### 使用 Python、PySide 和 OpenCV 实现图片和视频流显示 以下是使用 Python、PySide 和 OpenCV 编写一个可以显示图片和视频流的示例代码。此代码通过 PySide 创建一个 GUI 界面，并利用 OpenCV 读取图像或视频流，然后将其转换为 PyQt 的 QImage 格式以在 QLabel 上显示。 ```python import sys import cv2 from PySide6.QtCore import QTimer, Qt from PySide6.QtGui import QImage, QPixmap from PySide6.QtWidgets import QApplication, QLabel, QMainWindow, QVBoxLayout, QWidget, QPushButton class VideoStreamApp(QMainWindow): def __init__(self): super().__init__() self.setWindowTitle("Image and Video Stream Display") self.setGeometry(100, 100, 800, 600) # Central widget self.central_widget = QWidget() self.setCentralWidget(self.central_widget) # Layout self.layout = QVBoxLayout() self.central_widget.setLayout(self.layout) # Label to display image/video self.label = QLabel(self) self.label.setAlignment(Qt.AlignCenter) self.layout.addWidget(self.label) # Button to toggle video/image mode self.button = QPushButton("Start Video Stream", self) self.button.clicked.connect(self.toggle_mode) self.layout.addWidget(self.button) # Initialize camera self.cap = cv2.VideoCapture(0) # Use default camera self.timer = QTimer() self.timer.timeout.connect(self.update_frame) self.is_video_mode = False def update_frame(self): ret, frame = self.cap.read() if ret: rgb_image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) h, w, ch = rgb_image.shape bytes_per_line = ch * w convert_to_qt_format = QImage(rgb_image.data, w, h, bytes_per_line, QImage.Format_RGB888) p = convert_to_qt_format.scaled(800, 600, Qt.KeepAspectRatio) self.label.setPixmap(QPixmap.fromImage(p)) def toggle_mode(self): if not self.is_video_mode: self.timer.start(30) # Start timer with 30ms interval self.button.setText("Show Image") self.is_video_mode = True else: self.timer.stop() image_path = "image.jpg" # Replace with your image path img = cv2.imread(image_path) rgb_image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) h, w, ch = rgb_image.shape bytes_per_line = ch * w convert_to_qt_format = QImage(rgb_image.data, w, h, bytes_per_line, QImage.Format_RGB888) p = convert_to_qt_format.scaled(800, 600, Qt.KeepAspectRatio) self.label.setPixmap(QPixmap.fromImage(p)) self.button.setText("Start Video Stream") self.is_video_mode = False def closeEvent(self, event): self.cap.release() event.accept() if __name__ == "__main__": app = QApplication(sys.argv) window = VideoStreamApp() window.show() sys.exit(app.exec()) ``` #### 代码说明 - **QTimer**：用于周期性地从摄像头捕获帧并更新界面[^4]。 - **cv2.VideoCapture**：初始化摄像头或加载视频文件[^2]。 - **QImage 和 QPixmap**：将 OpenCV 图像数据转换为 PyQt 可用的格式[^4]。 - **toggle_mode**：切换显示模式，支持图片和视频流之间的切换。 ### 注意事项 确保安装了所需的库： ```bash pip install opencv-python pyside6 ```