camera-claibration-opencv-python's Introduction

Camera Claibration opencv

This script uses 9*6 checkerboard to generate calibration data and saves it using pickle so that it can be used to calibrate the camera. It also displays your calibrated images at the end This script uses live feed to detect corners.

Change value of "checkorBoardSize" to your checkerboard size
Change value of "dump_loc" to change the location where you save your calibration data
To change the number of images used to complete calibration change "calibrationImagesNo"
It is recommended that you use more than 50 images for calibration
Linux users need to make a small change in the beggining of the code please check the comments

Please use idle to run this code it might not run using direct cmd prompt

How to use

Run script select correct option
The camera should start and display the image in a window
Stand infront of the camera with checkerboard
If the board is detected frame will freeze for a few seconds and will play a sound
Do this on all sides of the frame
Repeat the no of times that you selected
When the calibration is done a new window will appear with the corrected frame
The parameters will be saved using pickle on the desktop or the place where you selected

Requirments:

Python-OpenCV(I tested it on CV2 version 3.4.x i havent tested it with cv2 version 4.0.x)
Numpy
Pickle

Note: pip installations should work here no need to compile from source

Note:If you aren't getting good results then play with the flags in:

[ln 135] ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints, gray.shape[::-1],None,None,flags=cv2.CALIB_USE_EXTRINSIC_GUESS+cv2.CALIB_FIX_K3)

depending upon the type of error you may need to use a different combination of flags

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