python+pyqt5识别程序（第一版）

main_window.py

'''
在这个例子中，我们演示了如何使用Opencv3和PyQt5创建简单的相机查看器
作者：Berrouba.A
最后编辑：2018年2月21日
'''
# 进口一些PyQt5模块
import sys
import numpy as np

# import some PyQt5 modules
from PyQt5.QtWidgets import QApplication
from PyQt5.QtWidgets import QWidget
from PyQt5.QtGui import QImage
from PyQt5.QtGui import QPixmap
from PyQt5.QtCore import QTimer

# import Opencv module
import cv2

from ui_main_window import *

class MainWindow(QWidget):
    # 类的构造函数
    def __init__(self):
        # 调用QWidget构造函数
        super().__init__()
        self.ui = Ui_Form()
        self.ui.setupUi(self)

        # 创建一个计时器
        self.timer = QTimer()
        # 设置control_bt回调点击功能
        self.timer.timeout.connect(self.viewCam)
        # 设置control_bt回调函数点击
        self.ui.control_bt.clicked.connect(self.controlTimer)

    # 视摄像头
    def viewCam(self):
        # 以BGR格式读取图像
        green_val = 114
        ret, image = self.cap.read()

        #cv2.imshow("original", image)  # 输出视频每一帧
        # 将这一帧图像BGR转换为HSV
        hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
        #cv2.imshow("original1", hsv)  # 输出视频每一帧

        # 这一帧图像限定在HSV蓝色的范围
        blue_lower = np.array([green_val - 10, 100, 100])
        blue_upper = np.array([green_val + 10, 255, 255])

        # 阈值HSV图像以仅获得所选颜色，将图像二值化
        # 就是将低于lower_red和高于upper_red的部分分别变成0，lower_red～upper_red之间的值变成255
        blue_mask = cv2.inRange(hsv, blue_lower, blue_upper)

        # Bitwise-AND屏蔽原始图像
        blue_res = cv2.bitwise_and(image, image, mask=blue_mask)

        # 结构元素
        kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))

        # 形态学结束
        blue_closing = cv2.morphologyEx(blue_res, cv2.MORPH_CLOSE, kernel)

        # 转换为黑白图像
        blue_gray = cv2.cvtColor(blue_closing, cv2.COLOR_BGR2GRAY)
        (thresh2, blue_bw) = cv2.threshold(blue_gray, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)

        # 计算像素变化
        blue_black = cv2.countNonZero(blue_bw)
        if blue_black > 18000:
            print("视频中有蓝色像素")
        else:
            print("无蓝色")

        # 显示结果帧
        #cv2.imshow('blue_quyu', blue_bw)


        # 将图像转换为RGB格式
        image = cv2.cvtColor(blue_bw, cv2.COLOR_BGR2RGB)#因为opencv是BGR而qt的顺序是RGB
        # 获得图像的相关信息
        height, width, channel = image.shape
        step = channel * width
        # 从图像创建QImage
        qImg = QImage(image.data, width, height, step, QImage.Format_RGB888)
        # 在img_label显示图像
        self.ui.image_label.setPixmap(QPixmap.fromImage(qImg))

    # 启动/停止计时器
    def controlTimer(self):
        # if如果计时器停止
        if not self.timer.isActive():
            # 创建视频拍摄
            self.cap = cv2.VideoCapture(0)
            # 启动定时器
            self.timer.start(20)
            # 更新control_bt文本
            self.ui.control_bt.setText("Stop")
        # if如果启动计时器
        else:
            # 停止计时器
            self.timer.stop()
            # 发布视频捕获
            self.cap.release()
            # 更新control_bt文本
            self.ui.control_bt.setText("Start")


if __name__ == '__main__':
    app = QApplication(sys.argv)

    # 创建并显示主窗口
    mainWindow = MainWindow()
    mainWindow.show()

    sys.exit(app.exec_())

ui_main_window.py

# -*- coding: utf-8 -*-

# Form implementation generated from reading ui file 'main_window.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!

from PyQt5 import QtCore, QtGui, QtWidgets

class Ui_Form(object):
    def setupUi(self, Form):
        Form.setObjectName("Form")
        Form.resize(525, 386)
        self.horizontalLayout = QtWidgets.QHBoxLayout(Form)
        self.horizontalLayout.setObjectName("horizontalLayout")
        self.verticalLayout = QtWidgets.QVBoxLayout()
        self.verticalLayout.setObjectName("verticalLayout")
        self.image_label = QtWidgets.QLabel(Form)
        self.image_label.setObjectName("image_label")
        self.verticalLayout.addWidget(self.image_label)
        self.control_bt = QtWidgets.QPushButton(Form)
        self.control_bt.setObjectName("control_bt")
        self.verticalLayout.addWidget(self.control_bt)
        self.horizontalLayout.addLayout(self.verticalLayout)

        self.retranslateUi(Form)
        QtCore.QMetaObject.connectSlotsByName(Form)

    def retranslateUi(self, Form):
        _translate = QtCore.QCoreApplication.translate
        Form.setWindowTitle(_translate("Form", "Cam view"))
        self.image_label.setText(_translate("Form", "TextLabel"))
        self.control_bt.setText(_translate("Form", "Start"))