kivy调用摄像头（未完）

安装

更新pip 工具为最新版，因为在国内这里使用了清华源

python -m pip install --upgrade pip wheel setuptools -i https://pypi.tuna.tsinghua.edu.cn/simple

安装基本依赖
i

python -m pip install docutils pygments pypiwin32 kivy.deps.sdl2 kivy.deps.glew -i https://pypi.tuna.tsinghua.edu.cn/simple

安装kivy

python -m pip install kivy -i https://pypi.tuna.tsinghua.edu.cn/simple -i https://pypi.tuna.tsinghua.edu.cn/simple

做一个小程序测试是否ok

import os
os.environ['KIVY_IMAGE'] = 'pil,sdl2'
from kivy.app import App
from kivy.uix.button import Button
class TestApp(App):
    def build(self):
        return Button(text='Hello World')
TestApp().run()

如果弹出对话框和按钮代表安装ok了

实验一

我做一个调试双目摄像头的小程序，内容很简单
1、在界面中两个图框能够同时实时显示L和R两个摄像头的画面
2、一个按键能够捕获两个摄像头当前帧图片并分别起名为test_lX，test_rX（X为顺序数字）保存在image文件夹中
3、能将每次捕获的图片显示在当前程序中
程序已打包成.exe 在我的下载中

界面

kivy中可以把界面和主程序写在一个py文件中也可以单独写一个ky文件，我们只有一个界面也就只用了一个kv文件

#:import Factory kivy.factory.Factory

MainScreen:
<MainScreen>:
    BoxLayout:
        canvas.before:
            Color:
                rgba: 255,240,245, 0
        GridLayout:
            rows:2
            BoxLayout:
                KivyCamera:
                    id:cv2cam_l
            BoxLayout:
                KivyCamera:
                    id:cv2cam_r
        BoxLayout:
            rows:3
            orientation: 'vertical'
            BoxLayout:
                Image:
                    id:image_l
                    text: 'left'
                Image:
                    id:image_r
                    text: 'right'
            BoxLayout:
                Button:
                    id:button2
            BoxLayout:
                Button:
                    id:button1
                    text: 'CAPTURE'

<MyPopup@Popup>:
    title: 'Test'
    size_hint: None, None
    size: 400, 400

界面是这样滴

摄像头驱动

class KivyCamera(Image):
    def __init__(self, **kwargs):
        super(KivyCamera, self).__init__(**kwargs)
        self.capture = None
        self.clock_event = None
    def start(self, capture, fps=30):
        self.capture = capture
        self.clock_event = Clock.schedule_interval(self.update, 1.0 / fps)
    def stop(self):
        Clock.unschedule(self.clock_event)
        if self.capture != None:
            self.capture.release()
    def update(self, dt):
        ret, frame = self.capture.read()
        if ret:
            # frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  # 彩色转灰度
            # convert it to texture
            buf1 = cv2.flip(frame, 0)
            buf = buf1.tostring()
            texture1 = Texture.create(size=(frame.shape[1], frame.shape[0]), colorfmt='bgr')
            texture1.blit_buffer(buf, colorfmt='bgr', bufferfmt='ubyte')
            self.texture = texture1

主程序

class MainScreen(BoxLayout):
    num = 0
    def dostart(self,*largs):
        self.capturel = cv2.VideoCapture(1)
        self.capturer = cv2.VideoCapture(2)
        self.ids.cv2cam_l.start(self.capturel)
        self.ids.cv2cam_r.start(self.capturer)
        self.ids.button1.bind(on_release=self.release)
        self.ids.button2.bind(on_release=self.press)
    def press(self,instance):
        self.ids.image_l.source = ''
        self.ids.image_r.source = ''
    def release(self,instance):
        img_l = self.ids.cv2cam_l.frame
        img_r = self.ids.cv2cam_r.frame
        cname_l = 'img/test_l'+str(self.num)+'.png'
        cname_r = 'img/test_r' + str(self.num) + '.png'
        cv2.imwrite(cname_l,img_l)
        cv2.imwrite(cname_r,img_r)
        self.ids.image_l.source = cname_l
        self.ids.image_r.source = cname_r
        self.num += 1

完成后是这样滴

实验二

使用opencv进行双目摄像头的标定

实验三

生成距离点云图

实验四

对特定物体进行检测，检测其长、宽、高并计算体积