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liveLabel2.py
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69 lines (57 loc) · 2.2 KB
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from PyQt5 import QtGui
from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QVBoxLayout
from PyQt5.QtGui import QPixmap
import sys
import cv2
from PyQt5.QtCore import pyqtSignal, pyqtSlot, Qt, QThread
import numpy as np
class VideoThread(QThread):
change_pixmap_signal = pyqtSignal(np.ndarray)
def run(self):
# capture from web cam
cap = cv2.VideoCapture(0)
while True:
ret, cv_img = cap.read()
if ret:
self.change_pixmap_signal.emit(cv_img)
class App(QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle("Qt live label demo")
self.disply_width = 640
self.display_height = 480
# create the label that holds the image
self.image_label = QLabel(self)
self.image_label.resize(self.disply_width, self.display_height)
# create a text label
self.textLabel = QLabel('Webcam')
# create a vertical box layout and add the two labels
vbox = QVBoxLayout()
vbox.addWidget(self.image_label)
vbox.addWidget(self.textLabel)
# set the vbox layout as the widgets layout
self.setLayout(vbox)
# create the video capture thread
self.thread = VideoThread()
# connect its signal to the update_image slot
self.thread.change_pixmap_signal.connect(self.update_image)
# start the thread
self.thread.start()
@pyqtSlot(np.ndarray)
def update_image(self, cv_img):
"""Updates the image_label with a new opencv image"""
qt_img = self.convert_cv_qt(cv_img)
self.image_label.setPixmap(qt_img)
def convert_cv_qt(self, cv_img):
"""Convert from an opencv image to QPixmap"""
rgb_image = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB)
h, w, ch = rgb_image.shape
bytes_per_line = ch * w
convert_to_Qt_format = QtGui.QImage(rgb_image.data, w, h, bytes_per_line, QtGui.QImage.Format_RGB888)
p = convert_to_Qt_format.scaled(self.disply_width, self.display_height, Qt.KeepAspectRatio)
return QPixmap.fromImage(p)
if __name__=="__main__":
app = QApplication(sys.argv)
a = App()
a.show()
sys.exit(app.exec_())