mirror of
https://github.com/deepseek-ai/DreamCraft3D.git
synced 2025-02-23 06:18:56 -05:00
27 lines
885 B
Python
27 lines
885 B
Python
|
# https://github.com/eladrich/pixel2style2pixel
|
||
|
import torch
|
||
|
from torch import nn
|
||
|
|
||
|
from extern.ldm_zero123.thirdp.psp.model_irse import Backbone
|
||
|
|
||
|
|
||
|
class IDFeatures(nn.Module):
|
||
|
def __init__(self, model_path):
|
||
|
super(IDFeatures, self).__init__()
|
||
|
print("Loading ResNet ArcFace")
|
||
|
self.facenet = Backbone(
|
||
|
input_size=112, num_layers=50, drop_ratio=0.6, mode="ir_se"
|
||
|
)
|
||
|
self.facenet.load_state_dict(torch.load(model_path, map_location="cpu"))
|
||
|
self.face_pool = torch.nn.AdaptiveAvgPool2d((112, 112))
|
||
|
self.facenet.eval()
|
||
|
|
||
|
def forward(self, x, crop=False):
|
||
|
# Not sure of the image range here
|
||
|
if crop:
|
||
|
x = torch.nn.functional.interpolate(x, (256, 256), mode="area")
|
||
|
x = x[:, :, 35:223, 32:220]
|
||
|
x = self.face_pool(x)
|
||
|
x_feats = self.facenet(x)
|
||
|
return x_feats
|