Equirec2Perspec

1 Equirectangular to perspective correction

This scrip allows to correct equirectangular frames to be converted into regular perspective images without distrortion. This will allow pre-trained deep learning models to apply inference on coverted 360 images.

1.1 Reference

The code was submitted to github by Fuen Wang

The code is downloaded from Githum here

1.2 How the code works

1.2.1 How the code works

This is a two-step process, In the first step, an equirectangular frame is loaded. In the second step the conversion happens so that

1.2.2 Load equirectangular image

equ = E2P.Equirectangular('src/image.jpg')

1.2.3 Specify parameters(FOV, theta, phi, height, width)

img = equ.GetPerspective(FOV, theta, phi, height, width)

In this last step,

• FOV is the field of view in degrees. For instance, a full frame (360-degree) equirectangular image can be split up in four directions of 90 degrees each.

• Theta is the Z-axis (horizontal) angle (right positive, left negative)

• Phi is the vertical angle (up/down, (up direction positive, down direction negative)

• The height and width is output image dimension

2 Example

Start by importing the dependacies

import os
import cv2 
import Equirec2Perspec as E2P 

print('done')

Load a sample image

2.1 Load the image

# Load this image
equ = E2P.Equirectangular('src/test1.JPG') 

print('done loading the image')

2.2 Convert the image

# Convert the image
img = equ.GetPerspective(120, 150, -15, 720, 1080)

print('done converting the image')

2.3 Store the image

# DStoring the image
cv2.imwrite('output.png',img)