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'''

Created on Sep 9, 2017

@author: inayat

'''

# import the required packages

from imutils.video import WebcamVideoStream

#from imutils.video import FPS

import numpy as np

import argparse

import imutils

import time

import cv2

from utils.fps2 import FPS2

import dlib

from trackers.camshifttracker import CAMShiftTracker

if __name__ == '__main__':

print("[info] starting to read a webcam ...")

capWebCam = WebcamVideoStream(0).start()

time.sleep(1.0)

# initialize dlib face detector

frontFaceDetector = dlib.get_frontal_face_detector()

# meanShift tracker

camShifTracker = None

curWindow = None

# start the frame per second (FPS) counter

#fps = FPS2().start()

boolDetectFaceinfirsFrameOnly = True

# loop over the frames obtained from the webcam

while True:

# grab each frame from the threaded stream,

# resize

# it, and convert it to grayscale (while still retaining 3

# channels)

frame1 = capWebCam.read()

frame = cv2.flip(frame1,1)

#frame = imutils.resize(frame, width=450)

#frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

#frame = np.dstack([frame, frame, frame])

# display the size of the queue on the frame

#cv2.putText(frame, "Queue Size: {}".format(fvs.Q.qsize()),

# (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)

if boolDetectFaceinfirsFrameOnly:

faceRect = frontFaceDetector(frame, 0)

if(not len(faceRect) ):

print("[info] Face not found")

continue

# start the frame per second (FPS) counter

fps = FPS2().start()

bbox = faceRect[0]

# convert dlib rect to opencv rect

curWindow = (int(bbox.left()), int(bbox.top()), int(bbox.right() - bbox.left()),

int(bbox.bottom() - bbox.top()) )

# intialize the CAMShift Tracker

camShifTracker = CAMShiftTracker(curWindow, frame)

boolDetectFaceinfirsFrameOnly = False

continue

camShifTracker.computeNewWindow(frame)

x,y, w, h = camShifTracker.getCurWindow()

bkprojectImage = camShifTracker.getBackProjectedImage(frame)

cv2.imshow("CAMShift Face in Back Project Image", bkprojectImage)

# display the current window

cv2.rectangle(frame, (x,y), (x+w, y+h), (255, 0, 0), 2, cv2.LINE_AA)

rotatedWindow = camShifTracker.getRotatedWindow()

#display rotated window

cv2.polylines(frame, [rotatedWindow], True, (0,255,0), 2, cv2.LINE_AA)

fps.update()

cv2.putText(frame, "FPS: {:.2f}".format(fps.fps()),

(10, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)

# show the frame and update the FPS counter

cv2.imshow("CAMShift Face Tracking", frame)

k = cv2.waitKey(10) & 0xff

if k == 27:

break

# stop the timer and display FPS information

fps.stop()

print("[INFO] elasped time: {:.2f}".format(fps.elapsed()))

print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))

# do a bit of cleanup

cv2.destroyAllWindows()

capWebCam.stop()