python 人脸检测与人脸识别

'''
安装库文件: pip install dlib face_recognition
'''import dlib
import face_recognition
import cv2
from PIL import Image, ImageDraw# 判断运行环境 cpu or gpu
def check_env():print(dlib.DLIB_USE_CUDA)print(dlib.cuda.get_num_devices())# 判断人脸在图片当中的位置
def get_face_location(image_flle):image_fr = face_recognition.load_image_file(image_flle)face_locations = face_recognition.face_locations(image_fr)print(face_locations)# 标记人脸的位置image_cv = cv2.imread(image_flle)for location in face_locations:y0, x1, y1, x0 = locationcv2.rectangle(image_cv,(x0,y0),(x1,y1),(0,0,255),4)cv2.imwrite(image_flle + '.new_image.jpg', image_cv)return face_locations# 提取人脸画面保存到本地
def extract_face(image_file):image_cv = cv2.imread(image_file)face_recognitions = get_face_location(image_file)for i, location in enumerate(face_recognitions):y0,x1,y1,x0 = locationface_image = image_cv[y0:y1,x0:x1]cv2.imwrite(f"{image_file}.face_{i}.jpg",face_image)# 把人脸信息编码为一个128维的向量
def encode_face(image_file):image_fr = face_recognition.load_image_file(image_file)face_recognitions = face_recognition.face_locations(image_fr)face_encodings = face_recognition.face_encodings(image_fr,face_recognitions)return face_encodings[0]# 判断2个人脸是否为同一个人
def compare_face(image_file1, image_file2):face_encoding1 = encode_face(image_file1)face_encoding2 = encode_face(image_file2)ret = face_recognition.compare_faces([face_encoding1],face_encoding2)return ret# 标记人脸局部和标识
def mark_face(image_file):image_fr = face_recognition.load_image_file(image_file)face_marks = face_recognition.face_landmarks(image_fr)image_pil = Image.fromarray(image_fr)image_draw = ImageDraw.Draw(image_pil)for face_mark in face_marks:for facial_feature in face_mark.keys():image_draw.line(face_mark[facial_feature],width=5)image_pil.save(f"{image_file}_face_mark.jpg")# 人脸补扮
def beautify_face(image_file):image_fr = face_recognition.load_image_file(image_file)face_marks = face_recognition.face_landmarks(image_fr)image_pil = Image.fromarray(image_fr)for i, face_mark in enumerate(face_marks):image_draw = ImageDraw.Draw(image_pil)# 眉毛image_draw.polygon(face_mark['left_eyebrow'],fill=(68,54,39,128))image_draw.polygon(face_mark['right_eyebrow'],fill=(68,54,39,128))image_draw.line(face_mark['left_eyebrow'],fill=(68,54,39,150),width=2)image_draw.line(face_mark['right_eyebrow'],fill=(68,54,39,150),width=2)# 嘴唇image_draw.polygon(face_mark['top_lip'],fill=(150,0,0,60))image_draw.polygon(face_mark['bottom_lip'],fill=(150,0,0,60))image_draw.line(face_mark['top_lip'],fill=(150,0,0,20),width=2)image_draw.line(face_mark['bottom_lip'],fill=(150,0,0,20),width=2)# 眼睛image_draw.polygon(face_mark['left_eye'],fill=(255,255,255,20))image_draw.polygon(face_mark['right_eye'],fill=(255,255,255,20))image_draw.line(face_mark['left_eye'] + [face_mark['left_eye'][0]],fill=(0,0,0,50),width=2)image_draw.line(face_mark['right_eye'] + [face_mark['right_eye'][0]],fill=(0,0,0,50),width=2)image_pil.save(f"{image_file}.beautify_face.png")def main():check_env()face_locations = get_face_location('1.webp')print(face_locations)extract_face('3.jpg')face_encodings = encode_face('1.webp.face_0.jpg')print(face_encodings)ret = compare_face('1.webp.face_1.jpg','3.jpg.face_1.jpg')print(ret)mark_face('1.webp')beautify_face('1.webp')if __name__=="__main__":main()