python - Exit code 139 when performing image subtraction -

i performing image subtraction using python. have images in form of numpy arrays. size of list carrying images 1000. each numpy array in list of 360*640 type. frame subtraction happening correct when number of frames around 300.

def find_der(frames):     der = []     in range(len(frames)-1):         der.append(frames[a + 1] - frames[a])     return der  framesprocessing = 1000 j in range(framesprocessing):      img = cv.queryframe(video)     if img none:        print("images not captured")     else:        tmp = cv.createimage(cv.getsize(img), 8, 3)     saveimagescolor = 'abhiram_images/rgb/frame' + str(i) + '.png'  #saving iplimages local pc    cv.saveimage(saveimagescolor, img)     saveimagesgray = 'abhiram_images/gray/frame' + str(i) + '.png'  #saving grayscale images local pc    img1 = cv2.imread(saveimagescolor)    grayimg = cv2.cvtcolor(img1,cv2.color_bgr2gray)    cv2.imwrite(saveimagesgray, grayimg)    graynumpyimage = np.array(grayimg, dtype='int64')    grayscale.append(graynumpyimage)    += 1  first_der = find_der(grayscale) 

when execute code frames processing 1000 getting following output:

process finished exit code 139 

could me how overcome error , throw light when such kind of error

you might running out of memory: have 1000 images x 360 pixels x 640 pixels x 3 bands x 8 bits = 691 mb...

code 139 listed here "attempt access virtual address not in address space", support memory allocation error, happen if on 32-bit system low amount of ram, , other things in memory.

you might refactor code it's not necessary hold list of images in memory, instance, hold last image in memory, perform subtraction , overwrite current image.

you test replacing function with:

a = [] in range(1000):     a.append(numpy.ones((360,640,3), dtype=numpy.int)) 

and seeing if runs without running out of memory.