在 Python 中以角度(旋转)绘制文本 [英] Draw text on an angle (rotated) in Python

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问题描述

我在 Python 中的

I am drawing text onto a numpy array image in Python (using a custom font). Currently I am converting the image to PIL, drawing the text and then converting back to a numpy array.

import numpy as np
import cv2

from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont

char_image = np.zeros((200, 300, 3), np.uint8)

# convert to pillow image
pillowImage = Image.fromarray(char_image)
draw = ImageDraw.Draw(pillowImage)

# add chars to image
font = ImageFont.truetype("arial.ttf", 32)
draw.text((50, 50), 'ABC', (255, 255, 255), font=font)

# convert back to numpy array
char_image = np.array(pillowImage, np.uint8)

# show image on screen
cv2.imshow('myImage', char_image)
cv2.waitKey(0)

Is there anyway to draw the text on a given angle, ie. 33 degrees?

Rotating the image once the text has been drawn is not an option

解决方案

Using matplotlib, first visualize array and draw on it, get the raw data from the figure back. Pro: both tools are quite high level and let you deal with many details of the process. ax.annotate() offers flexibility for where and how to draw and set font properties, and plt.matshow() offers flexibility that lets you deal with aspects of array visualization.

import matplotlib.pyplot as plt
import scipy as sp

# make Data array to draw in
M = sp.zeros((500,500))

dpi = 300.0

# create a frameless mpl figure
fig, axes = plt.subplots(figsize=(M.shape[0]/dpi,M.shape[1]/dpi),dpi=dpi)
axes.axis('off')
fig.subplots_adjust(bottom=0,top=1.0,left=0,right=1)
axes.matshow(M,cmap='gray')

# set custom font
import matplotlib.font_manager as fm
ttf_fname = '/usr/share/fonts/truetype/ubuntu-font-family/Ubuntu-B.ttf'
prop = fm.FontProperties(fname=ttf_fname)

# annotate something
axes.annotate('ABC',xy=(250,250),rotation=45,fontproperties=prop,color='white')

# get fig image data and read it back to numpy array
fig.canvas.draw()
w,h = fig.canvas.get_width_height()
Imvals = sp.fromstring(fig.canvas.tostring_rgb(),dtype='uint8')
ImArray = Imvals.reshape((w,h,3))

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