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kivy and opencv work together demo
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# coding:utf-8 | |
from kivy.app import App | |
from kivy.uix.image import Image | |
from kivy.clock import Clock | |
from kivy.graphics.texture import Texture | |
import cv2 | |
class KivyCamera(Image): | |
def __init__(self, capture, fps, **kwargs): | |
super(KivyCamera, self).__init__(**kwargs) | |
self.capture = capture | |
Clock.schedule_interval(self.update, 1.0 / fps) | |
def update(self, dt): | |
ret, frame = self.capture.read() | |
if ret: | |
# convert it to texture | |
buf1 = cv2.flip(frame, 0) | |
buf = buf1.tostring() | |
image_texture = Texture.create( | |
size=(frame.shape[1], frame.shape[0]), colorfmt='bgr') | |
image_texture.blit_buffer(buf, colorfmt='bgr', bufferfmt='ubyte') | |
# display image from the texture | |
self.texture = image_texture | |
class CamApp(App): | |
def build(self): | |
self.capture = cv2.VideoCapture(1) | |
self.my_camera = KivyCamera(capture=self.capture, fps=30) | |
return self.my_camera | |
def on_stop(self): | |
#without this, app will not exit even if the window is closed | |
self.capture.release() | |
if __name__ == '__main__': | |
CamApp().run() |
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