(
        self,
        reg_mean=[0.0, 0.0, 0.0, 0.0],
        reg_std=[1.0, 1.0, 1.0, 1.0],
    )
Args:
            reg_mean(np.ndarray): [x0_mean, x1_mean, y0_mean, y1_mean] or None
            reg_std(np.ndarray):  [x0_std, x1_std, y0_std, y1_std] or None
Args:
            reg_mean(np.ndarray): [x0_mean, x1_mean, y0_mean, y1_mean] or None
            reg_std(np.ndarray):  [x0_std, x1_std, y0_std, y1_std] or None
Args : reg_mean ( np . ndarray ) : [ x0_mean x1_mean y0_mean y1_mean ] or None reg_std ( np . ndarray ) : [ x0_std x1_std y0_std y1_std ] or None
def __init__(
        self,
        reg_mean=[0.0, 0.0, 0.0, 0.0],
        reg_std=[1.0, 1.0, 1.0, 1.0],
    ):
        """
        Args:
            reg_mean(np.ndarray): [x0_mean, x1_mean, y0_mean, y1_mean] or None
            reg_std(np.ndarray):  [x0_std, x1_std, y0_std, y1_std] or None

        """
        self.reg_mean = np.array(reg_mean, dtype="float32")[None, :]
        self.reg_std = np.array(reg_std, dtype="float32")[None, :]
        super().__init__()
def __init__ ( self , reg_mean = [ 0.0 , 0.0 , 0.0 , 0.0 ] , reg_std = [ 1.0 , 1.0 , 1.0 , 1.0 ] , ) : self . reg_mean = np . array ( reg_mean , dtype = "float32" ) [ None , : ] self . reg_std = np . array ( reg_std , dtype = "float32" ) [ None , : ] super ( ) . __init__ ( )