Summary

Prerequisites:

• python >= 3.7
• cv2 >= 4.2
• numpy >= 1.18
• tqdm (Progress bar : pip install tqdm)

Files:

• calibrate.py: cv2 script

• common.py: cv2 script

• main.py : Applies image_undist() to images(.bmp) in data folder

• remove_distortion.py: Contains DistortionRemover class

• utils.py: Utilities to read and write images, load config, etc.

Data:

• calibration_images: Images to get distortion values
• output : Output folder of calibrate.py
• data : Images to remove distortions from
• undist_output : Output folder of image_undist()

Usage:

To get image params:

• Run calibrate.py along with file name
• Example:
  • python calibrate.py "calibration_images/chess_board_jpg.jpg"

To get undistorted images:

• Run main.py
• Outputs undistorted images to output folder

Future modifications:

• Use calibrate.py to output config.json
• Support different image types

References

• https://hackaday.io/project/12384-autofan-automated-control-of-air-flow/log/41862-correcting-for-lens-distortions

• https://docs.opencv.org/2.4/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html