├── PythonQtOpencv
├── .idea
│ ├── PythonQtOpencv.iml
│ ├── misc.xml
│ ├── modules.xml
│ └── workspace.xml
├── MyMatImage.py
├── MyWindow.py
├── PythonQtOpencvUI
├── PythonQtOpencvUI.py
├── __pycache__
│ ├── MyMatImage.cpython-36.pyc
│ ├── MyWindow.cpython-36.pyc
│ └── PythonQtOpencvUI.cpython-36.pyc
├── data
│ ├── at
│ │ ├── .directory
│ │ └── jm
│ │ │ ├── .directory
│ │ │ ├── 0.pgm
│ │ │ ├── 1.pgm
│ │ │ ├── 10.pgm
│ │ │ ├── 11.pgm
│ │ │ ├── 12.pgm
│ │ │ ├── 13.pgm
│ │ │ ├── 14.pgm
│ │ │ ├── 15.pgm
│ │ │ ├── 16.pgm
│ │ │ ├── 17.pgm
│ │ │ ├── 18.pgm
│ │ │ ├── 19.pgm
│ │ │ ├── 2.pgm
│ │ │ ├── 20.pgm
│ │ │ ├── 3.pgm
│ │ │ ├── 4.pgm
│ │ │ ├── 5.pgm
│ │ │ ├── 6.pgm
│ │ │ ├── 7.pgm
│ │ │ ├── 8.pgm
│ │ │ └── 9.pgm
│ └── images
│ │ ├── .directory
│ │ ├── aloeL.jpg
│ │ ├── aloeR.jpg
│ │ ├── aqualung.jpg
│ │ ├── barilla-pasta.jpg
│ │ ├── barilla_logo.png
│ │ ├── basil.jpg
│ │ ├── bathory_album.jpg
│ │ ├── bathory_vinyls.jpg
│ │ ├── bb.jpg
│ │ ├── beans.jpg
│ │ ├── car.jpg
│ │ ├── cars.jpg
│ │ ├── cars_small.jpg
│ │ ├── chess_board.png
│ │ ├── coat_of_arms.jpg
│ │ ├── coat_of_arms_single.jpg
│ │ ├── color1.jpg
│ │ ├── color1_small.jpg
│ │ ├── color2.jpg
│ │ ├── color2_small.jpg
│ │ ├── depth1.jpg
│ │ ├── depth2.jpg
│ │ ├── dice.jpg
│ │ ├── dis1.jpg
│ │ ├── dis2.jpg
│ │ ├── eight.jpg
│ │ ├── hamper.jpeg
│ │ ├── lindt_logo.jpg
│ │ ├── manowar_logo.png
│ │ ├── manowar_single.jpg
│ │ ├── match.png
│ │ ├── people.jpg
│ │ ├── saxon_eagle.jpg
│ │ ├── soth.jpg
│ │ ├── stacked.png
│ │ ├── stacked1.png
│ │ ├── stacked2.png
│ │ ├── statue.jpg
│ │ ├── statue_small.jpg
│ │ ├── test.jpg
│ │ ├── tortiglioni.jpg
│ │ ├── track.jpg
│ │ ├── track.png
│ │ ├── track_small.jpg
│ │ ├── varese.jpg
│ │ ├── vase1.jpg
│ │ ├── vase2.jpg
│ │ ├── vinyls.jpg
│ │ └── water_coins.jpg
└── main.py
└── README.md
/PythonQtOpencv/.idea/PythonQtOpencv.iml:
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/PythonQtOpencv/MyMatImage.py:
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1 | class MyMatImage(object):
2 | srcImage = []
3 | dstImage = []
4 | tempImage = []
5 | # srcImage，源文件，dstImage，目标文件，tempImage，临时文件
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/PythonQtOpencv/MyWindow.py:
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1 | import cv2
2 | from PyQt5 import QtCore, QtGui, QtWidgets
3 | from PyQt5.QtCore import *
4 | from PyQt5.QtWidgets import QFileDialog, QMessageBox, QDockWidget, QListWidget
5 | from PyQt5.QtGui import *
6 | import numpy as np
7 |
8 | from PythonQtOpencvUI import Ui_MainWindow # 导入创建的GUI类
9 | from MyMatImage import MyMatImage # 导入创建的GUI类
10 |
11 |
12 | class MyWindow(QtWidgets.QMainWindow, Ui_MainWindow, MyMatImage):
13 |
14 | def __init__(self):
15 | super(MyWindow, self).__init__()
16 | self.setupUi(self)
17 | self.actionOpenFile.triggered.connect(self.openFile)
18 | self.actionClear.triggered.connect(self.showFile)
19 |
20 | def openFile(self):
21 | fileName, filetype = QFileDialog.getOpenFileName(
22 | self,
23 | "选取文件",
24 | "C:/",
25 | "Image Files (*.bmp *.jpg *.jpeg *.png);;Text Files (*.txt)")
26 | # python 3.x 将系统字符编码默认为了Unicode，而opencv 读取图片函数的输入参数默认用gbk格式处理
27 | # srcImage = cv2.imdecode(np.fromfile(fileName, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
28 | # srcImage = cv2.imread(fileName)
29 |
30 | srcImage = cv2.imdecode(np.fromfile(fileName, dtype=np.uint8), -1)
31 | MyMatImage.srcImage = srcImage
32 | image_height, image_width, image_depth = srcImage.shape # 获取图像的高，宽以及深度。
33 | # opencv读图片是BGR，qt显示要RGB，所以需要转换一下
34 | QImg = cv2.cvtColor(srcImage, cv2.COLOR_BGR2RGB)
35 | QShowImage = QImage(QImg.data, image_width, image_height, # 创建QImage格式的图像，并读入图像信息
36 | image_width * image_depth,
37 | QImage.Format_RGB888)
38 | self.SourceImageLabel.clear()
39 | QShowImage = QShowImage.scaled(
40 | self.SourceImageLabel.width(),
41 | self.SourceImageLabel.height()) # 图片适应label大小
42 | self.SourceImageLabel.setPixmap(QPixmap.fromImage(QShowImage))
43 |
44 | def showFile(self):
45 | image_height, image_width, image_depth = MyMatImage.srcImage.shape # 获取图像的高，宽以及深度。
46 | # opencv读图片是BGR，qt显示要RGB，所以需要转换一下
47 | QImg = cv2.cvtColor(MyMatImage.srcImage, cv2.COLOR_BGR2RGB)
48 | QShowImage = QImage(QImg.data, image_width, image_height, # 创建QImage格式的图像，并读入图像信息
49 | image_width * image_depth,
50 | QImage.Format_RGB888)
51 | self.TargetImageLabel.clear()
52 | QShowImage = QShowImage.scaled(
53 | self.TargetImageLabel.width(),
54 | self.TargetImageLabel.height()) # 图片适应label大小
55 | self.TargetImageLabel.setPixmap(QPixmap.fromImage(QShowImage))
56 |
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/PythonQtOpencv/PythonQtOpencvUI:
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1 |
2 |
3 | MainWindow
4 |
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7 | 0
8 | 0
9 | 858
10 | 539
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14 | MainWindow
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20 | 10
21 | 10
22 | 401
23 | 361
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27 | TextLabel
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33 | 440
34 | 10
35 | 401
36 | 361
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40 | TextLabel
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67 | OpenFile
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72 | Recovery
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77 | Clear
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82 | Close
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/PythonQtOpencv/PythonQtOpencvUI.py:
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1 | # -*- coding: utf-8 -*-
2 |
3 | # Form implementation generated from reading ui file 'PythonQtOpencvUI'
4 | #
5 | # Created by: PyQt5 UI code generator 5.9.2
6 | #
7 | # WARNING! All changes made in this file will be lost!
8 |
9 | from PyQt5 import QtCore, QtGui, QtWidgets
10 |
11 | class Ui_MainWindow(object):
12 | def setupUi(self, MainWindow):
13 | MainWindow.setObjectName("MainWindow")
14 | MainWindow.resize(858, 539)
15 | self.centralwidget = QtWidgets.QWidget(MainWindow)
16 | self.centralwidget.setObjectName("centralwidget")
17 | self.SourceImageLabel = QtWidgets.QLabel(self.centralwidget)
18 | self.SourceImageLabel.setGeometry(QtCore.QRect(10, 10, 401, 361))
19 | self.SourceImageLabel.setObjectName("SourceImageLabel")
20 | self.TargetImageLabel = QtWidgets.QLabel(self.centralwidget)
21 | self.TargetImageLabel.setGeometry(QtCore.QRect(440, 10, 401, 361))
22 | self.TargetImageLabel.setObjectName("TargetImageLabel")
23 | MainWindow.setCentralWidget(self.centralwidget)
24 | self.menubar = QtWidgets.QMenuBar(MainWindow)
25 | self.menubar.setGeometry(QtCore.QRect(0, 0, 858, 23))
26 | self.menubar.setObjectName("menubar")
27 | self.Filemenu = QtWidgets.QMenu(self.menubar)
28 | self.Filemenu.setObjectName("Filemenu")
29 | MainWindow.setMenuBar(self.menubar)
30 | self.statusbar = QtWidgets.QStatusBar(MainWindow)
31 | self.statusbar.setObjectName("statusbar")
32 | MainWindow.setStatusBar(self.statusbar)
33 | self.actionOpenFile = QtWidgets.QAction(MainWindow)
34 | self.actionOpenFile.setObjectName("actionOpenFile")
35 | self.actionRecovery = QtWidgets.QAction(MainWindow)
36 | self.actionRecovery.setObjectName("actionRecovery")
37 | self.actionClear = QtWidgets.QAction(MainWindow)
38 | self.actionClear.setObjectName("actionClear")
39 | self.actionClose = QtWidgets.QAction(MainWindow)
40 | self.actionClose.setObjectName("actionClose")
41 | self.Filemenu.addAction(self.actionOpenFile)
42 | self.Filemenu.addAction(self.actionRecovery)
43 | self.Filemenu.addAction(self.actionClear)
44 | self.Filemenu.addAction(self.actionClose)
45 | self.menubar.addAction(self.Filemenu.menuAction())
46 |
47 | self.retranslateUi(MainWindow)
48 | QtCore.QMetaObject.connectSlotsByName(MainWindow)
49 |
50 | def retranslateUi(self, MainWindow):
51 | _translate = QtCore.QCoreApplication.translate
52 | MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
53 | self.SourceImageLabel.setText(_translate("MainWindow", "TextLabel"))
54 | self.TargetImageLabel.setText(_translate("MainWindow", "TextLabel"))
55 | self.Filemenu.setTitle(_translate("MainWindow", "文件"))
56 | self.actionOpenFile.setText(_translate("MainWindow", "OpenFile"))
57 | self.actionRecovery.setText(_translate("MainWindow", "Recovery"))
58 | self.actionClear.setText(_translate("MainWindow", "Clear"))
59 | self.actionClose.setText(_translate("MainWindow", "Close"))
60 |
61 |
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/PythonQtOpencv/main.py:
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1 | import sys
2 | from MyWindow import MyWindow # 导入创建的GUI类
3 | from PyQt5 import QtWidgets
4 |
5 | if __name__ == '__main__':
6 | app = QtWidgets.QApplication(sys.argv)
7 | window = MyWindow()
8 | window.show()
9 | sys.exit(app.exec_())
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/README.md:
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1 | # python-pyqt5-opencv
2 | 基于python和pyqt5，实现opencv图像处理，包含内容有基本的图像处理，人脸检测和识别，图像检索以及基于图像描述符的搜索，目标检测与识别，目标跟踪，opencv神经网络
3 |
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