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DOWNLOAD_WEIGHTS.md

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## Instructions to download pretrained neural-network weights.
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[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green }
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[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue}
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[GitHub](https://github.com/adipandas/multi-object-tracker)
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[Home](https://adipandas.github.io/multi-object-tracker/)
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##### YOLOv3
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```

REFERENCES.md

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# References and Credits
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<p>
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<button name="button1" onclick="https://adipandas.github.io/multi-object-tracker/">Home</button>
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<button name="button2" onclick="https://github.com/adipandas/multi-object-tracker">GitHub</button>
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</p>
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[GitHub](https://github.com/adipandas/multi-object-tracker)
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[Home](https://adipandas.github.io/multi-object-tracker/)
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This work is based on the following literature:
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_config.yml

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title: Multi-object trackers in Python
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description:
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description: ---
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theme: jekyll-theme-cayman

examples/motmetrics_eval/readme.md

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### MOT Challenge file format
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[GitHub](https://github.com/adipandas/multi-object-tracker)
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[Home](https://adipandas.github.io/multi-object-tracker/)
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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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```

examples/readme.md

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# multi-object-tracker examples
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[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green }
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[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue}
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[Home](https://adipandas.github.io/multi-object-tracker/)
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[GitHub](https://github.com/adipandas/multi-object-tracker)
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This folder contains various examples.
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1. [Example jupyter-notebooks](example_notebooks)
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2. [Example scripts](example_scripts)
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3. [Evaluations based on py-motmetrics](./motmetrics_eval)
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**SSD-Mobilenet_v2_coco_2018_03_29** will be downloaded for tensorflow.
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Other networks can be used as well: Go through `tracking-tensorflow-ssd_mobilenet_v2_coco_2018_03_29.ipynb` for more details.

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