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add_person_faces.py
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add_person_faces.py
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import sys
import os, time
import cognitive_face as CF
import global_variables as global_var
import urllib
import sqlite3
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
Key = global_var.key
CF.Key.set(Key)
BASE_URL = global_var.BASE_URL
CF.BaseUrl.set(BASE_URL)
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(__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))
imgurl = imgurl[3:]
print("imageurl = {}".format(imgurl))
res = CF.face.detect(imgurl)
if len(res) != 1:
print("No face detected in image")
else:
res = CF.person.add_face(imgurl, global_var.personGroupId, person_id)
print(res)
time.sleep(6)
else:
print("supply attributes please from dataset folder")