#==============================================================================

# By: Mahnoor Anjum

# Date: 8/12/2018

# Codes inspired by:

# Official Documentation

# opencv-python-tutroals.readthedocs.io

#==============================================================================

import numpy as np

import cv2

cap = cv2.VideoCapture(0)

# take first frame of the video

ret,frame = cap.read()

# setup initial location of window

r,h,c,w = 200,90,400,100

bounding_window = (c,r,w,h)

lower_color = np.array([90,10,10])

upper_color = np.array([130,255,255])

# set up the ROI for tracking

roi = frame[r:r+h, c:c+w]

hsv_roi = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

mask = cv2.inRange(hsv_roi, lower_color, upper_color)

roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])

cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)

# Setup the termination criteria, either 10 iteration or move by atleast 1 pt

term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )

while True:

ret ,frame = cap.read()

if ret == True:

hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)

# apply meanshift to get the new location

ret, bounding_window = cv2.CamShift(dst, bounding_window, term_crit)

# Draw the poly

pts = cv2.boxPoints(ret)

pts = np.int0(pts)

feed = cv2.polylines(frame,[pts],True, 255,2)

feed = cv2.flip(feed, 1)

cv2.imshow('video feed',feed)

if cv2.waitKey(1) == 13: #13 is the Enter Key

break

cv2.destroyAllWindows()

cap.release()