sudacode/owocr
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Add EasyOCR/PaddleOCR, remove unneeded stuff

Browse Source
This commit is contained in:
AuroraWright
2023-12-07 22:43:16 +01:00
parent aae112529b
commit c0641918dd
60 changed files with 109 additions and 7196 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
manga_ocr/run.py
View File

@@ -12,17 +12,7 @@ from PIL import UnidentifiedImageError
from loguru import logger
from pynput import keyboard
from manga_ocr import MangaOcr
from manga_ocr import GoogleVision
from manga_ocr import AppleVision
from manga_ocr import AzureComputerVision
engines = ['avision', 'gvision', 'azure', 'mangaocr']
def get_engine_name(engine):
engine_names = ['Apple Vision', 'Google Vision', 'Azure Computer Vision', 'Manga OCR']
return engine_names[engines.index(engine)]
from manga_ocr import *
def are_images_identical(img1, img2):
@@ -35,19 +25,12 @@ def are_images_identical(img1, img2):
return (img1.shape == img2.shape) and (img1 == img2).all()
def process_and_write_results(mocr, avision, gvision, azure, img_or_path, write_to, engine):
def process_and_write_results(engine_instance, engine_name, img_or_path, write_to):
t0 = time.time()
if engine == 'gvision':
text = gvision(img_or_path)
elif engine == 'avision':
text = avision(img_or_path)
elif engine == 'azure':
text = azure(img_or_path)
else:
text = mocr(img_or_path)
text = engine_instance(img_or_path)
t1 = time.time()
logger.opt(ansi=True).info(f"Text recognized in {t1 - t0:0.03f}s using <cyan>{get_engine_name(engine)}</cyan>: {text}")
logger.opt(ansi=True).info(f"Text recognized in {t1 - t0:0.03f}s using <cyan>{engine_name}</cyan>: {text}")
if write_to == 'clipboard':
pyperclip.copy(text)
@@ -81,7 +64,7 @@ def run(read_from='clipboard',
: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.
:param engine: OCR engine to use. Available: "mangaocr", "gvision", "avision", "azure".
:param engine: OCR engine to use. Available: "mangaocr", "gvision", "avision", "azure", "easyocr", "paddleocr".
:param verbose: If True, unhides all warnings.
"""
@@ -93,10 +76,20 @@ def run(read_from='clipboard',
}
logger.configure(**config)
mocr = MangaOcr(pretrained_model_name_or_path, force_cpu)
avision = AppleVision()
gvision = GoogleVision()
azure = AzureComputerVision()
avision = AppleVision()
mangaocr = MangaOcr(pretrained_model_name_or_path, force_cpu)
easyocr = EasyOCR()
paddleocr = PaddleOCR()
engines = ['avision', 'gvision', 'azure', 'mangaocr', 'easyocr', 'paddleocr']
engine_names = ['Apple Vision', 'Google Vision', 'Azure Computer Vision', 'Manga OCR', 'EasyOCR', 'PaddleOCR']
engine_instances = [avision, gvision, azure, mangaocr, easyocr, paddleocr]
engine_keys = 'agvmeo'
def get_engine_name(engine):
return engine_names[engines.index(engine)]
if engine not in engines:
msg = 'Unknown OCR engine!'
@@ -203,8 +196,8 @@ def run(read_from='clipboard',
engine = engines[engines.index(engine) + 1]
logger.opt(ansi=True).info(f"Switched to <cyan>{get_engine_name(engine)}</cyan>!")
elif user_input.lower() in 'agvm':
new_engine = engines['agvm'.find(user_input.lower())]
elif user_input.lower() in engine_keys:
new_engine = engines[engine_keys.find(user_input.lower())]
if engine != new_engine:
engine = new_engine
logger.opt(ansi=True).info(f"Switched to <cyan>{get_engine_name(engine)}</cyan>!")
@@ -228,7 +221,7 @@ def run(read_from='clipboard',
logger.warning('Error while reading from clipboard ({})'.format(error))
else:
if not just_unpaused and isinstance(img, Image.Image) and not are_images_identical(img, old_img):
process_and_write_results(mocr, avision, gvision, azure, img, write_to, engine)
process_and_write_results(engine_instances[engines.index(engine)], get_engine_name(engine), img, write_to)
if just_unpaused:
just_unpaused = False
@@ -244,7 +237,7 @@ def run(read_from='clipboard',
except (UnidentifiedImageError, OSError) as e:
logger.warning(f'Error while reading file {path}: {e}')
else:
process_and_write_results(mocr, avision, gvision, azure, img, write_to, engine)
process_and_write_results(engine_instances[engines.index(engine)], get_engine_name(engine), img, write_to)
time.sleep(delay_secs)