|
|
|
|
|
|
|
from collections import OrderedDict
|
|
|
|
from detectron2.checkpoint import DetectionCheckpointer
|
|
|
|
|
|
def _rename_HRNet_weights(weights):
|
|
|
|
|
|
if (
|
|
len(weights["model"].keys()) == 1956
|
|
and len([k for k in weights["model"].keys() if k.startswith("stage")]) == 1716
|
|
):
|
|
hrnet_weights = OrderedDict()
|
|
for k in weights["model"].keys():
|
|
hrnet_weights["backbone.bottom_up." + str(k)] = weights["model"][k]
|
|
return {"model": hrnet_weights}
|
|
else:
|
|
return weights
|
|
|
|
|
|
class DensePoseCheckpointer(DetectionCheckpointer):
|
|
"""
|
|
Same as :class:`DetectionCheckpointer`, but is able to handle HRNet weights
|
|
"""
|
|
|
|
def __init__(self, model, save_dir="", *, save_to_disk=None, **checkpointables):
|
|
super().__init__(model, save_dir, save_to_disk=save_to_disk, **checkpointables)
|
|
|
|
def _load_file(self, filename: str) -> object:
|
|
"""
|
|
Adding hrnet support
|
|
"""
|
|
weights = super()._load_file(filename)
|
|
return _rename_HRNet_weights(weights)
|
|
|