def display_image(self):
fps = ueye.DOUBLE()
ueye.is_GetFramesPerSecond(self.hCam, fps)
timeout = int((5 / fps) * 1000)
h_event = None
if platform.system() == 'Windows':
h_event = win32event.CreateEvent(None, False, False, None)
self.event = ueye.HANDLE(int(h_event))
ueye.is_InitEvent(self.hCam, self.event, self.frame_event_id)
ueye.is_EnableEvent(self.hCam, self.frame_event_id)
while True:
ret = None
if not self.capturing:
break
if platform.system() == 'Windows':
ret = win32event.WaitForSingleObject(h_event, timeout)
elif platform.system() == 'Linux':
ret = ueye.is_WaitEvent(self.hCam, self.frame_event_id,
timeout)
if ret == 0:
converted_image_data = self.convert_image_data()
self.image_data_copy = (
ueye.CHAR *
int(self.img_data.width * self.img_data.height * 3))()
ueye.is_CopyImageMem(
hCam=self.hCam,
pcSource=converted_image_data.memory_pointer,
nID=converted_image_data.memory_id,
pcDest=self.image_data_copy)
bytes_per_pixel = 3
self.image_data_copy = numpy.reshape(
self.image_data_copy,
(int(self.img_data.height), int(
self.img_data.width), bytes_per_pixel))
self.image_data_copy = self.image_data_copy.view(numpy.uint8)
self.pil_image = Image.fromarray(self.image_data_copy)
self.graphics_scene.clear()
self.width, self.height = self.pil_image.size
self.qt_image = ImageQt.ImageQt(self.pil_image)
self.pix_map = QPixmap.fromImage(self.qt_image)
self.graphics_scene.addPixmap(self.pix_map)
self.graphics_view.fitInView(
QRectF(0, 0, self.width, self.height), Qt.KeepAspectRatio)
self.graphics_scene.update()
app.processEvents()
def capture(self):
'''
Takes an image from the camera and places it in the computer memory
'''
err = pue.is_FreezeVideo(
self.cam,
pue.IS_WAIT) #IS_DONT_WAIT = 0x0000, or IS_GET_LIVE = 0x8000
if err != pue.IS_SUCCESS:
raise CameraException(self.cam, 'ueye>capture>', err, False)
err = pue.is_CopyImageMem(self.cam, self.ppcImgMem, self.pid,
self.image_data.ctypes.data)
if err != pue.IS_SUCCESS:
raise CameraException(self.cam, 'ueye>capture>', err, False)
def _poll_buffer(self):
data = ueye.c_mem_p()
buffer_id = ueye.int()
try:
self.check_success(
ueye.is_WaitForNextImage(self.h, 1000, data, buffer_id))
self.check_success(
ueye.is_CopyImageMem(
self.h, data, buffer_id,
self.transfer_buffer.ctypes.data_as(
ctypes.POINTER(ctypes.c_uint8))))
except RuntimeError:
try:
self.check_success(
ueye.is_UnlockSeqBuf(self.h, ueye.IS_IGNORE_PARAMETER,
data))
except:
pass
finally:
return
if self.n_accum_current == 0:
self.accum_buffer[:] = self.transfer_buffer
else:
self.accum_buffer[:] = self.accum_buffer + self.transfer_buffer
self.n_accum_current += 1
self.check_success(
ueye.is_UnlockSeqBuf(self.h, ueye.IS_IGNORE_PARAMETER, data))
if self.n_accum_current >= self.n_accum:
self.full_buffers.put(self.accum_buffer)
self.accum_buffer = self.free_buffers.get()
self.n_accum_current = 0
self.n_full += 1
def capture():
uEyeDll.is_FreezeVideo(cam, ueye.IS_WAIT)
ueye.is_CopyImageMem(cam, pcImgMem, pid, ImageData.ctypes.data)
return ImageData
def CopyImg(cam, ImageData, pcImgMem, pid):
"""copys the image from the memory to a numpy array"""
ret = ueye.is_CopyImageMem(cam, pcImgMem, pid, ImageData.ctypes.data)
return ret
def capture_image(self):
""" In order to preserve compatibility with the old version, this function returns (R , G1 , G1 , B) images in the form of dictionary. """
time.sleep(0.25)
if self.frames_avg == 1:
ueye.is_AllocImageMem(self.CamID, self.sensorWidth_ctype,
self.sensorHeight_ctype, self.bitdepth,
self.memPointer, self.memID)
ueye.is_SetImageMem(self.CamID, self.memPointer, self.memID)
imageArray = np.zeros(
(self.sensorHeight_ctype.value, self.sensorWidth_ctype.value),
dtype=np.uint16)
ueye.is_FreezeVideo(self.CamID, ueye.IS_WAIT)
ueye.is_CopyImageMem(self.CamID, self.memPointer, self.memID,
imageArray.ctypes.data)
# Clean memory
ueye.is_FreeImageMem(self.CamID, self.memPointer, self.memID)
else:
imageStack = []
print('(' + str(self.frames_avg) + 'x) ', end='')
for i in range(self.frames_avg):
ueye.is_AllocImageMem(self.CamID, self.sensorWidth_ctype,
self.sensorHeight_ctype, self.bitdepth,
self.memPointer, self.memID)
ueye.is_SetImageMem(self.CamID, self.memPointer, self.memID)
imageArrayFrame = np.zeros((self.sensorHeight_ctype.value,
self.sensorWidth_ctype.value),
dtype=np.uint16)
ueye.is_FreezeVideo(self.CamID, ueye.IS_WAIT)
ueye.is_CopyImageMem(self.CamID, self.memPointer, self.memID,
imageArrayFrame.ctypes.data)
# Clean memory
ueye.is_FreeImageMem(self.CamID, self.memPointer, self.memID)
imageStack.append(np.array(imageArrayFrame, dtype=np.uint16))
imageArray = np.mean(imageStack, axis=0)
#Binning Recuting
if self.binningEnabled == True:
imageArray = imageArray[0:self.currentHeight, 0:self.currentWidth]
#imageArrayResized = self.resizeImage(imageArray)
if self.sensorInfo.strSensorName.decode('utf8')[-1] == 'C':
imageDict = self.colorPipe_Bayer12(imageArray)
elif self.sensorInfo.strSensorName.decode('utf8')[-1] == 'M':
imageDict = self.colorPipe_Mono(imageArray)
elif self.sensorInfo.strSensorName.decode(
'utf8')[-1] != 'C' and self.sensorInfo.strSensorName.decode(
'utf8')[-1] != 'M':
raise NameError(
'Sensor type not recognized by the IDSCamera.capture_image function!'
)
return imageDict