def mask():
ac = Aadhaar_Card(config);
flag_mask = 0
requestid=uuid.uuid4();
temp_name = "input/"+str(requestid)+".png"
r = request.get_json(force=True) #force=True #content type application/json
#temp_name = "temp_unmasked.png"
image = r['doc_b64'] # raw data with base64 encoding
decoded_data = base64.b64decode(image)
np_data = np.fromstring(decoded_data,np.uint8)
img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED)
cv2.imwrite(temp_name,img)
write = "temp_masked.png"
flag_mask = ac.mask_image(temp_name, write, r['aadhaar'])
delete_file(temp_name)
content_type = 'application/json'
headers = {'content-type': content_type}
if flag_mask == 0:
return Response(response=jsonpickle.encode({'doc_b64_masked':'None', 'is_masked': False}), status=200, mimetype="application/json", headers=headers)
else:
img_bytes = to_image_string(write)
delete_file(write)
#convert byte to string
encoded_string = img_bytes.decode("utf-8")
return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True}), status=200, mimetype="application/json", headers=headers)
def sample_pipe():
ac = Aadhaar_Card(config);
flag_mask = 0
r = request.get_json(force=True) #force=True #content type application/json
requestid=uuid.uuid4();
temp_name = "temp/"+str(requestid)+".png"
image = r['doc_b64'] # raw data with base64 encoding
decoded_data = base64.b64decode(image)
np_data = np.fromstring(decoded_data,np.uint8)
img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED)
cv2.imwrite(temp_name,img)
aadhaar_list = ac.extract(temp_name)
content_type = 'application/json'
headers = {'content-type': content_type}
if len(aadhaar_list) == 0 and r['brut']:
mode_executed = "BRUT-OCR-MASKING"
write = "temp/"+"temp_"+str(requestid)+".png"
mask_status = ac.mask_nums(temp_name, write)
delete_file(temp_name)
img_bytes = to_image_string(write)
delete_file(write)
#convert byte to string
encoded_string = img_bytes.decode("utf-8")
return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True,'mode_executed' : mode_executed}), status=200, mimetype="application/json", headers=headers)
if len(aadhaar_list) == 0 and not r['brut']:
mode_executed = "OCR-MASKING"
return Response(response=jsonpickle.encode({'doc_b64_masked':'None', 'is_masked': False, 'error':'Unable to find aadhaar number','mode_executed' : mode_executed}), status=200, mimetype="application/json", headers=headers)
if len(aadhaar_list) > 0 :
mode_executed = "OCR-MASKING"
# for masking first 8 digits from the number
ori_aadhaar_list = aadhaar_list
aadhaar_list = list(map(lambda x: x[:8] , aadhaar_list)) # Comment out this incase you want to mask entire aadhaar
write = "temp/temp_masked"+str(requestid)+".png"
flag_mask = ac.mask_image(temp_name, write, aadhaar_list)
delete_file(temp_name)
img_bytes = to_image_string(write)
delete_file(write)
#convert byte to string
encoded_string = img_bytes.decode("utf-8")
valid_aadhaar_list = list(filter(lambda x: (ac.validate(x) == 1) , ori_aadhaar_list))
return Response(response=jsonpickle.encode({'doc_b64_masked':encoded_string, 'is_masked': True,'mode_executed' : mode_executed, 'aadhaar_list':ori_aadhaar_list, 'valid_aadhaar_list':valid_aadhaar_list}), status=200, mimetype="application/json", headers=headers)