将OpenCV网络摄像头集成到Kivy用户界面中 [英] Integrate OpenCV webcam into a Kivy user interface

问题描述

我当前的程序是Python，并使用OpenCV.我依靠网络摄像头捕获，并且正在处理捕获的每个帧:

My current program is in Python and uses OpenCV. I rely on webcam captures and I am processing every captured frame:

import cv2

# use the webcam
cap = cv2.VideoCapture(0)
while True:
    # read a frame from the webcam
    ret, img = cap.read()
    # transform image

我想创建一个带有按钮的Kivy界面(或另一个图形用户界面)，并保留网络摄像头捕获中已经存在的功能.

I would like to make a Kivy interface (or another graphical user interface) with buttons, keeping already existing functionality with webcam captures.

我发现了这个例子: https://kivy.org/docs/examples/gen__camera__main__py.html —但这并未说明如何获取网络摄像头图像以使用OpenCV对其进行处理.

I found this example: https://kivy.org/docs/examples/gen__camera__main__py.html — but it doesn’t explain how to acquire the webcam image to process it with OpenCV.

我找到了一个较旧的示例: http://thezestyblogfarmer.blogspot.it/2013/10 /kivy-python-script-for-capturing.html —使用"screenshot"功能将屏幕截图保存到磁盘.然后，我可以读取保存的文件并进行处理，但这似乎是不必要的步骤.

I found an older example: http://thezestyblogfarmer.blogspot.it/2013/10/kivy-python-script-for-capturing.html — it saves screenshots to disk using the ‘screenshot’ function. Then I can read the saved files and process them, but this seems to be an unnecessary step.

我还能尝试什么?

推荐答案

在此处找到此示例: https://groups.google.com/forum/#!topic/kivy-users/N18DmblNWb0

它将opencv捕获转换为kivy纹理，因此您可以在将其显示到kivy界面之前进行各种cv转换.

It converts the opencv captures to kivy textures, so you can do every kind of cv transformations before displaying it to your kivy interface.

__author__ = 'bunkus'
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

import cv2

class CamApp(App):

    def build(self):
        self.img1=Image()
        layout = BoxLayout()
        layout.add_widget(self.img1)
        #opencv2 stuffs
        self.capture = cv2.VideoCapture(0)
        cv2.namedWindow("CV2 Image")
        Clock.schedule_interval(self.update, 1.0/33.0)
        return layout

    def update(self, dt):
        # display image from cam in opencv window
        ret, frame = self.capture.read()
        cv2.imshow("CV2 Image", frame)
        # convert it to texture
        buf1 = cv2.flip(frame, 0)
        buf = buf1.tostring()
        texture1 = Texture.create(size=(frame.shape[1], frame.shape[0]), colorfmt='bgr') 
        #if working on RASPBERRY PI, use colorfmt='rgba' here instead, but stick with "bgr" in blit_buffer. 
        texture1.blit_buffer(buf, colorfmt='bgr', bufferfmt='ubyte')
        # display image from the texture
        self.img1.texture = texture1

if __name__ == '__main__':
    CamApp().run()
    cv2.destroyAllWindows()

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