Exemple #1
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    def respond(self, byteArray, meta=None):
        if not self.conn:
            return False
        self.log("Sending Response. dataType: {0}, renderId: {1}".format(
            meta.get("dataType"), meta.get("renderId")))
        obj = {"type": self.TYPE_RESPONSE, "meta": meta or {}}

        memKey = self.nextMemoryKey()
        obj["memoryKey"] = memKey
        # TODO: check that the memory segment is not used

        # store data in shared memory
        mem = QSharedMemory(memKey)
        if mem.isAttached():
            mem.detach()

        if not mem.create(len(byteArray)):
            self.log(mem.errorString())
            return False
        self.log("Shared memory created: {0}, {1} bytes".format(
            memKey, len(byteArray)))

        mem.lock()
        try:
            ctypes.memmove(int(mem.data()), byteArray, len(byteArray))
        finally:
            mem.unlock()

        self._mem[memKey] = mem

        self.conn.write(json.dumps(obj).encode("utf-8") + b"\n")
        self.conn.flush()
        return True
Exemple #2
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def single_instance_lock():
    sharedMemory = QSharedMemory(
        "77rWEV37vupNhQs6ktDREthqSciyV77OYrqPBSwV755JFIhl9iOywB7G5DkAKU8Y")
    if sharedMemory.attach(QSharedMemory.ReadOnly):
        sharedMemory.detach()
        return None

    if sharedMemory.create(1):
        return sharedMemory

    return None
Exemple #3
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def single_instance_lock(currency):
    key = hashlib.sha256(currency.encode('utf-8')
                         + "77rWEV37vupNhQs6ktDREthqSciyV77OYrqPBSwV755JFIhl9iOywB7G5DkAKU8Y".encode('utf-8'))\
        .hexdigest()
    sharedMemory = QSharedMemory(key)
    if sharedMemory.attach(QSharedMemory.ReadOnly):
        sharedMemory.detach()
        return None

    if sharedMemory.create(1):
        return sharedMemory

    return None
Exemple #4
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class SharedApplication(QApplication):
    def __init__(self, *args, **kwargs):
        super(SharedApplication, self).__init__(*args, **kwargs)
        self._running = False
        key = "SharedApplication" + __version__
        self._memory = QSharedMemory(key, self)

        isAttached = self._memory.isAttached()
        print("isAttached", isAttached)
        if isAttached:  # 如果进程附加在共享内存上
            detach = self._memory.detach()  # 取消进程附加在共享内存上
            print("detach", detach)

        if self._memory.create(
                1) and self._memory.error() != QSharedMemory.AlreadyExists:
            # 创建共享内存,如果创建失败,则说明已经创建,否则未创建
            print("create ok")
        else:
            print("create failed")
            self._running = True
            del self._memory

    def isRunning(self):
        return self._running
Exemple #5
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class LivePlotClient(object):
    def __init__(self, timeout=2000, size=2**28):
        self.app = QCoreApplication.instance()

        if self.app is None:
            self.app = QCoreApplication([])

        self.sock = QLocalSocket()
        self.sock.connectToServer("LivePlot")

        if not self.sock.waitForConnected():
            raise EnvironmentError("Couldn't find LivePlotter instance")
        self.sock.disconnected.connect(self.disconnect_received)

        key = str(uuid.uuid4())
        self.shared_mem = QSharedMemory(key)
        if not self.shared_mem.create(size):
            raise Exception("Couldn't create shared memory %s" %
                            self.shared_mem.errorString())
        logging.debug('Memory created with key %s and size %s' %
                      (key, self.shared_mem.size()))
        self.sock.write(key.encode())
        self.sock.waitForBytesWritten()

        self.is_connected = True
        self.timeout = timeout

        atexit.register(self.close)

    def close(self):
        self.shared_mem.detach()

    def send_to_plotter(self, meta, arr=None):
        if not self.is_connected:
            return
        if meta["name"] is None:
            meta["name"] = "*"
        if arr is not None:

            arrbytes = bytearray(arr)
            arrsize = len(arrbytes)
            if arrsize > self.shared_mem.size():
                raise ValueError("Array too big %s > %s" %
                                 (arrsize, self.shared_mem.size()))
            meta['arrsize'] = arrsize
            meta['dtype'] = str(arr.dtype)
            meta['shape'] = arr.shape
        else:
            meta['arrsize'] = 0
        meta_bytes = json.dumps(meta).ljust(300)
        if len(meta_bytes) > 300:
            raise ValueError("meta object is too large (> 300 char)")

        if arr is None:
            self.sock.write(meta_bytes.encode())
        else:
            if not self.sock.bytesAvailable():
                self.sock.waitForReadyRead()
            self.sock.read(2)
            self.shared_mem.lock()
            self.sock.write(meta_bytes.encode())
            region = self.shared_mem.data()
            region[:arrsize] = arrbytes
            self.shared_mem.unlock()

    def plot_y(self, name, arr, extent=None, start_step=(0, 1), label=''):
        arr = np.array(arr)
        if extent is not None and start_step is not None:
            raise ValueError(
                'extent and start_step provide the same info and are thus mutually exclusive'
            )
        if extent is not None:
            x0, x1 = extent
            nx = len(arr)
            start_step = x0, float(x1 - x0) / nx
        meta = {
            'name': name,
            'operation': 'plot_y',
            'start_step': start_step,
            'rank': 1,
            'label': label,
        }
        self.send_to_plotter(meta, arr.astype('float64'))
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def plot_z(self, name, arr, extent=None, start_step=None, xname='X axis',\
     xscale='arb. u.', yname='Y axis', yscale='arb. u.', zname='Y axis', zscale='arb. u.'):
        '''
        extent is ((initial x, final x), (initial y, final y))
        start_step is ((initial x, delta x), (initial_y, final_y))
        '''
        arr = np.array(arr)
        if extent is not None and start_step is not None:
            raise ValueError(
                'extent and start_step provide the same info and are thus mutually exclusive'
            )
        if extent is not None:
            (x0, x1), (y0, y1) = extent
            nx, ny = arr.shape
            start_step = (x0, float(x1 - x0) / nx), (y0, float(y1 - y0) / ny)
        meta = {
            'name': name,
            'operation': 'plot_z',
            'rank': 2,
            'start_step': start_step,
            'X': xscale,
            'Y': yscale,
            'Z': zscale,
            'Xname': xname,
            'Yname': yname,
            'Zname': zname,
        }
        self.send_to_plotter(meta, arr.astype('float64'))
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def plot_xy(self, name, xs, ys, label='', xname='X axis', xscale='arb. u.',\
     yname='Y axis', yscale='arb. u.', scatter='False', timeaxis='False'):
        arr = np.array([xs, ys])
        meta = {
            'name': name,
            'operation': 'plot_xy',
            'rank': 1,
            'label': label,
            'X': xscale,
            'Y': yscale,
            'Xname': xname,
            'Yname': yname,
            'Scatter': scatter,
            'TimeAxis': timeaxis
        }
        self.send_to_plotter(meta, np.array([xs, ys]).astype('float64'))
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def append_y(self, name, point, start_step=(0, 1), label='', xname='X axis',\
     xscale='arb. u.', yname='Y axis', yscale='arb. u.',scatter='False', timeaxis='False'):
        self.send_to_plotter({
            'name': name,
            'operation': 'append_y',
            'value': point,
            'start_step': start_step,
            'rank': 1,
            'label': label,
            'X': xscale,
            'Y': yscale,
            'Xname': xname,
            'Yname': yname,
            'Scatter': scatter,
            'TimeAxis': timeaxis
        })
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def append_xy(self, name, x, y, label=''):
        self.send_to_plotter({
            'name': name,
            'operation': 'append_xy',
            'value': (x, y),
            'rank': 1,
            'label': label,
        })
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def append_z(self, name, arr, start_step=None, xname='X axis',\
     xscale='arb. u.', yname='Y axis', yscale='arb. u.', zname='Y axis', zscale='arb. u.'):
        arr = np.array(arr)
        meta = {
            'name': name,
            'operation': 'append_z',
            'rank': 2,
            'start_step': start_step,
            'X': xscale,
            'Y': yscale,
            'Z': zscale,
            'Xname': xname,
            'Yname': yname,
            'Zname': zname,
        }
        self.send_to_plotter(meta, arr.astype('float64'))
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def label(self, name, text):
        self.send_to_plotter({
            'name': name,
            'operation': 'label',
            'value': text
        })
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def clear(self, name=None):
        self.send_to_plotter({'name': name, 'operation': 'clear'})

    def hide(self, name=None):
        self.send_to_plotter({'name': name, 'operation': 'close'})

    def remove(self, name=None):
        self.send_to_plotter({'name': name, 'operation': 'remove'})
        self.send_to_plotter({
            'name': 'none',
            'operation': 'none'
        }, np.array([0.]))

    def disconnect_received(self):
        self.is_connected = False
        warnings.warn(
            'Disconnected from LivePlotter server, plotting has been disabled')
Exemple #6
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class Dialog(QDialog):
    """ This class is a simple example of how to use QSharedMemory.  It is a
    simple dialog that presents a few buttons.  Run the executable twice to
    create two processes running the dialog.  In one of the processes, press
    the button to load an image into a shared memory segment, and then select
    an image file to load.  Once the first process has loaded and displayed the
    image, in the second process, press the button to read the same image from
    shared memory.  The second process displays the same image loaded from its
    new location in shared memory.

    The class contains a data member sharedMemory, which is initialized with
    the key "QSharedMemoryExample" to force all instances of Dialog to access
    the same shared memory segment.  The constructor also connects the
    clicked() signal from each of the three dialog buttons to the slot function
    appropriate for handling each button.
    """
    def __init__(self, parent=None):
        super(Dialog, self).__init__(parent)

        self.sharedMemory = QSharedMemory('QSharedMemoryExample')

        self.ui = Ui_Dialog()
        self.ui.setupUi(self)

        self.ui.loadFromFileButton.clicked.connect(self.loadFromFile)
        self.ui.loadFromSharedMemoryButton.clicked.connect(self.loadFromMemory)

        self.setWindowTitle("SharedMemory Example")

    def loadFromFile(self):
        """ This slot function is called when the "Load Image From File..."
        button is pressed on the firs Dialog process.  First, it tests whether
        the process is already connected to a shared memory segment and, if so,
        detaches from that segment.  This ensures that we always start the
        example from the beginning if we run it multiple times with the same
        two Dialog processes.  After detaching from an existing shared memory
        segment, the user is prompted to select an image file.  The selected
        file is loaded into a QImage.  The QImage is displayed in the Dialog
        and streamed into a QBuffer with a QDataStream.  Next, it gets a new
        shared memory segment from the system big enough to hold the image data
        in the QBuffer, and it locks the segment to prevent the second Dialog
        process from accessing it.  Then it copies the image from the QBuffer
        into the shared memory segment.  Finally, it unlocks the shared memory
        segment so the second Dialog process can access it.  After self
        function runs, the user is expected to press the "Load Image from
        Shared Memory" button on the second Dialog process.
        """

        if self.sharedMemory.isAttached():
            self.detach()

        self.ui.label.setText("Select an image file")
        fileName, _ = QFileDialog.getOpenFileName(
            self, None, None, "Images (*.png *.xpm *.jpg)")
        image = QImage()
        if not image.load(fileName):
            self.ui.label.setText(
                "Selected file is not an image, please select another.")
            return

        self.ui.label.setPixmap(QPixmap.fromImage(image))

        # Load into shared memory.
        buf = QBuffer()
        buf.open(QBuffer.ReadWrite)
        out = QDataStream(buf)
        out << image
        size = buf.size()

        if not self.sharedMemory.create(size):
            self.ui.label.setText("Unable to create shared memory segment.")
            return

        size = min(self.sharedMemory.size(), size)
        self.sharedMemory.lock()

        # Copy image data from buf into shared memory area.
        self.sharedMemory.data()[:] = buf.data().data()
        self.sharedMemory.unlock()

    def loadFromMemory(self):
        """ This slot function is called in the second Dialog process, when the
        user presses the "Load Image from Shared Memory" button.  First, it
        attaches the process to the shared memory segment created by the first
        Dialog process.  Then it locks the segment for exclusive access, copies
        the image data from the segment into a QBuffer, and streams the QBuffer
        into a QImage.  Then it unlocks the shared memory segment, detaches
        from it, and finally displays the QImage in the Dialog.
        """

        if not self.sharedMemory.attach():
            self.ui.label.setText(
                "Unable to attach to shared memory segment.\nLoad an "
                "image first.")
            return

        buf = QBuffer()
        ins = QDataStream(buf)
        image = QImage()

        self.sharedMemory.lock()
        buf.setData(self.sharedMemory.constData())
        buf.open(QBuffer.ReadOnly)
        ins >> image
        self.sharedMemory.unlock()
        self.sharedMemory.detach()

        self.ui.label.setPixmap(QPixmap.fromImage(image))

    def detach(self):
        """ This private function is called by the destructor to detach the
        process from its shared memory segment.  When the last process detaches
        from a shared memory segment, the system releases the shared memory.
        """

        if not self.sharedMemory.detach():
            self.ui.label.setText("Unable to detach from shared memory.")
Exemple #7
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    def receiveMessage(self):
        stream = QTextStream(self.conn)
        if stream.atEnd():
            return
        data = stream.readAll()

        for json_str in data.split("\n")[:-1]:
            obj = json.loads(json_str)
            msgType = obj["type"]
            if msgType == self.TYPE_NOTIFICATION:
                self.log("Notification Received. code: {0}".format(
                    obj["params"].get("code")))
                if obj["params"].get("code") == self.N_DATA_RECEIVED:
                    memKey = obj["params"]["memoryKey"]
                    mem = self._mem[memKey]
                    if mem.isAttached():
                        mem.detach()
                        self.log(
                            "Shared memory detached: key={0}".format(memKey))
                    del self._mem[memKey]
                else:
                    self.notified.emit(obj["params"])

            elif msgType == self.TYPE_REQUEST:
                self.log(
                    "Request Received. dataType: {0}, renderId: {1}".format(
                        obj["params"].get("dataType"),
                        obj["params"].get("renderId")))
                self.requestReceived.emit(obj["params"])

            elif msgType == self.TYPE_RESPONSE:
                self.log(
                    "Response Received. dataType: {0}, renderId: {1}".format(
                        obj["meta"].get("dataType"),
                        obj["meta"].get("renderId")))
                mem = QSharedMemory(obj["memoryKey"])
                if not mem.attach(QSharedMemory.ReadOnly):
                    self.log(
                        "Cannot attach this process to the shared memory segment: {0}"
                        .format(mem.errorString()))
                    return

                size = mem.size()
                self.log("Size of memory segment is {0} bytes.".format(size))

                mem.lock()
                ba = QByteArray()
                buffer = QBuffer(ba)
                buffer.setData(mem.constData())
                mem.unlock()
                mem.detach()

                data = ba.data()
                lines = data.split(b"\n")
                for line in lines[:5]:
                    self.log(line[:76])
                if len(lines) > 5:
                    self.log("--Total {0} Lines Received--".format(len(lines)))

                self.notify({
                    "code": self.N_DATA_RECEIVED,
                    "memoryKey": obj["memoryKey"]
                })
                self.responseReceived.emit(data, obj["meta"])
# from tensorflow.keras.applications import ResNet50
# from tensorflow.keras.preprocessing import image
# from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions

SIZE = 224
CHANNELS = 3
#model = ResNet50(weights="imagenet")


from PyQt5.QtCore import QSharedMemory,QBuffer
import numpy as np
from matplotlib import pyplot as plt
import cv2


mem = QSharedMemory("image4")
mem.attach()

while True:
    mem.lock()
    t = np.array(mem.constData().asarray())
    n_t = t[0:SIZE*SIZE*CHANNELS]
    plt.imshow(n_t.reshape((SIZE,SIZE,-1)))
    cv2.imwrite("test123.png",n_t.reshape((SIZE,SIZE,-1)))
    mem.unlock()
    break

mem.unlock();
mem.detach();
#del model
Exemple #9
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class Dialog(QDialog):
    """ This class is a simple example of how to use QSharedMemory.  It is a
    simple dialog that presents a few buttons.  Run the executable twice to
    create two processes running the dialog.  In one of the processes, press
    the button to load an image into a shared memory segment, and then select
    an image file to load.  Once the first process has loaded and displayed the
    image, in the second process, press the button to read the same image from
    shared memory.  The second process displays the same image loaded from its
    new location in shared memory.

    The class contains a data member sharedMemory, which is initialized with
    the key "QSharedMemoryExample" to force all instances of Dialog to access
    the same shared memory segment.  The constructor also connects the
    clicked() signal from each of the three dialog buttons to the slot function
    appropriate for handling each button.
    """

    def __init__(self, parent = None):
        super(Dialog, self).__init__(parent)

        self.sharedMemory = QSharedMemory('QSharedMemoryExample')

        self.ui = Ui_Dialog()
        self.ui.setupUi(self)

        self.ui.loadFromFileButton.clicked.connect(self.loadFromFile)
        self.ui.loadFromSharedMemoryButton.clicked.connect(self.loadFromMemory)

        self.setWindowTitle("SharedMemory Example")

    def loadFromFile(self):
        """ This slot function is called when the "Load Image From File..."
        button is pressed on the firs Dialog process.  First, it tests whether
        the process is already connected to a shared memory segment and, if so,
        detaches from that segment.  This ensures that we always start the
        example from the beginning if we run it multiple times with the same
        two Dialog processes.  After detaching from an existing shared memory
        segment, the user is prompted to select an image file.  The selected
        file is loaded into a QImage.  The QImage is displayed in the Dialog
        and streamed into a QBuffer with a QDataStream.  Next, it gets a new
        shared memory segment from the system big enough to hold the image data
        in the QBuffer, and it locks the segment to prevent the second Dialog
        process from accessing it.  Then it copies the image from the QBuffer
        into the shared memory segment.  Finally, it unlocks the shared memory
        segment so the second Dialog process can access it.  After self
        function runs, the user is expected to press the "Load Image from
        Shared Memory" button on the second Dialog process.
        """

        if self.sharedMemory.isAttached():
            self.detach()

        self.ui.label.setText("Select an image file")
        fileName, _ = QFileDialog.getOpenFileName(self, None, None,
                "Images (*.png *.xpm *.jpg)")
        image = QImage()
        if not image.load(fileName):
            self.ui.label.setText(
                    "Selected file is not an image, please select another.")
            return

        self.ui.label.setPixmap(QPixmap.fromImage(image))

        # Load into shared memory.
        buf = QBuffer()
        buf.open(QBuffer.ReadWrite)
        out = QDataStream(buf)
        out << image
        size = buf.size()

        if not self.sharedMemory.create(size):
            self.ui.label.setText("Unable to create shared memory segment.")
            return

        size = min(self.sharedMemory.size(), size)
        self.sharedMemory.lock()

        # Copy image data from buf into shared memory area.
        self.sharedMemory.data()[:] = buf.data().data()
        self.sharedMemory.unlock()

    def loadFromMemory(self):
        """ This slot function is called in the second Dialog process, when the
        user presses the "Load Image from Shared Memory" button.  First, it
        attaches the process to the shared memory segment created by the first
        Dialog process.  Then it locks the segment for exclusive access, copies
        the image data from the segment into a QBuffer, and streams the QBuffer
        into a QImage.  Then it unlocks the shared memory segment, detaches
        from it, and finally displays the QImage in the Dialog.
        """

        if not self.sharedMemory.attach():
            self.ui.label.setText(
                    "Unable to attach to shared memory segment.\nLoad an "
                    "image first.")
            return
 
        buf = QBuffer()
        ins = QDataStream(buf)
        image = QImage()

        self.sharedMemory.lock()
        buf.setData(self.sharedMemory.constData())
        buf.open(QBuffer.ReadOnly)
        ins >> image
        self.sharedMemory.unlock()
        self.sharedMemory.detach()

        self.ui.label.setPixmap(QPixmap.fromImage(image))

    def detach(self):
        """ This private function is called by the destructor to detach the
        process from its shared memory segment.  When the last process detaches
        from a shared memory segment, the system releases the shared memory.
        """

        if not self.sharedMemory.detach():
            self.ui.label.setText("Unable to detach from shared memory.")