I'm trying to make a python program with OpenCV, which opens the webcam and takes several images with different exposures in real time (40ms,95ms,150ms) and averages them in the end. I tried to create a loop in which I change the exposure time, update the rendering (frame) and save it in a list, but the problem is that the display remains static and the rendering hardly changes (which gives after merging the images an image whose exposure time is almost 40)
I supposed that after setting exposure time, the frame update needs some time so I added the method time.sleep
to suspend the execution for 3 seconds, but it was in vain.
Here is my code
import numpy as np
import cv2
import os
import time
capture = cv2.VideoCapture(0, cv2.CAP_V4L2)
while True:
(grabbed, frame) = capture.read()
if not grabbed:
break
# Resize frame
width = 1500
height = 1000
dim = (width, height)
frame = cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)
cv2.imshow('RGB', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if cv2.waitKey(1) == ord('h') or cv2.waitKey(1) == ord('H'):
#repertory = input("Enter the name of the directory: ")
if not os.path.exists(repertory):
os.mkdir(repertory)
exposure = [40,95,150]
ims = []
for i in exposure:
capture.set(cv2.CAP_PROP_EXPOSURE, i) # Setting Exposure
(grabbed, frame) = capture.read() # Updating frame
if grabbed:
cv2.imshow('RGB', frame) #Display
ims.append(frame)
# Convert to numpy
ims = np.array([np.array(im) for im in ims])
# average et conversion en uint8
imave = np.average(ims, axis=0)
imave = imave.astype(np.uint8)
# image HDR
cv2.imwrite(repertory + '/' + repertory + '_HDR8.jpg', imave)
capture.release()
cv2.destroyAllWindows()
Is there an optimal solution that allows to take pictures with differents exposure time in real time and in an automatic way?