python3.10 test_memory_leak_cv.py 
Iteration 100: Current memory usage is 0.767082MB; Peak was 7.060255MB
Iteration 200: Current memory usage is 0.774338MB; Peak was 7.066686MB
Iteration 300: Current memory usage is 0.781566MB; Peak was 7.073914MB
Iteration 400: Current memory usage is 0.788766MB; Peak was 7.081114MB
Iteration 500: Current memory usage is 0.795966MB; Peak was 7.088314MB
Iteration 600: Current memory usage is 0.803618MB; Peak was 7.095966MB
Iteration 700: Current memory usage is 0.810818MB; Peak was 7.103166MB
Iteration 800: Current memory usage is 0.818018MB; Peak was 7.110366MB
Iteration 900: Current memory usage is 0.825218MB; Peak was 7.117566MB
Iteration 1000: Current memory usage is 0.832418MB; Peak was 7.124766MB
Iteration 1100: Current memory usage is 0.839618MB; Peak was 7.131966MB
Iteration 1200: Current memory usage is 0.846818MB; Peak was 7.139166MB
Iteration 1300: Current memory usage is 0.854018MB; Peak was 7.146366MB
Iteration 1400: Current memory usage is 0.861218MB; Peak was 7.153566MB
Iteration 1500: Current memory usage is 0.868418MB; Peak was 7.160766MB
Iteration 1600: Current memory usage is 0.875618MB; Peak was 7.167966MB
Iteration 1700: Current memory usage is 0.882818MB; Peak was 7.175166MB
Iteration 1800: Current memory usage is 0.890018MB; Peak was 7.182366MB
Iteration 1900: Current memory usage is 0.897218MB; Peak was 7.189566MB
Iteration 2000: Current memory usage is 0.904418MB; Peak was 7.196766MB
Iteration 2100: Current memory usage is 0.911618MB; Peak was 7.203966MB
Iteration 2200: Current memory usage is 0.918818MB; Peak was 7.211166MB
Iteration 2300: Current memory usage is 0.926018MB; Peak was 7.218366MB

import cv2
import numpy as np
import gc
import tracemalloc

def test_subtract_memory_leak(iterations=5000):
    """
    Tests for memory leaks when using cv2.subtract in a loop.
    """

    tracemalloc.start()

    for i in range(iterations):
        img1 = np.random.randint(0, 256, (512, 512, 3), dtype=np.uint8).astype(np.float32)
        img2 = np.random.randint(0, 256, (3), dtype=np.uint8).astype(np.float32)

        result = cv2.subtract(img1, img2) # main operation for testing

        # Explicitly delete variables to help garbage collection.
        del img1, img2, result
        gc.collect() # Force garbage collection

        if (i+1) % 100 == 0:
            current, peak = tracemalloc.get_traced_memory()
            print(f"Iteration {i+1}: Current memory usage is {current / 10**6}MB; Peak was {peak / 10**6}MB")

    tracemalloc.stop()

test_subtract_memory_leak()