def find_images(images, num_images): #save_directory,
facepp = FacePP(api_key='prYP6L8GFA06ycwOYdRGpOowEOLWrhr5',
api_secret='aCrsKLu_tnC-3srCI4B2ID6NrXhV1WA_',
url='https://api-us.faceplusplus.com')
genderDic = {}
ethnicityDic = collections.Counter()
genderDic["Male"] = 0
genderDic["Female"] = 0
print("analyzing pictures")
for i, (url, image_type) in enumerate(images):
print("Next image!")
print("Url: " + url)
try:
image = facepp.image.get(image_url=url,
return_attributes=['gender'])
print("True value: " + image.faces[0].gender['value'])
if (image.faces[0].gender['value'] == "Male"):
print("Stored male")
genderDic["Male"] += 1
elif (image.faces[0].gender['value'] == "Female"):
print("Stored female")
genderDic["Female"] += 1
ethnicityDic[image.faces[0].ethnicity['value']] += 1
except Exception as e:
logger.exception(e)
updateSheets(genderDic, ethnicityDic)
def main():
facepp = FacePP(api_key='prYP6L8GFA06ycwOYdRGpOowEOLWrhr5',
api_secret='aCrsKLu_tnC-3srCI4B2ID6NrXhV1WA_',
url='https://api-us.faceplusplus.com')
parser = argparse.ArgumentParser()
parser.add_argument('-s', '--search', default='JohnSmith', type=str)
parser.add_argument('-n', '--num_images', default=1, type=int)
args = parser.parse_args()
run_program(args.search, args.num_images)
from facepplib import FacePP
facepp = FacePP(api_key='CD6RZlJuI8PostJBrrnkvGngb-gnSJbs',
api_secret='lHp0GrPsZvxMHdgYUtEiAExZ_JFPKia4')
url = 'https://api-us.faceplusplus.com/facepp/v3/detect'
image_url = 'https://www.faceplusplus.com/scripts/demoScript/images/demo-pic6.jpg'
image = facepp.image.get(image_url=image_url,
return_attributes=['smiling', 'age'])
print(image.image_id)
# define global variables
face_detection = ""
faceset_initialize = ""
face_search = ""
face_landmarks = ""
dense_facial_landmarks = ""
face_attributes = ""
beauty_score_and_emotion_recognition = ""
#####
api_key = 'xQLsTmMyqp1L2MIt7M3l0h-cQiy0Dwhl'
api_secret = 'TyBSGw8NBEP9Tbhv_JbQM18mIlorY6-D'
# create a logo of app by using iteration,
# unicode and emoji module-------------
# call api
app_ = FacePP(api_key=api_key, api_secret=api_secret)
funcs = [
face_detection,
#face_comparing_localphoto,
#face_comparing_websitephoto,
faceset_initialize,
face_search,
face_landmarks,
dense_facial_landmarks,
face_attributes,
beauty_score_and_emotion_recognition
]
# define transfer function for transfer images to ftp server
def transfer(frame):
from facepplib import FacePP
import os
import sys, traceback
import csv
from datetime import datetime
import inspect
import boto3
API_KEY = '<Insert-API-Key-here>'
API_SECRET_KEY = '<Insert-API-Secret-Key-here>'
BUCKET_NAME = '<Insert-S3-bucket-name-here>'
S3_URL = "https://<Insert-S3-bucket-name-here>.s3.eu-west-2.amazonaws.com/"
facepp = FacePP(api_key=API_KEY, api_secret=API_SECRET_KEY)
def collect_urls():
image_urls = []
s3 = boto3.resource('s3')
nimstim_bucket = s3.Bucket(BUCKET_NAME)
for file in nimstim_bucket.objects.all():
image_urls.append(S3_URL + file.key)
return image_urls
def log_output(image_url, content):
content = str(content)
name = get_file_name(image_url).split(".")[0]
print("The name is " + name)
name = "face++_logs/[{}] {}.txt".format(datetime.now(), name)
print(name)
from database import mydatabase
from facepplib import FacePP
import threading, time
import math
dbms = mydatabase.MyDatabase(mydatabase.SQLITE, dbname='mydb.sqlite')
# dbms.create_db_tables()
facepp = FacePP(api_key='g06BZoz_VFEJxvzaLPTlQI-ZsbhCbRbU',
api_secret='EHoHJiGyJn-IoeHNBMGNlUFBKhoLmyci')
def get_face_Images():
lop = math.ceil(3635 / 2)
x = 1
counter = 1
for i in range(lop):
# ----
query = "SELECT * from imagelist where id Between {} and {};".format(
x, counter * 2)
x = counter * 2 + 1
counter = counter + 1
imageList = dbms.get_all_data('', query)
# imageList = dbms.get_all_data('imagelist','')
# print(imageList)
for img in imageList:
# print(image)
image = facepp.image.get(image_file=img[1],
return_attributes=[
'gender', 'smiling', 'age', 'emotion',
def imageUpload(request):
if request.method == "POST":
# Get files
image = request.FILES['image']
# Save file
file_name = default_storage.save("Users\\DPS\\" + image.name, image)
# Openning file process
filey = default_storage.open(file_name)
current_path = os.path.dirname(__file__)
relative_path = path.uploadedImage() + str(image.name)
abs_path = os.path.join(current_path, relative_path)
# Opening image from the absolute path
image_data = open(abs_path, "rb")
# Converting image to base64 string
converted_string = "data:image/jpeg;base64, " + str(
base64.b64encode(image_data.read()).decode('utf-8'))
# Absolute path for checking image
relative_path = path.avgImgCheckPath()
absolute_path_check = os.path.join(current_path, relative_path)
vals = list()
characters = cl.checkListAvengers(absolute_path_check)
for character in characters:
# Absolute path for showing image
relative_path = path.avgImgShowPath() + str(character[1])
absolute_path_show = os.path.join(current_path, relative_path)
new_image = open(absolute_path_show, "rb")
app_ = FacePP(api_key=sc.getAPIKey(), api_secret=sc.getAPISecret())
image1 = "https://media.geeksforgeeks.org/wp-content/uploads/20200216230843/img45.jpg"
image2 = 'https://media.geeksforgeeks.org/wp-content/uploads/20200216224036/img210.jpg'
vals.append(cp.face_comparing(app_, image1, image2))
vals = json.dumps(vals)
return HttpResponse(str(vals))
else:
print("Smething went wrong")
return HttpResponse("Something went wrong")
# app_ = FacePP(api_key = api_key,
# api_secret = api_secret)
# funcs = [
# face_detection,
# face_comparing_localphoto,
# face_comparing_websitephoto,
# faceset_initialize,
# face_search,
# face_landmarks,
# dense_facial_landmarks,
# face_attributes,
# beauty_score_and_emotion_recognition
# ]
# # Pair 1
# image1 = 'Image 1 link'
# image2 = 'Image 2 link'
# face_comparing(app_, image1, image2)