Cognitive face API Python 2.7.x - Bad Image Url - python-2.7

Question

Trying to run the following program to post the faces stored in a folder using ImageUrl but there exists an error.
The API I used is MS's Cognitive Face API v1.0
Please help
import sys
import os, time
import cognitive_face as CF
from global_variables import personGroupId
import urllib
import sqlite3
Key = '---some key----' #I removed the key her for some security Purpose
CF.Key.set(Key)
def get_person_id():
person_id = ''
extractId = str(sys.argv[1])[-2:]
connect = sqlite3.connect("Face-DataBase")
c = connect.cursor()
cmd = "SELECT * FROM Students WHERE ID = " + extractId
c.execute(cmd)
row = c.fetchone()
person_id = row[3]
connect.close()
return person_id
if len(sys.argv) is not 1:
currentDir = os.path.dirname(os.path.abspath(os.path.realpath(__file__)))
imageFolder = os.path.join(currentDir, "dataset/" + str(sys.argv[1]))
person_id = get_person_id()
for filename in os.listdir(imageFolder):
if filename.endswith(".jpg"):
print(filename)
imgurl = urllib.request.pathname2url(os.path.join(imageFolder, filename))
res = CF.face.detect(imgurl)
if len(res) != 1:
print ("No face detected in image")
else:
res = CF.person.add_face(imgurl, personGroupId, person_id)
print(res)
time.sleep(6)
The error I got is a Invalid Image Url with Status Code '400'
User.22.1.jpg
Traceback (most recent call last):
File "add_person_faces.py", line 31, in <module>
res = CF.face.detect(imgurl)
File "C:\Users\Avina\Anaconda3\envs\virtual_platform\lib\site-packages\cognitive_face\face.py", line 41, in detect
data=data)
File "C:\Users\Avina\Anaconda3\envs\virtual_platform\lib\site-packages\cognitive_face\util.py", line 102, in request
error_msg.get('message'))
cognitive_face.util.CognitiveFaceException: Error when calling Cognitive Face API:
status_code: 400
code: InvalidURL
message: Invalid image URL.

Answer 1

You'll have to send a public url or send the image in binary format for the API to be able to access it.
Here is how you read the image:
try:
with open('mypic.jpg', 'rb') as image:
img = image.read()
face_to_detect = bytearray(img)
print("image reading done!")
except Exception as ex:
print("exception in reading image bytes {0}".format(ex.args))
has_exception = True
And then post it:
result = cf.face.detect(face_to_detect)