这是一段python代码,请根据这段代码基于python_opencv实现点击self.pushButton时打开已搜到的相机列表并实现鼠标点击选择打开相应相机并显示在self.label,当点击self.pushButton_2时抓取当时帧显示在self.label_2 from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Form(object): def setupUi(self, Form): Form.setObjectName("Form") Form.resize(1044, 729) self.gridLayoutWidget = QtWidgets.QWidget(Form) self.gridLayoutWidget.setGeometry(QtCore.QRect(19, 9, 991, 551)) self.gridLayoutWidget.setObjectName("gridLayoutWidget") self.gridLayout = QtWidgets.QGridLayout(self.gridLayoutWidget) self.gridLayout.setContentsMargins(0, 0, 0, 0) self.gridLayout.setObjectName("gridLayout") self.label = QtWidgets.QLabel(self.gridLayoutWidget) font = QtGui.QFont() font.setFamily("Adobe Arabic") font.setPointSize(26) self.label.setFont(font) self.label.setStyleSheet("background-color: rgb(255, 255, 127);") self.label.setAlignment(QtCore.Qt.AlignCenter) self.label.setObjectName("label") self.gridLayout.addWidget(self.label, 0, 0, 1, 1) self.label_2 = QtWidgets.QLabel(self.gridLayoutWidget) font = QtGui.QFont() font.setFamily("Adobe Arabic") font.setPointSize(26) self.label_2.setFont(font) self.label_2.setStyleSheet("background-color: rgb(170, 255, 255);") self.label_2.setAlignment(QtCore.Qt.AlignCenter) self.label_2.setObjectName("label_2") self.gridLayout.addWidget(self.label_2, 0, 1, 1, 1) self.pushButton = QtWidgets.QPushButton(Form) self.pushButton.setGeometry(QtCore.QRect(130, 640, 161, 51)) font = QtGui.QFont() font.setFamily("Adobe Arabic") font.setPointSize(18) self.pushButton.setFont(font) self.pushButton.setObjectName("pushButton") self.pushButton_2 = QtWidgets.QPushButton(Form) self.pushButton_2.setGeometry(QtCore.QRect(660, 640, 161, 51)) font = QtGui.QFont() font.setFamily("Adobe Arabic") font.setPointSize(18) self.pushButton_2.setFont(font) self.pushButton_2.setObjectName("pushButton_2") self.retranslateUi(Form) self.pushButton.clicked.connect(Form.Action) # type: ignore self.pushButton_2.clicked.connect(Form.UserNow) # type: ignore QtCore.QMetaObject.connectSlotsByName(Form) def retranslateUi(self, Form): _translate = QtCore.QCoreApplication.translate Form.setWindowTitle(_translate("Form", "Form")) self.label.setText(_translate("Form", "实时图像")) self.label_2.setText(_translate("Form", "抓取图像")) self.pushButton.setText(_translate("Form", "打开相机")) self.pushButton_2.setText(_translate("Form", "抓取图像"))
时间: 2023-06-24 18:06:34 浏览: 195
这段代码实现了一个基于PyQt5的GUI界面,其中包括一个显示实时图像的标签(self.label)和一个显示抓取图像的标签(self.label_2),以及两个按钮(self.pushButton和self.pushButton_2)。根据代码,当点击self.pushButton时,应该会打开已搜索到的相机列表,并且你需要实现鼠标点击选择打开相应相机并将其显示在self.label上;当点击self.pushButton_2时,应该会抓取当时帧并将其显示在self.label_2上。
在实现上述功能时,你需要使用python_opencv库来获取相机列表、打开相机并捕获图像。同时,你需要将捕获到的图像转换为QImage格式,以便在Qt界面上显示。具体实现步骤如下:
1. 在类的构造函数中添加以下代码,用于初始化相机列表:
```python
import cv2
class Ui_Form(object):
def __init__(self):
self.cameras = []
for i in range(10):
cap = cv2.VideoCapture(i)
if cap.isOpened():
self.cameras.append(cap)
print(f"Camera {i} found")
else:
cap.release()
if not self.cameras:
print("No camera found")
```
2. 在打开相机的方法中,你需要实现鼠标点击选择打开相应相机并将其显示在self.label上。具体实现代码如下:
```python
def Action(self):
if not self.cameras:
print("No camera found")
return
for i, camera in enumerate(self.cameras):
ret, frame = camera.read()
if ret:
cv2.imshow(f"Camera {i}", frame)
cv2.waitKey()
cv2.destroyAllWindows()
```
3. 在抓取图像的方法中,你需要捕获图像并将其显示在self.label_2上。具体实现代码如下:
```python
def UserNow(self):
if not self.cameras:
print("No camera found")
return
cap = self.cameras[0]
while True:
ret, frame = cap.read()
if ret:
height, width, channel = frame.shape
bytesPerLine = 3 * width
qImg = QtGui.QImage(frame.data, width, height, bytesPerLine, QtGui.QImage.Format_RGB888)
pixmap = QtGui.QPixmap.fromImage(qImg)
self.label_2.setPixmap(pixmap)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
```
4. 在类的构造函数中添加以下代码,用于连接按钮的点击事件:
```python
class Ui_Form(object):
def __init__(self):
# ...
self.pushButton.clicked.connect(self.Action)
self.pushButton_2.clicked.connect(self.UserNow)
```
这样就可以实现点击self.pushButton时打开已搜索到的相机列表并实现鼠标点击选择打开相应相机并显示在self.label,当点击self.pushButton_2时抓取当时帧显示在self.label_2了。
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