24 lines
847 B
Python
24 lines
847 B
Python
# https://github.com/eladrich/pixel2style2pixel
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import torch
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from torch import nn
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from ldm.thirdp.psp.model_irse import Backbone
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class IDFeatures(nn.Module):
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def __init__(self, model_path):
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super(IDFeatures, self).__init__()
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print('Loading ResNet ArcFace')
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self.facenet = Backbone(input_size=112, num_layers=50, drop_ratio=0.6, mode='ir_se')
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self.facenet.load_state_dict(torch.load(model_path, map_location="cpu"))
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self.face_pool = torch.nn.AdaptiveAvgPool2d((112, 112))
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self.facenet.eval()
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def forward(self, x, crop=False):
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# Not sure of the image range here
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if crop:
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x = torch.nn.functional.interpolate(x, (256, 256), mode="area")
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x = x[:, :, 35:223, 32:220]
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x = self.face_pool(x)
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x_feats = self.facenet(x)
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return x_feats
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