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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def detect_and_visualize(self, im_list, root_dir=None, extension=None, classes=[], thresh=0.6, show_timer=False):
 """ wrapper for im_detect and visualize_detection Parameters: im_list : list of str or str image path or list of image paths root_dir : str or None directory of input images, optional if image path already has full directory information extension : str or None image extension, eg. ".jpg", optional Returns: """

        dets = self.im_detect(im_list, root_dir, extension, show_timer=show_timer)
        if not isinstance(im_list, list):
            im_list = [im_list]
        assert len(dets) == len(im_list)
        for k, det in enumerate(dets):
            img = cv2.imread(im_list[k])
            img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
            self.visualize_detection(img, det, classes, thresh)