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
You can use PIL to draw rotated text. I suggest drawing the text onto a blank image, rotating that image, and then pasting the rotated image into the main image. Something like:
def draw_rotated_text(image, angle, xy, text, fill, *args, **kwargs):
""" Draw text at an angle into an image, takes the same arguments
as Image.text() except for:
:param image: Image to write text into
:param angle: Angle to write text at
"""
# get the size of our image
width, height = image.size
max_dim = max(width, height)
# build a transparency mask large enough to hold the text
mask_size = (max_dim * 2, max_dim * 2)
mask = Image.new('L', mask_size, 0)
# add text to mask
draw = ImageDraw.Draw(mask)
draw.text((max_dim, max_dim), text, 255, *args, **kwargs)
if angle % 90 == 0:
# rotate by multiple of 90 deg is easier
rotated_mask = mask.rotate(angle)
else:
# rotate an an enlarged mask to minimize jaggies
bigger_mask = mask.resize((max_dim*8, max_dim*8),
resample=Image.BICUBIC)
rotated_mask = bigger_mask.rotate(angle).resize(
mask_size, resample=Image.LANCZOS)
# crop the mask to match image
mask_xy = (max_dim - xy[0], max_dim - xy[1])
b_box = mask_xy + (mask_xy[0] + width, mask_xy[1] + height)
mask = rotated_mask.crop(b_box)
# paste the appropriate color, with the text transparency mask
color_image = Image.new('RGBA', image.size, fill)
image.paste(color_image, mask)
import numpy as np
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
char_image = np.zeros((100, 150, 3), np.uint8)
# convert to pillow image
pillowImage = Image.fromarray(char_image)
# draw the text
font = ImageFont.truetype("arial.ttf", 32)
draw_rotated_text(pillowImage, 35, (50, 50), 'ABC', (128, 255, 128), font=font)
pillowImage.show()
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))