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Perspective Transformation – Python OpenCV
  • Difficulty Level : Easy
  • Last Updated : 09 Jul, 2020

In Perspective Transformation, , we can change the perspective of a given image or video for getting better insights about the required information. In Perspective Transformation, we need provide the points on the image from which want to gather information by changing the perspective. We also need to provide the points inside which we want to display our image. Then, we get the perspective transform from the two given set of points and wrap it with the original image.

We use cv2.getPerspectiveTransform and then cv2.warpPerspective .

cv2.getPerspectiveTransform method -

Syntax: cv2.getPerspectiveTransform(src, dst)
->src: Coordinates of quadrangle vertices in the source image.
->dst: Coordinates of the corresponding quadrangle vertices in the destination image.

cv2.wrapPerspective method -

Syntax: cv2.warpPerspective(src, dst, dsize)

->src: Source Image
->dst: output image that has the size dsize and the same type as src.
->dsize: size of output image

Below is the Python code explaining Perspective Transformation –

# import necessary libraries 
import cv2 
import numpy as np 
# Turn on Laptop's webcam
cap = cv2.VideoCapture(0)
while True:
    ret, frame =
    # Locate points of the documents or object which you want to transform
    pts1 = np.float32([[0, 260], [640, 260], [0, 400], [640, 400]])
    pts2 = np.float32([[0, 0], [400, 0], [0, 640], [400, 640]])
    # Apply Perspective Transform Algorithm
    matrix = cv2.getPerspectiveTransform(pts1, pts2)
    result = cv2.warpPerspective(frame, matrix, (500, 600))
    # Wrap the transformed image
    cv2.imshow('frame', frame) # Inital Capture
    cv2.imshow('frame1', result) # Transformed Capture
    if cv2.waitKey(24) == 27:

Input Image:


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