from PIL import Image, ImageDraw, ImageFont import numpy as np import cv2 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): 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:] break return corpus_list, text_input_list