def kairos(crop, cuantos):
cv2.imwrite("faces/{}.jpg".format(unique_filename), crop)
cv2.imwrite("faces/face.jpg".format(unique_filename), crop)
recognized_faces = kairos_face.detect_face(file="faces/face.jpg")
if recognized_faces != "Error":
edad = recognized_faces['images'][0]['faces'][0]['attributes']['age']
sexo = recognized_faces['images'][0]['faces'][0]['attributes'][
'gender']['type']
if sexo == 'M':
sexo = "HOMBRE"
else:
sexo = "MUJER"
print("edad: {}, sexo: {}".format(edad, sexo))
now = datetime.datetime.now()
img = cv2.imread('p3.png', 1)
font = cv2.FONT_HERSHEY_DUPLEX
hora = str(now.hour) + ":" + str(now.minute)
age = str(edad)
cv2.putText(img, hora, (950, 510), font, 1.7, (0, 0, 255), 2)
cv2.putText(img, sexo, (680, 583), font, 1.7, (0, 0, 255), 2)
cv2.putText(img, age, (870, 663), font, 1.7, (0, 0, 255), 2)
s_img = cv2.imread("faces/face.jpg")
s_img2 = cv2.resize(s_img, (int(443), int(590)))
cv2.imwrite("faces/face2.jpg", s_img2)
s_img3 = cv2.imread("faces/face2.jpg")
cv2.imwrite("faces/face2.jpg", s_img2)
x_offset = 0
y_offset = 210
img[y_offset:y_offset + 590, x_offset:x_offset + 443] = s_img3
cv2.imwrite("faces/anuncio.jpg", img)
from subprocess import call
def detect_face_fn(img_path):
# detected_face = kf.detect_face(file=img_path, gallery_name='members')
detected_face = kf.detect_face(file=img_path)
# print(detected_face)
print(detected_face['images'][0]['status'])
# kairos
current_index = -1
with open('eyes.csv', 'w') as csvfile:
spamwriter = csv.writer(csvfile,
delimiter=',',
quotechar='|',
quoting=csv.QUOTE_MINIMAL)
for index in o.ret:
if (current_index == index[0]):
continue
has_face = True
try:
print("Send frame %d to Kairos" % index[0])
recognized_faces = kairos_face.detect_face(file="frame" +
str(index[0]) + ".jpg")
except kairos_face.exceptions.ServiceRequestError:
has_face = False
if (has_face):
print("Calculate on frame %d" % index[0])
r_Y = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'rightEyeCenterY')
r_X = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'rightEyeCenterX')
l_Y = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'leftEyeCenterY')
l_X = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'leftEyeCenterX')
dist = dist_two_points(r_X, l_X, r_Y, l_Y)
ratio = float(sys.argv[3]) / dist
def detect_faces(url):
try:
faces = kairos_face.detect_face(url=url)
except Exception, e:
print str(e)
return None
import kairos_face as kf
kf.settings.app_id = 'ypur app id'
kf.settings.app_key = 'your app key'
# galleries_list=kf.get_galleries_names_list()
#
# print(galleries_list)
#
# gallery_sub=kf.get_gallery('a-gallery')
#
# print(gallery_sub)
recognized_faces = kf.detect_face(file='harry-meghan-15.jpg')
detected_faces = kf.recognize_face(file='harry-meghan-15.jpg',
gallery_name='a-gallery')
def recognize(request):
try:
cur = connection.cursor()
logging.info('DB connected')
except:
logging.info('Db connection error')
kairos_face.settings.app_id = 'Your App ID'
kairos_face.settings.app_key = 'Your App key'
if request.method == 'POST':
#POST goes here . is_ajax is must to capture ajax requests.
if request.is_ajax():
gallery = request.POST.get('gallery')
image = request.POST.get('image')
try:
recognized_faces = kairos_face.recognize_face(
file=image, gallery_name=gallery)
uname = recognized_faces['images'][0]['candidates'][0][
'subject_id']
result = 'success'
except:
result = 'error'
uname = ''
if result == 'success':
cur.execute(''' select * from cv where uname=%s''', (uname, ))
res = cur.fetchall()
newlist = [ele for ele in res[0]]
email = str(newlist[1])
designation = str(newlist[3])
team = str(newlist[4])
qresult = 'success'
else:
qresult = 'error'
email = ''
designation = ''
team = ''
detected_faces = kairos_face.detect_face(file=image)
gen = detected_faces['images'][0]['faces'][0]['attributes'][
'gender']['type']
age = detected_faces['images'][0]['faces'][0]['attributes']['age']
gender = ''
if gen == 'M':
gender = 'Male'
else:
gender = 'Female'
data = {
'uname': uname,
'email': email,
'designation': designation,
'team': team,
'result': result,
'qresult': qresult,
'gender': gender,
'age': age
}
return JsonResponse(data)
return render(request, 'recognize.html')
elif op == "2":
'''url = "https://api.kairos.com/detect"
headers = {
"app_id": "2b0335d7",
"app_key": "28e7a2915e876413a7f33b2eccd06a62"
}
# Detect from a file
files= {'image':open(location,'rb')}
r = requests.post(url, files=files, headers=headers)
print(r.text)'''
# Detect from a file
detected_faces = kairos_face.detect_face(file=location)
print(detected_faces)
# for recognizing image
elif op == "3":
# Recognizing from a file
recognized_faces = kairos_face.recognize_face(file=location,
gallery_name='Demo')
print(recognized_faces)
#load and read string type data from json file
#data = json.loads(recognized_faces)
# read dictionary type data into str type data
# now data is in the form of string so can apply .loads() method to it
data = json.dumps(recognized_faces)
def detect(image_name):
# Detect from a file
recognized_faces = kairos_face.detect_face(file=image_name,
gallery_name='student')
print(recognized_faces)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(DEST_FILE, fourcc, 20.0, (height, width))
cnt = 0
while (cap.isOpened()):
ret, frame = cap.read()
if ret == True:
cv2.imwrite("frame_tmp.jpg", frame)
has_face = True
try:
print("Send frame %d to Kairos" % cnt)
recognized_faces = kairos_face.detect_face(file="frame_tmp.jpg")
except kairos_face.exceptions.ServiceRequestError:
has_face = False
if (has_face):
print("Calculate on frame %d" % cnt)
r_Y = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'rightEyeCenterY')
r_X = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'rightEyeCenterX')
l_Y = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'leftEyeCenterY')
l_X = recognized_faces.get(u'images')[0].get(u'faces')[0].get(
u'leftEyeCenterX')
def detect(facePhoto=None):
try:
dict_responJSON = kairos_face.detect_face(file=facePhoto)
except Exception, err:
dict_responJSON = None
import kairos_face as kf
# setting up keys
kf.settings.app_id = "a123a233"
kf.settings.app_key = "03a5065270150ba0e23a0584ae716b0d"
file_path = input("Image URL")
#enrolling new face
kf.enroll_face(file=file_path, subject_id='s1', gallery_name="test")
#detect face
print(kf.detect_face(file=file_path, gallery_name="test"))
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(DEST_FILE, fourcc, 20.0, (height, width))
cnt = 0
while(cap.isOpened()):
ret, frame = cap.read()
if ret == True:
cv2.imwrite("frame_tmp.jpg", frame)
has_face = True
try:
print ("Send frame %d to Kairos" % cnt)
recognized_faces = kairos_face.detect_face(file="frame_tmp.jpg")
except kairos_face.exceptions.ServiceRequestError:
has_face = False
if (has_face):
print ("Calculate on frame %d" % cnt)
r_Y = recognized_faces.get(u'images')[0].get(u'faces')[0].get(u'rightEyeCenterY')
r_X = recognized_faces.get(u'images')[0].get(u'faces')[0].get(u'rightEyeCenterX')
l_Y = recognized_faces.get(u'images')[0].get(u'faces')[0].get(u'leftEyeCenterY')
l_X = recognized_faces.get(u'images')[0].get(u'faces')[0].get(u'leftEyeCenterX')
cv2.circle(frame, (r_X, r_Y), 3, (0, 0, 255), -1)
cv2.circle(frame, (l_X, l_Y), 3, (0, 0, 255), -1)
# write the flipped frame