client1.py

import cv2
import zmq
import numpy as np

img=cv2.imread('face.jpg')
#Takes an image input 
context= zmq.Context()
#Here we build the context for communication to server
socket = context.socket(zmq.REQ)
#From the context we create a request socket as we are client 
socket.connect("tcp://127.0.0.1:9999")
#For the example purpose we are taking port 9999 and localhost ip for sake of demonstration
#So far we have sent a connection req to server . As the server binds it we then can communicate


# THIS FUNCTION SENDS THE FRAME IMAGE TO THE ENDPOINT
def send_array(socket, A, flags=0, copy=True, track=False):
    md = dict(
        dtype = str(A.dtype),
        shape = A.shape,
    )
    # Made a dictionary of dtype of array and shape of array so that at server side we know
    # at the time of transforming array from  buffer we must know the shape to get it back.

    socket.send_json(md, flags|zmq.SNDMORE)
    #Sent the image using json to the server
    return socket.send(A, flags, copy=copy, track=track)
    # Finally sending the image in form of buffer to the server.

# THIS FUNCTION RECIEVIES THE ARRAY SENT FROM ANOTHER END
def recv_array(socket, flags=0, copy=True, track=False):
    md = socket.recv_json(flags=flags)
    # Recieves the json file containing dtype and shape of the required array
    msg = socket.recv(flags=flags, copy=copy, track=track)
    # msg is the buffer recived which contains the array
    A = np.frombuffer(msg, dtype=md["dtype"])
    # Using numpy and shape known  we transform the buffer into the array and reshape
    # it to required shape and then finally return it.
    return A.reshape(md['shape'])

# NOTE - If you wish to learn more about sending and receving arrays with zmq
#        then you can visit - https://pyzmq.readthedocs.io/en/latest/serialization.html

send_array(socket,img)
# Sent the frame to server for prediction and drawing boxes
frame = recv_array(socket)
# Recieved the frame with boxes drawn around face, eyes and lips
cv2.imshow('Client side camera ', frame)
# Show the frame to client
cv2.waitKey(0)
cv2.destroyAllWindows()
# Release the webcam cameras