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lines changed Original file line number Diff line number Diff line change 11## Instructions to download pretrained neural-network weights.
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3- [ Home ] ( https://adipandas. github.io/ multi-object-tracker/ ) {: .btn .btn-green }
4- [ GitHub ] ( https://github.com/adipandas/ multi-object-tracker ) {: .btn .btn-blue}
3+ [ GitHub ] ( https://github.com/adipandas/ multi-object-tracker )
4+ [ Home ] ( https://adipandas. github.io/ multi-object-tracker/ )
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66##### YOLOv3
77```
Original file line number Diff line number Diff line change 11# References and Credits
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3- <p >
4- <button name =" button1 " onclick =" https: // adipandas.github.io/multi-object-tracker/ " >Home</button >
5- <button name =" button2 " onclick =" https: // github.com/adipandas/multi-object-tracker " >GitHub</button >
6- </p >
3+ [ GitHub] ( https://github.com/adipandas/multi-object-tracker )
4+ [ Home] ( https://adipandas.github.io/multi-object-tracker/ )
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86This work is based on the following literature:
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Original file line number Diff line number Diff line change 11title : Multi-object trackers in Python
2- description :
2+ description : ---
33theme : jekyll-theme-cayman
Original file line number Diff line number Diff line change 11### MOT Challenge file format
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3+ [ GitHub] ( https://github.com/adipandas/multi-object-tracker )
4+ [ Home] ( https://adipandas.github.io/multi-object-tracker/ )
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36The 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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58```
Original file line number Diff line number Diff line change 11# multi-object-tracker examples
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3- [ Home] ( https://adipandas.github.io/multi-object-tracker/ ) {: .btn .btn-green }
4- [ GitHub] ( https://github.com/adipandas/multi-object-tracker ) {: .btn .btn-blue}
3+ [ Home] ( https://adipandas.github.io/multi-object-tracker/ )
4+ [ GitHub] ( https://github.com/adipandas/multi-object-tracker )
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66This folder contains various examples.
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881 . [ Example jupyter-notebooks] ( example_notebooks )
992 . [ Example scripts] ( example_scripts )
10103 . [ Evaluations based on py-motmetrics] ( ./motmetrics_eval )
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12- ** SSD-Mobilenet_v2_coco_2018_03_29** will be downloaded for tensorflow.
13- 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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