import numpy as np
import cv2 as cv
# 1 获取视频
cap = cv.VideoCapture('image/DOG.wmv')
# 2 指定追踪目标
ret,frame = cap.read()
r,h,c,w=197,141,0,208
win = (c,r,w,h)
roi = frame[r:r+h,c:c+w]
# 3 计算直方图
hsv_roi = cv.cvtColor(roi,cv.COLOR_BGR2HSV)
roi_hist = cv.calcHist([hsv_roi],[0],None,[180],[0,180])
cv.normalize(roi_hist,roi_hist,0,255,cv.NORM_MINMAX)
# 4 目标追踪
term = (cv.TERM_CRITERIA_EPS|cv.TERM_CRITERIA_COUNT,10,1)
while(True):
ret,frame = cap.read()
if ret ==True:
hst = cv.cvtColor(frame,cv.COLOR_BGR2HSV)
dst = cv.calcBackProject([hst],[0],roi_hist,[0,180],1)
ret,win = cv.meanShift(dst,win,term)
x,y,w,h = win
img2 = cv.rectangle(frame,(x,y),(x+w,y+h),255,2)
cv.imshow("frame",img2)
if cv.waitKey(60)&0xFF ==ord('q'):
break
# 5 释放资源
cap.release()
cv.destroyAllWindows()
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视觉+opencv+python学习资料
共977个文件
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ipynb:29个
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2022-04-07
11:29:40
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视觉+opencv+python学习资料 (977个子文件)
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