def _get_bbox_head_logit(self, conv_feat):
if self._head_feat is not None:
return self._head_feat
from mxnext.backbone.resnet_v2 import Builder
unit = Builder.resnet_stage(
conv_feat,
name="stage4",
num_block=3,
filter=2048,
stride=1,
dilate=1,
norm_type=self.p.normalizer,
norm_mom=0.9,
ndev=8
)
bn1 = X.fixbn(unit, name='bn1')
relu1 = X.relu(bn1, name='relu1')
relu1 = X.to_fp32(relu1, name='c5_to_fp32')
pool1 = X.pool(relu1, global_pool=True, name='pool1')
self._head_feat = pool1
return self._head_feat
def resnet_c4c5_factory(cls, depth, use_3x3_conv0, use_bn_preprocess,
num_branch, branch_dilates, branch_ids, branch_bn_shared, branch_conv_shared, branch_deform,
norm_type="local", norm_mom=0.9, ndev=None, fp16=False):
c1, c2, c3, c4, c5 = cls.resnet_factory(depth, use_3x3_conv0, use_bn_preprocess,
num_branch, branch_dilates, branch_ids, branch_bn_shared, branch_conv_shared, branch_deform,
norm_type, norm_mom, ndev, fp16)
c5 = X.fixbn(c5, "bn1")
c5 = X.relu(c5)
return c4, c5
