我有一个python文本，我想把它放在kivy的一个类中。然后我想将这个类用作函数并从另一个类调用它。我应该如何定义班级？我应该在括号class FaceGenerator()中写什么？
class FaceGenerator():
# open the camera and capture video
cam = cv2.VideoCapture(0)
face_detector =
cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
# Asking the user for an ID and Name
ID = raw_input('Please insert your ID number ')
Name= raw_input('Please insert your Name ')
sample_number = 0 # a counter that counts the number of pictures for
each person in the database
# detecting the face and draw rectangle on it
while (True):
retval,image = cam.read() # reading image from cam
print np.shape(image)
gray_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) # converting
image to gray image
faces = face_detector.detectMultiScale(gray_image,1.3,5)
''' detectMultiScale, detects objects of different sizes in the
input image.
the detected objects are returned as a list of rectangles
'''
for (x,y,w,h) in faces:
cv2.rectangle(image, (x,y), (x+w, y+h), (255,0,0), 2)
sample_number=sample_number+1
# saving the captured face in the facebase folder
cv2.imwrite('Trainer/User.'+ID+'.'+str(sample_number)+'.jpg',
gray_image[y:y+h,x:x+w])
# this loop drawing a rectabgle on the face while the cam is open
cv2.imshow('frame',image)
if cv2.waitKey(100) & 0xFF == ord('q'):
break
elif sample_number==20:
break
cam.release()
cv2.destroyAllWindows()
return Label(text = "Succesfully created trainning set")
答案 0 :(得分：0)
如果您想创建一个将object括在括号中的类 - ＆gt; class FaceGenerator(object):但在你的情况下，根本不需要课程，你正在寻找的是一个功能。如果我理解正确你只想在那个类上调用一个函数，那么你只能在第一个地方定义一个函数
以下是我认为你想做的事情的一种方式：
from kivy.app import App
from kivy.base import Builder
from kivy.properties import ObjectProperty
from kivy.uix.boxlayout import BoxLayout
def FaceGenerator():
#do your stuff
face = 'PalimPalim'
return face
Builder.load_string("""
<rootwi>:
label_to_be_changed: label_to_be_changed
orientation: 'vertical'
Button:
text:'klick me'
on_press: root.change_Label_text()
Label:
id: label_to_be_changed
""")
class rootwi(BoxLayout):
label_to_be_changed = ObjectProperty()
def change_Label_text(self):
temp_str = FaceGenerator()
self.label_to_be_changed.text = temp_str
class MyApp(App):
def build(self):
return rootwi()
if __name__ == '__main__':
MyApp().run()
更多信息
rootwi 答案 1 :(得分：0)
@PalimPalim我作为你上面的结构工作。我的代码就像这样 Python代码
import kivy
import cv2, os
import numpy as np
from PIL import Image
from kivy.app import App
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.uix.button import Button
from kivy.uix.widget import Widget
from kivy.uix.label import Label
from kivy.lang import Builder
from kivy.config import Config
Config.set('graphics', 'fullscreen', '0')
Config.set('graphics','show_cursor','1')
def FaceGenerator():
# open the camera and capture video
cam = cv2.VideoCapture(0)
face_detector =
cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
ID = 0
sample_number = 0 # a counter that counts the number of pictures for
each person in the database
# detecting the face and draw rectangle on it
while (True):
retval,image = cam.read() # reading image from cam
print np.shape(image)
gray_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) # converting
image to gray image
faces = face_detector.detectMultiScale(gray_image,1.3,5)
''' detectMultiScale, detects objects of different sizes in the
input image.
the detected objects are returned as a list of rectangles
'''
for (x,y,w,h) in faces:
cv2.rectangle(image, (x,y), (x+w, y+h), (255,0,0), 2)
sample_number=sample_number+1
# saving the captured face in the facebase folder
cv2.imwrite('Trainer/User.'+str(ID)+'.'+str(sample_number)+'.jpg',
gray_image[y:y+h,x:x+w])
# this loop drawing a rectabgle on the face while the cam is open
cv2.imshow('frame',image)
if cv2.waitKey(100) & 0xFF == ord('q'):
break
elif sample_number==20:
break
cam.release()
cv2.destroyAllWindows()
output = "Succesfully created trainning set"
return output
class ScreenOne(Screen):
pass
class ScreenTwo(Screen):
pass
class ScreenThree(Screen):
pass
class ScreenManagement(ScreenManager):
pass
sm = Builder.load_file("facerecognition.kv")
class FaceRecognitionApp(App):
def build(self):
return sm
if __name__=="__main__":
FaceRecognitionApp().run()
.KV文件是：
ScreenManagement:
id: screen_management
ScreenOne:
ScreenTwo:
ScreenThree:
<ScreenOne>:
name: "screen1"
id: screen_one
FloatLayout:
canvas.before:
Rectangle:
source: "image1.jpg"
pos:self.pos
size:self.size
Label:
text:"Hello\n Welcome to my App\n"
font_size:40
color: 0,0,0,1
Button:
text: 'Next'
font_size: 32 # font size
size_hint: .2,.1
pos_hint:{'right':1, 'y':0}
on_release: app.root.current="screen2"
<ScreenTwo>:
name: "screen2"
id: screen_two
FloatLayout:
canvas:
Rectangle:
source: "image1.jpg"
pos:self.pos
size:self.size
Label:
text:"Please insert your Name\n Please insert your Password\n"
font_size:40
color: 0,0,0,1
Button:
text: 'Next'
font_size: 32 # font size
size_hint: .2,.1
pos_hint:{'right':1, 'y':0}
on_release: app.root.current="screen3"
<ScreenThree>:
name: "screen3"
id: screen_three
FloatLayout:
canvas:
Rectangle:
source: "image1.jpg"
pos:self.pos
size:self.size
Button:
text: 'Next'
font_size: 32 # font size
size_hint: .2,.1
pos_hint:{'right':1, 'y':0}
on_release: app.root.current="screen1"
BoxLayout:
orientation: 'horizontal'
FaceGenerator()