在PyQT窗口中进行面部和情绪检测

Question

我有一个openCV面部识别脚本，该脚本可打开相机并检测面部并检测情​​绪。我想将此插入到我的PyQT创建的GUI的小部件中。

到目前为止，我的GUI如下所示：

标为Video的对象是我要插入OpenCV面部和情绪检测摄像头流的位置。标记为“情绪统计”的对象是我希望进行情绪表达统计的地方（它弹出一个单独的窗口）。

这是我独立的情感检测python代码：

face_detection = cv2.CascadeClassifier(detection_model_path)
emotion_classifier = load_model(emotion_model_path, compile=False)
EMOTIONS = ["angry" ,"disgust","scared", "happy", "sad", "surprised",
 "neutral"]


#feelings_faces = []
#for index, emotion in enumerate(EMOTIONS):
   # feelings_faces.append(cv2.imread('emojis/' + emotion + '.png', -1))

# starting video streaming
cv2.namedWindow('Expression')
camera = cv2.VideoCapture(0)
while True:
    frame = camera.read()[1]
    #reading the frame
    frame = imutils.resize(frame,width=800)
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_detection.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,minSize=(30,30),flags=cv2.CASCADE_SCALE_IMAGE)

    canvas = np.zeros((250, 300, 3), dtype="uint8")
    frameClone = frame.copy()
    if len(faces) > 0:
        faces = sorted(faces, reverse=True,
        key=lambda x: (x[2] - x[0]) * (x[3] - x[1]))[0]
        (fX, fY, fW, fH) = faces
                    # Extract the ROI of the face from the grayscale image, resize it to a fixed 28x28 pixels, and then prepare
            # the ROI for classification via the CNN
        roi = gray[fY:fY + fH, fX:fX + fW]
        roi = cv2.resize(roi, (64, 64))
        roi = roi.astype("float") / 255.0
        roi = img_to_array(roi)
        roi = np.expand_dims(roi, axis=0)


        preds = emotion_classifier.predict(roi)[0]
        emotion_probability = np.max(preds)
        label = EMOTIONS[preds.argmax()]


        for (i, (emotion, prob)) in enumerate(zip(EMOTIONS, preds)):
                # construct the label text
                text = "{}: {:.2f}%".format(emotion, prob * 100)

                # draw the label + probability bar on the canvas
               # emoji_face = feelings_faces[np.argmax(preds)]


                w = int(prob * 300)
                cv2.rectangle(canvas, (7, (i * 35) + 5),
                (w, (i * 35) + 35), (0, 0, 255), -1)
                cv2.putText(canvas, text, (10, (i * 35) + 23),
                cv2.FONT_HERSHEY_SIMPLEX, 0.45,
                (255, 255, 255), 2)
                cv2.putText(frameClone, label, (fX, fY - 10),
                cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
                cv2.rectangle(frameClone, (fX, fY), (fX + fW, fY + fH),

    cv2.imshow('Maverick A.I. Expression', frameClone)
    cv2.imshow("Emotional Probabilities", canvas)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

camera.release()
cv2.destroyAllWindows()

我很难理解如何将其翻译为PyQT，以便在PyQT生成的GUI中显示。

这是PyQT的python UI代码：

# -*- coding: utf-8 -*-    
from PyQt4 import QtCore, QtGui
try:
    _fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
    def _fromUtf8(s):
        return s

try:
    _encoding = QtGui.QApplication.UnicodeUTF8
    def _translate(context, text, disambig):
        return QtGui.QApplication.translate(context, text, disambig, _encoding)
except AttributeError:
    def _translate(context, text, disambig):
        return QtGui.QApplication.translate(context, text, disambig)

class Ui_MainWindow(object):
    def setupUi(self, MainWindow):
        MainWindow.setObjectName(_fromUtf8("MainWindow"))
        MainWindow.resize(1000, 647)
        self.centralwidget = QtGui.QWidget(MainWindow)
        self.centralwidget.setObjectName(_fromUtf8("centralwidget"))
        self.groupBox = QtGui.QGroupBox(self.centralwidget)
        self.groupBox.setGeometry(QtCore.QRect(0, 0, 691, 521))
        self.groupBox.setObjectName(_fromUtf8("groupBox"))
        self.ImgWidget = QtGui.QWidget(self.groupBox)
        self.ImgWidget.setGeometry(QtCore.QRect(0, 20, 671, 481))
        self.ImgWidget.setObjectName(_fromUtf8("ImgWidget"))
        self.startButton = QtGui.QPushButton(self.centralwidget)
        self.startButton.setGeometry(QtCore.QRect(0, 530, 671, 61))
        self.startButton.setObjectName(_fromUtf8("startButton"))
        self.groupBox_2 = QtGui.QGroupBox(self.centralwidget)
        self.groupBox_2.setGeometry(QtCore.QRect(690, 0, 301, 291))
        self.groupBox_2.setObjectName(_fromUtf8("groupBox_2"))
        self.listWidget = QtGui.QListWidget(self.groupBox_2)
        self.listWidget.setGeometry(QtCore.QRect(0, 20, 256, 192))
        self.listWidget.setObjectName(_fromUtf8("listWidget"))
        MainWindow.setCentralWidget(self.centralwidget)
        self.menubar = QtGui.QMenuBar(MainWindow)
        self.menubar.setGeometry(QtCore.QRect(0, 0, 1000, 25))
        self.menubar.setObjectName(_fromUtf8("menubar"))
        MainWindow.setMenuBar(self.menubar)
        self.statusbar = QtGui.QStatusBar(MainWindow)
        self.statusbar.setObjectName(_fromUtf8("statusbar"))
        MainWindow.setStatusBar(self.statusbar)

        self.retranslateUi(MainWindow)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)

    def retranslateUi(self, MainWindow):
        MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow", None))
        self.groupBox.setTitle(_translate("MainWindow", "Video", None))
        self.startButton.setText(_translate("MainWindow", "Start Scan", None))
        self.groupBox_2.setTitle(_translate("MainWindow", "Emotion Stats", None))


if __name__ == "__main__":
    import sys
    app = QtGui.QApplication(sys.argv)
    MainWindow = QtGui.QMainWindow()
    ui = Ui_MainWindow()
    ui.setupUi(MainWindow)
    MainWindow.show()
    sys.exit(app.exec_())

我需要一个简单的逐步帮助。如何在PyQT制作的GUI的视频小部件中显示面部和情绪检测视频流？