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This code uses the OpenCV dnn module to load the Darknet model for detection and add SORT for multi-object tracking(MOT).

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MIT license
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DongLZY/YOLO_SORT_QT

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10 Commits
CMakeLists.txt
CMakeLists.txt
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
cthread_video.cpp
cthread_video.cpp
 
 
cthread_video.h
cthread_video.h
 
 
cv_detector.cpp
cv_detector.cpp
 
 
cv_detector.h
cv_detector.h
 
 
kalman_filter.cpp
kalman_filter.cpp
 
 
kalman_filter.h
kalman_filter.h
 
 
main.cpp
main.cpp
 
 
matrix.cpp
matrix.cpp
 
 
matrix.h
matrix.h
 
 
munkres.cpp
munkres.cpp
 
 
munkres.h
munkres.h
 
 
sort_qt.pro
sort_qt.pro
 
 
track.cpp
track.cpp
 
 
track.h
track.h
 
 
tracker.cpp
tracker.cpp
 
 
tracker.h
tracker.h
 
 
utils.h
utils.h
 
 
widget.cpp
widget.cpp
 
 
widget.h
widget.h
 
 
widget.ui
widget.ui
 
 

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YOLO_SORT_QT

This code uses the opencv dnn module to load the darknet model for detection and add SORT for multi-object tracking(MOT). The path to the model file needs to be modified before running.

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This code uses the OpenCV dnn module to load the Darknet model for detection and add SORT for multi-object tracking(MOT).

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