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# coding: utf-8
# Copyright (C) 2022, [Breezedeus](https://github.com/breezedeus).
# 安装 pyperclip
# > pip install pyperclip
import os
import time
import glob
import pyperclip as pc
from pix2text import set_logger, Pix2Text, merge_line_texts, render_html
logger = set_logger(log_level='DEBUG')
SCREENSHOT_DIR = os.getenv(
"SCREENSHOT_DIR", '/Users/king/Pictures/screenshot_from_xnip'
)
thresholds = {
'formula2general': 0.65, # 如果识别为 `formula` 类型，但得分小于此阈值，则改为 `general` 类型
'english2general': 0.75, # 如果识别为 `english` 类型，但得分小于此阈值，则改为 `general` 类型
}
config = dict(analyzer=dict(model_name='mfd-1.5'), thresholds=thresholds)
P2T = Pix2Text.from_config(config)
def get_newest_fp_time(screenshot_dir):
fn_list = glob.glob1(screenshot_dir, '*g')
fp_list = [os.path.join(screenshot_dir, fn) for fn in fn_list]
if not fp_list:
return None, None
fp_list.sort(key=lambda fp: os.path.getmtime(fp), reverse=True)
return fp_list[0], os.path.getmtime(fp_list[0])
def recognize(screenshot_dir, delta_interval):
while True:
newest_fp, newest_mod_time = get_newest_fp_time(screenshot_dir)
if (
newest_mod_time is not None
and time.time() - newest_mod_time < delta_interval
):
logger.info(f'analyzing screenshot file {newest_fp}')
image_type, result = _recognize_newest(newest_fp)
logger.info('image type: %s, image text: %s', image_type, result)
if result:
pc.copy(result)
# render_html('./analysis_res.jpg', image_type, result, out_html_fp='out-text.html')
time.sleep(1)
def _recognize_newest(newest_fp):
res = P2T.recognize(
newest_fp,
use_analyzer=True,
save_analysis_res='./analysis_res.jpg',
embed_sep=(' $$', '$$ '),
isolated_sep=('\n', '\n'),
)
if len(res) == 1:
return res[0]['type'], res[0]['text']
elif len(res) > 1:
box_types = set([info['type'] for info in res])
if len(box_types) > 1:
image_type = 'hybrid'
else:
image_type = list(box_types)[0]
text = merge_line_texts(res, auto_line_break=True)
return image_type, text
return 'general', ''
if __name__ == '__main__':
recognize(SCREENSHOT_DIR, 1.05)
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