总有些东西需要存

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# -*- coding:utf-8 -*-
import cv2
import threading
import face_recognition
import os
import sys
import ctypes

class watchdog(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
self.video_capture = cv2.VideoCapture(0)
self.jump = True
self.stop = True
# 已知人脸编码及名字
# biden_image = face_recognition.load_image_file("biden.jpg")
# biden_face_encoding = face_recognition.face_encodings(biden_image)[0]
self.known_face_encodings = []
self.known_face_names = []
self.dll = ctypes.WinDLL('user32.dll')
self.load_faces()

def run(self):
num = 0
while self.stop:
ret, frame = self.video_capture.read()
# 调整大小为1/4,加速人脸识别
small_frame = cv2.resize(frame,(0,0),fx=0.25,fy=0.25)
# 将图像从bgr颜色(opencv使用)转换为rgb颜色(face_recognition使用)
rgb_small_frame = small_frame[:,:,::-1]
if self.jump:
face_locations,face_names = self.face_detection(rgb_small_frame)
result_frame = self.result_processing(frame,face_locations,face_names)
if len(face_names) > 0:
for fn in face_names:
if fn == 'Who are you?':
num += 1
else:
num = 0
if num >= 10:
self.dll.LockWorkStation()
num = 0
# 跳一帧
self.jump = not self.jump
cv2.imshow('Video', result_frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
self.video_capture.release()
cv2.destroyAllWindows()

def load_faces(self):
"""
获取本地所有已存在人脸,一张图片一张脸,文件名称为姓名
"""
path = sys.path[0] + '/face/'
if not os.path.exists(path):
os.mkdir(path)
files = os.listdir(path)
for f in files:
fpath = path+f
if os.path.isfile(fpath):
if f[-3:].lower() == 'jpg' or f[-3:].lower() == 'jpeg':
biden_image = face_recognition.load_image_file(fpath)
biden_face_encoding = face_recognition.face_encodings(biden_image)[0]
self.known_face_encodings.append(biden_face_encoding)
self.known_face_names.append('.'.join(fpath.split('/')[-1].split('.')[:-1]))
pass

def face_detection(self,rgb_small_frame):
# 获取人脸位置及面部编码
face_locations = face_recognition.face_locations(rgb_small_frame)
face_encodings = face_recognition.face_encodings(rgb_small_frame,face_locations)

face_names = []
for face_encoding in face_encodings:
# 与已知面部编码匹配
matches = face_recognition.compare_faces(self.known_face_encodings,face_encoding)
name = 'Who are you?'
if True in matches:
first_match_index = matches.index(True)
name = self.known_face_names[first_match_index]
face_names.append(name)
return face_locations,face_names

def result_processing(self,frame,face_locations,face_names):
"""
结果处理
"""
for (top,right,bottom,left), name in zip(face_locations,face_names):
# 缩放面部位置,因为帧率在前面缩放了1/4
top *= 4
right *= 4
bottom *= 4
left *= 4
# 画一个方框
cv2.rectangle(frame,(left,top),(right,bottom),(0,0,255),2)
# 在底部画上名称
cv2.rectangle(frame,(left,bottom-35),(right,bottom),(0,0,255),cv2.FILLED)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(frame,name,(left + 6,bottom -6),font,1.0,(255,255,255),1)
return frame
if __name__ == '__main__':
wd = watchdog()
wd.start()
wd.join()
pass