Hi, am a newbie in opencv. I had created a code for face recognition using opencv. it works on local host.but i had implement the code in server. web cam pop-up is not coming.why it is not coming i didn't understand.

This is my code:

import sys,json,numpy as np import face_recognition import cv2

for feeding data

import glob,os from pathlib import Path import numpy as np home = str(os.path.dirname(os.path.abspath(__file__))) + "/../../" file_names = glob.glob(home + "/known_people/.jpg") def read_in(): lines = sys.stdin.readline() # Since our input would only be having one line, parse our JSON data from that return lines def authorised(name): # Assuming if person is not in Database then it is Un-authorised return not "Unknown" in name def main(): home = str(os.path.dirname(os.path.abspath(__file__))) + "/../../" known_encodings_file_path = home + "/data/known_encodings_file.csv" people_file_path = home + "/data/people_file.csv" # For storing the encoding of a face known_encodings_file = Path(known_encodings_file_path) if known_encodings_file.is_file(): known_encodings = np.genfromtxt(known_encodings_file, delimiter=',') else: known_encodings = []

people_file = Path(people_file_path)
if people_file.is_file():
    people = np.genfromtxt(people_file, dtype='U',delimiter=',')
else:
    people = []

video_capture = cv2.VideoCapture(0)
original_width = video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)
original_height = video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT)
face_locations = []
face_encodings = []
face_names = []
process_this_frame = True
while True:
        if video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)!=original_width or video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT)!= original_height:
        video_capture.set(cv2.CAP_PROP_FRAME_WIDTH, original_width)
        video_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, original_height)
    ret, frame = video_capture.read()
    if not ret:
        continue
    #smaller frame 1/4th of original size
    small_frame = cv2.resize(frame, (0,0), fx=.25, fy=.25)

    if process_this_frame:
        #Find the face locations
        face_locations = face_recognition.face_locations(small_frame)
        #Find the face encodings 128 Dimensional!!
        face_encodings = face_recognition.face_encodings(small_frame, face_locations)

        face_names=[]
        other = 0 #Count of un-authorised people
        for face_encoding in face_encodings:
            match = face_recognition.compare_faces(known_encodings, face_encoding)
            name = "Unknown"

            #Find if this person is in the present people array
            for i in range(len(match)):
                if match[i]:
                    name = people[i]
                    break
            #Change it, run the loop to find no. of Unknown
            if "Unknown" in name:
                other += 1
                name += str(other)
            face_names.append(name)
        print(face_names)
    process_this_frame = not process_this_frame

    for (top, right, bottom, left),name in zip(face_locations, face_names):
        #Scale up the coordinates by 4 to get face
        top *= 4
        right *= 4
        bottom *= 4
        left *= 4
        color =  (0,255,0)  #GREEN
        if not authorised(name):
            #Unauthenticated person
            color = (0,0,255) #RED
        #Display border
        cv2.rectangle(frame, (left,top), (right,bottom), color, 2)

        # Draw a label with name
        cv2.rectangle(frame, (left,bottom-35), (right, bottom), color, cv2.FILLED)
        font = cv2.FONT_HERSHEY_DUPLEX
        cv2.putText(frame, name,(left+6, bottom-6), font, 1.0, (255,255,255), 1)

    # Display the resulting image with borders and names
    cv2.imshow('Video', frame)

    # Hit 'q' on keyboard to quit
    if cv2.waitKey(100) == 27:
        break

#Release handle to the webcam
video_capture.release()
cv2.closeAllWindows()

start process

if __name__ == '__main__': main() Can you please help me?