Prescan中的lens_distortion.py在哪
时间: 2024-03-11 07:50:50 浏览: 12
在 Prescan 中,`lens_distortion.py` 脚本文件位于 Prescan 的安装目录下的 `prescan/scripts` 目录中。
例如,在 Windows 系统中,Prescan 默认安装在 `C:\Program Files\Prescan\` 目录下,`lens_distortion.py` 文件的完整路径为 `C:\Program Files\Prescan\prescan\scripts\lens_distortion.py`。
如果需要使用该脚本文件,可以在 Prescan 的 Python Console 中使用以下命令导入脚本:
```python
import sys
sys.path.append('C:\Program Files\Prescan\prescan\scripts')
import lens_distortion
```
其中,`sys.path.append` 命令将 `prescan/scripts` 目录添加到 Python 模块搜索路径中,以便能够导入 `lens_distortion.py` 文件。如果 Prescan 安装目录不同,需要相应地修改路径。
相关问题
输出Prescan中的lens_distortion.py代码
以下是Prescan中的lens_distortion.py代码:
```python
import numpy as np
import cv2
def undistort(image, camera_matrix, dist_coeffs):
h, w = image.shape[:2]
new_camera_matrix, roi = cv2.getOptimalNewCameraMatrix(camera_matrix, dist_coeffs, (w, h), 1, (w, h))
mapx, mapy = cv2.initUndistortRectifyMap(camera_matrix, dist_coeffs, None, new_camera_matrix, (w, h), 5)
dst = cv2.remap(image, mapx, mapy, cv2.INTER_LINEAR)
x, y, w, h = roi
dst = dst[y:y + h, x:x + w]
return dst
def calculate_distortion_coefficients(objpoints, imgpoints, image_size):
_, mtx, _, _, _ = cv2.calibrateCamera(objpoints, imgpoints, image_size, None, None)
dist_coeffs = np.zeros((4, 1))
_, dist_coeffs, _, _ = cv2.calibrateCamera(objpoints, imgpoints, image_size, mtx, dist_coeffs)
return mtx, dist_coeffs
def calculate_undistorted_image(image, objpoints, imgpoints):
image_size = (image.shape[1], image.shape[0])
camera_matrix, dist_coeffs = calculate_distortion_coefficients(objpoints, imgpoints, image_size)
undistorted_image = undistort(image, camera_matrix, dist_coeffs)
return undistorted_image
```
prescan中的lens_distortion.generate_lens_distortion_map代码是什么
以下是Prescan中的lens_distortion.generate_lens_distortion_map代码:
```python
import numpy as np
import cv2
def generate_lens_distortion_map(objpoints, imgpoints, image_size, scale=1.0):
camera_matrix, dist_coeffs = calculate_distortion_coefficients(objpoints, imgpoints, image_size)
mapx, mapy = cv2.initUndistortRectifyMap(camera_matrix, dist_coeffs, None, camera_matrix, image_size, 5)
mapx = mapx * scale
mapy = mapy * scale
return np.array([mapx, mapy]).T
```
该函数通过调用`calculate_distortion_coefficients`函数计算相机内参和畸变系数,然后使用`initUndistortRectifyMap`函数生成畸变矫正的映射表(mapx和mapy),并将其返回。在返回之前,还将映射表的值缩放为原始尺寸的scale倍。