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https://github.com/basler/pypylon
from PySide6.QtCore import QTimer
from PySide6.QtGui import QImage, QPixmap
from PySide6.QtWidgets import QApplication, QMainWindow, QLabel
import cv2
from pypylon import pylon
def configure_camera():
# Initialize the first available camera
camera = pylon.InstantCamera(pylon.TlFactory.GetInstance().CreateFirstDevice())
camera.Open()
# Set camera parameters
camera.StartGrabbing(pylon.GrabStrategy_LatestImageOnly)
return camera
camera = configure_camera()
app = QApplication([])
window = QMainWindow()
window.setWindowTitle("OpenCV + PyPylon")
window.setGeometry(100, 100, 800, 600)
label = QLabel(window)
label.setGeometry(0, 0, 800, 600)
window.show()
def update_image():
# Retrieve the next image from the camera
grab_result = camera.RetrieveResult(5000, pylon.TimeoutHandling_ThrowException)
if grab_result.GrabSucceeded():
# Convert the grabbed image to an OpenCV format
image = grab_result.Array
# Convert the OpenCV image to a QImage
height, width = image.shape
# convert grayscale image to rgb image
image = cv2.cvtColor(image, cv2.COLOR_GRAY2RGB)
bytes_per_line = 3*width
# Convert the OpenCV image to a QImage
q_image = QImage(
image.data, width, height, bytes_per_line, QImage.Format_RGB888
)
# Convert the QImage to QPixmap and display it in the label
pixmap = QPixmap.fromImage(q_image)
label.setPixmap(pixmap)
grab_result.Release()
timer = QTimer()
timer.timeout.connect(update_image)
timer.start(30) # Update the image every 30 milliseconds (adjust as needed)
app.exec()
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