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VideoSubFinder OCR using Google Cloud
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import os | |
import re | |
import sys | |
import logging | |
from io import StringIO | |
from concurrent import futures | |
from google.cloud import vision | |
IMAGE_EXT = ('.jpg', '.jpeg', '.png') | |
logging.basicConfig(level=logging.INFO) | |
def concurrentMap(fn, *args, timeout=None, max_workers=None): | |
with futures.ThreadPoolExecutor(max_workers=max_workers) as executor: | |
return tuple(executor.map(fn, *args, timeout=timeout)) | |
def detect_text(path: str) -> str: | |
"""Detects text in the file.""" | |
with open(path, 'rb') as image_file: | |
content = image_file.read() | |
image = vision.Image(content=content) | |
client = vision.ImageAnnotatorClient() | |
response = client.text_detection(image=image) | |
if response.error.message: | |
raise Exception( | |
'{}\nFor more info on error messages, check: ' | |
'https://cloud.google.com/apis/design/errors'.format( | |
response.error.message)) | |
return response.full_text_annotation.text | |
def detect(path: str): | |
if os.path.isdir(path): | |
logging.info('Ignore directory: {}'.format(path)) | |
return | |
ext = os.path.splitext(path)[-1] | |
if ext not in IMAGE_EXT: | |
logging.info('Ignore non-image file: {}'.format(path)) | |
return | |
filename = os.path.splitext(path)[0]+'.txt' | |
if os.path.exists(filename): | |
logging.info('Ignore detected image: {}'.format(path)) | |
return | |
text = detect_text(path) | |
logging.info('Detect image: {}: {}'.format(path, repr(text))) | |
# save text to file | |
with open(filename, 'w', encoding='utf-8') as f: | |
f.write(text) | |
def create_srt(filename: str, image_dir: str): | |
r = re.compile( | |
r'^(\d)_(\d\d)_(\d\d)_(\d\d\d)__(\d)_(\d\d)_(\d\d)_(\d\d\d)_\d+\.txt$') | |
files = [i for i in os.listdir(image_dir) if r.match(i)] | |
files.sort() | |
with StringIO() as s: | |
for i, f in enumerate(files): | |
result = r.findall(f)[0] | |
with open(os.path.join(image_dir, f), encoding='utf-8') as fp: | |
content = fp.read() | |
s.write('''{} | |
{}:{}:{},{} --> {}:{}:{},{} | |
{} | |
'''.format(i+1, *result, content)) | |
srt_file = os.path.join(image_dir, filename) | |
if os.path.exists(srt_file): | |
logging.info('SRT file exists') | |
return | |
with open(srt_file, 'w', encoding='utf-8') as fp: | |
fp.write(s.getvalue()) | |
logging.info('Create srt file: {}'.format(filename)) | |
def main(): | |
if len(sys.argv) != 2: | |
print('Usage: python3 {} <image_dir>'.format(os.path.basename(__file__))) | |
sys.exit(1) | |
image_dir = sys.argv[1] | |
items = os.listdir(image_dir) | |
items.sort() | |
_ = concurrentMap(detect, [os.path.join(image_dir, i) | |
for i in items], max_workers=2) | |
# create_srt('123.srt', image_dir) | |
if __name__ == '__main__': | |
try: | |
main() | |
except KeyboardInterrupt: | |
sys.exit(0) |
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