Example
import numpy as np
import cv2
#access a video from your disk
#to use the GIF in this example, convert to avi!
cap = cv2.VideoCapture('eg_videoRead.avi')
#we are going to read 10 frames
#we store the frames in a numpy structure
#then we'll generate a minimum projection of those frames
frameStack=[]
numFrames=10
for fr in range(numFrames):
cap.set(cv2.CAP_PROP_POS_FRAMES,fr) #specifies which frame to read next
frame=cap.read() #read the frame
#gray = cv2.cvtColor(frame[1], cv2.COLOR_BGR2GRAY) #convert to gray scale
frameStack.append(frame[1]) #add current frame to our frame Stack
minProjection=np.min(frameStack,axis=0) #find the minimum across frames
cv2.imshow("projection", minProjection) #show the result