在 kivy 中调用函数 python

Calling function in kivy python

下面的代码用于对象检测。我构建了代码并运行良好,但是当我将代码粘贴到 kivy python 时出现错误。

我在调用 kivy 外部的函数时出错 class。所以,请帮我解决这个错误。

并告诉我如何将函数调用到 运行 代码。

代码如下:

from __future__ import division
import kivy
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.image import Image
from kivy.clock import Clock
from kivy.graphics.texture import Texture
from kivy.uix.label import Label
import cv2
from matplotlib import pyplot as plt 
import numpy as np 
from math import cos, sin 

green = (0, 255, 0)

class face(App):

def show(self, image):
    #figure size in inches
    plt.figure(figsize=(10,10))
    plt.imshow(image, interpolation='nearest')

def overlay_mask(self, mask, image):
    #mask the mask rgb
    rgb_mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2RGB)

    img = cv2.addWeighted(rgb_mask, 0.5, image, 0.5, 0)
    return img

def find_biggest_contour(self, image):
    #copy image
    image = image.copy()
    contours, hierarchy = cv2.findContours(image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)

    #to find biggest contour
    contour_sizes = [(cv2.contourArea(contour), contour) for contour in contours]
    biggest_contour = max(contour_sizes, key=lambda x: x[0])[1]

    #return the biggest contour
    mask = np.zeros(image.shape, np.uint8)
    cv2.drawContours(mask, [biggest_contour], -1, 255, -1)
    return biggest_contour, mask

def circle_contour(self, image, contour):

    #bounding ellipse
    image_with_ellipse = image.copy()
    ellipse = cv2.fitEllipse(contour)
    #add it
    cv2.ellipse(image_with_ellipse, ellipse, green, 2, cv2.LINE_AA)
    return image_with_ellipse

def find_object(self, image):
    #RGB is red green blue
    #BGR is blue green red
    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    
    #to scale the image
    max_dimension = max(image.shape)
    scale = 700/max_dimension
    image = cv2.resize(image, None, fx=scale, fy=scale)

    #to clean the image 
    image_blur = cv2.GaussianBlur(image, (7,7), 0)
    image_blur_hsv = cv2.cvtColor(image_blur, cv2.COLOR_RGB2HSV)

    #defining the filters by color
    min_red = np.array([0,100, 80])
    max_red = np.array([10,256, 256])

    mask1 = cv2.inRange(image_blur_hsv, min_red, max_red)

    #filter by brightness
    min_red2 = np.array([170,100,80])
    max_red2 = np.array([100,256,256])

    mask2 = cv2.inRange(image_blur_hsv, min_red2, max_red2)

    mask = mask1 + mask2

    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (15,15))
    mask_closed = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
    mask_clean = cv2.morphologyEx(mask_closed, cv2.MORPH_OPEN, kernel)

    big_object_contour, mask_object = find_biggest_contour(mask_clean)

    overlay = overlay_mask(mask_clean, image)

    circled = circle_contour(overlay, big_object_contour)
    show(circled)

    #convert back to original color scheme
    bgr = cv2.cvtColor(circled, cv2.COLOR_RGB2BGR)
    return bgr
    
#to read the image
def call(self):
    image = cv2.imread('apple.jpeg')
    result = self.find_object(image)
    #write the new image
    cv2.imwrite('apple2.jpeg', result)

if __name__ == '__main__':
   face().run()
   #img = Image(source = "apple2.jpeg")
   #print(img)
   cv2.destroyAllWindows()

谢谢。

这是从 class

调用函数的方法

class答:

    def __init__(self):
         pass
    def x(self):
        print('x')

class乙:

    def __init__(self):
        A().x()