我們之前搞到了xml檔案，這裡不想多說咧，直接啪嗒啪嗒，上**
coding:utf-8
import sys
reload(sys)
sys.setdefaultencoding('utf8')
# __author__ = 'f s'
# __date__ = '2018/7/28'
# __desc__ = 人臉檢測小例子，以圓圈圈出人臉
#import cv2.cv as cv
import cv2
import numpy as np
import socket
import time
import sy
sfrom pil import image
from cv2 import videocapture
cap = cv2.videocapture(0)
bycap.set(3,320)# set width
cap.set(4,240)# set height
server_ip = "192.168.4.1"
server_port = 8888
print("starting socket: tcp...")
server_addr = (server_ip, server_port)
socket_tcp = socket.socket(socket.af_inet, socket.sock_stream)
print("starting socket: tcp...")
server_addr = (server_ip, server_port)
socket_tcp = socket.socket(socket.af_inet, socket.sock_stream)
# 待檢測的路徑
face_cascade = cv2.cascadeclassifier(r'/home/pi/desktop/opencv-master/data/haarcascades_cuda/haarcascade_frontalface_alt.xml')
signal_cascade = cv2.cascadeclassifier(r'/home/pi/desktop/cascade.xml')
while true:
try:
print("connecting to server @ %s:%d..." %(server_ip, server_port))
socket_tcp.connect(server_addr)
break
except exception:
print("can't connect to server, try it latter!")
time.sleep(1)
continue
print("receiving package...")
while (true) :
ret,frame = cap.read()
frame = cv2.flip(frame,-1)# flip camera vertically
gray=frame
#gray = cv2.cvtcolor(frame, cv2.color_bgr2gray)
# 探測中的人臉
faces = face_cascade.detectmultiscale(
gray,
scalefactor = 1.20,
minneighbors = 4,
minsize = (4,4),
flags = 0
)asigns = signal_cascade.detectmultiscale(
gray,
scalefactor = 1.20,
minneighbors = 4,
minsize = (4,4),
flags = 0
)if len(faces) > 0:
print "發現個人臉!".format(len(faces))
try:
if len(faces) == 1 : sa
socket_tcp.send("frolef")
elif len(faces) == 2 :
socket_tcp.send("backwa")
else :
print("wrongg")
time.sleep(1)
except exception:
socket_tcp.close()
socket_tcp = none
sys.exit(1)
if len(signs) > 0:
print "發現個signs!".format(len(signs))
try:
if len(signs) == 1 :
socket_tcp.send("threee")
else :
print("wrongg")
time.sleep(1)
except exception:
socket_tcp.close()
socket_tcp = none
sys.exit(1)
for(x,y,w,h) in faces:
# cv2.rectangle(gray,(x,y),(x+w,y+w),(0,255,0),2)
#if w > 50 and h > 50 :
cv2.circle(gray,((x+x+w)/2,(y+y+h)/2),w/2,(0,255,0),2)
print x,y,w,h
for(x,y,w,h) in signs:
# cv2.rectangle(gray,(x,y),(x+w,y+w),(0,255,0),2)
#if w > 50 and h > 50 :
cv2.circle(gray,((x+x+w)/2,(y+y+h)/2),w/2,(0,255,0),2)
print x,y,w,h
cv2.imshow("find faces!",gray)
k = cv2.waitkey(30)
if k ==27:# press 'esc' to quit
break
cap.release()
cv2.destroyallwindows()
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