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HUMAN DETECTION & COUNTING USING PYTHON

  • An application which allows to detect human or people's in any image, video or even through Camera.
  • Also along with detecting, it also counts the maximum no. of people appeared.
  • It also visualize the data of no. of human detected.

REQUIREMENTS :

  • python 3
  • tkinter
  • messagebox
  • PIL
  • cv2
  • argparse
  • matplotlib.pyplot
  • numpy
  • time
  • os
  • tensorflow
  • fpdf

How this Script works :

  • User just need to download the file and run the main.py on their local system.
  • On th starting window of the application, user will be able to see START and EXIT option, using which user can start the application or exit from the application.
  • When user starts the application using START button, a new window will open, which allows user with options like, DETECT FROM IMAGE, DETECT FROM VIDEO or DETECT FROM CAMERA.
  • When user selects any of the first two option, he/she needs to select the respective files using SELECT button.
  • User can preview the selected file using PREVIEW button, and detect and count the humans using DETECT button.
  • And when user selects, the last option of detecting through camera, user need to open the Camera, using OPEN CAMERA button, As soon as camera opens, detection process will start.
  • After detecting a crowd report will be generated in the form of PDF and saved automatically at the project file location. in that it gives us
  • In the crowd report generated, there will be information like the count of humans detected.

Purrpose :

  • This scripts helps user to easily get the count of human through real time image, video or camera, and thereafter also analysis of crowd through crowd report.

Compilation Steps :

  • Install all the required libraries.
  • After that download the code file, and run main.py on local system.
  • Then the script will start running and user can explore it by detecting the human and also getting the count of it.

SCREENSHOTS :

Image

image image image image image image

Video:

image image image image image

Camera:

image image image image image

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