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4 changes: 2 additions & 2 deletions DOWNLOAD_WEIGHTS.md
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## Instructions to download pretrained neural-network weights.

[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green }
[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue}
[GitHub](https://github.com/adipandas/multi-object-tracker)
[Home](https://adipandas.github.io/multi-object-tracker/)

##### YOLOv3
```
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6 changes: 2 additions & 4 deletions REFERENCES.md
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# References and Credits

<p>
<button name="button1" onclick="https://adipandas.github.io/multi-object-tracker/">Home</button>
<button name="button2" onclick="https://github.com/adipandas/multi-object-tracker">GitHub</button>
</p>
[GitHub](https://github.com/adipandas/multi-object-tracker)
[Home](https://adipandas.github.io/multi-object-tracker/)

This work is based on the following literature:

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2 changes: 1 addition & 1 deletion _config.yml
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title: Multi-object trackers in Python
description:
description: ---
theme: jekyll-theme-cayman
3 changes: 3 additions & 0 deletions examples/motmetrics_eval/readme.md
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### MOT Challenge file format

[GitHub](https://github.com/adipandas/multi-object-tracker)
[Home](https://adipandas.github.io/multi-object-tracker/)

The file format should be the same as the ground truth file, which is a CSV text-file containing one object instance per line.

```
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7 changes: 2 additions & 5 deletions examples/readme.md
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# multi-object-tracker examples

[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green }
[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue}
[Home](https://adipandas.github.io/multi-object-tracker/)
[GitHub](https://github.com/adipandas/multi-object-tracker)

This folder contains various examples.

1. [Example jupyter-notebooks](example_notebooks)
2. [Example scripts](example_scripts)
3. [Evaluations based on py-motmetrics](./motmetrics_eval)

**SSD-Mobilenet_v2_coco_2018_03_29** will be downloaded for tensorflow.
Other networks can be used as well: Go through `tracking-tensorflow-ssd_mobilenet_v2_coco_2018_03_29.ipynb` for more details.