Adapter Face Recognition Client

adapter-face-clicnt.py

import cv2
import requests
import imutils
from PIL import Image

url = "http://192.168.0.164:5000/detect/faces"
video_capture = cv2.VideoCapture(0)
while True:
    ret, frame = video_capture.read()
    frame = imutils.resize(frame, width=640)
    cv2.imshow('frame',frame)
    _, img_encoded = cv2.imencode('.jpg', frame)
    files = {'image': img_encoded.tostring()}
    headers = {"Authorization":"Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE1Mjc2NTAxMzksIm5iZiI6MTUyNzY1MDEzOSwianRpIjoiZWQzMzQwMzktYmYyOS00N2I1LTlkYzYtZDk4NmMzZjU5ZDEzIiwiZXhwIjoxNTI3NjUxMDM5LCJpZGVudGl0eSI6ImFkYXB0ZXIiLCJmcmVzaCI6ZmFsc2UsInR5cGUiOiJhY2Nlc3MifQ.EYZJKoje4yDHb6mmDdt4ScgEO8hAGRV-_XEP1I0J1S8"}
    response = requests.post(url, files=files, headers=headers)
    print(response.text)
    cv2.waitKey(1)