def do_image_polling(self, sleep_time):
with Vimba() as vimba:
system = vimba.getSystem()
if system.GeVTLIsPresent:
system.runFeatureCommand("GeVDiscoveryAllOnce")
time.sleep(0.2)
cameraIds = vimba.getCameraIds()
# self.camera = vimba.getCamera(self.camera_id)
self.camera = vimba.getCamera(cameraIds[self.camera_index])
self.camera.openCamera(cameraAccessMode=2)
self.camera.framerate = 1
self.frame0 = self.camera.getFrame() # creates a frame
self.frame0.announceFrame()
self.camera.startCapture()
self.raw_image_dimensions = (self.frame0.width, self.frame0.height)
while True:
self.frame0.waitFrameCapture(1000)
self.frame0.queueFrameCapture()
if self.use_qt:
self.qimage = QImage(
self.frame0.getBufferByteData(),
self.raw_image_dimensions[0],
self.raw_image_dimensions[1],
QImage.Format_RGB888,
)
if self.cam_mirror is not None:
self.qimage = self.qimage.mirrored(
self.cam_mirror[0], self.cam_mirror[1])
if self.qpixmap is None:
self.qpixmap = QPixmap(self.qimage)
else:
self.qpixmap.convertFromImage(self.qimage)
self.emit("imageReceived", self.qpixmap)
else:
image_data = np.ndarray(
buffer=self.frame0.getBufferByteData(),
dtype=np.uint8,
shape=(
self.frame0.height,
self.frame0.width,
self.frame0.pixel_bytes,
),
)
image_data = cv2.cvtColor(image_data, cv2.COLOR_BGR2RGBA)
ret, im = cv2.imencode(".jpg", image_data)
self.emit(
"imageReceived",
im.tostring(),
self.frame0.width,
self.frame0.height,
)
time.sleep(sleep_time)
def init(self):
"""
Descript. :
"""
self.qimage = QImage()
current_path = os.path.dirname(os.path.abspath(__file__)).split(os.sep)
current_path = os.path.join(*current_path[1:-1])
image_path = os.path.join("/", current_path, "ExampleFiles/fakeimg.jpg")
self.qimage.load(image_path)
self.force_update = False
self.image_dimensions = [600, 400]
self.image_type = JpegType()
self.set_is_ready(True)
def get_new_image(self):
"""
Descript. : reads new image, flips it if necessary and returns the
result or None on error
"""
image = self.http_get("?action=snapshot")
if image is not None:
return QImage.fromData(image).mirrored(self.flip["h"], self.flip["v"])
return None
def generate_image(self):
self.vapory_sene = vapory.Scene(
self.vapory_camera,
objects=[self.vapory_light, self.simulated_loop.loop_object],
)
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
def get_new_image(self):
"""
Descript. : reads new image, flips it if necessary and returns the
result or None on error
"""
image = self.http_get("?action=snapshot")
if image is not None:
return QImage.fromData(image).mirrored(self.flip["h"], self.flip["v"])
return None
def _do_imagePolling(self, sleep_time):
"""
Descript. :
"""
while True:
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
time.sleep(sleep_time)
def do_image_polling(self, sleep_time):
with Vimba() as vimba:
system = vimba.getSystem()
if system.GeVTLIsPresent:
system.runFeatureCommand("GeVDiscoveryAllOnce")
time.sleep(0.2)
cameraIds = vimba.getCameraIds()
# self.camera = vimba.getCamera(self.camera_id)
self.camera = vimba.getCamera(cameraIds[self.camera_index])
self.camera.openCamera(cameraAccessMode=2)
self.camera.framerate = 1
self.frame0 = self.camera.getFrame() # creates a frame
self.frame0.announceFrame()
self.camera.startCapture()
self.raw_image_dimensions = (self.frame0.width, self.frame0.height)
while True:
self.frame0.waitFrameCapture(1000)
self.frame0.queueFrameCapture()
if self.use_qt:
self.qimage = QImage(
self.frame0.getBufferByteData(),
self.raw_image_dimensions[0],
self.raw_image_dimensions[1],
QImage.Format_RGB888,
)
if self.cam_mirror is not None:
self.qimage = self.qimage.mirrored(
self.cam_mirror[0], self.cam_mirror[1]
)
if self.qpixmap is None:
self.qpixmap = QPixmap(self.qimage)
else:
self.qpixmap.convertFromImage(self.qimage)
self.emit("imageReceived", self.qpixmap)
else:
image_data = np.ndarray(buffer=self.frame0.getBufferByteData(),
dtype=np.uint8,
shape=(self.frame0.height,
self.frame0.width,
self.frame0.pixel_bytes))
image_data = cv2.cvtColor(image_data, cv2.COLOR_BGR2RGBA)
ret, im = cv2.imencode('.jpg', image_data)
self.emit("imageReceived",
im.tostring(),
self.frame0.width,
self.frame0.height)
time.sleep(sleep_time)
def get_new_image(self):
"""
Descript. :
"""
raw_buffer, width, height = self.get_image()
if raw_buffer is not None:
qimage = QImage(raw_buffer, width, height, QImage.Format_RGB888)
qpixmap = QPixmap(qimage)
self.emit("imageReceived", qpixmap)
return qimage
def init(self):
"""
Descript. :
"""
self.qimage = QImage()
current_path = os.path.dirname(os.path.abspath(__file__)).split(os.sep)
current_path = os.path.join(*current_path[1:-1])
image_path = os.path.join("/", current_path, "ExampleFiles/fakeimg.jpg")
self.qimage.load(image_path)
self.force_update = False
self.image_dimensions = [600, 400]
self.image_type = JpegType()
self.setIsReady(True)
def generate_image(self):
self.vapory_sene = vapory.Scene(
self.vapory_camera,
objects=[self.vapory_light, self.simulated_loop.loop_object],
)
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
def _do_imagePolling(self, sleep_time):
"""
Descript. :
"""
while True:
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
time.sleep(sleep_time)
class VaporyVideo(BaseHardwareObjects.Device):
"""
Descript. :
"""
def __init__(self, name):
"""
Descript. :
"""
BaseHardwareObjects.Device.__init__(self, name)
self.force_update = None
self.image_dimensions = None
self.image_polling = None
self.image_type = None
self.qimage = None
def init(self):
"""
Descript. :
"""
self.vapory_camera = vapory.Camera("location", [0, 2, -3], "look_at", [0, 1, 2])
self.vapory_light = vapory.LightSource([2, 4, -3], "color", [1, 1, 1])
self.simulated_loop = SimulatedLoop()
self.simulated_loop.set_position(0, 0, 0)
self.force_update = False
self.image_dimensions = [600, 400]
self.image_type = JpegType()
self.setIsReady(True)
self.generate_image()
self.image_polling = gevent.spawn(self._do_imagePolling, 1)
def rotate_scene_absolute(self, angle):
self.simulated_loop.set_position(angle, 0, 0)
self.generate_image()
def rotate_scene_relative(self, angle):
return
def generate_image(self):
self.vapory_sene = vapory.Scene(
self.vapory_camera,
objects=[self.vapory_light, self.simulated_loop.loop_object],
)
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
def imageType(self):
"""
Descript. :
"""
return self.image_type
def contrastExists(self):
"""
Descript. :
"""
return
def setContrast(self, contrast):
"""
Descript. :
"""
return
def getContrast(self):
"""
Descript. :
"""
return
def getContrastMinMax(self):
"""
Descript. :
"""
return
def brightnessExists(self):
"""
Descript. :
"""
return
def setBrightness(self, brightness):
"""
Descript. :
"""
return
def getBrightness(self):
"""
Descript. :
"""
return
def getBrightnessMinMax(self):
"""
Descript. :
"""
return
def gainExists(self):
"""
Descript. :
"""
return
def setGain(self, gain):
"""
Descript. :
"""
return
def getGain(self):
"""
Descript. :
"""
return
def getGainMinMax(self):
"""
Descript. :
"""
return
def gammaExists(self):
"""
Descript. :
"""
return
def setGamma(self, gamma):
"""
Descript. :
"""
return
def getGamma(self):
"""
Descript. :
"""
return
def getGammaMinMax(self):
"""
Descript. :
"""
return (0, 1)
def setLive(self, mode):
"""
Descript. :
"""
return
def getWidth(self):
"""
Descript. :
"""
return self.image_dimensions[0]
def getHeight(self):
"""
Descript. :
"""
return self.image_dimensions[1]
def _do_imagePolling(self, sleep_time):
"""
Descript. :
"""
while True:
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
time.sleep(sleep_time)
class VideoMockup(BaseHardwareObjects.Device):
"""
Descript. :
"""
def __init__(self, name):
"""
Descript. :
"""
BaseHardwareObjects.Device.__init__(self, name)
self.force_update = None
self.image_dimensions = None
self.image_polling = None
self.image_type = None
self.qimage = None
def init(self):
"""
Descript. :
"""
self.qimage = QImage()
current_path = os.path.dirname(os.path.abspath(__file__)).split(os.sep)
current_path = os.path.join(*current_path[1:-1])
image_path = os.path.join("/", current_path,
"ExampleFiles/fakeimg.jpg")
self.qimage.load(image_path)
self.force_update = False
self.image_dimensions = [600, 400]
self.image_type = JpegType()
self.setIsReady(True)
def imageType(self):
"""
Descript. :
"""
return self.image_type
def contrastExists(self):
"""
Descript. :
"""
return
def setContrast(self, contrast):
"""
Descript. :
"""
return
def getContrast(self):
"""
Descript. :
"""
return
def getContrastMinMax(self):
"""
Descript. :
"""
return
def brightnessExists(self):
"""
Descript. :
"""
return
def setBrightness(self, brightness):
"""
Descript. :
"""
return
def getBrightness(self):
"""
Descript. :
"""
return
def getBrightnessMinMax(self):
"""
Descript. :
"""
return
def gainExists(self):
"""
Descript. :
"""
return
def setGain(self, gain):
"""
Descript. :
"""
return
def getGain(self):
"""
Descript. :
"""
return
def getGainMinMax(self):
"""
Descript. :
"""
return
def gammaExists(self):
"""
Descript. :
"""
return
def setGamma(self, gamma):
"""
Descript. :
"""
return
def getGamma(self):
"""
Descript. :
"""
return
def getGammaMinMax(self):
"""
Descript. :
"""
return (0, 1)
def setLive(self, mode):
"""
Descript. :
"""
return
def getWidth(self):
"""
Descript. :
"""
return self.image_dimensions[0]
def getHeight(self):
"""
Descript. :
"""
return self.image_dimensions[1]
def _do_imagePolling(self, sleep_time):
"""
Descript. :
"""
self.image_dimensions = (self.qimage.width(), self.qimage.height())
while True:
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
time.sleep(sleep_time)
def connectNotify(self, signal):
"""
Descript. :
"""
if signal == "imageReceived":
self.image_polling = gevent.spawn(self._do_imagePolling, 1)
class VimbaVideo(AbstractVideoDevice):
def __init__(self, name):
AbstractVideoDevice.__init__(self, name)
self.camera = None
self.camera_index = 0
self.qimage = None
self.qpixmap = None
self.use_qt = False
self.raw_image_dimensions = [1360, 1024]
def init(self):
# start Vimba
self.camera_index = self.get_property("camera_index", 0)
self.use_qt = self.get_property("use_qt", True)
atexit.register(self.close_camera)
AbstractVideoDevice.init(self)
def get_raw_image_size(self):
return self.raw_image_dimensions
def do_image_polling(self, sleep_time):
with Vimba() as vimba:
system = vimba.getSystem()
if system.GeVTLIsPresent:
system.runFeatureCommand("GeVDiscoveryAllOnce")
time.sleep(0.2)
cameraIds = vimba.getCameraIds()
# self.camera = vimba.getCamera(self.camera_id)
self.camera = vimba.getCamera(cameraIds[self.camera_index])
self.camera.openCamera(cameraAccessMode=2)
self.camera.framerate = 1
self.frame0 = self.camera.getFrame() # creates a frame
self.frame0.announceFrame()
self.camera.startCapture()
self.raw_image_dimensions = (self.frame0.width, self.frame0.height)
while True:
self.frame0.waitFrameCapture(1000)
self.frame0.queueFrameCapture()
if self.use_qt:
self.qimage = QImage(
self.frame0.getBufferByteData(),
self.raw_image_dimensions[0],
self.raw_image_dimensions[1],
QImage.Format_RGB888,
)
if self.cam_mirror is not None:
self.qimage = self.qimage.mirrored(
self.cam_mirror[0], self.cam_mirror[1])
if self.qpixmap is None:
self.qpixmap = QPixmap(self.qimage)
else:
self.qpixmap.convertFromImage(self.qimage)
self.emit("imageReceived", self.qpixmap)
else:
image_data = np.ndarray(
buffer=self.frame0.getBufferByteData(),
dtype=np.uint8,
shape=(
self.frame0.height,
self.frame0.width,
self.frame0.pixel_bytes,
),
)
image_data = cv2.cvtColor(image_data, cv2.COLOR_BGR2RGBA)
ret, im = cv2.imencode(".jpg", image_data)
self.emit(
"imageReceived",
im.tostring(),
self.frame0.width,
self.frame0.height,
)
time.sleep(sleep_time)
def get_new_image(self):
return self.qimage
def get_video_live(self):
return True
def close_camera(self):
with Vimba() as vimba:
self.camera.flushCaptureQueue()
self.camera.endCapture()
self.camera.revokeAllFrames()
vimba.shutdown()
def start_camera(self):
pass
def change_owner(self):
pass
class VaporyVideo(BaseHardwareObjects.Device):
"""
Descript. :
"""
def __init__(self, name):
"""
Descript. :
"""
BaseHardwareObjects.Device.__init__(self, name)
self.force_update = None
self.image_dimensions = None
self.image_polling = None
self.image_type = None
self.qimage = None
def init(self):
"""
Descript. :
"""
self.vapory_camera = vapory.Camera("location", [0, 2, -3], "look_at", [0, 1, 2])
self.vapory_light = vapory.LightSource([2, 4, -3], "color", [1, 1, 1])
self.simulated_loop = SimulatedLoop()
self.simulated_loop.set_position(0, 0, 0)
self.force_update = False
self.image_dimensions = [600, 400]
self.image_type = JpegType()
self.set_is_ready(True)
self.generate_image()
self.image_polling = gevent.spawn(self._do_imagePolling, 1)
def rotate_scene_absolute(self, angle):
self.simulated_loop.set_position(angle, 0, 0)
self.generate_image()
def rotate_scene_relative(self, angle):
return
def generate_image(self):
self.vapory_sene = vapory.Scene(
self.vapory_camera,
objects=[self.vapory_light, self.simulated_loop.loop_object],
)
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
def imageType(self):
"""
Descript. :
"""
return self.image_type
def contrastExists(self):
"""
Descript. :
"""
return
def setContrast(self, contrast):
"""
Descript. :
"""
return
def getContrast(self):
"""
Descript. :
"""
return
def getContrastMinMax(self):
"""
Descript. :
"""
return
def brightnessExists(self):
"""
Descript. :
"""
return
def setBrightness(self, brightness):
"""
Descript. :
"""
return
def getBrightness(self):
"""
Descript. :
"""
return
def getBrightnessMinMax(self):
"""
Descript. :
"""
return
def gainExists(self):
"""
Descript. :
"""
return
def setGain(self, gain):
"""
Descript. :
"""
return
def getGain(self):
"""
Descript. :
"""
return
def getGainMinMax(self):
"""
Descript. :
"""
return
def gammaExists(self):
"""
Descript. :
"""
return
def setGamma(self, gamma):
"""
Descript. :
"""
return
def getGamma(self):
"""
Descript. :
"""
return
def getGammaMinMax(self):
"""
Descript. :
"""
return (0, 1)
def set_live(self, mode):
"""
Descript. :
"""
return
def get_width(self):
"""
Descript. :
"""
return self.image_dimensions[0]
def get_height(self):
"""
Descript. :
"""
return self.image_dimensions[1]
def _do_imagePolling(self, sleep_time):
"""
Descript. :
"""
while True:
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1],
)
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
time.sleep(sleep_time)
class VimbaVideo(AbstractVideoDevice):
def __init__(self, name):
AbstractVideoDevice.__init__(self, name)
self.camera = None
self.camera_index = 0
self.qimage = None
self.qpixmap = None
self.use_qt = False
self.raw_image_dimensions = [1360, 1024]
def init(self):
# start Vimba
self.camera_index = self.getProperty("camera_index", 0)
self.use_qt = self.getProperty('use_qt', True)
atexit.register(self.close_camera)
AbstractVideoDevice.init(self)
def get_raw_image_size(self):
return self.raw_image_dimensions
def do_image_polling(self, sleep_time):
with Vimba() as vimba:
system = vimba.getSystem()
if system.GeVTLIsPresent:
system.runFeatureCommand("GeVDiscoveryAllOnce")
time.sleep(0.2)
cameraIds = vimba.getCameraIds()
# self.camera = vimba.getCamera(self.camera_id)
self.camera = vimba.getCamera(cameraIds[self.camera_index])
self.camera.openCamera(cameraAccessMode=2)
self.camera.framerate = 1
self.frame0 = self.camera.getFrame() # creates a frame
self.frame0.announceFrame()
self.camera.startCapture()
self.raw_image_dimensions = (self.frame0.width, self.frame0.height)
while True:
self.frame0.waitFrameCapture(1000)
self.frame0.queueFrameCapture()
if self.use_qt:
self.qimage = QImage(
self.frame0.getBufferByteData(),
self.raw_image_dimensions[0],
self.raw_image_dimensions[1],
QImage.Format_RGB888,
)
if self.cam_mirror is not None:
self.qimage = self.qimage.mirrored(
self.cam_mirror[0], self.cam_mirror[1]
)
if self.qpixmap is None:
self.qpixmap = QPixmap(self.qimage)
else:
self.qpixmap.convertFromImage(self.qimage)
self.emit("imageReceived", self.qpixmap)
else:
image_data = np.ndarray(buffer=self.frame0.getBufferByteData(),
dtype=np.uint8,
shape=(self.frame0.height,
self.frame0.width,
self.frame0.pixel_bytes))
image_data = cv2.cvtColor(image_data, cv2.COLOR_BGR2RGBA)
ret, im = cv2.imencode('.jpg', image_data)
self.emit("imageReceived",
im.tostring(),
self.frame0.width,
self.frame0.height)
time.sleep(sleep_time)
def get_new_image(self):
return self.qimage
def get_video_live(self):
return True
def close_camera(self):
with Vimba() as vimba:
self.camera.flushCaptureQueue()
self.camera.endCapture()
self.camera.revokeAllFrames()
vimba.shutdown()
def start_camera(self):
pass
def change_owner(self):
pass
class VideoMockup(BaseHardwareObjects.Device):
"""
Descript. :
"""
def __init__(self, name):
"""
Descript. :
"""
BaseHardwareObjects.Device.__init__(self, name)
self.force_update = None
self.image_dimensions = None
self.image_polling = None
self.image_type = None
self.qimage = None
def init(self):
"""
Descript. :
"""
self.qimage = QImage()
current_path = os.path.dirname(os.path.abspath(__file__)).split(os.sep)
current_path = os.path.join(*current_path[1:-1])
image_path = os.path.join("/", current_path, "ExampleFiles/fakeimg.jpg")
self.qimage.load(image_path)
self.force_update = False
self.image_dimensions = [600, 400]
self.image_type = JpegType()
self.setIsReady(True)
def imageType(self):
"""
Descript. :
"""
return self.image_type
def contrastExists(self):
"""
Descript. :
"""
return
def setContrast(self, contrast):
"""
Descript. :
"""
return
def getContrast(self):
"""
Descript. :
"""
return
def getContrastMinMax(self):
"""
Descript. :
"""
return
def brightnessExists(self):
"""
Descript. :
"""
return
def setBrightness(self, brightness):
"""
Descript. :
"""
return
def getBrightness(self):
"""
Descript. :
"""
return
def getBrightnessMinMax(self):
"""
Descript. :
"""
return
def gainExists(self):
"""
Descript. :
"""
return
def setGain(self, gain):
"""
Descript. :
"""
return
def getGain(self):
"""
Descript. :
"""
return
def getGainMinMax(self):
"""
Descript. :
"""
return
def gammaExists(self):
"""
Descript. :
"""
return
def setGamma(self, gamma):
"""
Descript. :
"""
return
def getGamma(self):
"""
Descript. :
"""
return
def getGammaMinMax(self):
"""
Descript. :
"""
return (0, 1)
def setLive(self, mode):
"""
Descript. :
"""
return
def getWidth(self):
"""
Descript. :
"""
return self.image_dimensions[0]
def getHeight(self):
"""
Descript. :
"""
return self.image_dimensions[1]
def _do_imagePolling(self, sleep_time):
"""
Descript. :
"""
self.image_dimensions = (self.qimage.width(), self.qimage.height())
while True:
self.emit(
"imageReceived",
self.qimage,
self.qimage.width(),
self.qimage.height(),
self.force_update,
)
time.sleep(sleep_time)
def connectNotify(self, signal):
"""
Descript. :
"""
if signal == "imageReceived":
self.image_polling = gevent.spawn(self._do_imagePolling, 1)