from fbrecog import recognize import sys path = sys.argv[1] #Insert your image file path here access_token = 'EAAaOIWWM4C4BALpixGyrF2UzPasQmYoe8Ly2NTnsLdzRbFZC1leZBUNwInnVXvV6odk3hjbEUIdKYIxhRGCBSqI4Qao1wDhXCI8ZCHqwXKBa1MxMoJ0LR8ndCGUm1G5nh5hqBMMGDAf9EDDhzFZBORCGveZAgMjgZD' #Insert your access token obtained from Graph API explorer here cookie = 'datr=3-bWVOfBNWzm6NYtXtDN0YR0; sb=1c5UV2INLVvsYmBRDS8Yog-O; pl=y; lu=ThRlvehXI3blt_vytPU5HZTw; c_user=1153095388; xs=38%3ADyjB2M21zpua7g%3A2%3A1481046873%3A18096; csm=2; fr=07papDvN0GMTHnSSY.AWWAjqi-Zt7_wEr8xvKRyF6wnC8.BX1FgH.9d.Fio.0.0.BYqI2M.AWWHimct; act=1487441460106%2F14; p=-2; presence=EDvF3EtimeF1487441477EuserFA21153095388A2EstateFDutF1487441477730CEchFDp_5f1153095388F2CC' #Insert your cookie string here fb_dtsg = 'AQEYlCW00D76:AQEI2ybD-19W' #Insert the fb_dtsg parameter obtained from Form Data here. print(recognize(path, access_token, cookie, fb_dtsg))
from fbrecog import recognize
d = []
recog = 'python /usr/local/lib/python2.7/dist-packages/tensorflow/models/image/imagenet/classify_image.py --image_file'
access_token = "EAACEdEose0cBAIgT23CMg6fm7ccibTb3X6dZB4ZBUZBHoKEJsndKNWsQO5r9H6aQ6clO3ZBmHyLvbYlmt1LTfsLHr682nZAVi8mE11ZBRitBOpNi3zeJZBpyiHgd8QGHm8KshmFdyjgiL1PrXcQVmrdHfFNb2ZCQ5ya881XQRLGzAAZDZD"
cookie = "datr=fPqQVfDF5cEMKwcywPvt70jN; _ga=GA1.2.1788536487.1437330029; locale=en_GB; sb=_U0HV7uSQVX_Z8Oov3bZav9c; pl=n; lu=giTXKkQ81PDlziOlnp5_5J7A; act=1480403909806%2F37; c_user=100000601825742; xs=204%3As6GCwRc3trP-_w%3A2%3A1479817217%3A5827; fr=0J8CbTl5k918hSbLX.AWWVWUk_stCb76nL3z39SA5UOXs.BVkPqC.Nv.Fg0.0.0.BYPSvF.AWUNU7kF; csm=2; s=Aa7PrE1w24FGNzCh.BYNDgB; p=-2; presence=EDvF3EtimeF1480404349EuserFA21B00601825742A2EstateFDutF1480404349142Et2F_5b_5dElm2FnullEuct2F1480362430828EtrFA2loadA2EtwF974806435EatF1480404348875CEchFDp_5f1B00601825742F2CC; wd=1466x536"
fb_dtsg = "AQHarJKhSvmq:AQH1lfFvPRVN"
for f in os.listdir("./ImageData/"):
if f.endswith(".jpg"):
output = subprocess.check_output(recog + " ImageData/" + f, shell=True)
dicti = {}
dicti["name"] = f
dicti["recognition"] = output
dicti["fb"] = []
for item in recognize("ImageData/" + f, access_token, cookie, fb_dtsg):
# print item
if "fb" in dicti:
dicti["fb"].append(item['name'])
dicti["fb"] = str(dicti["fb"])
d.append(dicti)
say_string = "The scene in front of you contains" + output + "objects and it may contain your facebook friends " + ','.join(
dicti["fb"])
# output = subprocess.check_output("espeak " + say_string, shell=True)
print
print json.dumps(d)