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| import cv2
import numpy as np
gap=4.1
img=np.ones((3508,2479),dtype=np.uint8)*255
x0=y0=12
ppmm=11.8 # 1mm对应图片里的11.8像素
cv2.line(img,(x0,y0),(2478,y0),(0),1)
rec_ys1=[int(i+0.5) for i in np.arange(y0+ppmm,3507,2*ppmm)]
rec_ys2=[int(i+0.5) for i in np.arange(y0,3507,2*ppmm)]
while int(x0+0.5+2*gap*ppmm)<2479:
cv2.line(img,(int(x0+0.5),y0),(int(x0+0.5),3507),(0),1)
for i in range(1,len(rec_ys1),2):
cv2.rectangle(img,(int(x0+0.5),rec_ys1[i-1]),(int(x0+ppmm*gap+0.5),rec_ys1[i]),(0),-1)
x0+=ppmm*gap
cv2.line(img,(int(x0+0.5),y0),(int(x0+0.5),3507),(0),1)
for ry2 in rec_ys2:
cv2.line(img,(int(x0+0.5),ry2),(int(x0+ppmm*gap+0.5),ry2),(0),1)
x0+=ppmm*gap
cv2.line(img,(int(x0+0.5),y0),(int(x0+0.5),3507),(0),1)
cv2.imwrite('test.jpg',img)
|