OpenCV feed keeps getting crash

Python kernel keeps getting dead.
When I open the CV2 feed. It keeps getting crashed (not responding window).

In this code : cap = cv2.VideoCapture(0)
# Set mediapipe model 
with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:
    while cap.isOpened():

        # Read feed
        ret, frame = cap.read()

        # Make detections
        image, results = mediapipe_detection(frame, holistic)
        print(results)
        
        # Draw landmarks
        draw_styled_landmarks(image, results)

        # Show to screen
        cv2.imshow('OpenCV Feed', image)

        # Break gracefully
        if cv2.waitKey(10) & 0xFF == ord('q'):
            break
    cap.release()
    cv2.destroyAllWindows()```

-> It's working fine but in this code:

```python
cap = cv2.VideoCapture(0)
with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:
    
    for action in actions:
        for sequence in range(start_folder, start_folder+no_sequences):
            
            for frame_num in range(sequence_length):

                ret, frame = cap.read()

                image, results = mediapipe_detection(frame, holistic)

                draw_styled_landmarks(image, results)
                
                if frame_num == 0: 
                    cv2.putText(image, 'STARTING COLLECTION', (120,200), 
                               cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255, 0), 4, cv2.LINE_AA)
                    cv2.putText(image, 'Collecting frames for {} Video Number {}'.format(action, sequence), (15,12), 
                               cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 1, cv2.LINE_AA)
                    cv2.imshow('OpenCV Feed', image)
                    cv2.waitKey(500)
                else: 
                    cv2.putText(image, 'Collecting frames for {} Video Number {}'.format(action, sequence), (15,12), 
                               cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 1, cv2.LINE_AA)
                    cv2.imshow('OpenCV Feed', image)
                keypoints = extract_keypoints(results)
                npy_path = os.path.join(DATA_PATH, action, str(sequence), str(frame_num))
                np.save(npy_path, keypoints)
                if cv2.waitKey(10) & 0xFF == ord('q'):
                    break
                    
    cap.release()
    cv2.destroyAllWindows()

It's getting crashed.
It just open the CV2 feed window and freeze.
This code worked just fine a month ago.
I'm using Python 3.11.5 because it's the highest version that is compatible with TensorFlow.
I updated all the outdated library.
Use the environment approach.
While running my task manager show python task for few second.
There is no change in CPU usage, but memory usage increases by 900 MB to 1 GB.

I don't know what causes the problem?
Tried updating BIOS,system, libraries, pip, environment approach.
I also use cv2 windowthread method.

Start by reproducing the two provided snippets with Python 3.11.5 and the updated libraries, comparing the working feed loop with the collection loop. Inspect cv2.VideoCapture, cv2.imshow, cv2.waitKey, mediapipe_detection, extract_keypoints, and np.save while monitoring the reported memory increase. Done means identifying a reproducible cause of the freeze or documenting the missing environment details needed to isolate it.