无法从相机到 QML 的 stream 帧

Question

我正在使用 PyQT5。 我想使用 QQuickPaintedItem 将帧从 Opencv 发送到 QML。 我在这里写了一个示例实现。 我似乎无法找到为什么仅在加载应用程序时才调用一次绘制事件。 它仅从相机绘制一帧到 QML 组件，并且self.update()没有调用绘制事件。

from OpenGL import GL
from PyQt5.QtQuick import QQuickPaintedItem, QQuickView
from PyQt5.QtGui import QPainter, QPixmap, QImage
from PyQt5.QtQml import qmlRegisterType
import sys
from PyQt5.QtGui import QColor
from PyQt5.QtCore import QUrl,QObject,pyqtSignal
import cv2.cv2 as cv2
from PyQt5.QtWidgets import QApplication


class ImageWriter(QQuickPaintedItem):

    cam_frame = None

    def __init__(self, *args, **kwargs):
        super(ImageWriter, self).__init__(*args, **kwargs)        
        self.setRenderTarget(QQuickPaintedItem.FramebufferObject) 

    def paint(self, painter):
        print(ImageWriter.cam_frame)
        painter.drawPixmap(0,0,ImageWriter.cam_frame)

    def update_frame(self,frame):
        frame = cv2.resize(frame, (700, 500), cv2.INTER_AREA)
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
        frame = QImage(frame, frame.shape[1], frame.shape[0], 17)
        ImageWriter.cam_frame = QPixmap.fromImage(frame) 
        self.update()

def get_frames(app):
    cap = cv2.VideoCapture(0)
    num = 0
    imgw = ImageWriter()
    while True:
        while num != 30:
            _ , bgframe = cap.read()
            num += 1
        _ , frame = cap.read()
        imgw.update_frame(frame)            
        print("get frames") 
        app.processEvents()


if __name__ == '__main__':
    app = QApplication(sys.argv) 
    qmlRegisterType(ImageWriter, "imageWriter", 1, 0, "ImageWriter")
    view = QQuickView()
    view.setSource(QUrl('test.qml'))
    rootObject = view.rootObject()
    view.show()
    get_frames(app)
    sys.exit(app.exec_())

这是我为此编写的 QML，

import QtQuick 2.0
import imageWriter 1.0

Item {
    width: 800
    height: 600

    ImageWriter  {
        id : imageWriter
        width : 800
        height : 600
    }

}

我完全不明白为什么self.update()不调用绘画事件。 我不能使用 QWidgets，我必须使用它。 我在这里错过了什么吗？

Answer 1

该问题是由于有2个ImageWriter对象引起的，一个在imgw = ImageWriter()创建，另一个在QML中创建，您可以通过在.qml中的.py中添加打印内容来将其合并：

* .py

def get_frames(app):
    cap = cv2.VideoCapture(0)
    num = 0
    imgw = ImageWriter()
    print("Python:", imgw)
    ...

* .qml

...
Component.onCompleted: console.log("QML:", imageWriter)
...

输出：

qml: >>>> ImageWriter(0x55bf2927e770)
Python:  <__main__.ImageWriter object at 0x7fce8e4ff798>

如您所见，有2个对象指向不同的内存地址，因此可能的解决方案是使用此库创建一个单例：

from OpenGL import GL
import sys
from PyQt5 import QtCore, QtGui, QtQml, QtQuick
import cv2

try: from PyQt5.QtCore import pyqtWrapperType
except ImportError:
    from sip import wrappertype as pyqtWrapperType

class Singleton(pyqtWrapperType, type):
    def __init__(cls, name, bases, dict):
        super().__init__(name, bases, dict)
        cls.instance=None

    def __call__(cls,*args,**kw):
        if cls.instance is None:
            cls.instance=super().__call__(*args, **kw)
        return cls.instance


class ImageWriter(QtQuick.QQuickPaintedItem, metaclass=Singleton):

    def __init__(self, *args, **kwargs):
        super(ImageWriter, self).__init__(*args, **kwargs)        
        self.setRenderTarget(QtQuick.QQuickPaintedItem.FramebufferObject) 
        self.cam_frame = QtGui.QImage()

    def paint(self, painter):
        painter.drawImage(0, 0, self.cam_frame)

    def update_frame(self,frame):
        frame = cv2.resize(frame, (700, 500), cv2.INTER_AREA)
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
        frame = QtGui.QImage(frame, frame.shape[1], frame.shape[0], 17)
        self.cam_frame = frame.copy()
        self.update()

def get_frames(app):
    cap = cv2.VideoCapture(0)
    num = 0
    imgw = ImageWriter()
    while True:
        while num != 30:
            _ , bgframe = cap.read()
            num += 1
        ret, frame = cap.read()
        if ret:
            imgw.update_frame(frame)            
            #print("get frames") 
            app.processEvents()


if __name__ == '__main__':
    app = QtGui.QGuiApplication(sys.argv) 
    QtQml.qmlRegisterType(ImageWriter, "imageWriter", 1, 0, "ImageWriter")
    view = QtQuick.QQuickView()
    view.setSource(QtCore.QUrl('test.qml'))
    rootObject = view.rootObject()
    view.show()
    get_frames(app)
    sys.exit(app.exec_())

通过以上操作，我认为有更好的方法来获取图像，稍后，我将显示一个更好的选择。

---

以我以前的答案为基础，我创建了一个模块，该模块除了使用查看器之外，还使用opencv实现了相机的处理程序，以及一个允许添加滤镜的通用类，为此，该项目必须具有以下结构

├── main.py
├── main.qml
└── PyCVQML
    ├── cvcapture.py
    ├── cvitem.py
    └── __init__.py

PyCVQML / cvcapture.py

import numpy as np
import threading

import cv2

from PyQt5 import QtCore, QtGui, QtQml

gray_color_table = [QtGui.qRgb(i, i, i) for i in range(256)]


class CVAbstractFilter(QtCore.QObject):
    def process_image(self, src):
        dst = src
        return dst


class CVCapture(QtCore.QObject):
    started = QtCore.pyqtSignal()
    imageReady = QtCore.pyqtSignal()
    indexChanged = QtCore.pyqtSignal()

    def __init__(self, parent=None):
        super(CVCapture, self).__init__(parent)
        self._image = QtGui.QImage()
        self._index = 0

        self.m_videoCapture = cv2.VideoCapture()
        self.m_timer = QtCore.QBasicTimer()
        self.m_filters = []
        self.m_busy = False

    @QtCore.pyqtSlot()
    @QtCore.pyqtSlot(int)
    def start(self, *args):
        if args:
            self.setIndex(args[0])
        self.m_videoCapture.release()
        self.m_videoCapture = cv2.VideoCapture(self._index)
        if self.m_videoCapture.isOpened():
            self.m_timer.start(0, self)
            self.started.emit()

    @QtCore.pyqtSlot()
    def stop(self):
        self.m_timer.stop()

    def timerEvent(self, e):
        if e.timerId() != self.m_timer.timerId(): return
        ret, frame = self.m_videoCapture.read()
        if not ret:
            self.m_timer.stop()
            return
        if not self.m_busy:
            threading.Thread(target=self.process_image, args=(np.copy(frame),)).start()

    @QtCore.pyqtSlot(np.ndarray)
    def process_image(self, frame):
        self.m_busy = True
        for f in self.m_filters:
            frame = f.process_image(frame)
        image = CVCapture.ToQImage(frame)
        self.m_busy = False
        QtCore.QMetaObject.invokeMethod(self,
                                        "setImage",
                                        QtCore.Qt.QueuedConnection,
                                        QtCore.Q_ARG(QtGui.QImage, image))

    @staticmethod
    def ToQImage(im):
        if im is None:
            return QtGui.QImage()
        if im.dtype == np.uint8:
            if len(im.shape) == 2:
                qim = QtGui.QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QtGui.QImage.Format_Indexed8)
                qim.setColorTable(gray_color_table)
                return qim.copy()

            elif len(im.shape) == 3:
                if im.shape[2] == 3:
                    w, h, _ = im.shape
                    rgb_image = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)
                    flip_image = cv2.flip(rgb_image, 1)
                    qim = QtGui.QImage(flip_image.data, h, w, QtGui.QImage.Format_RGB888)
                    return qim.copy()
        return QtGui.QImage()

    def image(self):
        return self._image

    @QtCore.pyqtSlot(QtGui.QImage)
    def setImage(self, image):
        if self._image == image: return
        self._image = image
        self.imageReady.emit()

    def index(self):
        return self._index

    def setIndex(self, index):
        if self._index == index: return
        self._index = index
        self.indexChanged.emit()

    @QtCore.pyqtProperty(QtQml.QQmlListProperty)
    def filters(self):
        return QtQml.QQmlListProperty(CVAbstractFilter, self, self.m_filters)

    image = QtCore.pyqtProperty(QtGui.QImage, fget=image, notify=imageReady)
    index = QtCore.pyqtProperty(int, fget=index, fset=setIndex, notify=indexChanged)

PyCVQML / cvitem.py

from PyQt5 import QtCore, QtGui, QtQuick


class CVItem(QtQuick.QQuickPaintedItem):
    imageChanged = QtCore.pyqtSignal()

    def __init__(self, parent=None):
        super(CVItem, self).__init__(parent)
        # self.setRenderTarget(QtQuick.QQuickPaintedItem.FramebufferObject)
        self.m_image = QtGui.QImage()

    def paint(self, painter):
        if self.m_image.isNull(): return
        image = self.m_image.scaled(self.size().toSize())
        painter.drawImage(QtCore.QPoint(), image)

    def image(self):
        return self.m_image

    def setImage(self, image):
        if self.m_image == image: return
        self.m_image = image
        self.imageChanged.emit()
        self.update()

    image = QtCore.pyqtProperty(QtGui.QImage, fget=image, fset=setImage, notify=imageChanged)

PyCVQML / __ init__.py

from PyQt5 import QtQml

from .cvcapture import CVCapture, CVAbstractFilter
from .cvitem import CVItem


def registerTypes(uri = "PyCVQML"):
    QtQml.qmlRegisterType(CVCapture, uri, 1, 0, "CVCapture")
    QtQml.qmlRegisterType(CVItem, uri, 1, 0, "CVItem")

然后在main.py使用它，我添加了2个示例过滤器，因为此CVCapture具有filter属性，将过滤器传递给它，并且将按照建立的顺序执行它们。 要实现一个新的过滤器，您必须继承CVAbstractFilter并覆盖process_image()方法，该方法以np.ndarray接收图像，并应在过滤器之后返回结果。

main.py

import cv2
import numpy as np
from PyQt5 import QtGui, QtCore, QtQuick, QtQml
import PyCVQML


def max_rgb_filter(image):
    # split the image into its BGR components
    (B, G, R) = cv2.split(image)

    # find the maximum pixel intensity values for each
    # (x, y)-coordinate,, then set all pixel values less
    # than M to zero
    M = np.maximum(np.maximum(R, G), B)
    R[R < M] = 0
    G[G < M] = 0
    B[B < M] = 0

    # merge the channels back together and return the image
    return cv2.merge([B, G, R])


def rgb_to_gray(image):
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    return gray


class MaxRGBFilter(PyCVQML.CVAbstractFilter):
    def process_image(self, src):
        return max_rgb_filter(src)


class GrayFilter(PyCVQML.CVAbstractFilter):
    def process_image(self, src):
        return rgb_to_gray(src)


if __name__ == '__main__':
    import os
    import sys

    app = QtGui.QGuiApplication(sys.argv)

    PyCVQML.registerTypes()
    QtQml.qmlRegisterType(MaxRGBFilter, "Filters", 1, 0, "MaxRGBFilter")
    QtQml.qmlRegisterType(GrayFilter, "Filters", 1, 0, "GrayFilter")

    view = QtQuick.QQuickView()
    view.setTitle("PyCVQML Example")
    dir_path = os.path.dirname(os.path.realpath(__file__)
    view.setSource(QtCore.QUrl.fromLocalFile(QtCore.QDir(dir_path).absoluteFilePath("main.qml")))
    view.show()
    sys.exit(app.exec_())

main.qml

import QtQuick 2.0
import PyCVQML 1.0
import Filters 1.0

Item {
    width: 800
    height: 600

    CVItem  {
        id: imageWriter
        anchors.fill: parent
        image: capture.image
    }

    MaxRGBFilter{
        id: max_rgb_filter
    }
    GrayFilter{
        id: gray_filter
    }

    CVCapture{
        id: capture
        index: 0
        filters: [max_rgb_filter, gray_filter]
        Component.onCompleted: capture.start()
    }
}

Answer 2

你们太聪明了。 idk为什么我想不出这个的一半.. smh