(self)
| 83 | self.setText('已下载：{} %'.format(round(bytesRead / 64040097 * 100, 2))) |
| 84 | |
| 85 | def startCapture(self): |
| 86 | self.setText("请稍候，正在初始化数据和摄像头。。。") |
| 87 | try: |
| 88 | # 检测相关 |
| 89 | self.detector = dlib.get_frontal_face_detector() |
| 90 | self.predictor = dlib.shape_predictor( |
| 91 | "Data/shape_predictor_68_face_landmarks.dat") |
| 92 | cascade_fn = "Data/lbpcascades/lbpcascade_frontalface.xml" |
| 93 | self.cascade = cv2.CascadeClassifier(cascade_fn) |
| 94 | if not self.cascade: |
| 95 | return QMessageBox.critical(self, "错误", cascade_fn + " 无法找到") |
| 96 | self.cap = cv2.VideoCapture(0) |
| 97 | if not self.cap or not self.cap.isOpened(): |
| 98 | return QMessageBox.critical(self, "错误", "打开摄像头失败") |
| 99 | # 开启定时器定时捕获 |
| 100 | self.timer = QTimer(self, timeout=self.onCapture) |
| 101 | self.timer.start(1000 / self.fps) |
| 102 | except Exception as e: |
| 103 | QMessageBox.critical(self, "错误", str(e)) |
| 104 | |
| 105 | def closeEvent(self, event): |
| 106 | if hasattr(self, "_reply") and self._reply: |
no test coverage detected