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from fastapi import FastAPI
from fastapi import FastAPI, File, UploadFile
from app.extract_country.country_dictionary import find_country
from app.extract_dates.date_engine import date_extractor
from app.extract_gender.gender_extractor import gender_extract
from app.extract_identity_number.doc_number_extractor import doc_number
from app.ocr_engine.ocr import OCR
from paddleocr import PaddleOCR
from app.layoutLM_api.api import custom_ocr
app = FastAPI()
origins = ["*"]
@app.post('/extract_info')
async def ocr(Id_card: UploadFile = File(...)):
ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to download and load model into memory
file_path = 'app/images/idcards/input.jpg'
with open(file_path, "wb+") as file_object:
file_object.write(Id_card.file.read())
card_type = "passport"
dictionary = custom_ocr(file_path, card_type)
if '' in list(dictionary.values()):
print("Missing value found in Dic")
extract_text = []
result = ocr.ocr(file_path, cls=True)
extract_text = [line[1][0] for res in result for line in res]
print("extract_text", extract_text)
if len(dictionary['gender']) == 0:
print("Gender Missing")
gender_found, gender, ocr_list = gender_extract(extract_text)
dictionary["gender"] = gender if gender_found else None
if len(dictionary['dob']) == 0:
print("Dob Missing")
dob_found, dob, ocr_list = date_extractor(extract_text)
dictionary["dob"] = dob if dob_found else None
if len(dictionary['country']) == 0:
print("Country Missing")
country_found, country, ocr_list = find_country(extract_text)
dictionary["country"] = country if country_found else None
if len(dictionary['document_number']) == 0:
print("document Number missing")
document_number_found, document_number, ocr_list = doc_number(extract_text)
dictionary["document_number"] = document_number if document_number_found else None
print("Updated Dict ",dictionary)
response = {"Status" : 200, "OCR" : dictionary}
return response |