Python 如何结合 OpenCV 和 PyQt 来创建一个简单的 GUI？
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How to combine OpenCV with PyQt to create a simple GUI?
提问by
I need to perform lot of operations on an image. So I used OpenCV. OpenCV is very efficient in image processing, however it is not too good to present a suitable GUI. So I decided to use PyQt to draw a custom GUI and OpenCV to process my image.
我需要对图像执行大量操作。所以我使用了 OpenCV。OpenCV 在图像处理方面非常高效，但是呈现合适的 GUI 并不太好。所以我决定使用 PyQt 绘制自定义 GUI 和 OpenCV 来处理我的图像。
I created a very simple program you directly picked from the documentation. I simply read a jpgpicture and save it in a pngformat by pressing the key s.
我创建了一个非常简单的程序，您可以直接从文档中选择。我只需读取一张jpg图片png并按 键将其保存为某种格式s。
My aim is to replace the key swith a button to press to perform the same action using PyQt. Also, I want the window displayed by PyQt to have the same behavior as OpenCV: mainly speaking, the function imshow()displays a window that fits to the image size.
我的目标是s使用 PyQt将按键替换为按下以执行相同操作的按钮。另外，我希望 PyQt 显示的窗口具有与 OpenCV 相同的行为：主要是该函数imshow()显示一个适合图像大小的窗口。
Here is my OpenCV simple code:
这是我的 OpenCV 简单代码：
import numpy
import cv2
class LoadImage:
def loadImage(self):
img = cv2.imread('photo.jpg')
cv2.imshow('Image on a window',img)
k = cv2.waitKey(0)
if k == 27:
cv2.destroyAllWindows()
elif k == ord('s'):
cv2.imwrite('photopng.png',img)
cv2.destroyAllWindows()
if __name__=="__main__":
LI=LoadImage()
LI.loadImage()
Output:
输出：
Here is a simple PyQt code to draw a simple window:
这是一个简单的 PyQt 代码来绘制一个简单的窗口：
import sys
from PyQt4 import QtGui
class DrawWindow:
def drawWindow(self):
app=QtGui.QApplication(sys.argv)
w=QtGui.QWidget()
#w.resize(250,250)
w.move(300,300)
w.setWindowTitle("Simple Window")
w.show()
sys.exit(app.exec_())
if __name__=="__main__":
DW=DrawWindow()
DW.drawWindow()
How can I mix the 2 codes to reach my goal?
我怎样才能混合这两个代码来达到我的目标？
回答by Cui Heng
Modified some code basing on your post, I didn't use the Opencv to render the image, instead using QPixmap to render it. then use KeyPressEvent to capture the user input .
根据你的帖子修改了一些代码，我没有使用Opencv来渲染图像，而是使用QPixmap来渲染它。然后使用 KeyPressEvent 来捕获用户输入。
# -*- coding: utf-8 -*-
import numpy
import cv2
from PyQt4.QtGui import *
from PyQt4.QtCore import *
class MyDialog(QDialog):
def __init__(self, parent=None):
super(MyDialog, self).__init__(parent)
self.cvImage = cv2.imread(r'cat.jpg')
height, width, byteValue = self.cvImage.shape
byteValue = byteValue * width
cv2.cvtColor(self.cvImage, cv2.COLOR_BGR2RGB, self.cvImage)
self.mQImage = QImage(self.cvImage, width, height, byteValue, QImage.Format_RGB888)
def paintEvent(self, QPaintEvent):
painter = QPainter()
painter.begin(self)
painter.drawImage(0, 0, self.mQImage)
painter.end()
def keyPressEvent(self, QKeyEvent):
super(MyDialog, self).keyPressEvent(QKeyEvent)
if 's' == QKeyEvent.text():
cv2.imwrite("cat2.png", self.cvImage)
else:
app.exit(1)
if __name__=="__main__":
import sys
app = QApplication(sys.argv)
w = MyDialog()
w.resize(600, 400)
w.show()
app.exec_()
回答by HelloGoodbye
You can create a QImagedirectly from the image data read by OpenCV, convert that to a QPixmapusing QPixmap.fromImageand then use that to set the pixmap of a QLabelusing the setPixmapmethod.
您可以QImage直接从 OpenCV 读取的图像数据中创建一个，将其转换为QPixmapusing QPixmap.fromImage，然后使用它来设置QLabelusingsetPixmap方法的像素图。
This page shows how to view a webcam feed by using PySide and OpenVC: https://gist.github.com/bsdnoobz/8464000. I made it work for videos as well, by commenting out these two lines
此页面显示了如何使用 PySide 和 OpenVC 查看网络摄像头提要：https://gist.github.com/bsdnoobz/8464000 。通过注释掉这两行，我也使它适用于视频
self.capture.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, self.video_size.width())
self.capture.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, self.video_size.height())
and instead using
而是使用
resized_bgr_frame = cv2.resize(
bgr_frame,
(self.video_size.width(), self.video_size.height()),
interpolation=cv2.INTER_CUBIC if self.video_size.width() > bgr_frame.shape[1] else cv2.INTER_AREA)
on the video frame (where bgr_frameis the frame that was obtained with self.capture.read()).
在视频帧上（bgr_frame用 获得的帧在哪里self.capture.read()）。
(Note that there is some different naming and namespace conventions for the OpenCV constants going on here, perhaps due to differing cv2versions?)
（请注意，此处进行的 OpenCV 常量有一些不同的命名和命名空间约定，可能是由于cv2版本不同？）
