【python】opencv教程CV2模块——图片处理，剪切缩放旋转

Z时代
2024-01-10
分类：综合

python

opencv教程CV2模块——图片处理，剪切缩放旋转

import cv2
import numpy as np
# 读取照片
img = cv2.imread('./imgg/1.jpeg')
# 沿着横纵轴放大1.6倍，然后平移(-150,-240)，最后沿原图大小截取，等效于裁剪并放大
M_crop_pic = np.array([
    [1.6, 0, -150],
    [0, 1.6, -240]
], dtype=np.float32)
img_pic = cv2.warpAffine(img, M_crop_pic, (960, 540))
cv2.imwrite('./out/lanka_pic.jpg', img_pic)
# x轴的剪切变换，角度15°
theta = 15 * np.pi / 180
M_shear = np.array([
    [1, np.tan(theta), 0],
    [0, 1, 0]
], dtype=np.float32)
img_sheared = cv2.warpAffine(img, M_shear, (400, 600))
cv2.imwrite('./out/lanka_safari_sheared.jpg', img_sheared)
# 顺时针旋转，角度15°
M_rotate = np.array([
    [np.cos(theta), -np.sin(theta), 0],
    [np.sin(theta), np.cos(theta), 0]
], dtype=np.float32)
img_rotated = cv2.warpAffine(img, M_rotate, (400, 600))
cv2.imwrite('./out/lanka_safari_rotated.jpg', img_rotated)
# 某种变换，具体旋转+缩放+旋转组合可以通过SVD分解理解
M = np.array([
    [1, 1.5, -400],
    [0.5, 2, -100]
], dtype=np.float32)
img_transformed = cv2.warpAffine(img, M, (400, 600))
cv2.imwrite('./out/lanka_safari_transformed.jpg', img_transformed)