TrackBar OpenCV Python With Source Code

TrackBar OpenCV Python With Source Code

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TrackBar OpenCV Python With Source Code

The TrackBar OpenCV Python was developed using Python OpenCV, Trackbar is a GUI element that lets the user select a specific color value within a range of values by sliding a slider linearly.

It’s similar to scrolling but it limits the user to select a specific value with its minimum and maximum limits.

What is OpenCV?

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library.

OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.

A trackbar in OpenCV provides cv2.createTrackbar() function, to read the current position of the trackbar slider you can use cv2.getTrackbarPos() function to change the position of the trackbar use cv2.setTrackbarPos().

In this Python OpenCV Project also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way, if you are new to Python programming and don’t know what Python IDE to use, I have here a list of the Best Python IDE for Windows, Linux, Mac OS that will suit you.

I also have here How to Download and Install the Latest Version of Python on Windows.

To start executing TrackBar OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm on your computer.

TrackBar OpenCV Python With Source Code: Steps on how to run the project

Time needed: 5 minutes

These are the steps on how to run TrackBar OpenCV Python With Source Code

  • Step 1: Download the given source code below.

    First, download the given source code below and unzip the source code.
    Trackbar OpenCV download source code

  • Step 2: Import the project to your PyCharm IDE.

    Next, import the source code you’ve download to your PyCharm IDE.
    Trackbar OpenCV open project

  • Step 3: Run the project.

    last, run the project with the command “py main.py”
    Trackbar OpenCV run project

Installed Libraries

import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt

Complete Source Code

import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt


def change(x):
    # print(x)
    pass


def trackbar():
    img = np.zeros((300, 512, 3), np.uint8)
    cv.namedWindow("image")

    cv.createTrackbar('B', 'image', 0, 255, change)
    cv.createTrackbar('G', 'image', 0, 255, change)
    cv.createTrackbar('R', 'image', 0, 255, change)

    switch = '0: OFF\n 1: ON'
    cv.createTrackbar(switch, 'image', 0, 1, change)

    while True:
        cv.imshow("image", img)
        k = cv.waitKey(1) & 0xFF
        if k == 27:
            break

        b = cv.getTrackbarPos('B', 'image')
        g = cv.getTrackbarPos('G', 'image')
        r = cv.getTrackbarPos('R', 'image')
        s = cv.getTrackbarPos(switch, 'image')

        if s == 0:
            img[:] = 0
        else:
            img[:] = [b, g, r]

    cv.destroyAllWindows()


if __name__ == '__main__':
    trackbar()

Output

Download the Source Code below

Anyway, if you want to level up your programming knowledge, especially Python OpenCV, try this new article I’ve made for you Best OpenCV Projects With Source Code For Beginners.

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Summary

Trackbar is a GUI element that let the user to select a specific color value within a range of values by sliding a slider linearly. It’s similar to scrolling but it limits the user to select a specific value with its minimum and maximum limits.

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Inquiries

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