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labelText.py
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import cv2
import os
import pandas as pd
from shutil import copyfile
s1 = u'ÀÁÂÃÈÉÊÌÍÒÓÔÕÙÚÝàáâãèéêìíòóôõùúýĂăĐđĨĩŨũƠơƯưẠạẢảẤấẦầẨẩẪẫẬậẮắẰằẲẳẴẵẶặẸẹẺẻẼẽẾếỀềỂểỄễỆệỈỉỊịỌọỎỏỐốỒồỔổỖỗỘộỚớỜờỞởỠỡỢợỤụỦủỨứỪừỬửỮữỰựỲỳỴỵỶỷỸỹ'
s0 = u'AAAAEEEIIOOOOUUYaaaaeeeiioooouuyAaDdIiUuOoUuAaAaAaAaAaAaAaAaAaAaAaAaEeEeEeEeEeEeEeEeIiIiOoOoOoOoOoOoOoOoOoOoOoOoUuUuUuUuUuUuUuYyYyYyYy'
def remove_accents(input_str):
s = ''
for c in input_str:
if c in s1:
s += s0[s1.index(c)]
else:
s += c
return s
bill_code_path = 'transformed/bill_code'
market_name_path = 'transformed/market_name'
date_path = 'transformed/date'
file_name = 'Template_OCR BILL COOP 2_251220.xlsx'
file_name_25 = 'ORC_TEMPLATE01_total.xlsx'
path_grouth_truth = 'transformed/images'
df = pd.read_excel(file_name, sheet_name='FULL',skiprows=1)
df = df.iloc[:,1:5]
df.dropna(inplace=True)
df_25 = pd.read_excel(file_name_25, sheet_name='Template', skiprows=1,dtype=str)
df_25 = df_25.iloc[:,1:5]
df_25["Date"] = pd.to_datetime(df_25["Date"])
df_25.dropna(inplace=True)
imagesName = []
imagesName_25 = []
for image in os.listdir(market_name_path):
condition_1 = 'txt' not in image and '_25_12' not in image[:-11]
condition_2 = 'txt' not in image and '_25_12' in image[:-11]
if condition_1:
imagesName.append(image)
if condition_2:
imagesName_25.append(image)
print(imagesName)
print(imagesName_25)
i = 1
t = 1
name_old = df.iloc[0,0]
for index, row in df.iterrows():
market_name = row['Market Name']
image_name = f'{str(row["Image Name"]).lower()}_padded.jpg'
date = f'Ngay: {row["Date"].day}/{row["Date"].month}/{row["Date"].year}'
bill_code = f'So HD: {row["Bill Code"]}'
if image_name != name_old:
if image_name in imagesName:
with open(os.path.join(path_grouth_truth,f'{image_name[:-4]}_market_name_{i}.gt.txt'),'w+') as f:
src = os.path.join(market_name_path,image_name)
dst = os.path.join(path_grouth_truth,f'{image_name[:-4]}_market_name_{i}.jpg')
try:
# do something
copyfile(src, dst)
market_name = remove_accents(market_name)
f.write(market_name)
except FileNotFoundError:
# handle ValueError exception
pass
with open(os.path.join(path_grouth_truth,f'{image_name[:-4]}_bill_code_{i}.gt.txt'),'w+') as f:
src = os.path.join(bill_code_path,image_name)
dst = os.path.join(path_grouth_truth,f'{image_name[:-4]}_bill_code_{i}.jpg')
try:
# do something
copyfile(src, dst)
f.write(bill_code)
except FileNotFoundError:
# handle ValueError exception
pass
with open(os.path.join(path_grouth_truth,f'{image_name[:-4]}_date_{i}.gt.txt'),'w+') as f:
src = os.path.join(date_path,image_name)
dst = os.path.join(path_grouth_truth,f'{image_name[:-4]}_date_{i}.jpg')
try:
# do something
copyfile(src, dst)
f.write(date)
except FileNotFoundError:
# handle ValueError exception
pass
i+=1
name_old = image_name
name_old = df_25.iloc[0,0]
for index, row in df_25.iterrows():
market_name = row['Market Name']
image_name = f'{str(row["Image Name"]).lower()}_25_12_padded.jpg'
date = f'Ngay: {row["Date"].month}/{row["Date"].day}/{row["Date"].year}'
bill_code = f'So HD: {row["Bill Code"]}'
if image_name != name_old:
if image_name in imagesName_25:
with open(os.path.join(path_grouth_truth,f'{image_name[:-4]}_market_name_{i}.gt.txt'),'w+') as f:
src = os.path.join(market_name_path,image_name)
dst = os.path.join(path_grouth_truth,f'{image_name[:-4]}_market_name_{i}.jpg')
copyfile(src, dst)
market_name = remove_accents(market_name)
f.write(market_name)
with open(os.path.join(path_grouth_truth,f'{image_name[:-4]}_bill_code_{i}.gt.txt'),'w+') as f:
src = os.path.join(bill_code_path,image_name)
dst = os.path.join(path_grouth_truth,f'{image_name[:-4]}_bill_code_{i}.jpg')
copyfile(src, dst)
f.write(bill_code)
with open(os.path.join(path_grouth_truth,f'{image_name[:-4]}_date_{i}.gt.txt'),'w+') as f:
src = os.path.join(date_path,image_name)
dst = os.path.join(path_grouth_truth,f'{image_name[:-4]}_date_{i}.jpg')
copyfile(src, dst)
f.write(date)
i+=1
name_old = image_name
# for index, row in df.iterrows():
# market_name = row['Market Name']
# image_name = f'{str(row["Image Name"]).lower()}_padded.jpg'
# date = f'Ngay: {row["Date"].day}/{row["Date"].month}/{row["Date"].year}'
# bill_code = f'So HD: {row["Bill Code"]}'
# if image_name in imagesName:
# with open(os.path.join(path_grouth_truth,f'{image_name[:-4]}.gt.txt'),'w+') as f:
# market_name = remove_accents(market_name)
# f.write(market_name)
# with open(os.path.join(bill_code_path,f'{image_name[:-4]}.gt.txt'),'w+') as f:
# f.write(bill_code)
# with open(os.path.join(date_path,f'{image_name[:-4]}.gt.txt'),'w+') as f:
# f.write(date)
# for index, row in df_25.iterrows():
# market_name = row['Market Name']
# image_name = f'{str(row["Image Name"]).lower()}_25_12_padded.jpg'
# date = f'Ngay: {row["Date"].day}/{row["Date"].month}/{row["Date"].year}'
# bill_code = f'So HD: {row["Bill Code"]}'
# if image_name in imagesName_25:
# with open(os.path.join(market_name_path,f'{image_name[:-4]}.gt.txt'),'w+') as f:
# market_name = remove_accents(market_name)
# f.write(market_name)
# with open(os.path.join(bill_code_path,f'{image_name[:-4]}.gt.txt'),'w+') as f:
# f.write(bill_code)
# with open(os.path.join(date_path,f'{image_name[:-4]}.gt.txt'),'w+') as f:
# f.write(date)