def coarsemask_head_generator(params):
"""Generator function for RetinaNet head architecture."""
return heads.ShapemaskCoarsemaskHead(params.num_classes,
params.num_downsample_channels,
params.mask_crop_size,
params.use_category_for_mask,
params.num_convs)
def coarsemask_head_generator(params):
"""Generator function for ShapeMask coarse mask head architecture."""
head_params = params.shapemask_head
return heads.ShapemaskCoarsemaskHead(
params.architecture.num_classes,
head_params.num_downsample_channels,
head_params.mask_crop_size,
head_params.use_category_for_mask,
head_params.num_convs,
batch_norm_activation=batch_norm_activation_generator(
params.batch_norm_activation))
