def extract_file(filename):
logger = "siddhesh"
comp = User.objects.get(username=logger)
comp = comp.company_name.company_name
# print ("---------------------------------------"+comp.dtype+"----------------------------------------")
raw = parser.from_file("templates\\Upload\\" + filename)
print(raw['content'])
nlp(raw['content'], comp, filename)
def extract_image_file(filename):
# file = request.FILES['document']
logger = "siddhesh"
comp = User.objects.get(username=logger)
comp = comp.company_name.company_name
finalpath = "templates\\Upload\\" + filename
image = cv2.imread(finalpath)
if image is not None:
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
cv2.THRESH_BINARY, 23, 10)
gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
filename1 = "{}.png".format(os.getpid())
cv2.imwrite(filename1, gray)
text = pytesseract.image_to_string(Image.open(filename1), lang="eng")
print(text)
nlp(text, comp, filename)
def extract_zip(name, request):
logger = request.user
comp = logger.company_name.company_name
print(name)
finalpath = "templates\\Media\\" + name
print(finalpath)
raw = parser.from_file(finalpath)
print(raw['content'])
return nlp(raw['content'], comp, name)
def extract(name, request):
logger = request.user
comp = logger.company_name.company_name
file = request.FILES['document'].name
name = str(file)
finalpath = "templates\\Media\\" + name
print(finalpath)
'''
pdf = PyPDF2.PdfFileReader(file)
text = ''
for page in pdf.pages:
text = page.extractText()
'''
raw = parser.from_file(finalpath)
print(raw['content'])
return nlp(raw['content'], comp, name)
def extract_image_zip(name, request):
logger = request.user
comp = logger.company_name.company_name
finalpath = "templates\\Media\\" + name
image = cv2.imread(finalpath)
#image = cv2.resize(image, None, fx=1, fy=1, interpolation=cv2.INTER_CUBIC)
if image is not None:
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
cv2.THRESH_BINARY, 23, 10)
gray = cv2.threshold(gray, 0, 255,
cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
filename = "{}.png".format(os.getpid())
cv2.imwrite(filename, gray)
text = pytesseract.image_to_string(Image.open(filename), lang="eng")
os.remove(filename)
print(text)
return nlp(text, comp, name)