backsub | Background Subtraction with OpenGL

I'm creating a Swift UI application to process images on a device and use the OpenCV library, specifically the BackgroundSubtractor algorithm. I was able to follow the OpenCV iOS guide and perform basic image operations, like take an image, convert to Matrix, make it gray or perform bitwise operations with OpenCV functions but when I try to use the BackgroundSubtractor.apply method, the app crashes with EXC_BAD_ACCESS error:

Thread 1: EXC_BAD_ACCESS (code=2, address=0x10455aa40)

Here is my code:

I am using background subtraction to identify and control items on a conveyor belt. The work is very similar to the typical tracking cars on a highway example. I start out with an empty conveyor belt so the computer knows the background in the beginning. But after the conveyor has been full of packages for a while the computer starts to think that the packages are the background. This requires me to restart the program from time to time. Does anyone have a workaround for this? Since the conveyor belt is black I am wondering if it maybe makes sense to toss in a few blank frames from time to time or if perhaps there is some other solution. Much Thanks

I have an image processing problem that I can't solve. I have a set of 375 images like the one below (1). I'm trying to remove the background, so to make "background substraction" (or "foreground extraction") and get only the waste on a plain background (black/white/...).

(1) Image example

I tried many things, including createBackgroundSubtractorMOG2 from OpenCV, or threshold. I also tried to remove the background pixel by pixel by subtracting it from the foreground because I have a set of 237 background images (2) (the carpet without the waste, but which is a little bit offset from the image with the objects). There are also variations in brightness on the background images.

(2) Example of a background image

Here is a code example that I was able to test and that gives me the results below (3) and (4). I use Python 3.8.3.

I am doing object tacking using backgoundsubtraction and i applied this tutorial https://www.pyimagesearch.com/2018/07/23/simple-object-tracking-with-opencv/ for live stream video its giving output properly. but when i gave sequence of image frames all the ID is being printed on the new image and along with old ID and OLD id is not being removed

the next frame will get the new ID and the previous id will also be printed on it How do i fix this