Last active
August 8, 2016 21:25
-
-
Save dbaldwin/21d55b134d71fd66e06dce8b91651a03 to your computer and use it in GitHub Desktop.
Basic script to undistort wide angle photo taken by Phantom 4 for use in Open Drone Map
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Original howto article: http://www.janeriksolem.net/2014/05/how-to-calibrate-camera-with-opencv-and.html | |
# Original phantom 4 photos and calibrated output is here: https://www.dropbox.com/sh/w0cnw6u3b511eth/AACqFDhnvMAB3YTFRD_BZnONa?dl=0 | |
# Read all about it in this ODM issue: https://github.com/OpenDroneMap/OpenDroneMap/issues/350 | |
import numpy as np | |
import cv2 | |
# The following parameters come from running the OpenCV calibrate.py script | |
K = np.array([[2365.85284, 0, 1970.24146],[0, 2364.17864, 1497.37745], [0, 0, 1]]) | |
d = np.array([.0181517127, .134277087, 0, 0, 0]) | |
# read one of your images | |
img = cv2.imread("/vagrant/calibration_images/DJI_0118.JPG") | |
h, w = img.shape[:2] | |
# undistort | |
newcamera, roi = cv2.getOptimalNewCameraMatrix(K, d, (w,h), 0) | |
newimg = cv2.undistort(img, K, d, None, newcamera) | |
cv2.imwrite("/vagrant/output/DJI_0118_original.JPG", img) | |
cv2.imwrite("/vagrant/output/DJI_0118_undistorted.JPG", newimg) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment