问题遇到的现象和发生背景
问题相关代码,请勿粘贴截图
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 demo import Ui_MainWindow
class PyQtMainEntry(QMainWindow, Ui_MainWindow):
def init(self):
super().__init__()
self.setupUi(self)
self.camera = cv2.VideoCapture(0)
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 Button_OpenCamera_Clicked(self): #打开和关闭摄像头
self.is_camera_opened = ~self.is_camera_opened
if self.is_camera_opened:
self.Button_OpenCamera.setText("关闭摄像头")
self._timer.start()
else:
self.Button_OpenCamera.setText("打开摄像头")
self._timer.stop()
def Button_Capture_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.label_Capture.setPixmap(QPixmap.fromImage(QImg).scaled(self.label_Capture.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
def Button_ReadImage_Clicked(self):#从本地读取图片 文件路径不能有中文
# 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.label_Capture.setPixmap(QPixmap.fromImage(QImg).scaled(
self.label_Capture.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
def Button_Gray_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.label_Result.setPixmap(QPixmap.fromImage(QImg).scaled(
self.label_Result.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
def Button_Threshold_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.label_Result.setPixmap(QPixmap.fromImage(QImg).scaled(
self.label_Result.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
def Button_jisaun_Clicked(self):
if not hasattr(self, "captured"):
return
rows,columns = self.cpatured.shape
balack=0
white = 0
for i in range(rows):
for j in range(columns):
if self.cpatured[i, j] == 0:
balack += 1
else:
white += 1
rate = white/(rows*columns)
self.textBrowser.setText(rate,"占空比: round(rate*100,2)'%'" )
@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.label_Camera.setPixmap(QPixmap.fromImage(QImg).scaled(self.label_Camera.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
if name == "main":
app = QtWidgets.QApplication(sys.argv)
window = PyQtMainEntry()
window.show()
sys.exit(app.exec_())
运行结果及报错内容
我的解答思路和尝试过的方法
我想要达到的结果
在textBrowsert上显示计算结果
计算函数如下
def Button_jisaun_Clicked(self):
if not hasattr(self, "captured"):
return
rows,columns = self.cpatured.shape
balack=0
white = 0
for i in range(rows):
for j in range(columns):
if self.cpatured[i, j] == 0:
balack += 1
else:
white += 1
rate = white/(rowscolumns)
self.textBrowser.setText(rate,"占空比: round(rate100,2)'%'" )