PyQt - 拖放到不同的 QLabel 小部件
PyQt - Drag and Drop into Different QLabel Widgets
我正在使用 Windows、Python 3.6、OpenCV3 和 PyQt5。我有一个主 window,它有两个 QLabel 小部件(label1
和 label2
)。我想将不同的视频文件拖放到两个 QLabel 小部件中。我的脚本显示了两个视频文件中每一个的第一帧。
如果我将文件拖到label1
到label2
然后释放
鼠标,然后第一个视频帧显示在label1
(不是什么
我要)。
如果我将文件拖到label1
到label2
然后释放
鼠标,然后第一个视频帧显示在 label2
(所需
效果).
如果我将文件拖到label2
到label1
然后释放
鼠标,然后第一个视频帧显示在 label1
(期望
效果).
我希望在 label2
中显示视频,无论我将文件拖动到 周围 还是 到 label1
.建议?
import sys, cv2
from PyQt5.QtWidgets import QApplication, QLabel, QFrame, QMainWindow
from PyQt5.QtGui import QImage, QPixmap
from PyQt5.QtCore import Qt
class Example(QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.setGeometry(200, 300, 800, 600)
self.setAcceptDrops(True)
self.setMouseTracking(True)
self.label1 = QLabel(self)
self.label1.move(10, 10)
self.label1.resize(780, 280)
self.label1.setFrameShape(QFrame.Box)
self.label1.setAcceptDrops(True)
self.label2 = QLabel(self)
self.label2.move(10, 310)
self.label2.resize(780, 280)
self.label2.setFrameShape(QFrame.Box)
self.label2.setAcceptDrops(True)
self.label1.setText("Label 1")
self.label2.setText("Label 2")
self.show()
def dragEnterEvent(self, e):
if e.mimeData().hasUrls:
e.accept()
else:
e.ignore()
def dropEvent(self, e):
if e.mimeData().hasUrls:
e.accept()
for url in e.mimeData().urls():
if self.label1.underMouse():
fname = str(url.toLocalFile())
self.openFile1(fname)
elif self.label2.underMouse():
fname = str(url.toLocalFile())
self.openFile2(fname)
else:
e.ignore()
def openFile1(self, filename):
self.cap1 = cv2.VideoCapture(str(filename))
self.cap1.set(cv2.CAP_PROP_POS_FRAMES, 0)
width = self.cap1.get(cv2.CAP_PROP_FRAME_WIDTH)
height = self.cap1.get(cv2.CAP_PROP_FRAME_HEIGHT)
ret, frame = self.cap1.read()
if ret == True:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = QImage(frame, frame.shape[1], frame.shape[0], QImage.Format_RGB888)
pix = QPixmap.fromImage(img)
pix = self.scalePix(self.label1, pix, width, height)
self.label1.setPixmap(pix)
def openFile2(self, filename):
self.cap2 = cv2.VideoCapture(str(filename))
self.cap2.set(cv2.CAP_PROP_POS_FRAMES, 0)
width = self.cap2.get(cv2.CAP_PROP_FRAME_WIDTH)
height = self.cap2.get(cv2.CAP_PROP_FRAME_HEIGHT)
ret, frame = self.cap2.read()
if ret == True:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = QImage(frame, frame.shape[1], frame.shape[0], QImage.Format_RGB888)
pix = QPixmap.fromImage(img)
pix = self.scalePix(self.label1, pix, width, height)
self.label2.setPixmap(pix)
def scalePix(self, label, p, width, height):
window_width = label.width()
ratio = height / width
window_height = int(ratio * window_width)
window_height = label.height()
window_width = int(1 / ratio * window_height)
p = p.scaledToWidth(window_width, Qt.SmoothTransformation)
p = p.scaledToHeight(window_height, Qt.SmoothTransformation)
return p
if __name__ == '__main__':
app = QApplication(sys.argv)
ex = Example()
ex.show()
sys.exit(app.exec_())
文档表明 underMouse()
可能会在拖放过程中失败:
bool QWidget::underMouse() const
Returns true if the widget is under the mouse cursor; otherwise
returns false.
This value is not updated properly during drag and drop operations.
所以最好不要使用,相反我们可以创建一个实现拖放的自定义QLabel:
import sys, cv2
from PyQt5 import QtCore, QtGui, QtWidgets
class OpenCVLabel(QtWidgets.QLabel):
def __init__(self, *args, **kwargs):
super(OpenCVLabel, self).__init__(*args, **kwargs)
self.setFrameShape(QtWidgets.QFrame.Box)
self.setAcceptDrops(True)
def dragEnterEvent(self, e):
if e.mimeData().hasUrls():
e.accept()
else:
e.ignore()
def dropEvent(self, e):
if e.mimeData().hasUrls():
e.accept()
for url in e.mimeData().urls():
self.openFile(url.toLocalFile())
else:
e.ignore()
def openFile(self, filename):
cap = cv2.VideoCapture(str(filename))
cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
ret, frame = cap.read()
if ret:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = QtGui.QImage(frame, frame.shape[1], frame.shape[0], QtGui.QImage.Format_RGB888)
pix = QtGui.QPixmap.fromImage(img)
pix = pix.scaled(self.size(), QtCore.Qt.KeepAspectRatio, QtCore.Qt.SmoothTransformation)
self.setPixmap(pix)
class Example(QtWidgets.QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
label1 = OpenCVLabel("label1")
label2 = OpenCVLabel("label2")
central_widget = QtWidgets.QWidget()
self.setCentralWidget(central_widget)
lay = QtWidgets.QVBoxLayout(central_widget)
lay.addWidget(label1)
lay.addWidget(label2)
self.resize(780, 560)
if __name__ == '__main__':
app = QtWidgets.QApplication(sys.argv)
ex = Example()
ex.show()
sys.exit(app.exec_())
我正在使用 Windows、Python 3.6、OpenCV3 和 PyQt5。我有一个主 window,它有两个 QLabel 小部件(label1
和 label2
)。我想将不同的视频文件拖放到两个 QLabel 小部件中。我的脚本显示了两个视频文件中每一个的第一帧。
如果我将文件拖到
label1
到label2
然后释放 鼠标,然后第一个视频帧显示在label1
(不是什么 我要)。如果我将文件拖到
label1
到label2
然后释放 鼠标,然后第一个视频帧显示在label2
(所需 效果).如果我将文件拖到
label2
到label1
然后释放 鼠标,然后第一个视频帧显示在label1
(期望 效果).
我希望在 label2
中显示视频,无论我将文件拖动到 周围 还是 到 label1
.建议?
import sys, cv2
from PyQt5.QtWidgets import QApplication, QLabel, QFrame, QMainWindow
from PyQt5.QtGui import QImage, QPixmap
from PyQt5.QtCore import Qt
class Example(QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.setGeometry(200, 300, 800, 600)
self.setAcceptDrops(True)
self.setMouseTracking(True)
self.label1 = QLabel(self)
self.label1.move(10, 10)
self.label1.resize(780, 280)
self.label1.setFrameShape(QFrame.Box)
self.label1.setAcceptDrops(True)
self.label2 = QLabel(self)
self.label2.move(10, 310)
self.label2.resize(780, 280)
self.label2.setFrameShape(QFrame.Box)
self.label2.setAcceptDrops(True)
self.label1.setText("Label 1")
self.label2.setText("Label 2")
self.show()
def dragEnterEvent(self, e):
if e.mimeData().hasUrls:
e.accept()
else:
e.ignore()
def dropEvent(self, e):
if e.mimeData().hasUrls:
e.accept()
for url in e.mimeData().urls():
if self.label1.underMouse():
fname = str(url.toLocalFile())
self.openFile1(fname)
elif self.label2.underMouse():
fname = str(url.toLocalFile())
self.openFile2(fname)
else:
e.ignore()
def openFile1(self, filename):
self.cap1 = cv2.VideoCapture(str(filename))
self.cap1.set(cv2.CAP_PROP_POS_FRAMES, 0)
width = self.cap1.get(cv2.CAP_PROP_FRAME_WIDTH)
height = self.cap1.get(cv2.CAP_PROP_FRAME_HEIGHT)
ret, frame = self.cap1.read()
if ret == True:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = QImage(frame, frame.shape[1], frame.shape[0], QImage.Format_RGB888)
pix = QPixmap.fromImage(img)
pix = self.scalePix(self.label1, pix, width, height)
self.label1.setPixmap(pix)
def openFile2(self, filename):
self.cap2 = cv2.VideoCapture(str(filename))
self.cap2.set(cv2.CAP_PROP_POS_FRAMES, 0)
width = self.cap2.get(cv2.CAP_PROP_FRAME_WIDTH)
height = self.cap2.get(cv2.CAP_PROP_FRAME_HEIGHT)
ret, frame = self.cap2.read()
if ret == True:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = QImage(frame, frame.shape[1], frame.shape[0], QImage.Format_RGB888)
pix = QPixmap.fromImage(img)
pix = self.scalePix(self.label1, pix, width, height)
self.label2.setPixmap(pix)
def scalePix(self, label, p, width, height):
window_width = label.width()
ratio = height / width
window_height = int(ratio * window_width)
window_height = label.height()
window_width = int(1 / ratio * window_height)
p = p.scaledToWidth(window_width, Qt.SmoothTransformation)
p = p.scaledToHeight(window_height, Qt.SmoothTransformation)
return p
if __name__ == '__main__':
app = QApplication(sys.argv)
ex = Example()
ex.show()
sys.exit(app.exec_())
文档表明 underMouse()
可能会在拖放过程中失败:
bool QWidget::underMouse() const
Returns true if the widget is under the mouse cursor; otherwise returns false.
This value is not updated properly during drag and drop operations.
所以最好不要使用,相反我们可以创建一个实现拖放的自定义QLabel:
import sys, cv2
from PyQt5 import QtCore, QtGui, QtWidgets
class OpenCVLabel(QtWidgets.QLabel):
def __init__(self, *args, **kwargs):
super(OpenCVLabel, self).__init__(*args, **kwargs)
self.setFrameShape(QtWidgets.QFrame.Box)
self.setAcceptDrops(True)
def dragEnterEvent(self, e):
if e.mimeData().hasUrls():
e.accept()
else:
e.ignore()
def dropEvent(self, e):
if e.mimeData().hasUrls():
e.accept()
for url in e.mimeData().urls():
self.openFile(url.toLocalFile())
else:
e.ignore()
def openFile(self, filename):
cap = cv2.VideoCapture(str(filename))
cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
ret, frame = cap.read()
if ret:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = QtGui.QImage(frame, frame.shape[1], frame.shape[0], QtGui.QImage.Format_RGB888)
pix = QtGui.QPixmap.fromImage(img)
pix = pix.scaled(self.size(), QtCore.Qt.KeepAspectRatio, QtCore.Qt.SmoothTransformation)
self.setPixmap(pix)
class Example(QtWidgets.QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
label1 = OpenCVLabel("label1")
label2 = OpenCVLabel("label2")
central_widget = QtWidgets.QWidget()
self.setCentralWidget(central_widget)
lay = QtWidgets.QVBoxLayout(central_widget)
lay.addWidget(label1)
lay.addWidget(label2)
self.resize(780, 560)
if __name__ == '__main__':
app = QtWidgets.QApplication(sys.argv)
ex = Example()
ex.show()
sys.exit(app.exec_())