Warp Perspective OpenCV Python With Source Code

Warp Perspective OpenCV Python With Source Code

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Warp Perspective OpenCV Python With Source Code

This Python Project With Source Code will show you how to apply warping transformations to obtain a “birds-eye-view” of given cards image. From there, we will be able to crop out the selected card.

What is OpenCV?

OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library.

This library is capable of processing real-time image and video while also boasting analytical capabilities. It supports the Deep Learning frameworks.

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 you don’t know what would be the the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you.

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

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

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

Time needed: 5 minutes

These are the steps on how to run Warp Perspective 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.
    Warp Perspective 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.
    Warp Perspective OpenCV open project

  • Step 3: Run the project.

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

Installed Libraries

import cv2
import numpy as np

Complete Source Code

################### Simple Detect #############

# import cv2
# def mousePoints(event,x,y,flags,params):
#     if event == cv2.EVENT_LBUTTONDOWN:
#         print(x,y)
#
# img = cv2.imread('Resources/cards.jpg')
# cv2.imshow("Original Image ", img)
# cv2.setMouseCallback("Original Image ", mousePoints)
# cv2.waitKey(0)


######### WARP PRESPECTIVE IMPLEMANTAION WITH MOUSE CLICKS ##################

import cv2
import numpy as np

circles = np.zeros((4,2),np.int)
counter = 0

def mousePoints(event,x,y,flags,params):
    global counter
    if event == cv2.EVENT_LBUTTONDOWN:

        circles[counter] = x,y
        counter = counter + 1
        print(circles)



img = cv2.imread('card.jpg')
while True:


    if counter == 4:
        width, height = 250,350
        pts1 = np.float32([circles[0],circles[1],circles[2],circles[3]])
        pts2 = np.float32([[0,0],[width,0],[0,height],[width,height]])
        matrix = cv2.getPerspectiveTransform(pts1,pts2)
        imgOutput = cv2.warpPerspective(img,matrix,(width,height))
        cv2.imshow("Output Image ", imgOutput)


    for x in range (0,4):
        cv2.circle(img,(circles[x][0],circles[x][1]),3,(0,255,0),cv2.FILLED)

    cv2.imshow("Original Image ", img)
    cv2.setMouseCallback("Original Image ", mousePoints)
    cv2.waitKey(1)

Output:

Warp Perspective OpenCV Python Output
Warp Perspective OpenCV Python Output

Download 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.

DOWNLOAD

Summary

In this Python Project With Source Code we applied perspective and warping transformations using Python and OpenCV.

We utilized the cv2.getPerspectiveTransform and cv2.warpPerspective functions to accomplish these transformations.

We then reviewed a perspective transform OpenCV example.

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Inquiries

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