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Update readme
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adipandas committed Nov 17, 2020
commit 0ad902ab06619ad0ce77c0e62eef4ed35ca7a74c
15 changes: 8 additions & 7 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ Various multi-object tracking algorithms.

[![DOI](https://zenodo.org/badge/148338463.svg)](https://zenodo.org/badge/latestdoi/148338463)

### Available Multi Object Trackers
## Available Multi Object Trackers

```
CentroidTracker
Expand All @@ -29,7 +29,8 @@ detector.YOLOv3
Video source: [link](https://flic.kr/p/L6qyxj) | Video source: [link](https://flic.kr/p/26WeEWy)


### Installation
## Installation

Pip install for OpenCV (version 3.4.3 or later) is available [here](https://pypi.org/project/opencv-python/) and can be done with the following command:

```
Expand All @@ -54,22 +55,22 @@ For building opencv from source, you can refer the following:
[[link-1](https://docs.opencv.org/master/df/d65/tutorial_table_of_content_introduction.html)],
[[link-2](https://www.pyimagesearch.com/2020/02/03/how-to-use-opencvs-dnn-module-with-nvidia-gpus-cuda-and-cudnn/)]

#### How to use?: Examples
## How to use?: Examples

Examples for how to use `motrackers` are provided [examples](./examples/) folder of this repository.
Please refer [examples](./examples/) folder of this repository.
You can clone and run the examples as shown in the [readme](examples/readme.md) inside the [examples](./examples/) folder.

#### Pretrained object detection models
## Pretrained object detection models

You will have to download the pretrained weights for the neural-network models.
The shell scripts for downloading these are provided in [examples](examples/) folder.
Please refer [DOWNLOAD_WEIGHTS.md](DOWNLOAD_WEIGHTS.md) for more details.

#### References and Credits
## References and Credits

Please see [REFERENCES.md](REFERENCES.md)

#### Citation
## Citation

If you use this repository in your work, please consider citing it with:
```
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