【计算机视觉】OpenCV篇(4) - Pycharm+PyQt5+Python小项目实战
1.下载安装
(1)Pycharm:下载链接
(2)推荐使用Qt Designer来设计界面,如果你装的是Anaconda的话,就已经自带了designer.exe,我这里使用的是Pycharm的虚拟环境,通过以下的方式安装:
(venv) G:\GitWorkspace\PycharmProjects\PythonStudy>pip install pyqt5 Collecting pyqt5 Downloading https://files.pythonhosted.org/packages/b2/87/219cd547c0deb902edd3fdbf1af01409f7f9d251344b9154d878203cf841/PyQt5-5.12.1-5.12.2-cp35.cp36.cp37.cp38-none-win_amd64.whl (47.4MB) 100% |████████████████████████████████| 47.4MB 40kB/s Collecting PyQt5_sip<4.20,>=4.19.14 (from pyqt5) Downloading https://files.pythonhosted.org/packages/ee/03/a11da2a5dd75b0ccd795ddbd944c18ce663ffb08d59a1e7f1ee5a597488c/PyQt5_sip-4.19.15-cp36-none-win_amd64.whl (51kB) 100% |████████████████████████████████| 61kB 35kB/s Installing collected packages: PyQt5-sip, pyqt5 Successfully installed PyQt5-sip-4.19.15 pyqt5-5.12.1 (venv) G:\GitWorkspace\PycharmProjects\PythonStudy>pip install pyqt5-tools Collecting pyqt5-tools Downloading https://files.pythonhosted.org/packages/21/ff/7578d6d124926ff6cd1ef13c8c095063ad4c3811f4506788a915607aee81/pyqt5_tools-5.11.3.1.4-cp37-none-win32.whl (47.9MB) 100% |████████████████████████████████| 47.9MB 275kB/s Collecting click (from pyqt5-tools) Downloading https://files.pythonhosted.org/packages/fa/37/45185cb5abbc30d7257104c434fe0b07e5a195a6847506c074527aa599ec/Click-7.0-py2.py3-none-any.whl (81kB) 100% |████████████████████████████████| 81kB 836kB/s Collecting pyqt5==5.11.3 (from pyqt5-tools) Downloading https://files.pythonhosted.org/packages/26/78/c215008e70982944272b6c329a76cc11259e7378a3e23418fbe0bd48de96/PyQt5-5.11.3-5.11.2-cp35.cp36.cp37.cp38-none-win32.whl (39.4MB) 100% |████████████████████████████████| 39.4MB 206kB/s Collecting python-dotenv (from pyqt5-tools) Downloading https://files.pythonhosted.org/packages/8c/14/501508b016e7b1ad0eb91bba581e66ad9bfc7c66fcacbb580eaf9bc38458/python_dotenv-0.10.1-py2.py3-none-any.whl Requirement already satisfied: PyQt5_sip<4.20,>=4.19.11 in c:\mzhu_working1023\python-workspace\study\venv\lib\site-packages (from pyqt5==5.11.3->pyqt5-tools) (4.19.15) Installing collected packages: click, pyqt5, python-dotenv, pyqt5-tools Found existing installation: PyQt5 5.12.1 Uninstalling PyQt5-5.12.1: Successfully uninstalled PyQt5-5.12.1 Successfully installed click-7.0 pyqt5-5.11.3 pyqt5-tools-5.11.3.1.4 python-dotenv-0.10.1
2.环境配置
在Pycharm中,点击File->Settings->Tools->External Tools点击+添加以下工具:
(1)qtdesinger
(2)pyuic5,这个是把qt的UI文件转换成.py文件的工具
(3)pyrcc, 这个是将资源文件如图片等转成python代码能识别的文件,这个参数基本和pyuic5的是一样的
这样就基本完成PYQT5在Pycharm环境中的配置:
3.测试
(这里拿一个OpenCV的小练习来测试一下------)
打开qtdesinger,新建一个窗体:
界面的左侧是Qt的常用控件”Widget Box”,右侧有一个控件属性窗口”Property Editor”,其余暂时用不到。本例中我们只用到了”Push Button”控件和”Label”控件:最上面的三个Label控件用于显示图片,可以在属性窗口调整它的大小,我们统一调整到150×150:
另外,控件上显示的文字”text”属性和控件的名字”objectName”属性需要修改,便于显示和代码调用:
点击Designer工具栏的”Edit Signals/Slots”按钮,进入槽函数编辑界面,点击旁边的”Edit Widgets”可以恢复正常视图:
然后点击按钮并拖动,当产生类似于电路中的接地符号时释放鼠标,在弹出的配置窗口中,可以看到左侧是按钮的常用事件,我们选择点击事件”clicked()”,然后添加一个名为”btnOpenCamera_Clicked()”的槽函数:
重复上面的步骤,给五个按钮添加五个槽函数,最终结果如下:
到此,我们就完成了界面设计的所有工作,按下Ctrl+S保存当前窗口为.ui文件。.ui文件其实是按照XML格式标记的内容,可以用文本编辑器将.ui文件打开看看。
UI文件转py代码
因为我们是用Designer工具设计出的界面,并不是用Python代码敲出来的,所以要想真正运行,需要使用pyuic5将ui文件转成py文件。pyuic5.exe默认在%\Scripts\下,比如我的是在:G:\GitWorkspace\PycharmProjects\PythonStudy\venv\Scripts\
打开cmd命令行,切换到ui文件的保存目录。Windows下有个小技巧,可以在目录的地址栏输入cmd,一步切换到当前目录. 然后执行这条指令:
pyuic5 -o mainForm.py pyqt_create_ui.ui
执行正常的话,就会生成mainForm.py文件,里面应该包含一个名为”Ui_MainWindow”的类。
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'pyqt_create_ui.ui' # # Created by: PyQt5 UI code generator 5.11.3 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(859, 474) self.centralwidget = QtWidgets.QWidget(MainWindow) self.centralwidget.setObjectName("centralwidget") self.btnOpenCamera = QtWidgets.QPushButton(self.centralwidget) self.btnOpenCamera.setGeometry(QtCore.QRect(60, 370, 100, 30)) self.btnOpenCamera.setObjectName("btnOpenCamera") self.btnCaptureImg = QtWidgets.QPushButton(self.centralwidget) self.btnCaptureImg.setGeometry(QtCore.QRect(220, 370, 100, 30)) self.btnCaptureImg.setObjectName("btnCaptureImg") self.btnOpenImg = QtWidgets.QPushButton(self.centralwidget) self.btnOpenImg.setGeometry(QtCore.QRect(370, 370, 93, 28)) self.btnOpenImg.setObjectName("btnOpenImg") self.btnGraying = QtWidgets.QPushButton(self.centralwidget) self.btnGraying.setGeometry(QtCore.QRect(520, 370, 100, 30)) self.btnGraying.setObjectName("btnGraying") self.btnThresholdSegment = QtWidgets.QPushButton(self.centralwidget) self.btnThresholdSegment.setGeometry(QtCore.QRect(670, 370, 150, 30)) self.btnThresholdSegment.setObjectName("btnThresholdSegment") self.labelCamera = QtWidgets.QLabel(self.centralwidget) self.labelCamera.setGeometry(QtCore.QRect(70, 100, 150, 150)) self.labelCamera.setObjectName("labelCamera") self.labelCapture = QtWidgets.QLabel(self.centralwidget) self.labelCapture.setGeometry(QtCore.QRect(330, 100, 150, 150)) self.labelCapture.setObjectName("labelCapture") self.labelResult = QtWidgets.QLabel(self.centralwidget) self.labelResult.setGeometry(QtCore.QRect(630, 100, 150, 150)) self.labelResult.setObjectName("labelResult") MainWindow.setCentralWidget(self.centralwidget) self.menubar = QtWidgets.QMenuBar(MainWindow) self.menubar.setGeometry(QtCore.QRect(0, 0, 859, 26)) self.menubar.setObjectName("menubar") MainWindow.setMenuBar(self.menubar) self.statusbar = QtWidgets.QStatusBar(MainWindow) self.statusbar.setObjectName("statusbar") MainWindow.setStatusBar(self.statusbar) self.retranslateUi(MainWindow) self.btnOpenCamera.clicked.connect(MainWindow.btnOpenCamera_Clicked) self.btnCaptureImg.clicked.connect(MainWindow.btnCaptureImg_Clicked) self.btnOpenImg.clicked.connect(MainWindow.btnOpenImg_Clicked) self.btnGraying.clicked.connect(MainWindow.btnGrayingImg_Clicked) self.btnThresholdSegment.clicked.connect(MainWindow.btnThresholdSegment_Clicked) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): _translate = QtCore.QCoreApplication.translate MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow")) self.btnOpenCamera.setText(_translate("MainWindow", "Open Camera")) self.btnCaptureImg.setText(_translate("MainWindow", "Capture Image")) self.btnOpenImg.setText(_translate("MainWindow", "Open Image")) self.btnGraying.setText(_translate("MainWindow", "Graying")) self.btnThresholdSegment.setText(_translate("MainWindow", "Threshold Segmentation")) self.labelCamera.setText(_translate("MainWindow", "Camera")) self.labelCapture.setText(_translate("MainWindow", "Captured Image")) self.labelResult.setText(_translate("MainWindow", "Result Image"))
[注:mainForm.py文件是根据ui文件生成的,也就是说重新生成会覆盖掉。所以为了使界面与逻辑分离,我们需要新建一个逻辑文件。]
在同一工作目录下新建一个”mainEntry.py”的文件,存放逻辑代码。
import sys import cv2 from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import QFileDialog, QMainWindow from mainForm import Ui_MainWindow class PyQtMainEntry(QMainWindow, Ui_MainWindow): def __init__(self): super().__init__() self.setupUi(self) self.camera = cv2.VideoCapture(1) # 0-调用笔记本内置摄像头,1-调用usb摄像头 self.is_camera_opened = False # 摄像头有没有打开标记 # 定时器:30ms捕获一帧 self._timer = QtCore.QTimer(self) self._timer.timeout.connect(self._queryFrame) self._timer.setInterval(30) def btnOpenCamera_Clicked(self): ''' 打开和关闭摄像头 ''' self.is_camera_opened = ~self.is_camera_opened if self.is_camera_opened: self.btnOpenCamera.setText("Close Camera") self._timer.start() else: self.btnOpenCamera.setText("Open Camera") self._timer.stop() def btnCaptureImg_Clicked(self): ''' 捕获图片 ''' # 摄像头未打开,不执行任何操作 if not self.is_camera_opened: return self.captured = self.frame # 后面这几行代码几乎都一样,可以尝试封装成一个函数 rows, cols, channels = self.captured.shape bytesPerLine = channels * cols # Qt显示图片时,需要先转换成QImgage类型 QImg = QImage(self.captured.data, cols, rows, bytesPerLine, QImage.Format_RGB888) self.labelCapture.setPixmap(QPixmap.fromImage(QImg).scaled( self.labelCapture.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation)) def btnOpenImg_Clicked(self): ''' 从本地读取图片 ''' # 打开文件选取对话框 filename, _ = QFileDialog.getOpenFileName(self, '打开图片') if filename: self.captured = cv2.imread(str(filename)) # OpenCV图像以BGR通道存储,显示时需要从BGR转到RGB self.captured = cv2.cvtColor(self.captured, cv2.COLOR_BGR2RGB) rows, cols, channels = self.captured.shape bytesPerLine = channels * cols QImg = QImage(self.captured.data, cols, rows, bytesPerLine, QImage.Format_RGB888) self.labelCapture.setPixmap(QPixmap.fromImage(QImg).scaled( self.labelCapture.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation)) def btnGrayingImg_Clicked(self): ''' 灰度化 ''' # 如果没有捕获图片,则不执行操作 if not hasattr(self, "captured"): return self.cpatured = cv2.cvtColor(self.captured, cv2.COLOR_RGB2GRAY) rows, columns = self.cpatured.shape bytesPerLine = columns # 灰度图是单通道,所以需要用Format_Indexed8 QImg = QImage(self.cpatured.data, columns, rows, bytesPerLine, QImage.Format_Indexed8) self.labelResult.setPixmap(QPixmap.fromImage(QImg).scaled( self.labelResult.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation)) def btnThresholdSegment_Clicked(self): ''' Otsu自动阈值分割 ''' if not hasattr(self, "captured"): return _, self.cpatured = cv2.threshold( self.cpatured, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) rows, columns = self.cpatured.shape bytesPerLine = columns # 阈值分割图也是单通道,也需要用Format_Indexed8 QImg = QImage(self.cpatured.data, columns, rows, bytesPerLine, QImage.Format_Indexed8) self.labelResult.setPixmap(QPixmap.fromImage(QImg).scaled( self.labelResult.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation)) @QtCore.pyqtSlot() def _queryFrame(self): ''' 循环捕获图片 ''' ret, self.frame = self.camera.read() img_rows, img_cols, channels = self.frame.shape bytesPerLine = channels * img_cols cv2.cvtColor(self.frame, cv2.COLOR_BGR2RGB, self.frame) QImg = QImage(self.frame.data, img_cols, img_rows, bytesPerLine, QImage.Format_RGB888) self.labelCamera.setPixmap(QPixmap.fromImage(QImg).scaled( self.labelCamera.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation)) if __name__ == "__main__": app = QtWidgets.QApplication(sys.argv) window = PyQtMainEntry() window.show() sys.exit(app.exec_())
运行结果:
参考文章:
http://ex2tron.wang/opencv-python-using-pyqt5-create-gui/#%E6%8C%91%E6%88%98%E5%86%85%E5%AE%B9