dataset 0. Create a symbolic link to the dataset
``` ```
$ ln -s /path/to/MOT2015_challenge/data/2DMOT2015 mot_benchmark $ ln -s /path/to/MOT2015_challenge/data/2DMOT2015 mot_benchmark

2
sort.py
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@ -261,7 +261,7 @@ def parse_args():
"""Parse input arguments.""" """Parse input arguments."""
parser = argparse.ArgumentParser(description='SORT demo') parser = argparse.ArgumentParser(description='SORT demo')
parser.add_argument('--display', dest='display', help='Display online tracker output (slow) [False]',action='store_true') parser.add_argument('--display', dest='display', help='Display online tracker output (slow) [False]',action='store_true')
parser.add_argument("--seq_path", help="Path to detections.", type=str, default='mot_benchmark') parser.add_argument("--seq_path", help="Path to detections.", type=str, default='data')
parser.add_argument("--phase", help="Subdirectory in seq_path.", type=str, default='train') parser.add_argument("--phase", help="Subdirectory in seq_path.", type=str, default='train')
args = parser.parse_args() args = parser.parse_args()
return args return args