def init():
os.chdir(os.path.dirname(os.path.abspath(__file__)))
os.system("sudo alsactl --file data/conf/asound.state restore") # 加载音量设置
os.system("sudo amixer set Capture 70%") # 设置话筒
os.system("alsactl --file data/conf/asound.state restore") # 加载音量设置
os.system("amixer set Capture 70%") # 设置话筒
# 设定目录权限 特别是pi
os.system("sudo chmod -R 0777 data")
os.system("sudo chmod -R 0777 runtime")
os.system("sudo chmod -R 0777 /music/")
bak = "data/conf/configBAK.yaml"
cfg = "config.yaml"
if not os.path.exists(cfg) or os.path.getsize(cfg) < 10:
os.system('sudo cp -f %s %s ' % (bak, cfg))
os.system('sudo chown pi.pi %s' % cfg)
os.system('sudo chmod 0666 %s' % cfg)
print("修复配置文件 %s ,以前配置丢失。 " % cfg)
# 如果屏幕配置为不启动 则也不启动前端app
from package.mylib import mylib
mojing = mylib.getConfig()["LoadModular"]["Screen"]
if mojing is False:
global tasks
tasks = tasks[1:]
def main(self):
# 获取配置
if self.query['op'] == 'getconfig':
config_set = os.path.abspath('./data/conf/config_set.yaml')
conf_set = mylib.yamlLoad(config_set)
ret_arr = {
'code': 20000,
'message': '获取配置数据成功',
'data': {
'config': self.config,
'setconfig': conf_set
}
}
return json.dumps(ret_arr)
elif self.query['op'] == 'setconfig':
data = self.query['data']
data = json.loads(data)
conf_set = mylib.getConfig()
conf_set.update(data)
mylib.saveConfig(conf_set)
ret_arr = {
'code': 20000,
'message': '保存配置成功，您需要重启后生效！',
'data': {
'error': '0000'
}
}
return json.dumps(ret_arr)
def __init__(self):
self.faceconfig = mylib.getConfig()['ApiConfig']['FaceRecognition']
if self.faceconfig == 'Baidu':
from module.ImageRecognition.faceBaidu import faceBaidu
face = faceBaidu()
self.IsFace = face.IsFace
self.IsSameFace = face.IsSameFace
def IsFace(imgfile):
""" 人脸识别，文件imgfile是包含人脸图片吗? 是返回True 其它返回Flase 默认分值大于80才会返回True"""
with open(imgfile, 'rb') as f:
faceimg = base64.b64encode(f.read()).decode("utf-8")
BDAip = mylib.getConfig()['BDAip']
BDFace = face.AipFace(BDAip['APP_ID'], BDAip['API_KEY'], BDAip['SECRET_KEY'])
result = BDFace.detect(faceimg, 'BASE64')
if result and result['error_msg'] == 'SUCCESS':
return result['result']['face_list'][0]['face_probability'] >= 0.8
return False
def IsSameFace(img1, img2):
""" 人脸对比 文件img1,文件img2 是同一个人吗? 是返回True 其它返回 Flase """
BDAip = mylib.getConfig()['BDAip']
BDFace = face.AipFace(BDAip['APP_ID'], BDAip['API_KEY'], BDAip['SECRET_KEY'])
img1 = str(base64.b64encode(open(img1, 'rb').read()), 'utf-8')
img2 = str(base64.b64encode(open(img2, 'rb').read()), 'utf-8')
result = BDFace.match([
{'image': img1, 'image_type': 'BASE64'},
{'image': img2, 'image_type': 'BASE64'}])
if result and isinstance(result, dict) and 'result' in dict(result).keys():
return result['result']['score'] >= 80
return False
def showBindNav(self):
''' 显示用户绑定的二维码 '''
if self.netStatus and self.showBind:
self.config = mylib.getConfig()
if self.u_list is False:
clientid = self.config[
'httpapi'] + '/xiaocx/dev/' + self.config['MQTT'][
'clientid']
nav_json = {
"event": "open",
"size": {
"width": 380,
"height": 380
},
"url": "desktop/Public/bind_user.html?qr=" + clientid
}
data = {'type': 'nav', 'data': nav_json}
self.send(MsgType.Text, Receiver='Screen', Data=data)
self.showBind = False
def BDVoicerecognition(self, data):
BDAip = mylib.getConfig()['BDAip']
APP_ID = BDAip['APP_ID']
API_KEY = BDAip['API_KEY']
SECRET_KEY = BDAip['SECRET_KEY']
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
# client.setConnectionTimeoutInMillis = 5000 # 建立连接的超时毫秒
# client.setSocketTimeoutInMillis = 5000 # 传输数据超时毫秒
logging.info('语音识别...')
try:
bdResult = client.asr(speech=data, options={'dev_pid': 1536, 'cuid': VoiceRecognition.CUID})
except Exception as e:
logging.error('网络故障! %s' % e)
logging.debug('语音识别已返回')
text = ''
if bdResult['err_msg'] == 'success.': # 成功识别
for t in bdResult['result']:
text += t
logging.info(text)
return text
elif bdResult['err_no'] == 3301: # 音频质量过差
text = '我没有听清楚您说的话'
logging.info(text)
return
elif bdResult['err_no'] == 3302: # 鉴权失败
text = '鉴权失败，请与开发人员联系。'
logging.warning(text)
return
elif bdResult['err_no'] == 3304 or bdResult['err_no'] == 3305: # 请求超限
text = '请求超限，请与开发人员联系。'
logging.warning(text)
return
text = '语音识别错误,代码{}'.format(bdResult['err_no'])
logging.error(text)
def FromCaptureGetFaceImg(self, picfile, showFocus=False, timeOut=10):
""" 打开摄像头,拍摄一张人脸照片并保存到picfile
timeOut超时失败退出时间。默认10秒
参数showFocus显示聚焦框，并且只从聚焦框内取图
仅在注册时才需要置为True
返回值: 如果拍到人脸照片 并通过百度打分80以上则返回True 超时或失败返回False
"""
CAMERA = mylib.getConfig()['CAMERA']
if not CAMERA['enable']:
logging.warning("摄像头配置为不启用")
return False
cap = cv2.VideoCapture(0)
if not cap:
logging.error('没有摄像头')
return False
lastTime = time.time()
cv2.namedWindow(' ', cv2.WINDOW_AUTOSIZE)
# cv2.namedWindow(' ', cv2.WINDOW_NORMAL)
# cv2.setWindowProperty(' ',cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN) # 全屏
ret, frame = cap.read()
x, y = self.centerWindowPos(frame.shape[1], frame.shape[0])
cv2.moveWindow(' ', x, y) # 窗口居中
classfier = cv2.CascadeClassifier(
"data/opencv/haarcascade_frontalface_default.xml")
if classfier.empty():
logging.error('载入脸分类器失败')
return False
startTime = time.time()
while time.time() - startTime <= timeOut:
ret, frame = cap.read()
flip = int(CAMERA['flip'])
if flip >= 0:
cv2.flip(frame, flip, frame)
bakup = frame.copy()
if showFocus: # 显示一个聚焦框(320,320 )，并只从框内取图
Xstart = int((640 - 320) / 2)
Ystart = int((480 - 320) / 2)
Xend = Xstart + 320
Yend = Ystart + 320
(xsFocus, ysFocus) = (Xstart, Ystart)
cv2.rectangle(frame, (Xstart, Ystart), (Xend, Yend),
(0, 255, 0), 2)
grayImg = frame[Ystart:Yend, Xstart:Xend]
grayImg = cv2.cvtColor(grayImg, cv2.COLOR_BGR2GRAY)
else:
grayImg = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faceRects = classfier.detectMultiScale(grayImg,
scaleFactor=1.20,
minNeighbors=5,
minSize=(96, 96),
maxSize=(256, 256))
for faceRect in faceRects:
x, y, w, h = faceRect
if showFocus:
x += xsFocus
y += ysFocus
Xstart, Ystart = (x - 30, y - 30)
Xend, Yend = (x + w + 30, y + h + 30)
cv2.rectangle(frame, (Xstart, Ystart), (Xend, Yend),
(0, 0, 255), 1)
faceOnly = bakup[Ystart:Yend, Xstart:Xend]
# cv2.imshow('face only', faceOnly) #显示
cv2.imwrite(picfile, faceOnly)
if self.IsFace(picfile):
cap.release()
cv2.destroyAllWindows()
return True
fps = 'FPS:{}'.format(round(1 / (time.time() - lastTime)))
lastTime = time.time()
cv2.putText(frame, fps, (5, 25), cv2.FONT_HERSHEY_SIMPLEX, 1,
(0, 255, 255), 2)
cv2.imshow(' ', frame) # 显示每一帧
key = cv2.waitKey(1)
if key == 27: # 按ESC键退出。
break
cap.release()
cv2.destroyAllWindows()
return False
# -*- coding: UTF-8 -*-
import json
from package.model import model
from package.mylib import mylib
config = mylib.getConfig()
class data():
"""数据库接口"""
def __init__(self):
database = r'data/config.db'
self.db = model(database)
# 关闭数据库
def close(self):
self.db.close()
def search_list(self, lists, key):
for item in lists:
if item['id'] == key:
return item
return False
#获取用户列表数据
def user_list_get(self, field=True):
res = self.db.table('user_list').field(field).sel()
return res
#获取单个用户信息
