import sys import cv2 from showPic import Ui_MainWindow from PyQt5 import QtGui from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * class videoShow(QMainWindow,Ui_MainWindow): def __init__(self): super().__init__() self.setupUi(self) @pyqtSlot() def on_pushButton_record_clicked(self): camera_path = 0 # 0：自带摄像头 1：外接摄像头 "xxx.mp4" "rtsp://admin:pwd@192.168.2.10/cam/..." capture = cv2.VideoCapture(camera_path) # 初始化播放器 流媒体 fourcc = cv2.VideoWriter_fourcc('M', 'P', '4', 'V') # XVID/DIVX MPEG MJPG X264 video_writer = cv2.VideoWriter("image/myself.mp4", fourcc, 25, (960, 540)) # 存放路径、、帧率fps、尺寸（且保证下面的frame也是这个尺寸） while True: flag, frame = capture.read() if flag is False: continue frame = cv2.resize(frame, (960, 540)) video_writer.write(frame) cv2.imshow("video", frame) key = cv2.waitKey(25) if key == 27: video_writer.release() break @pyqtSlot() def on_pushButton_play_clicked(self): video_path = "image/myself.mp4" # 已经录制好的视频路径 capture = cv2.VideoCapture(video_path) # 初始化播放器 while True: flag, frame = capture.read() if flag is False: break cv2.imshow("video", frame) key = cv2.waitKey(25) if key == 27: break capture.release() if __name__ == '__main__': app = QApplication(sys.argv) ui = videoShow() ui.show() sys.exit(app.exec_())将以上代码实现在pyqt5里的label框出现

要将视频显示在PyQt5的标签（QLabel）中，您可以使用Qt的图像处理类QImage和标签类QLabel结合使用。以下是修改后的代码示例：

import sys
import cv2

from showPic import Ui_MainWindow
from PyQt5 import QtGui
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *

class videoShow(QMainWindow,Ui_MainWindow):
    def __init__(self):
        super().__init__()
        self.setupUi(self)

    @pyqtSlot()
    def on_pushButton_record_clicked(self):
        camera_path = 0  # 0：自带摄像头   1：外接摄像头    "xxx.mp4"   "rtsp://admin:pwd@192.168.2.10/cam/..."
        capture = cv2.VideoCapture(camera_path)  # 初始化播放器  流媒体
        fourcc = cv2.VideoWriter_fourcc('M', 'P', '4', 'V')  # XVID/DIVX  MPEG  MJPG  X264
        video_writer = cv2.VideoWriter("image/myself.mp4", fourcc, 25, (960, 540))  # 存放路径、、帧率fps、尺寸（且保证下面的frame也是这个尺寸）
        while True:
            flag, frame = capture.read()
            if flag is False:
                continue
            frame = cv2.resize(frame, (960, 540))
            video_writer.write(frame)
            self.display_image(frame, self.label)  # 显示帧到标签
            key = cv2.waitKey(25)
            if key == 27:
                video_writer.release()
                break

    @pyqtSlot()
    def on_pushButton_play_clicked(self):
        video_path = "image/myself.mp4"  # 已经录制好的视频路径
        capture = cv2.VideoCapture(video_path)  # 初始化播放器
        while True:
            flag, frame = capture.read()
            if flag is False:
                break
            self.display_image(frame, self.label)  # 显示帧到标签
            key = cv2.waitKey(25)
            if key == 27:
                break
        capture.release()

    def display_image(self, frame, label):
        rgb_image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        h, w, ch = rgb_image.shape
        bytes_per_line = ch * w
        q_image = QImage(rgb_image.data, w, h, bytes_per_line, QImage.Format_RGB888)
        label.setPixmap(QtGui.QPixmap.fromImage(q_image))

if __name__ == '__main__':
    app = QApplication(sys.argv)
    ui = videoShow()
    ui.show()
    sys.exit(app.exec_())

在修改后的代码中，我们添加了一个名为`display_image`的辅助函数，用于将OpenCV的帧转换为Qt的图像格式，并显示到标签中。通过调用`display_image`函数，您可以在`on_pushButton_record_clicked`和`on_pushButton_play_clicked`函数中将帧显示到名为`label`的标签中。请确保在UI文件中存在一个名为`label`的标签。