Create face analyser and face swapper instance on demand
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@ -1,13 +1,20 @@
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import insightface
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import core.globals
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face_analyser = insightface.app.FaceAnalysis(name='buffalo_l', providers=core.globals.providers)
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face_analyser.prepare(ctx_id=0, det_size=(640, 640))
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FACE_ANALYSER = None
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def get_face_analyser():
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global FACE_ANALYSER
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if FACE_ANALYSER is None:
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FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=core.globals.providers)
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FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
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return FACE_ANALYSER
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def get_face(img_data):
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analysed = face_analyser.get(img_data)
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face = get_face_analyser().get(img_data)
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try:
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return sorted(analysed, key=lambda x: x.bbox[0])[0]
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return sorted(face, key=lambda x: x.bbox[0])[0]
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except IndexError:
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return None
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@ -1,11 +1,16 @@
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import os
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import cv2
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import insightface
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import core.globals
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from core.config import get_face
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from core.utils import rreplace
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face_swapper = insightface.model_zoo.get_model('inswapper_128.onnx', providers=core.globals.providers)
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FACE_SWAPPER = None
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def get_face_swapper():
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global FACE_SWAPPER
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if FACE_SWAPPER is None:
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FACE_SWAPPER = insightface.model_zoo.get_model('inswapper_128.onnx')
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return FACE_SWAPPER
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def process_video(source_img, frame_paths):
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@ -15,12 +20,13 @@ def process_video(source_img, frame_paths):
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try:
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face = get_face(frame)
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if face:
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result = face_swapper.get(frame, face, source_face, paste_back=True)
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result = get_face_swapper().get(frame, face, source_face, paste_back=True)
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cv2.imwrite(frame_path, result)
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print('.', end='', flush=True)
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else:
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print('S', end='', flush=True)
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except Exception as e:
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print(e, flush=True)
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print('E', end='', flush=True)
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pass
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