How to use Python+PyQt5 to create a self-made monitoring gadget

Using the image processing function of opencv, you can easily call the computer camera to achieve real-time image collection effect.

Finally save the picture and generate a historical video record of the surveillance.

pip install PyQt5

pip install python-opencv

If the relevant modules are not installed, you can choose the above pip method to install them.

Next we import the required python modules into the code block.

# It's just an alias for the cv2 module.
import cv2 as cv_

# It's importing all the classes from the QtGui module.
from PyQt5.QtGui import *

# It's importing all the classes from the QtCore module.
from PyQt5.QtCore import *

# It's importing all the classes from the QtWidgets module.
from PyQt5.QtWidgets import *

# It's importing the sys module.
import sys

# It's importing the os module.
import os

# It's importing the time module.
import time

# It's importing the traceback module.
import traceback

Create a python class named CameraUI and develop page components and layout related to monitoring tools.

Put the corresponding slot functions such as control buttons into this class.

class CameraUI(QWidget):
    def __init__(self):
        super(CameraUI, self).__init__()
        self.init_ui()

    def init_ui(self):
        self.setWindowTitle('本地监控工具 公众号：Python 集中营')
        self.setWindowIcon(QIcon('ico.png'))
        self.resize(600, 400)

        self.label_view = QLabel()

        self.image_path = QLineEdit()
        self.image_path.setReadOnly(True)
        self.image_path.setPlaceholderText('视频流图片保存地址')

        self.image_path_btn = QPushButton()
        self.image_path_btn.setText('打开')
        self.image_path_btn.clicked.connect(self.image_path_btn_clk)

        self.video_path = QLineEdit()
        self.video_path.setReadOnly(True)
        self.video_path.setPlaceholderText('监控视频保存地址')

        self.video_path_btn = QPushButton()
        self.video_path_btn.setText('打开')
        self.video_path_btn.clicked.connect(self.video_path_btn_clk)

        self.start_listen_btn = QPushButton()
        self.start_listen_btn.setText('开启监控')
        self.start_listen_btn.clicked.connect(self.start_listen_btn_clk)

        self.brower = QTextBrowser()
        self.brower.setReadOnly(True)
        self.brower.setFont(QFont('宋体', 8))
        self.brower.setPlaceholderText('日志处理过程区域...')
        self.brower.ensureCursorVisible()

        hbox = QHBoxLayout()
        vbox_left = QVBoxLayout()
        vbox_right = QVBoxLayout()

        vbox_left.addWidget(self.label_view)
        vbox_right_grid1 = QGridLayout()
        vbox_right_grid1.addWidget(self.image_path, 0, 0, 1, 2)
        vbox_right_grid1.addWidget(self.image_path_btn, 0, 2, 1, 1)
        vbox_right_grid1.addWidget(self.video_path, 1, 0, 1, 2)
        vbox_right_grid1.addWidget(self.video_path_btn, 1, 2, 1, 1)

        vbox_right_grid2 = QGridLayout()
        vbox_right_grid2.addWidget(self.brower, 0, 0, 1, 3)
        vbox_right_grid2.addWidget(self.start_listen_btn, 1, 0, 1, 3)

        vbox_right.addLayout(vbox_right_grid1)
        vbox_right.addLayout(vbox_right_grid2)

        hbox.addLayout(vbox_left)
        hbox.addLayout(vbox_right)

        self.listen_thread = ListenWorkThread(self)
        self.listen_thread.message.connect(self.show_message)
        self.listen_thread.finished.connect(lambda: self.start_listen_btn.setEnabled(True))

        self.setLayout(hbox)

    def show_message(self, text):
        cursor = self.brower.textCursor()
        cursor.movePosition(QTextCursor.End)
        self.brower.append(text)
        self.brower.setTextCursor(cursor)
        self.brower.ensureCursorVisible()

    def image_path_btn_clk(self):
        dir = QFileDialog.getExistingDirectory(self, "选择文件夹", os.getcwd())
        self.image_path.setText(dir)

    def video_path_btn_clk(self):
        dir = QFileDialog.getExistingDirectory(self, "选择文件夹", os.getcwd())
        self.video_path.setText(dir)

    def start_listen_btn_clk(self):
        self.listen_thread.start()

Develop a ListenWorkThread class and inherit the child thread of QThread.

Use this thread as a business class to achieve the effect of calling local cameras to complete monitoring.

class ListenWorkThread(QThread):
    message = pyqtSignal(str)
    finished = pyqtSignal(bool)

    def __init__(self, parent=None):
        super(ListenWorkThread, self).__init__(parent)
        self.parent = parent
        self.working = True

    def __del__(self):
        self.working = False

    def run(self):
        try:
            image_path = self.parent.image_path.text()
            video_path = self.parent.video_path.text()
            if image_path.strip() == '' or video_path.strip() == '':
                self.message.emit('相关路径设置不能为空，请检查设置！')
                return
            self.cap = cv_.VideoCapture(0)
            self.cap.set(3, 300)
            self.cap.set(4, 400)
            if self.cap.isOpened():
                self.message.emit('摄像头已成功打开！')
                n = 0
                self.message.emit('正在进行视频 监控中....')
                start_time = time.clock()
                while True:
                    ret, img = self.cap.read()
                    if os.path.exists(os.path.join(image_path, str(n) + '.jpg')):
                        os.remove(os.path.join(image_path, str(n) + '.jpg'))
                    self.save_image(img, str(n), image_path)
                    time.sleep(0.1)
                    pixmap_ = QPixmap(os.path.join(image_path, str(n) + '.jpg'))
                    self.parent.label_view.setPixmap(pixmap_)
                    n = n + 1

            self.finished.emit(True)
        except Exception as e:
            traceback.print_exc()
            self.message.emit('程序运行错误，请检查参数是否设置正确！')
            self.finished.emit(True)

    def save_image(self, image=None, file_name=None, image_path=None):
        if image is not None:
            cv_.imwrite(os.path.join(image_path, file_name + '.jpg'), image)

The above logic of the entire business sub-thread has been developed, and then the main function of the python module is used to call.

Add the running of the entire program to the main loop.

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

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