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# pdfs 下的识别结果转成 ocr 的格试 image/md5.txt json/md5.json ， 拷贝到这里 hubggingface/project/ocr/ocrServer/data ，就不用重新识别了
# see huggingface/project/ocr/tools/flask_auto_selection.py
import numpy as np
import cv2
import json
import base64
import os
import shutil
import hashlib
import glob
import re
def md5(fname):
hash_md5 = hashlib.md5()
with open(fname, "rb") as f:
for chunk in iter(lambda: f.read(4096), b""):
hash_md5.update(chunk)
return hash_md5.hexdigest()
if __name__ == '__main__':
dir_book = 'pdfs/jp/徐一平日本语句型辞典'
dir = 'data'
if os.path.exists(dir):
shutil.rmtree(dir)
os.makedirs(os.path.join(dir, 'img'))
os.makedirs(os.path.join(dir, 'json'))
os.makedirs(os.path.join(dir, os.path.basename(dir_book)))
pths = glob.glob(dir_book + '/*.jpg', recursive=False)
pths = sorted(pths, key=lambda p:(
match := re.findall(r'.+?(\d+)\.jpg', p),
number := int(match[0]),
number # 如果第一项相等就会比较第二项
))
for idx, pth in enumerate(pths):
m5 = md5(pth)
p_j = pth.replace('.jpg', '.json')
if not os.path.exists(p_j):
raise Exception(f'##### error: json not found. {p_j}')
imgData = np.fromfile(pth, dtype=np.uint8)
img = cv2.imdecode(imgData, cv2.IMREAD_UNCHANGED)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 把img 对象编码为jpg 格式
success, encoded_image = cv2.imencode(".jpg", img)
img_bytes = encoded_image.tobytes()
base64_str = base64.b64encode(img_bytes).decode('ascii')
img_bytes_restored = base64.b64decode(base64_str)
imgdata_restored = np.frombuffer(img_bytes_restored, dtype=np.uint8) # .reshape(img.shape)
img_restored = cv2.imdecode(imgdata_restored, cv2.IMREAD_UNCHANGED)
pth_img = os.path.join(dir, 'img/{}.txt'.format(m5))
pth_json = os.path.join(dir, 'json/{}.json'.format(m5))
pth_book = os.path.join(dir, os.path.basename(dir_book))
with open(pth_img, 'w', encoding='utf-8') as f:
f.write(base64_str)
dest = shutil.copy(p_j, pth_json)
dest = shutil.copy(pth, pth_book)
if not os.path.exists(pth_img): # 没有相应的图片，可能被删除了
# raise Exception(f'Warnnig: no image {pth_img}')
print( f'Warnnig: no image {pth_img}' )
pass
if not os.path.exists(pth_json):
# raise Exception(f'Warnnig: no image {pth_json}')
pass
# with open(pth_img, "r", encoding="utf-8") as fp:
# imgdata = fp.read()
# imgdata = base64.b64decode(imgdata)
# imgdata = np.frombuffer(imgdata, np.uint8)
# img = cv2.imdecode(imgdata, cv2.IMREAD_UNCHANGED)
# cv2.imshow('img', img)
# cv2.waitKey(0)
print( f'one task done. {idx+1} / {len(pths)}' )
break
print( 'all task done.' )
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