Python实战：为人脸照片自动添加口罩（OpenCV/Dlib）

效果展示

数据集展示

数据集来源：使用了开源数据集FaceMask_CelebA

部分人脸数据集：

口罩样本数据集：

为人脸照片添加口罩代码

这部分有个库face_recognition需要安装，如果之前没有用过的小伙伴可能得费点功夫。

Face Recognition 库主要封装了dlib这一 C++ 图形库，通过 Python 语言将它封装为一个非常简单就可以实现人脸识别的 API 库， 屏蔽 了人脸识别的算法细节，大大降低了人脸识别功能的开发难度。

 #!/usr/bin/env python# -*- coding: utf-8 -*-# @Author : 2014Veeimport osimport numpy as npfrom PIL import Image, ImageFile __version__ = '0.3.0' IMAGE_DIR = os.path.dirname('E:/play/FaceMask_CelebA-master/facemask_image/')WHITE_IMAGE_PATH = os.path.join(IMAGE_DIR, 'front_14.png')BLUE_IMAGE_PATH = os.path.join(IMAGE_DIR, 'front_14.png')SAVE_PATH = os.path.dirname('E:/play/FaceMask_CelebA-master/save/synthesis/')SAVE_PATH2 = os.path.dirname('E:/play/FaceMask_CelebA-master/save/masks/')  class FaceMasker:    KEY_FACIAL_FEATURES = ('nose_bridge', 'chin')     def __init__(self, face_path, mask_path, white_mask_path, save_path, save_path2, model='hog'):        self.face_path = face_path        self.mask_path = mask_path        self.save_path = save_path        self.save_path2 = save_path2        self.white_mask_path = white_mask_path        self.model = model        self._face_img: ImageFile = None        self._black_face_img = None        self._mask_img: ImageFile = None        self._white_mask_img = None     def mask(self):        import face_recognition         face_image_np = face_recognition.load_image_file(self.face_path)        face_locations = face_recognition.face_locations(face_image_np, model=self.model)        face_landmarks = face_recognition.face_landmarks(face_image_np, face_locations)        self._face_img = I
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