landing_space/camera_calibration/calibration.py

import cv2
import os
import numpy as np



# LỰa chọn độ phân giải bằng cách thay đổi set_resolution
resolution = 'original'

# Checker board size
CHESS_BOARD_DIM = (9, 6)

# The size of Square in the checker board.
SQUARE_SIZE = 24  # millimeters

# termination criteria
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)


calib_data_path = f"camera_calibration/calib_data/{resolution}"
if not os.path.exists(calib_data_path):
    os.makedirs(calib_data_path)

# prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0)
obj_3D = np.zeros((CHESS_BOARD_DIM[0] * CHESS_BOARD_DIM[1], 3), np.float32)

obj_3D[:, :2] = np.mgrid[0 : CHESS_BOARD_DIM[0], 0 : CHESS_BOARD_DIM[1]].T.reshape(
    -1, 2
)
obj_3D *= SQUARE_SIZE
print(obj_3D)

# Arrays to store object points and image points from all the images.
obj_points_3D = []  # 3d point in real world space
img_points_2D = []  # 2d points in image plane.

# The images directory path
image_dir_path = f"camera_calibration/images/{resolution}"
files = os.listdir(image_dir_path)
for file in files:
    print(file)
    imagePath = os.path.join(image_dir_path, file)

    image = cv2.imread(imagePath)
    grayScale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    ret, corners = cv2.findChessboardCorners(image, CHESS_BOARD_DIM, None)
    if ret == True:
        obj_points_3D.append(obj_3D)
        corners2 = cv2.cornerSubPix(grayScale, corners, (3, 3), (-1, -1), criteria)
        img_points_2D.append(corners2)

        img = cv2.drawChessboardCorners(image, CHESS_BOARD_DIM, corners2, ret)

cv2.destroyAllWindows()
ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(
    obj_points_3D, img_points_2D, grayScale.shape[::-1], None, None
)
print("calibrated")

np.savez(
    f"{calib_data_path}/MultiMatrix",
    camMatrix=mtx,
    distCoef=dist,
    rVector=rvecs,
    tVector=tvecs,
)
print(f'saved to {calib_data_path}/MultiMatrix')