Opencv-Python图像透视变换cv2.warpPerspective的示例

Opencv-Python图像透视变换cv2.warpPerspective

代码如下:

# -*- coding:utf-8 -*-

import cv2

import numpy as np

import sys

img = cv2.imread('test.jpg')

# cv2.imshow("original", img)

# 可选,扩展图像,保证内容不超出可视范围

img = cv2.copyMakeBorder(img, 200, 200, 200, 200, cv2.BORDER_CONSTANT, 0)

w, h = img.shape[0:2]

anglex = 0

angley = 30

anglez = 0 # 是旋转

fov = 42

r = 0

def rad(x):

return x * np.pi / 180

def get_warpR():

global anglex,angley,anglez,fov,w,h,r

# 镜头与图像间的距离,21为半可视角,算z的距离是为了保证在此可视角度下恰好显示整幅图像

z = np.sqrt(w ** 2 + h ** 2) / 2 / np.tan(rad(fov / 2))

# 齐次变换矩阵

rx = np.array([[1, 0, 0, 0],

[0, np.cos(rad(anglex)), -np.sin(rad(anglex)), 0],

[0, -np.sin(rad(anglex)), np.cos(rad(anglex)), 0, ],

[0, 0, 0, 1]], np.float32)

ry = np.array([[np.cos(rad(angley)), 0, np.sin(rad(angley)), 0],

[0, 1, 0, 0],

[-np.sin(rad(angley)), 0, np.cos(rad(angley)), 0, ],

[0, 0, 0, 1]], np.float32)

rz = np.array([[np.cos(rad(anglez)), np.sin(rad(anglez)), 0, 0],

[-np.sin(rad(anglez)), np.cos(rad(anglez)), 0, 0],

[0, 0, 1, 0],

[0, 0, 0, 1]], np.float32)

r = rx.dot(ry).dot(rz)

# 四对点的生成

pcenter = np.array([h / 2, w / 2, 0, 0], np.float32)

p1 = np.array([0, 0, 0, 0], np.float32) - pcenter

p2 = np.array([w, 0, 0, 0], np.float32) - pcenter

p3 = np.array([0, h, 0, 0], np.float32) - pcenter

p4 = np.array([w, h, 0, 0], np.float32) - pcenter

dst1 = r.dot(p1)

dst2 = r.dot(p2)

dst3 = r.dot(p3)

dst4 = r.dot(p4)

list_dst = [dst1, dst2, dst3, dst4]

org = np.array([[0, 0],

[w, 0],

[0, h],

[w, h]], np.float32)

dst = np.zeros((4, 2), np.float32)

# 投影至成像平面

for i in range(4):

dst[i, 0] = list_dst[i][0] * z / (z - list_dst[i][2]) + pcenter[0]

dst[i, 1] = list_dst[i][1] * z / (z - list_dst[i][2]) + pcenter[1]

warpR = cv2.getPerspectiveTransform(org, dst)

return warpR

def control():

global anglex,angley,anglez,fov,r

# 键盘控制

if 27 == c: # Esc quit

sys.exit()

if c == ord('w'):

anglex += 1

if c == ord('s'):

anglex -= 1

if c == ord('a'):

angley += 1

print(angley)

# dx=0

if c == ord('d'):

angley -= 1

if c == ord('u'):

anglez += 1

if c == ord('p'):

anglez -= 1

if c == ord('t'):

fov += 1

if c == ord('r'):

fov -= 1

if c == ord(' '):

anglex = angley = anglez = 0

if c == ord('e'):

print("======================================")

print('Rotation Matrix:')

print(r)

print('angle alpha(anglex):')

print(anglex)

print('angle beta(angley):')

print(angley)

print('dz(anglez):')

print(anglez)

while True:

warpR = get_warpR()

result = cv2.warpPerspective(img, warpR, (h, w))

cv2.namedWindow('result',2)

cv2.imshow("result", result)

c = cv2.waitKey(30)

control()

cv2.destroyAllWindows()

运行效果:

控制:

  • s控制垂直方向上的形变
  • a和d控制水平方向上的行变
  • u和p控制角度旋转
  • e 输出当前旋转矩阵参数

总结

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