OpenCV - 在背景减法器 MOG 中修复前景
OpenCV - Fixing foreground in Background subtractor MOG
如何在opencv-python中使用mog背景减法器修复前景?我正在尝试拥有一个更稳定的前景,一旦它可以正确地从背景中减去前景(例如将前景固定大约 5 秒),它就可以继续显示前景
这是我的代码:
cap = cv2.VideoCapture(0)
history = 500 # or whatever you want it to be
accelerate = 5
fgbg = cv2.createBackgroundSubtractorMOG2(history=500, varThreshold=20, detectShadows=True)
count=0
while(1):
for i in (1, accelerate):
ret, frame = cap.read()
fgmask = fgbg.apply(frame, learningRate=1.0/history)
imageproc(fgmask,count)
# time.sleep(5)
k = cv2.waitKey(0) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
import numpy as np
import cv2
import time
cap = cv2.VideoCapture('video.avi')
fgbg = cv2.createBackgroundSubtractorMOG()
while(1):
ret, frame = cap.read()
fgmask = fgbg.apply(frame)
cv2.imshow('frame',fgmask)
time.sleep(5)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
如何在opencv-python中使用mog背景减法器修复前景?我正在尝试拥有一个更稳定的前景,一旦它可以正确地从背景中减去前景(例如将前景固定大约 5 秒),它就可以继续显示前景 这是我的代码:
cap = cv2.VideoCapture(0)
history = 500 # or whatever you want it to be
accelerate = 5
fgbg = cv2.createBackgroundSubtractorMOG2(history=500, varThreshold=20, detectShadows=True)
count=0
while(1):
for i in (1, accelerate):
ret, frame = cap.read()
fgmask = fgbg.apply(frame, learningRate=1.0/history)
imageproc(fgmask,count)
# time.sleep(5)
k = cv2.waitKey(0) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
import numpy as np
import cv2
import time
cap = cv2.VideoCapture('video.avi')
fgbg = cv2.createBackgroundSubtractorMOG()
while(1):
ret, frame = cap.read()
fgmask = fgbg.apply(frame)
cv2.imshow('frame',fgmask)
time.sleep(5)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()