antiOCR / app.py
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# coding: utf-8
# Copyright (C) 2022, [Breezedeus](https://github.com/breezedeus).
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import os
from PIL import Image, ImageFilter
import streamlit as st
from cnocr import CnOcr
from antiocr import AntiOcr, BG_IMAGE_FP, FONT_NAMES, set_logger, download_font
logger = set_logger()
st.set_page_config(layout="wide")
FONT_LOCAL_DIR = 'fonts'
@st.cache(allow_output_mutation=True)
def get_ocr_model():
return CnOcr()
def download_image_button(img):
from io import BytesIO
buf = BytesIO()
img.save(buf, format="JPEG")
byte_im = buf.getvalue()
st.download_button(
label="下载图片", data=byte_im, file_name="antiOCR.jpeg", mime="image/jpeg",
)
def main():
st.sidebar.header('输出设置')
with st.spinner('Downloading fonts ...'):
for fnt_fp in FONT_NAMES:
download_font(os.path.join(FONT_LOCAL_DIR, fnt_fp))
font_fn = st.sidebar.selectbox('选择字体', FONT_NAMES, index=0)
font_fp = os.path.join(FONT_LOCAL_DIR, font_fn)
char_reverse_ratio = st.sidebar.slider(
'文字倒转概率', min_value=0.0, max_value=1.0, value=0.1
)
char_to_pinyin_ratio = st.sidebar.slider(
'文字转拼音概率', min_value=0.0, max_value=1.0, value=0.1
)
cols = st.sidebar.columns(2)
min_font_size = int(cols[0].number_input('最小文字大小', 2, 80, value=15))
max_font_size = int(
cols[1].number_input(
'最大文字大小', min_font_size + 1, 120, value=max(40, min_font_size + 1)
)
)
text_color = st.sidebar.color_picker('文字颜色', value='#5087DC')
st.sidebar.markdown('----')
use_random_bg = st.sidebar.checkbox('随机生成背景图片')
if use_random_bg:
bg_text_density = st.sidebar.slider(
'背景图片文字密度', min_value=0.0, max_value=3.0, value=1.0
)
cols = st.sidebar.columns(2)
bg_min_size = int(
cols[0].number_input('背景图片最小文字', 2, 80, key='bg_min', value=15)
)
bg_max_size = int(
cols[1].number_input(
'背景图片最大文字',
bg_min_size + 1,
120,
key='bg_max',
value=max(70, bg_min_size + 1),
)
)
bg_text_color = st.sidebar.color_picker('背景图片文字颜色', value='#07BCE0')
bg_gen_config = dict(
text_density=bg_text_density,
text_color=bg_text_color,
min_font_size=bg_min_size,
max_font_size=bg_max_size,
)
bg_image = None
else:
bg_gen_config = None
bg_image = Image.open(BG_IMAGE_FP)
bg_image = bg_image.filter(ImageFilter.MaxFilter(3))
title = '让文字自由传播:<a href="https://github.com/breezedeus/antiOCR">antiOCR</a>'
st.markdown(f"<h1 style='text-align: center;'>{title}</h1>", unsafe_allow_html=True)
subtitle = (
'作者:<a href="https://github.com/breezedeus">breezedeus</a>; '
'欢迎加入 <a href="https://cnocr.readthedocs.io/zh/latest/contact/">交流群</a>'
)
st.markdown(
f"<div style='text-align: center;'>{subtitle}</div>", unsafe_allow_html=True
)
st.markdown('')
st.markdown('')
desc = '<strong>antiOCR</strong> 对指定的文字(来自输入或者图片)进行处理,输出图片,此图片无法通过OCR技术识别出有意义的文字。'
st.markdown(f"<div style='text-align: left;'>{desc}</div>", unsafe_allow_html=True)
st.markdown('')
st.subheader('选择待转换文字图片,或者直接输入待转换文字')
default_texts = '真的猛士,敢于直面惨淡的人生,敢于正视淋漓的鲜血。这是怎样的哀痛者和幸福者?然而造化又常常为庸人设计,以时间的流逝,来洗涤旧迹,仅是留下淡红的血色和微漠的悲哀。在这淡红的血色和微漠的悲哀中,又给人暂得偷生,维持着这似人非人的世界。 ——鲁迅'
content_file = st.file_uploader('输入待转换的文字图片:', type=["png", "jpg", "jpeg", "webp"])
ocr = get_ocr_model()
anti = AntiOcr()
ocr_texts = None
if content_file is not None:
try:
img = Image.open(content_file).convert('RGB')
ocr_out = ocr.ocr(img)
ocr_texts = '\n'.join([out['text'] for out in ocr_out])
except Exception as e:
st.error(e)
if not ocr_texts:
st.warning(f'抱歉,图片中未识别出任何文字。')
texts = st.text_area(
'或者,直接输入待转换的文字:', value=ocr_texts or '', height=120, placeholder=default_texts
)
texts = texts or default_texts
enter = st.button("生成图片")
if (content_file is not None and ocr_texts) or enter:
with st.spinner('图片生成中…'):
logger.info('\ngenerating an image for texts:\n %s', texts)
out_img = anti(
texts,
char_reverse_ratio=char_reverse_ratio,
char_to_pinyin_ratio=char_to_pinyin_ratio,
text_color=text_color,
min_font_size=min_font_size,
max_font_size=max_font_size,
bg_image=bg_image,
bg_gen_config=bg_gen_config,
font_fp=font_fp,
)
st.subheader('输出图片')
st.image(out_img)
download_image_button(out_img)
st.markdown('**对输出图片进行OCR,结果如下(如果依旧出现敏感词,尝试重新生成图片):**')
ocr_out = ocr.ocr(out_img)
new_texts = [out['text'] for out in ocr_out]
st.text('\n'.join(new_texts))
if __name__ == '__main__':
main()