PaddleOCR/StyleText/engine/text_drawers.py

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from PIL import Image, ImageDraw, ImageFont
import numpy as np
import cv2
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from utils.logging import get_logger
class StdTextDrawer(object):
def __init__(self, config):
self.logger = get_logger()
self.max_width = config["Global"]["image_width"]
self.char_list = " 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
self.height = config["Global"]["image_height"]
self.font_dict = {}
self.load_fonts(config["TextDrawer"]["fonts"])
self.support_languages = list(self.font_dict)
def load_fonts(self, fonts_config):
for language in fonts_config:
font_path = fonts_config[language]
font_height = self.get_valid_height(font_path)
font = ImageFont.truetype(font_path, font_height)
self.font_dict[language] = font
def get_valid_height(self, font_path):
font = ImageFont.truetype(font_path, self.height - 4)
_, font_height = font.getsize(self.char_list)
if font_height <= self.height - 4:
return self.height - 4
else:
return int((self.height - 4)**2 / font_height)
def draw_text(self,
corpus,
language="en",
crop=True,
style_input_width=None):
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if language not in self.support_languages:
self.logger.warning(
"language {} not supported, use en instead.".format(language))
language = "en"
if crop:
width = min(self.max_width, len(corpus) * self.height) + 4
else:
width = len(corpus) * self.height + 4
if style_input_width is not None:
width = min(width, style_input_width)
corpus_list = []
text_input_list = []
while len(corpus) != 0:
bg = Image.new("RGB", (width, self.height), color=(127, 127, 127))
draw = ImageDraw.Draw(bg)
char_x = 2
font = self.font_dict[language]
i = 0
while i < len(corpus):
char_i = corpus[i]
char_size = font.getsize(char_i)[0]
# split when char_x exceeds char size and index is not 0 (at least 1 char should be wroten on the image)
if char_x + char_size >= width and i != 0:
text_input = np.array(bg).astype(np.uint8)
text_input = text_input[:, 0:char_x, :]
corpus_list.append(corpus[0:i])
text_input_list.append(text_input)
corpus = corpus[i:]
break
draw.text((char_x, 2), char_i, fill=(0, 0, 0), font=font)
char_x += char_size
i += 1
# the whole text is shorter than style input
if i == len(corpus):
text_input = np.array(bg).astype(np.uint8)
text_input = text_input[:, 0:char_x, :]
corpus_list.append(corpus[0:i])
text_input_list.append(text_input)
corpus = corpus[i:]
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break
return corpus_list, text_input_list