K_程式人

import cv2

import math

img = cv2.imread('test.jpg') #讀取影像

(h, w) = img.shape[:2] #取得影像長寬

center = (w/2, h/2) #取得影像中央座標位置

#旋轉影像

angle = 60 #設置旋轉角度

M = cv2.getRotationMatrix2D(center, angle, 1.0)

rotated_img = cv2.warpAffine(img, M, (w, h)) 

cv2.imwrite('result.jpg', rotated_img)

#未旋轉時, 方框的四個座標位置

(x1, y1) = (227, 121)

(x2, y2) = (436, 121)

(x3, y3) = (227, 381)

(x4, y4) = (436, 381)

#轉換後, 四個座標位置

tmp_angle = (angle * math.pi)/180

(tmp_x1,tmp_y1) = (x1-center[0], y1-center[1])

(tmp_x2, tmp_y2) = (x2-center[0], y2-center[1])

(tmp_x3, tmp_y3) = (x3-center[0], y3-center[1])

(tmp_x4, tmp_y4) = (x4-center[0], y4-center[1])

X1 = int(tmp_x1 * math.cos(tmp_angle) + tmp_y1 * math.sin(tmp_angle) + center[0])

Y1 = int(tmp_x1 * math.sin(tmp_angle) + tmp_y1 * math.cos(tmp_angle) + center[1])

X2 = int(tmp_x2 * math.cos(tmp_angle) + tmp_y2 * math.sin(tmp_angle) + center[0])

Y2 = int(tmp_x2 * math.sin(tmp_angle) + tmp_y2 * math.cos(tmp_angle) + center[1])

X3 = int(tmp_x3 * math.cos(tmp_angle) + tmp_y3 * math.sin(tmp_angle) + center[0])

Y3 = int(tmp_x3 * math.sin(tmp_angle) + tmp_y3 * math.cos(tmp_angle) + center[1])

X4 = int(tmp_x4 * math.cos(tmp_angle) + tmp_y4 * math.sin(tmp_angle) + center[0])

Y4 = int(tmp_x4 * math.sin(tmp_angle) + tmp_y4 * math.cos(tmp_angle) + center[1])

※查詢其他OpenCV用法如下※

openCV應用總整理: 點擊我