YOLO-Tutorial-v2/odlab/models/neck/__init__.py

from .dilated_encoder import DilatedEncoder
from .fpn import BasicFPN
from .spp import SPPF


# build neck
def build_neck(cfg, in_dim, out_dim):
    print('==============================')
    print('Neck: {}'.format(cfg.neck))

    # ----------------------- Neck module -----------------------
    if cfg.neck == 'dilated_encoder':
        model = DilatedEncoder(in_dim       = in_dim,
                               out_dim      = out_dim,
                               expand_ratio = cfg.neck_expand_ratio,
                               dilations    = cfg.neck_dilations,
                               act_type     = cfg.neck_act,
                               norm_type    = cfg.neck_norm,
                               )
    elif cfg.neck == 'spp_block':
        model = SPPF(in_dim       = in_dim,
                     out_dim      = out_dim,
                     expand_ratio = cfg.neck_expand_ratio,
                     pooling_size = cfg.spp_pooling_size,
                     act_type     = cfg.neck_act,
                     norm_type    = cfg.neck_norm,
                     )
        
    # ----------------------- FPN Neck -----------------------
    elif cfg.neck == 'basic_fpn':
        model = BasicFPN(in_dims = in_dim,
                         out_dim = out_dim,
                         p6_feat = cfg.fpn_p6_feat,
                         p7_feat = cfg.fpn_p7_feat,
                         from_c5 = cfg.fpn_p6_from_c5, 
                         )
    else:
        raise NotImplementedError("Unknown Neck: <{}>".format(cfg.fpn))
        
    return model