ML Project : Vehicle Detection Counting

 ML Project : Vehicle Detection Counting (VDC)

Guys, This one VDC Project refers to Vehicle Detection Counting is also known as Vehicle Tracking System Using Machine Learning (OpenCV) in Python 3.6.0 version. Open-CV is a real time computer vision library of python to capturing frames of video & images files in the form of cv2, whether count the real time traffic vehicle and collects the records to generate list in python IDE environment. So which we can use different various types of modules and libraries to developed setup of this project in MSI format.


Installed Libraries in pip version :-

  • pip install opencv-contrib-python
  • pip install opencv-python
  • pip install numpy
  • pip install counter 
  • pip install cx_Freeze
  • pip install auto-py-exe


Import library in any IDE :-

  • from collections import Counter
    import cv2
    import numpy as np


Using this command will get backend python interface :

cv2.imshow("Detecter",dilatada)




In case of python get error like AttributeError: module 'cv2.cv2' has no attribute 'bgsegm'

algo = cv2.createBackgroundSubtractorMOG2()

#use this command instead of

algo = cv2.bgsegm.createBackgroundSubtractorMOG()


Appearing frontend interface like this :


Download Now full software setup file in MSI format given below:

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