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    下面是一个人脸识别的完整例子，包括找脸、注册脸、识别脸等全过程。100行代码，其中自动生成代码60行，自己写的代码不到40行，搞定人脸识别。

    1. from cvs import *
    2. import facerecognition
    3. import numpy as np
    6. #这个类是界面类，是自动生成的代码，通过wizard工具自动生成。
    7. class MyApp(App):
    8.     def __init__(self, *args):
    9.         super(MyApp, self).__init__(*args)
    11.     def main(self):
    12.         #creating a container VBox type, vertical (you can use also HBox or Widget)
    13.         main_container = gui.VBox(width=360, height=680, style={'margin':'0px auto'})
    14.         #添加一个摄像头
    15.         self.aidcam = OpencvVideoWidget(self, width=340, height=480)
    16.         self.aidcam.style['margin'] = '10px'
    18.         self.aidcam.set_identifier("myimage_receiver")
    19.         main_container.append(self.aidcam)
    21.         #添加一个输入框
    22.         self.txt = gui.TextInput(width=200, height=30, margin='10px')
    23.         self.txt.set_text('usename')
    24.         #给输入框添加一个事件
    25.         self.txt.onchange.do(self.on_text_area_change)
    27.         #添加一个注册按钮
    28.         self.bt = gui.Button('Add Person!', width=200, height=30, margin='10px')
    29.         # setting the listener for the onclick event of the button
    30.         #给这个按钮添加一个事件
    31.         self.bt.onclick.do(self.on_button_pressed)
    33.         main_container.append(self.txt)
    34.         main_container.append(self.bt)
    36.         # returning the root widget
    37.         return main_container
    39.     def on_text_area_change(self, widget, newValue):
    40.         print('Text Area value changed!')    
    42.     def on_button_pressed(self, widget):
    44.         userId = self.txt.get_text()
    45.         cvs.setLbs(userId)
    47.         self.bt.set_text('success!')
    49. #这个是每一帧的处理函数        
    50. def process():
    52.     cap=cvs.VideoCapture(1)
    53.     #加载模型
    54.     facerecog = facerecognition.FaceRecognition("./models", 0.73)
    57.     while True:
    58.         sleep(30)
    59.         img =cap.read()
    61.         if img is None :
    62.             continue
    64.         image_char = img.astype(np.uint8).tostring()
    67.         userId=cvs.getLbs()
    69.         if userId!='':
    70.                 #注册一张人脸
    71.             ret=facerecog.add_person(userId, img.shape[0], img.shape[1], image_char)
    72.             if ret==0:
    73.                 print ('you add_person is success!')
    74.                 # cvs.setMsg_status(1)
    75.             else :
    76.                 print ('you add_person is failed!')
    78.             userId=''
    79.             cvs.setLbs(userId)
    80.             continue            
    82.         #识别一张脸
    83.         rets = facerecog.recognize(img.shape[0], img.shape[1], image_char)
    85.         #print 'rets:',rets
    86.         for ret  in  rets:
    87.             #for ret in each:
    88.             print ('draw bounding box for the face',ret)
    89.             rect = ret['rect']
    90.             p1 = (int(rect[0]), int(rect[1]))
    91.             p2 = (int(rect[0]+rect[2]), int(rect[1]+rect[2]))
    93.             #draw rect,names of faces
    94.             cv2.rectangle(img, p1,p2, (0, 255, 0) , 3, 1)
    95.             cv2.putText(img, ret['name'], (int(rect[0]), int(rect[1])-30),cv2.FONT_ITALIC, 2, (77, 255, 9), 2)
    97.         cvs.imshow(img)
    99. if __name__ == '__main__':
    101.     initcv(process)
    102.     startcv(MyApp)

    Aid内置了大量的AI深度学习的例子，请参考：
    image.png