pyqt5优秀项目python_【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)

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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)

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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)

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Collecting click (from pyqt5-tools)

Downloading https://files.pythonhosted.org/packages/fa/37/45185cb5abbc30d7257104c434fe0b07e5a195a6847506c074527aa599ec/Click-7.0-py2.py3-none-any.whl (81kB)

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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)

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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：