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import cv2 | |
import json | |
import math | |
import random | |
from io import BytesIO | |
import numpy as np | |
import os | |
import concurrent.futures | |
import argparse | |
import pandas as pd | |
from PIL import ImageDraw, ImageFont, Image | |
from multiprocessing.pool import ThreadPool | |
from dataclasses import dataclass | |
@dataclass | |
class TextInstance: | |
_font_mapping = None | |
text: str | |
width: float | |
height: float | |
left: float | |
top: float | |
angle: float | |
font: str | |
color: str = None | |
# @property | |
# def font_mapping(self): | |
# if type(self)._font_mapping is not None: | |
# font_files = pd.read_parquet("fonts.parquet") | |
# type(self)._font_mapping = font_files | |
# return type(self)._font_mapping | |
def as_tuple(self): | |
return (self.text, (self.left, self.top, self.width, self.height, self.angle)) | |
# def get_font_file(self): | |
# font_id, font_index = self.font.split(',') | |
# return self.font_mapping[(self.font_mapping["_id"] == font_id) & (self.font_mapping["index"] == int(font_index))] | |
def get_font_file(self): | |
font_id, font_index = self.font.split(',') | |
return f"./fonts/{font_id}-{font_index}.ttf" | |
def render_text(image: Image, text_instance: TextInstance): | |
text, bbox = text_instance.as_tuple() | |
bbox = list(map(lambda x: x * 224 / 1645, bbox)) | |
font_file = text_instance.get_font_file() | |
# Binary search for the largest font size that fits the bbox | |
font_size = 1 | |
font_size_upper_bound = 200 | |
font_size_lower_bound = 1 | |
draw = ImageDraw.Draw(image) | |
while font_size_lower_bound < font_size_upper_bound: | |
font = ImageFont.truetype(font_file, size=font_size) | |
left, top, right, bottom = draw.multiline_textbbox(bbox[:2], text, font=font, align="center") | |
width = right - left | |
height = bottom - top | |
if width > bbox[2] or height > bbox[3]: | |
font_size_upper_bound = font_size | |
else: | |
font_size_lower_bound = font_size + 1 | |
font_size = (font_size_lower_bound + font_size_upper_bound) // 2 | |
draw.multiline_text( | |
bbox[:2], | |
text, | |
font=font, | |
fill="#000000" if text_instance.color is None else text_instance.color, | |
align="center", | |
) | |
def main(): | |
parser = argparse.ArgumentParser() | |
args = parser.parse_args() | |
lines = [] | |
with os.scandir("1206_mistake_samples") as it: | |
for entry in it: | |
if entry.is_file() and entry.name.endswith(".json"): | |
with open(entry.path, mode='r') as f: | |
meta = json.load(f) | |
img = Image.new("RGB", (224, 224), (0, 0, 0)) | |
for text, style, bbox in zip(meta['texts'], meta['styles'], meta['bbox']): | |
text_instance = TextInstance( | |
text = text, | |
left = bbox[0], | |
top = bbox[1], | |
width = bbox[2], | |
height = bbox[3], | |
angle = bbox[4], | |
font = style["font-family"], | |
color = style.get("color", None) | |
) | |
render_text(img, text_instance) | |
img.save(f"./1206_mistake_samples/{entry.name}.png") | |
if __name__ == "__main__": | |
main() |
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