def METHOD_NAME(imgs, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)):
    """
    Function dapted from gluoncv.data.transforms.presets.ssd, normalizes and converts image to tensor.
    :param imgs:
    :type imgs:
    :param mean:
    :type mean:
    :param std:
    :type std:
    :return:
    :rtype:
    """
    if isinstance(imgs, mx.nd.NDArray):
        imgs = [imgs]
    for im in imgs:
        assert isinstance(im, mx.nd.NDArray), "Expect NDArray, got {}".format(type(im))
    tensors = []
    origs = []
    for img in imgs:
        orig_img = img.asnumpy().astype('uint8')
        img = mx.nd.image.to_tensor(img)
        img = mx.nd.image.normalize(img, mean=mean, std=std)
        tensors.append(img.expand_dims(0))
        origs.append(orig_img)
    if len(tensors) == 1:
        return tensors[0], origs[0]
    return tensors, origs