hey i just want some help this is my code but i do not know how to display the video using imshow or anyother method. it was working fine but as soon as i put all the code into processes it is running in chunks and secondly i am not able to display video. can someone please help me ? i do not know what i am doing wrong.
import cv2
import os, numpy
import sys
import time
import multiprocessing as mp
from multiprocessing import Process, Queue
#CASCADE_FILE = 'haarcascade_frontalface_default.xml'
fn_dir = 'att_faces'
fn_name = sys.argv[1]
path = os.path.join(fn_dir, fn_name)
if not os.path.isdir(path):
os.mkdir(path)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
#capture = cv2.VideoCapture(0)
def setup_camera(q):
capture = cv2.VideoCapture(0)
ret, frame = capture.read()
frame = cv2.flip(frame, 1)
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
q.put( frame)
return frame
def faceDetect(frame):
print "frame" , frame
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 2)
print "FACE LENGTH"
print len(faces)
if( len(faces)>0):
for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
cv2.putText(frame, 'unknown', (x - 10, y - 10), cv2.FONT_HERSHEY_PLAIN,
1,(0, 255, 0))
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
pin=sorted([int(n[:n.find('.')]) for n in os.listdir(path)
if n[0]!='.' ]+[0])[-1] + 1
cv2.imwrite('%s/%s.png' % (path, pin), roi_gray)
else:
print"not found"
if __name__ == '__main__':
while True:
#capture = cv2.VideoCapture(0)
print "7 queue"
q = mp.Queue()
p1 = Process(target=setup_camera, args=(q,))
p1.start()
print "process 1 started"
fr=q.get()
print "got frame from queue"
p1.join()
print "process 2"
p2 = Process(target=faceDetect, args=(fr,))
p2.start()
print "process 2 started"
cv2.imshow('img',fr)
#cv2.imshow('img',fr)
cv2.waitKey(0)
#capture.release()
#cv2.destroyAllWindows()
# When everything is done, release the capture
capture.release()
cv2.destroyAllWindows()
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