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camshift.py
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45 lines (43 loc) · 1.42 KB
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# -*- coding: utf-8 -*-
"""
Created on Thu Feb 28 11:09:16 2019
@author: Administrator
"""
import numpy as np
import cv2 as cv
cap = cv.VideoCapture(r"d:\MyTestVideo_1.mp4")
# take first frame of the video
ret,frame = cap.read()
# setup initial location of window
r,h,c,w = 1,132,543,162 # simply hardcoded the values
track_window = (c,r,w,h)
# set up the ROI for tracking
roi = frame[r:r+h, c:c+w]
hsv_roi = cv.cvtColor(roi, cv.COLOR_BGR2HSV)
mask = cv.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.)))
roi_hist = cv.calcHist([hsv_roi],[0],mask,[180],[0,180])
cv.normalize(roi_hist,roi_hist,0,255,cv.NORM_MINMAX)
# Setup the termination criteria, either 10 iteration or move by atleast 1 pt
term_crit = ( cv.TERM_CRITERIA_EPS | cv.TERM_CRITERIA_COUNT, 10, 1 )
while(1):
ret ,frame = cap.read()
if ret == True:
hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
dst = cv.calcBackProject([hsv],[0],roi_hist,[0,180],1)
# apply meanshift to get the new location
ret, track_window = cv.CamShift(dst, track_window, term_crit)
# Draw it on image
pts = cv.boxPoints(ret)
pts = np.int0(pts)
img2 = cv.polylines(frame,[pts],True, 255,2)
cv.imshow('img2',img2)
k = cv.waitKey(60) & 0xff
if k == 13:
break
else:
pass
# cv.imwrite(chr(k)+".jpg",img2)
else:
break
cv.destroyAllWindows()
cap.release()