I have got a code that does motion detection. It takes video as an input and then when an object comes to the scene, background changes and code publishes "object is seen" as text on that detected frame.
My question is that how do I save frames "when objects are seen" into folders( both for colorful and gray images)? I understand that I can write that frames using " cv2.imwrite("frame%d.jpg" % count, resizedFrame)" but unfortunately it does not work.
How do I save those detected frames to "colorful" and "gray" folders?
You have to read the image first by cv2.imread()
and then cv2.imwrite()
here is a small example
import
cv2
# read image as grey scale
grey_img=cv2.imread('/home/img/python.png',cv2.IMREAD_GRAYSCALE)
# save image
status=cv2.imwrite('/home/img/python_grey.png',grey_img)
print("Image written to file-system : ",status)
If you're don't have the folder path then use this
status=cv2.imwrite('python_grey.png',grey_img)
it will save the photo in default folder in which you save your .py
file
if you want to save different images here is the code
import cv2
import time
# for number of images you need different names so set name automatically
name=str(time.time())+str(.png))
# read image as grey scale
grey_img=cv2.imread('/home/img/python.png',cv2.IMREAD_GRAYSCALE)
# save image
status=cv2.imwrite('%s'%name,grey_img)
print("Image written to file-system : ",status)