detect.py

# Stream Video with OpenCV from an Android running IP Webcam (https://play.google.com/store/apps/details?id=com.pas.webcam)
# Code Adopted from http://stackoverflow.com/questions/21702477/how-to-parse-mjpeg-http-stream-from-ip-camera

# import the necessary packages
import numpy as np
import cv2
import urllib2
import sys

host = "192.168.43.1:8080"
# host = "172.16.164.179:8080"

if len(sys.argv)>1:
    host = sys.argv[1]

hoststr = 'http://' + host + '/video'
print 'Streaming ' + hoststr

stream=urllib2.urlopen(hoststr)

cascPath = "haarcascade_frontalface_default.xml" #sys.argv[1]
faceCascade = cv2.CascadeClassifier(cascPath)

capturedNo = 0

bytes=''
while True:
    status = "No Targets"
    bytes+=stream.read(1024)
    a = bytes.find('\xff\xd8')
    b = bytes.find('\xff\xd9')
    if a!=-1 and b!=-1:
        jpg = bytes[a:b+2]
        bytes= bytes[b+2:]
        frame = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8),1)#cv2.CV_LOAD_IMAGE_COLOR)
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        faces = faceCascade.detectMultiScale(
            gray,
            scaleFactor=1.1,
            minNeighbors=5,
            minSize=(30, 30),
            flags=cv2.CASCADE_SCALE_IMAGE #cv.CV_HAAR_SCALE_IMAGE
        )

        # Draw a rectangle around the faces
        for (x, y, w, h) in faces:
            cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

        # capturing the detected face
        capturedNo += 1
        print capturedNo
        cv2.imwrite("frame"+str(capturedNo)+".bmp", frame)

        # Display the resulting frame
        cv2.imshow('Video', frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()