나는"가"에서 영 edge 탐지기입니다.
그러나,원형 텍스트를 포장 할 수 있는 아주 간단하게 파이썬/지팡이 사용하는 ImageMagick. 또 하나를 할 수 있는 파이썬/OpenCV 를 사용하여 cv2.매핑하고 사용자 지정 변환 maps.
입력:
1. Python 지팡이
(출력 크기에 따라 자동으로 결정됩 입력 크기)
from wand.image import Image
from wand.font import Font
from wand.display import display
with Image(filename='some_text.png') as img:
img.background_color = 'white'
img.virtual_pixel = 'white'
# 360 degree arc, rotated 0 degrees
img.distort('arc', (360,0))
img.save(filename='some_text_arc.png')
img.format = 'png'
display(img)
결과:
2. Python/OpenCV
import numpy as np
import cv2
import math
# read input
img = cv2.imread("some_text.png")
hin, win = img.shape[:2]
win2 = win / 2
# specify desired square output dimensions and center
hout = 100
wout = 100
xcent = wout / 2
ycent = hout / 2
hwout = max(hout,wout)
hwout2 = hwout / 2
# set up the x and y maps as float32
map_x = np.zeros((hout, wout), np.float32)
map_y = np.zeros((hout, wout), np.float32)
# create map with the arc distortion formula --- angle and radius
for y in range(hout):
Y = (y - ycent)
for x in range(wout):
X = (x - xcent)
XX = (math.atan2(Y,X)+math.pi/2)/(2*math.pi)
XX = XX - int(XX+0.5)
XX = XX * win + win2
map_x[y, x] = XX
map_y[y, x] = hwout2 - math.hypot(X,Y)
# do the remap this is where the magic happens
result = cv2.remap(img, map_x, map_y, cv2.INTER_CUBIC, borderMode = cv2.BORDER_CONSTANT, borderValue=(255,255,255))
# save results
cv2.imwrite("some_text_arc.jpg", result)
# display images
cv2.imshow('img', img)
cv2.imshow('result', result)
cv2.waitKey(0)
cv2.destroyAllWindows()
결과:
wand
Python 래퍼 ImageMagick docs.wand-py.org/en/0.6.7