PyQT5案例开发

def on_yolov8_track(self):
    image_file = self.image_file_edit.text()
    label_file = self.label_file_path.text()
    model_file = self.weight_file_path.text()
    if len(image_file) == 0 or len(label_file) == 0 or len(model_file) == 0:
        QtWidgets.QMessageBox.warning(self, "警告", "参数文件未选择...")
        return

    self.traffic_delta_label.setText("流量净值: 0")
    self.traffic_jam_label.setText("总流量: 0")
    self.input_traffic_label.setText("进流量: 0")
    self.output_traffic_label.setText("出流量: 0")

    settings = DLInferSettings()
    settings.weight_file_path = self.weight_file_path.text()
    settings.label_map_file_path = self.label_file_path.text()
    settings.score_threshold = self.conf_spinbox.value()
    settings.input_image = image_file
    settings.track_vehicle = self.vehicle_chkbox.isChecked()
    settings.track_person = self.person_chkbox.isChecked()
    settings.track_by_category_index = self.category_combox.currentIndex()
    settings.track_id = self.track_by_id_spin_box.value()
    settings.target_deploy = 1
    if self.hline_rbtn.isChecked():
        settings.track_line_type = 0
    if self.vline_rbtn.isChecked():
        settings.track_line_type = 1
    if self.diagonal_rbtn.isChecked():
        settings.track_line_type = 2

    self.work_thread = InferenceThread(settings)
    self.work_thread.fire_stats_signal.connect(self.on_update_result_image)
    self.work_thread.finished.connect(self.work_thread.deleteLater)
    self.work_thread.start()
    self.startBtn.setStyleSheet("background-color:gray; color: white")
    self.startBtn.setEnabled(False)
    self.stopBtn.setStyleSheet("background-color:cyan; color: black")
    self.stopBtn.setEnabled(True)

def on_update_result_image(self, outs):
    image = outs.get("result")
    done = outs.get("done")
    num_in = outs.get("num_in")
    num_out = outs.get("num_out")
    if image is not None:
        dst = cv.cvtColor(image, cv.COLOR_BGR2RGB)
        height, width, channel = dst.shape
        bytesPerLine = 3 * width
        img = QtGui.QImage(dst.data, width, height, bytesPerLine, QtGui.QImage.Format_RGB888)
        pixmap = QtGui.QPixmap(img)
        pix = pixmap.scaled(QtCore.QSize(1280, 720), QtCore.Qt.KeepAspectRatio)
        self.label.setPixmap(pix)
        self.show_text("OpenCV开发者联盟-跟踪演示")
        self.traffic_delta_label.setText("流量净值: %d" % (num_in - num_out))
        self.traffic_jam_label.setText("总流量: %d" % (num_in + num_out))
        self.input_traffic_label.setText("进流量: %d" % num_in)
        self.output_traffic_label.setText("出流量: %d" % num_out)
    if done is not None:
        self.stopBtn.setStyleSheet("background-color:gray; color: white")
        self.stopBtn.setEnabled(False)
        self.startBtn.setStyleSheet("background-color:cyan; color: black")
        self.startBtn.setEnabled(True)