class UI_Window(QWidget):
def __init__(self):
QWidget.__init__(self)
# The default barcode image.
dir_path = os.path.dirname(os.path.realpath(__file__))
filename = os.path.join(dir_path, 'image.tif')
# Create a timer.
self.timer = QTimer()
self.timer.timeout.connect(self.nextFrameSlot)
# Create a layout.
layout = QVBoxLayout()
# Add a button
self.btn = QPushButton("Load an image")
self.btn.clicked.connect(self.pickFile)
layout.addWidget(self.btn)
# Add a button
button_layout = QHBoxLayout()
btnCamera = QPushButton("Open camera")
btnCamera.clicked.connect(self.openCamera)
button_layout.addWidget(btnCamera)
btnCamera = QPushButton("Stop camera")
btnCamera.clicked.connect(self.stopCamera)
button_layout.addWidget(btnCamera)
layout.addLayout(button_layout)
# Add a label
self.label = QLabel()
self.label.setFixedSize(640, 640)
pixmap = self.resizeImage(filename)
self.label.setPixmap(pixmap)
layout.addWidget(self.label)
# Add a text area
self.results = QTextEdit()
self.readBarcode(filename)
layout.addWidget(self.results)
# Set the layout
self.setLayout(layout)
self.setWindowTitle("Dynamsoft Barcode Reader")
self.setFixedSize(800, 800)
# https://stackoverflow.com/questions/1414781/prompt-on-exit-in-pyqt-application
def closeEvent(self, event):
msg = "Close the app?"
reply = QMessageBox.question(self, 'Message', msg, QMessageBox.Yes,
QMessageBox.No)
if reply == QMessageBox.Yes:
event.accept()
self.stopCamera()
else:
event.ignore()
def readBarcode(self, filename):
dbr.initLicense("Your License")
results = dbr.decodeFile(
filename, 0x3FF | 0x2000000 | 0x4000000 | 0x8000000 | 0x10000000)
out = ''
index = 0
for result in results:
out += "Index: " + str(index) + "\n"
out += "Barcode format: " + result[0] + '\n'
out += "Barcode value: " + result[1] + '\n'
out += '-----------------------------------\n'
index += 1
self.results.setText(out)
def resizeImage(self, filename):
pixmap = QPixmap(filename)
lwidth = self.label.maximumWidth()
pwidth = pixmap.width()
lheight = self.label.maximumHeight()
pheight = pixmap.height()
wratio = pwidth * 1.0 / lwidth
hratio = pheight * 1.0 / lheight
if pwidth > lwidth or pheight > lheight:
if wratio > hratio:
lheight = pheight / wratio
else:
lwidth = pwidth / hratio
scaled_pixmap = pixmap.scaled(lwidth, lheight)
return scaled_pixmap
else:
return pixmap
def pickFile(self):
self.stopCamera()
# Load an image file.
filename = QFileDialog.getOpenFileName(
self, 'Open file',
'E:\\Program Files (x86)\\Dynamsoft\\Barcode Reader 7.1\\Images',
"Barcode images (*)")
# Show barcode images
pixmap = self.resizeImage(filename[0])
self.label.setPixmap(pixmap)
# Read barcodes
self.readBarcode(filename[0])
def openCamera(self):
self.vc = cv2.VideoCapture(0)
# vc.set(5, 30) #set FPS
self.vc.set(3, 640) #set width
self.vc.set(4, 480) #set height
if not self.vc.isOpened():
msgBox = QMessageBox()
msgBox.setText("Failed to open camera.")
msgBox.exec_()
return
self.timer.start(1000. / 24)
def stopCamera(self):
self.timer.stop()
# https://stackoverflow.com/questions/41103148/capture-webcam-video-using-pyqt
def nextFrameSlot(self):
rval, frame = self.vc.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image = QImage(frame, frame.shape[1], frame.shape[0],
QImage.Format_RGB888)
pixmap = QPixmap.fromImage(image)
self.label.setPixmap(pixmap)
results = dbr.decodeBuffer(
frame, 0x3FF | 0x2000000 | 0x4000000 | 0x8000000 | 0x10000000)
out = ''
index = 0
for result in results:
out += "Index: " + str(index) + "\n"
out += "Barcode format: " + result[0] + '\n'
out += "Barcode value: " + result[1] + '\n'
out += '-----------------------------------\n'
index += 1
self.results.setText(out)
class UI_Window(QWidget):
def __init__(self):
QWidget.__init__(self)
# Create a timer.
self.timer = QTimer()
self.timer.timeout.connect(self.nextFrameSlot)
# Create a layout.
layout = QVBoxLayout()
# Add a button
button_layout = QHBoxLayout()
btnCamera = QPushButton("Open camera")
btnCamera.clicked.connect(self.openCamera)
button_layout.addWidget(btnCamera)
btnCamera = QPushButton("Stop camera")
btnCamera.clicked.connect(self.stopCamera)
button_layout.addWidget(btnCamera)
layout.addLayout(button_layout)
# Add a label
self.label = QLabel()
self.label.setFixedSize(640, 480)
pixmap = self.resizeImage('dream.jpg')
self.label.setPixmap(pixmap)
layout.addWidget(self.label)
# Set the layout
self.setLayout(layout)
self.setWindowTitle("Cam")
self.setFixedSize(800, 800)
# https://stackoverflow.com/questions/1414781/prompt-on-exit-in-pyqt-application
def closeEvent(self, event):
msg = "Close the app?"
reply = QMessageBox.question(self, 'Message',
msg, QMessageBox.Yes, QMessageBox.No)
if reply == QMessageBox.Yes:
event.accept()
self.stopCamera()
else:
event.ignore()
def resizeImage(self, filename):
pixmap = QPixmap(filename)
lwidth = self.label.maximumWidth()
pwidth = pixmap.width()
lheight = self.label.maximumHeight()
pheight = pixmap.height()
wratio = pwidth * 1.0 / lwidth
hratio = pheight * 1.0 / lheight
if pwidth > lwidth or pheight > lheight:
if wratio > hratio:
lheight = pheight / wratio
else:
lwidth = pwidth / hratio
scaled_pixmap = pixmap.scaled(lwidth, lheight)
return scaled_pixmap
else:
return pixmap
def openCamera(self):
# Configure depth and color streams
self.pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
# Start streaming
self.pipeline.start(config)
self.timer.start(1000./24)
def stopCamera(self):
self.timer.stop()
def nextFrameSlot(self):
# Wait for a coherent pair of frames: depth and color
frames = self.pipeline.wait_for_frames()
depth_frame = frames.get_depth_frame()
color_frame = frames.get_color_frame()
# Convert images to numpy arrays
depth_image = np.asanyarray(depth_frame.get_data())
color_image = np.asanyarray(color_frame.get_data())
# Apply colormap on depth image (image must be converted to 8-bit per pixel first)
depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET)
# Stack both images horizontally
images = np.hstack((color_image, depth_colormap))
#rval, frame = self.vc.read()
frame = cv2.cvtColor(images, cv2.COLOR_BGR2RGB)
image = QImage(frame, frame.shape[1], frame.shape[0], QImage.Format_RGB888)
pixmap = QPixmap.fromImage(image)
self.label.setPixmap(pixmap)