OpenCV3.0+Python3.6實現(xiàn)特定顏色的物體追蹤

# -*- coding : utf-8 -*-
# Author: Tom Yu
import cv2
import numpy as np
 
cap = cv2.VideoCapture(0)#獲取攝像頭圖像
# img = cv2.imread("timg1.jpg")
# hsv_img = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
 
def nothing(x):
  pass
def createbars():
  """
  實現(xiàn)創(chuàng)建六個滑塊的作用，分別控制H、S、V的最高值與最低值
  """
  cv2.createTrackbar("H_l","image",0,180,nothing)
  cv2.createTrackbar("H_h","image",0,180,nothing)
  cv2.createTrackbar("S_l","image",0,255,nothing)
  cv2.createTrackbar("S_h","image",0,255,nothing)
  cv2.createTrackbar("V_l","image",0,255,nothing)
  cv2.createTrackbar("V_h","image",0,255,nothing)
cv2.namedWindow("image")
createbars()#創(chuàng)建六個滑塊
 
lower = np.array([0,0,0])#設(shè)置初始值
upper = np.array([0,0,0])
while True:
  ret,frame = cap.read()
  hsv_frame = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)#將圖片由BGR顏色空間轉(zhuǎn)化成HSV空間，HSV可以更好地分割顏色圖形
  lower[0]=cv2.getTrackbarPos("H_l","image")#獲取"H_l"滑塊的實時值
  upper[0]=cv2.getTrackbarPos("H_h","image")#獲取"H_h"滑塊的實時值
  lower[1]=cv2.getTrackbarPos("S_l","image")
  upper[1]=cv2.getTrackbarPos("S_h","image")
  lower[2]=cv2.getTrackbarPos("V_l","image")
  upper[2]=cv2.getTrackbarPos("V_h","image")
 
  mask = cv2.inRange(hsv_frame,lower,upper)#cv2.inrange()函數(shù)通過設(shè)定的最低、最高閾值獲得圖像的掩膜
  cv2.imshow("img",frame)
  cv2.imshow("mask",mask)
  if cv2.waitKey(1)&0xff == 27:
    break
 
cv2.destroyAllWindows()

# -*- coding : utf-8 -*-
# Author: Tom Yu
import cv2
import numpy as np
 
cap = cv2.VideoCapture(0)#獲取攝像頭視頻
 
while True:
  ret,frame = cap.read()#讀取每一幀圖片
  hsv_frame = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)#將每一幀圖片轉(zhuǎn)化HSV空間顏色
  """
  依據(jù)之前的腳本獲取的閾值設(shè)置最高值與最低值
  """
  lower = np.array([0,104,205])
  upper = np.array([15,208,255])
 
  mask = cv2.inRange(hsv_frame,lower,upper)
  img,conts,hier = cv2.findContours(mask,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)#找出邊界
  cv2.drawContours(frame,conts,-1,(0,255,0),3)#畫出邊框
  dst = cv2.bitwise_and(frame,frame,mask=mask)#對每一幀進行位與操作，獲取追蹤圖像的顏色
  #cv2.imshow("mask",mask)
  #cv2.imshow("dst",dst)
  cv2.imshow("frame",frame)
  if cv2.waitKey(1)&0xff == 27:
    break
 
cv2.destroyAllWindows()