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QPIXMAP PYQT5 HOW TO
QPIXMAP PYQT5 CODE
QPIXMAP PYQT5 MAC

The problem with the first two methods overriding run() is only really useful for fire and forget type thread designs (such as reading an entire video file and then quitting). Your class will then run with an affinity to the new thread. Create a thread in the main App and use moveToThread() to move your class to the new thread.

QPIXMAP PYQT5 CODE

You could redesign the code so VideoThread no longer is a subclass of QThread, but QObject.

You could add a slot to VideoThread that takes the file name and change n() so that waits until the filename is set.

You could just wait for the QFileDialog() to return the file name before creating the Thread and then start it.

There are a few ways to do this, some better than others.

QPIXMAP PYQT5 HOW TO

do you know how to feed this path to be captured in the separate Qthread. Hi i take the video path input from QFileDialog() in the main GUI window. ndarray) def update_image( self, cv_img): """Sets run flag to False and waits for thread to finish""" self. To solve this we need to override App's closeEvent function and single to the thread to shut down.

QPIXMAP PYQT5 MAC

(On my mac this does not happen, but on my Linux machine it does). This is because the capture device has not been shutdown correctly. There might, however, be a error created when you close the app. This should now display live images for your webcam. Note, we send a numpy array using PyQt's signal slot mechanism to ensure thread saftey. shape bytes_per_line = ch * w convert_to_Qt_format = QtGui. """Convert from an opencv image to QPixmap""" rgb_image = cv2.

"""Updates the image_label with a new opencv image""" qt_img = self. # connect its signal to the update_image slot self. display_height = 480 # create the label that holds the image self. QtCore import pyqtSignal, pyqtSlot, Qt, QThread import numpy as np class VideoThread( QThread):Ĭhange_pixmap_signal = pyqtSignal( np. QtGui import QPixmap import sys import cv2 from PyQt5.

QtWidgets import QWidget, QApplication, QLabel, QVBoxLayout from PyQt5. Here is an exampleįrom PyQt5 import QtGui from PyQt5. To do this load the image with cv2.imread and then we convert this to a QPixmap and rescale. Well we could us Qt to load the image directly, but I want to do this with opencv so it can be integrated into a computer vision app. # set the image image to the grey pixmap self. # create a grey pixmap grey = QPixmap( width, height) # set the vbox layout as the widgets layout self. # create a vertical box layout and add the two labels vbox = QVBoxLayout() Width = 640 height = 480 # create the label that holds the image self. QtGui import QPixmap, QColor import sys class App( QWidget):