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from typing import Any, List, Callable |
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import roop.globals |
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import insightface |
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import cv2 |
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import numpy as np |
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from roop.typing import Face, Frame |
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from roop.utilities import resolve_relative_path |
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class FaceSwapInsightFace(): |
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model_swap_insightface = None |
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processorname = 'faceswap' |
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type = 'swap' |
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def Initialize(self, devicename): |
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if self.model_swap_insightface is None: |
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model_path = resolve_relative_path('../models/inswapper_128.onnx') |
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self.model_swap_insightface = insightface.model_zoo.get_model(model_path, providers=roop.globals.execution_providers) |
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def Run(self, source_face: Face, target_face: Face, temp_frame: Frame) -> Frame: |
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img_fake, M = self.model_swap_insightface.get(temp_frame, target_face, source_face, paste_back=False) |
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target_face.matrix = M |
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return img_fake |
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def Release(self): |
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del self.model_swap_insightface |
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self.model_swap_insightface = None |
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