I am encountering an error when trying to resize an image:

cv2.error: OpenCV(4.9.0) :-1: error: (-5:Bad argument) in function 'resize'
> Overload resolution failed:
> - src is not a numpy array, neither a scalar
> - Expected Ptr<cv::UMat> for argument 'src'

Here is my code:

def remove_background(image): # Ensure image is in the correct format (BGR for OpenCV) image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
    # Resize image to expected size
    resized_image = cv2.resize(image, (640, 640))  # Adjust size according to model's input size
    # Perform inference to obtain masks and bounding boxes
    outputs = model.signatures["default"](tf.constant(resized_image))
    masks = outputs['detection_masks']
    boxes = outputs['detection_boxes']
    # Apply masks to remove background
    processed_image = image.copy()
    for i in range(len(masks)):
        mask = masks[i]
        box = boxes[i]
        box = [int(b * 640) for b in box]  # Scale bounding box coordinates
        mask = np.array(mask * 255, dtype=np.uint8)
        processed_image[box[0]:box[2], box[1]:box[3]] = cv2.bitwise_and(processed_image[box[0]:box[2], box[1]:box[3]], processed_image[box[0]:box[2], box[1]:box[3]], mask=mask)
    # Convert image back to RGB format
    processed_image = cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB)
    return processed_image

Can someone please help me? Is this because of numpy?