move code for running in the background to run.py
This commit is contained in:
@@ -1,95 +1,6 @@
|
||||
import time
|
||||
from pathlib import Path
|
||||
|
||||
import PIL.Image
|
||||
import PIL.ImageGrab
|
||||
import fire
|
||||
import numpy as np
|
||||
import pyperclip
|
||||
from loguru import logger
|
||||
|
||||
from manga_ocr import MangaOcr
|
||||
|
||||
|
||||
def are_images_identical(img1, img2):
|
||||
if None in (img1, img2):
|
||||
return img1 == img2
|
||||
|
||||
img1 = np.array(img1)
|
||||
img2 = np.array(img2)
|
||||
|
||||
return (img1.shape == img2.shape) and (img1 == img2).all()
|
||||
|
||||
|
||||
def process_and_write_results(mocr, img_or_path, write_to):
|
||||
t0 = time.time()
|
||||
text = mocr(img_or_path)
|
||||
t1 = time.time()
|
||||
|
||||
logger.info(f'Text recognized in {t1 - t0:0.03f} s: {text}')
|
||||
|
||||
if write_to == 'clipboard':
|
||||
pyperclip.copy(text)
|
||||
else:
|
||||
write_to = Path(write_to)
|
||||
if write_to.suffix != '.txt':
|
||||
raise ValueError('write_to must be either "clipboard" or a path to a text file')
|
||||
|
||||
with write_to.open('a') as f:
|
||||
f.write(text + '\n')
|
||||
|
||||
|
||||
def run(
|
||||
read_from='clipboard',
|
||||
write_to='clipboard',
|
||||
pretrained_model_name_or_path='kha-white/manga-ocr-base',
|
||||
force_cpu=False,
|
||||
delay_secs=0.1,
|
||||
):
|
||||
mocr = MangaOcr(pretrained_model_name_or_path, force_cpu)
|
||||
|
||||
if read_from == 'clipboard':
|
||||
logger.info('Reading from clipboard')
|
||||
|
||||
img = None
|
||||
while True:
|
||||
old_img = img
|
||||
|
||||
try:
|
||||
img = PIL.ImageGrab.grabclipboard()
|
||||
except OSError:
|
||||
logger.warning('Error while reading from clipboard')
|
||||
else:
|
||||
if isinstance(img, PIL.Image.Image) and not are_images_identical(img, old_img):
|
||||
process_and_write_results(mocr, img, write_to)
|
||||
|
||||
time.sleep(delay_secs)
|
||||
|
||||
|
||||
else:
|
||||
read_from = Path(read_from)
|
||||
if not read_from.is_dir():
|
||||
raise ValueError('read_from must be either "clipboard" or a path to a directory')
|
||||
|
||||
logger.info(f'Reading from directory {read_from}')
|
||||
|
||||
old_paths = set()
|
||||
for path in read_from.iterdir():
|
||||
old_paths.add(path)
|
||||
|
||||
while True:
|
||||
for path in read_from.iterdir():
|
||||
if path not in old_paths:
|
||||
old_paths.add(path)
|
||||
|
||||
try:
|
||||
img = PIL.Image.open(path)
|
||||
except PIL.UnidentifiedImageError:
|
||||
logger.warning(f'Error while reading file {path}')
|
||||
else:
|
||||
process_and_write_results(mocr, img, write_to)
|
||||
|
||||
time.sleep(delay_secs)
|
||||
from manga_ocr.run import run
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
106
manga_ocr/run.py
Normal file
106
manga_ocr/run.py
Normal file
@@ -0,0 +1,106 @@
|
||||
import time
|
||||
from pathlib import Path
|
||||
|
||||
import PIL.Image
|
||||
import PIL.ImageGrab
|
||||
import fire
|
||||
import numpy as np
|
||||
import pyperclip
|
||||
from loguru import logger
|
||||
|
||||
from manga_ocr import MangaOcr
|
||||
|
||||
|
||||
def are_images_identical(img1, img2):
|
||||
if None in (img1, img2):
|
||||
return img1 == img2
|
||||
|
||||
img1 = np.array(img1)
|
||||
img2 = np.array(img2)
|
||||
|
||||
return (img1.shape == img2.shape) and (img1 == img2).all()
|
||||
|
||||
|
||||
def process_and_write_results(mocr, img_or_path, write_to):
|
||||
t0 = time.time()
|
||||
text = mocr(img_or_path)
|
||||
t1 = time.time()
|
||||
|
||||
logger.info(f'Text recognized in {t1 - t0:0.03f} s: {text}')
|
||||
|
||||
if write_to == 'clipboard':
|
||||
pyperclip.copy(text)
|
||||
else:
|
||||
write_to = Path(write_to)
|
||||
if write_to.suffix != '.txt':
|
||||
raise ValueError('write_to must be either "clipboard" or a path to a text file')
|
||||
|
||||
with write_to.open('a') as f:
|
||||
f.write(text + '\n')
|
||||
|
||||
|
||||
def run(read_from='clipboard',
|
||||
write_to='clipboard',
|
||||
pretrained_model_name_or_path='kha-white/manga-ocr-base',
|
||||
force_cpu=False,
|
||||
delay_secs=0.1
|
||||
):
|
||||
"""
|
||||
Run OCR in the background, waiting for new images to appear either in system clipboard, or a directory.
|
||||
Recognized texts can be either saved to system clipboard, or appended to a text file.
|
||||
|
||||
:param read_from: Specifies where to read input images from. Can be either "clipboard", or a path to a directory.
|
||||
:param write_to: Specifies where to save recognized texts to. Can be either "clipboard", or a path to a text file.
|
||||
:param pretrained_model_name_or_path: Path to a trained model, either local or from Transformers' model hub.
|
||||
:param force_cpu: If True, OCR will use CPU even if GPU is available.
|
||||
:param delay_secs: How often to check for new images, in seconds.
|
||||
"""
|
||||
|
||||
mocr = MangaOcr(pretrained_model_name_or_path, force_cpu)
|
||||
|
||||
if read_from == 'clipboard':
|
||||
logger.info('Reading from clipboard')
|
||||
|
||||
img = None
|
||||
while True:
|
||||
old_img = img
|
||||
|
||||
try:
|
||||
img = PIL.ImageGrab.grabclipboard()
|
||||
except OSError:
|
||||
logger.warning('Error while reading from clipboard')
|
||||
else:
|
||||
if isinstance(img, PIL.Image.Image) and not are_images_identical(img, old_img):
|
||||
process_and_write_results(mocr, img, write_to)
|
||||
|
||||
time.sleep(delay_secs)
|
||||
|
||||
|
||||
else:
|
||||
read_from = Path(read_from)
|
||||
if not read_from.is_dir():
|
||||
raise ValueError('read_from must be either "clipboard" or a path to a directory')
|
||||
|
||||
logger.info(f'Reading from directory {read_from}')
|
||||
|
||||
old_paths = set()
|
||||
for path in read_from.iterdir():
|
||||
old_paths.add(path)
|
||||
|
||||
while True:
|
||||
for path in read_from.iterdir():
|
||||
if path not in old_paths:
|
||||
old_paths.add(path)
|
||||
|
||||
try:
|
||||
img = PIL.Image.open(path)
|
||||
except PIL.UnidentifiedImageError:
|
||||
logger.warning(f'Error while reading file {path}')
|
||||
else:
|
||||
process_and_write_results(mocr, img, write_to)
|
||||
|
||||
time.sleep(delay_secs)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
fire.Fire(run)
|
||||
Reference in New Issue
Block a user