无重叠视场双目相机标定的python代码

我可以回答这个问题。您可以使用OpenCV库中的cv2.stereoCalibrate函数进行无重叠视场双目相机标定。以下是一个简单的Python代码示例：

import cv2

# 左右相机图像文件路径
left_image_path = 'left.png'
right_image_path = 'right.png'

# 左右相机内参矩阵和畸变系数
left_camera_matrix = None
left_distortion_coefficients = None
right_camera_matrix = None
right_distortion_coefficients = None

# 左右相机外参矩阵
rotation_matrix = None
translation_vector = None

# 棋盘格参数
chessboard_size = (9, 6)  # 棋盘格内角点数
square_size = 0.02  # 棋盘格方块大小（单位：米）

# 读取左右相机图像
left_image = cv2.imread(left_image_path)
right_image = cv2.imread(right_image_path)

# 检测棋盘格内角点
left_ret, left_corners = cv2.findChessboardCorners(left_image, chessboard_size)
right_ret, right_corners = cv2.findChessboardCorners(right_image, chessboard_size)

# 如果左右相机都检测到了棋盘格内角点
if left_ret and right_ret:
    # 生成棋盘格内角点的三维坐标
    object_points = []
    for i in range(chessboard_size[1]):
        for j in range(chessboard_size[0]):
            object_points.append((j * square_size, i * square_size,