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README.md

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# multi-object-tracker
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object detection using deep learning and multi-object tracking
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![Output Sample][output_video]
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The work here is based on the following literature available:
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1. http://elvera.nue.tu-berlin.de/files/1517Bochinski2017.pdf
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2. Pyimagesearch [1](https://www.pyimagesearch.com/2018/07/23/simple-object-tracking-with-opencv/), [2](https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/)
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- The video input can be specified in the cell named `Initiate opencv video capture object` in the notebook.
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- To make the source as the webcam, use `video_src=0` else provide the path of the video file (example: `video_src="/path/of/videofile.mp4"`).
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Example video link: https://flic.kr/p/L6qyxj
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Output of the example video:
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![Output Sample][output_video]
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Example video used in above demo: https://flic.kr/p/L6qyxj
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### Run with Caffemodel
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- You have to use `tracking-caffe-model.ipynb`.

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