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deepsort using hog feature extractor and darknet

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deepsort

deepsort using hog feature extractor and darknet

usage 
0.1 chmod a+x make_ordinary.sh
0.2 chmod a+x make_jetson.sh
0.3 chmod a+x clean.sh
2. sudo ./clean.sh
3. make_ordinary.sh
4. download weight files from https://github.com/AlexeyAB/darknet
5. ./yolo_console_dll {names file} {cfg file} {weights file} {video file or web_camera for web camera} {skip rate} {thresh} 

if you want to compile it for aarch64 devices then go with make_jetson.sh

references:
https://github.com/AlexeyAB/darknet
https://github.com/sephirothhua/DeepSort_yoloV3-HOG_feature

to do:

  1. using one shot learning based deep learning feature extractor

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  • C++ 64.8%
  • Makefile 16.6%
  • C 13.1%
  • Cuda 2.8%
  • CMake 1.4%
  • Python 1.0%
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