---import cv2 import dlib import numpy as np import torch from transformers import pipeline
Carregar o detector de rostos
detector = dlib.get_frontal_face_detector() predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')
Função para detectar e alinhar rostos
def detect_and_align_face(image_path): img = cv2.imread(image_path) gray = cv2 license: apache-2.0
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from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Miguel46/Swap_face", set_active=True)