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# coding: utf-8 | |
""" | |
Motion extractor(M), which directly predicts the canonical keypoints, head pose and expression deformation of the input image | |
""" | |
from torch import nn | |
import torch | |
from .convnextv2 import convnextv2_tiny | |
from .util import filter_state_dict | |
model_dict = { | |
'convnextv2_tiny': convnextv2_tiny, | |
} | |
class MotionExtractor(nn.Module): | |
def __init__(self, **kwargs): | |
super(MotionExtractor, self).__init__() | |
# default is convnextv2_base | |
backbone = kwargs.get('backbone', 'convnextv2_tiny') | |
self.detector = model_dict.get(backbone)(**kwargs) | |
def load_pretrained(self, init_path: str): | |
if init_path not in (None, ''): | |
state_dict = torch.load(init_path, map_location=lambda storage, loc: storage)['model'] | |
state_dict = filter_state_dict(state_dict, remove_name='head') | |
ret = self.detector.load_state_dict(state_dict, strict=False) | |
print(f'Load pretrained model from {init_path}, ret: {ret}') | |
def forward(self, x): | |
out = self.detector(x) | |
return out | |