# Copyright (C) 2024-present Naver Corporation. All rights reserved.
# Licensed under CC BY-NC-SA 4.0 (non-commercial use only).
#
# --------------------------------------------------------
# head factory
# --------------------------------------------------------
from .dpt_gs_head import create_gs_dpt_head
from .linear_head import LinearPts3d
from .linear_gs_head import create_gs_linear_head
from .dpt_head import create_dpt_head


def head_factory(head_type, output_mode, net, has_conf=False, out_nchan=3):
    """" build a prediction head for the decoder
    """
    if head_type == 'linear' and output_mode == 'pts3d':
        return LinearPts3d(net, has_conf)
    elif head_type == 'dpt' and output_mode == 'pts3d':
        return create_dpt_head(net, has_conf=has_conf)
    elif head_type == 'dpt' and output_mode == 'gs_params':
        return create_dpt_head(net, has_conf=False, out_nchan=out_nchan, postprocess_func=None)
    elif head_type == 'dpt_gs' and output_mode == 'gs_params':
        return create_gs_dpt_head(net, has_conf=False, out_nchan=out_nchan, postprocess_func=None)
    elif head_type == 'linear' and output_mode == 'ga_params':
        return create_gs_linear_head(net, has_conf=False, out_nchan=out_nchan, postprocess_func=None)
    else:
        raise NotImplementedError(f"unexpected {head_type=} and {output_mode=}")