def format_np_output(np_arr):
    """
        This is a (kind of) bandaid fix to streamline saving procedure.
        It converts all the outputs to the same format which is 3xWxH
        with using sucecssive if clauses.
    Args:
        im_as_arr (Numpy array): Matrix of shape 1xWxH or WxH or 3xWxH
    """
    # Phase/Case 1: The np arr only has 2 dimensions
    # Result: Add a dimension at the beginning
    if len(np_arr.shape) == 2:
        np_arr = np.expand_dims(np_arr, axis=0)
    # Phase/Case 2: Np arr has only 1 channel (assuming first dim is channel)
    # Result: Repeat first channel and convert 1xWxH to 3xWxH
    if np_arr.shape[0] == 1:
        np_arr = np.repeat(np_arr, 3, axis=0)
    # Phase/Case 3: Np arr is of shape 3xWxH
    # Result: Convert it to WxHx3 in order to make it saveable by PIL
    if np_arr.shape[0] == 3:
        np_arr = np_arr.transpose(1, 2, 0)
    # Phase/Case 4: NP arr is normalized between 0-1
    # Result: Multiply with 255 and change type to make it saveable by PIL
    if np.max(np_arr) <= 1:
        np_arr = (np_arr*255).astype(np.uint8)
    return np_arr

        This is a (kind of) bandaid fix to streamline saving procedure.
        It converts all the outputs to the same format which is 3xWxH
        with using sucecssive if clauses.
    Args:
        im_as_arr (Numpy array): Matrix of shape 1xWxH or WxH or 3xWxH
    
src/misc_functions.py