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DOWNLOAD_WEIGHTS.md

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##### YOLOv3
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```
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cd multi-object-tracker
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cd ./examples/pretrained_models/yolo_weights
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sudo chmod +x ./get_yolo.sh
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./get_yolo.sh
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```
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##### TensorFlow - MobileNetSSDv2
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```
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cd multi-object-tracker
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cd ./pretrained_models/tensorflow_weights
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sudo chmod +x ./get_ssd_model.sh
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./get_ssd_model.sh
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```
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##### Caffemodel - MobileNetSSD
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```
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cd multi-object-tracker
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cd ./pretrained_models/caffemodel_weights
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sudo chmod +x ./get_caffemodel.sh
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./get_caffemodel.sh

README.md

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[cows-tf-ssd-output]: examples/assets/cows.gif "Sample Output with SSD"
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# Multi-object trackers in Python
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Various multi-object tracking algorithms.
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Easy to use implementation of various multi-object tracking algorithms.
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[![DOI](https://zenodo.org/badge/148338463.svg)](https://zenodo.org/badge/latestdoi/148338463)
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The shell scripts for downloading these are provided [here](https://github.com/adipandas/multi-object-tracker/tree/master/examples/pretrained_models) below respective folders.
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Please refer [DOWNLOAD_WEIGHTS.md](DOWNLOAD_WEIGHTS.md) for more details.
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### Notes
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* There are some variations in implementations as compared to what appeared in papers of `SORT` and `IoU Tracker`.
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* In case you find any bugs in the algorithm, I will be happy to accept your pull request or you can create an issue to point it out.
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## References and Credits
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Please see [REFERENCES.md](REFERENCES.md).

REFERENCES.md

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# References and Credits
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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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[[Webpage](https://adipandas.github.io/multi-object-tracker/)]
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[[GitHub](https://github.com/adipandas/multi-object-tracker)]
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This work is based on the following literature:
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