class TestHarvesterCoreBase(unittest.TestCase):
_cti_file_path = get_cti_file_path()
sys.path.append(_cti_file_path)
def __init__(self, *args, **kwargs):
#
super().__init__(*args, **kwargs)
#
self._harvester = None
self._ia = None
self._thread = None
self._logger = get_logger(name='harvesters', level=DEBUG)
self._buffers = []
def setUp(self):
#
super().setUp()
#
self._harvester = Harvester(logger=self._logger)
self._harvester.add_file(self._cti_file_path)
self._harvester.update()
def tearDown(self):
#
if self.ia:
self.ia.destroy()
#
self._harvester.reset()
#
self._ia = None
#
super().tearDown()
@property
def harvester(self):
return self._harvester
@property
def ia(self):
return self._ia
@ia.setter
def ia(self, value):
self._ia = value
@property
def general_purpose_thread(self):
return self._thread
@general_purpose_thread.setter
def general_purpose_thread(self, value):
self._thread = value
def is_running_with_default_target(self):
return True if 'TLSimu.cti' in self._cti_file_path else False
def open(self) -> None:
"""TBW."""
if self._simulate:
return
h = Harvester()
locs = [
r"~/tools/mvImpact/lib/x86_64/mvGenTLProducer.cti",
r"C:\Program Files\MATRIX VISION\mvIMPACT Acquire\bin\x64\mvGenTLProducer.cti"
]
cti = ""
for loc in locs:
if Path(loc).expanduser().exists():
cti = loc
if not cti:
raise FileNotFoundError(
"Could not locate cti file: mvGenTLProducer.cti")
cti = str(Path(cti).expanduser())
h.add_file(cti)
h.update()
len(h.device_info_list)
h.device_info_list[0]
print("creating ia....")
ia = h.create_image_acquirer(0)
print("ia created")
# ia = h.create_image_acquirer(serial_number='050200047485')
# ia.remote_device.node_map.Width.value = 1024 # max: 1312
# ia.remote_device.node_map.Height.value = 1024 # max: 1082
# ia.remote_device.node_map.PixelFormat.value = 'Mono12'
from harvesters.core import ImageAcquirer
print(ImageAcquirer.Events.__members__)
from harvesters.core import Callback
class CallbackOnNewBuffer(Callback):
def __init__(self, ia: ImageAcquirer):
#
super().__init__()
#
self._ia = ia
def emit(self, context):
# # You would implement this method by yourself.
# with _ia.fetch_buffer() as buffer:
# # Work with the fetched buffer.
# print(buffer)
print(datetime.utcnow(), "New image")
on_new_buffer = CallbackOnNewBuffer(self)
ia.add_callback(ia.Events.NEW_BUFFER_AVAILABLE, on_new_buffer)
ia.start_acquisition(run_in_background=True)
self._dev = h
self._ia = ia
self.on_new_buffer = on_new_buffer
class HarvestersSource(Node, Observable):
def __init__(self):
Node.__init__(self, "Harvesters")
Observable.__init__(self, self._on_subscribe)
self.cfg = self.config[SECTION]
self.harvester = Harvester()
if self.cfg["disableInternalLogger"]:
self.harvester._logger.setLevel(100)
self.cti_file = self.cfg["ctiFile"]
self.harvester.add_file(self.cti_file)
self.logger.info(f"Loaded harvester cti file {self.cti_file}")
self.harvester.update()
self.logger.info(
f"Found {len(self.harvester.device_info_list)} devices.")
def _on_subscribe(self, observer: Observer, scheduler=None):
self.acquirer = self.harvester.create_image_acquirer(list_index=0)
self.reload_camera_driver()
self.acquirer.add_callback(
self.acquirer.Events.NEW_BUFFER_AVAILABLE,
CallbackOnNewBuffer(self.acquirer, observer))
self.acquirer.start_image_acquisition(run_in_background=True)
self.logger.info("Started acquisition in background")
def dispose():
def _async_dispose(*args):
# prevent join in the same thread.
self.logger.info("Stopping image acquisition")
self.acquirer.stop_image_acquisition()
self.acquirer.destroy()
self.logger.info("Stopped image acquisition")
(scheduler or NewThreadScheduler()).schedule(_async_dispose)
return Disposable(dispose)
def reload_camera_driver(self):
node = self.acquirer.device.node_map
node.LineSelector.value = self.cfg["lineSelector"]
node.LineMode.value = self.cfg["lineMode"]
node.LineInverter.value = self.cfg["lineInverter"]
node.LineSource.value = "ExposureActive"
node.ExposureTime.value = self.cfg["exposureTime"]
if node.has_node("acquisitionFrameRateMode"):
# Allied Vision Camera
node.AcquisitionFrameRateMode.value = "Basic"
node.AcquisitionFrameRate.value = self.cfg["acquisitionFrameRate"]
if self.cfg["extraNodes"]:
extra_nodes: dict = self.cfg["extraNodes"]
for k, v in extra_nodes.items():
node.get_node(k).value = v
class TestHarvesterNoCleanUp(TestHarvesterBase):
def __init__(self, *args, **kwargs):
#
super().__init__(*args, **kwargs)
def setUp(self):
#
super().setUp()
#
self._harvester = Harvester(logger=self._logger, do_clean_up=False)
self._harvester.add_file(self._cti_file_path)
self._harvester.update()
def run_camera():
# Create a Harvester object:
h = Harvester()
# Load a GenTL Producer; you can load many more if you want to: ##find producer
h.add_file(
'C:\Program Files\Allied Vision\Vimba_4.2\VimbaGigETL\Bin\Win64\VimbaGigETL.cti'
)
# Enumerate the available devices that GenTL Producers can handle:
h.update()
print(h.device_info_list)
# Select a target device and create an ImageAcquire object that
# controls the device:
ia = h.create_image_acquirer(0)
# Configure the target device; it looks very small but this is just
# for demonstration:
# ia.remote_device.node_map.Width.value = 1936
# ia.remote_device.node_map.Height.value = 1216
# ia.remote_device.node_map.PixelFormat.value = 'RGB8Packed'
# Allow the ImageAcquire object to start image acquisition:
ia.start_acquisition()
# We are going to fetch a buffer filled up with an image:
# Note that you'll have to queue the buffer back to the
# ImageAcquire object once you consumed the buffer; the
# with statement takes care of it on behalf of you:
with ia.fetch_buffer() as buffer:
# Let's create an alias of the 2D image component; it can be
# lengthy which is not good for typing. In addition, note that
# a 3D camera can give you 2 or more components:
component = buffer.payload.components[0]
# Reshape the NumPy array into a 2D array:
image_rgb = component.data.reshape(component.height, component.width,
3)
image_bgr = cv2.cvtColor(image_rgb, cv2.COLOR_RGB2BGR)
# img_inference runs both models
processing_time, boxes, scores, labels = img_inference(image_bgr)
# Stop the ImageAcquier object acquiring images:
ia.stop_acquisition()
# We're going to leave here shortly:
ia.destroy()
h.reset()
def run(self):
h = Harvester()
h.add_file(self._cti_file_path)
h.update()
try:
ia = h.create_image_acquirer(0)
except:
# Transfer the exception anyway:
self._message_queue.put(sys.exc_info())
else:
ia.start_acquisition()
ia.stop_acquisition()
ia.destroy()
h.reset()
class Camera:
def __init__(self):
self.connection_exceptions = ()
self.__harv = Harvester()
self.__img_cap = None
pass
def connect(self):
try:
self.__harv.add_file('/usr/lib/ids/cti/ids_gevgentl.cti')
self.__harv.update()
except Exception as e:
print(e)
pass
def disconnect(self):
self.__img_cap.destroy()
self.__harv.reset()
pass
def initialize(self):
try:
self.__img_cap = self.__harv.create_image_acquirer(list_index=0)
self.__img_cap.remote_device.node_map.PixelFormat.value = 'Mono8'
except Exception as e:
print(e)
pass
def capture(self) -> str:
try:
# Start acquisition
self.__img_cap.start_acquisition()
with self.__img_cap.fetch_buffer() as buffer:
component = buffer.payload.components[0]
# reshape to a 2D array
_2d = component.data.reshape(component.height, component.width)
# Stop acquisition
self.__img_cap.stop_acquisition()
# SERIALIZE _2d
_2d_bytes = pickle.dumps(_2d)
encoded = base64.b64encode(_2d_bytes)
print(_2d)
print(_2d_bytes)
print(encoded)
# MUST RETURN A JSON STRING AS:
image = {
"filename": "my_image{}".format(randrange(2000)),
"image": encoded.decode('ascii')
}
# To consume
#decoded = base64.b64decode(image['image'])
#_2d_loaded = pickle.loads(decoded)
#print(decoded)
#print(_2d_loaded)
return json.dumps(image)
except Exception as e:
print(e)
return None
def configure(self, parameters):
pass
class TestTutorials2(unittest.TestCase):
def setUp(self) -> None:
# The following block is just for administrative purpose;
# you should not include it in your code:
self.cti_file_path = get_cti_file_path()
if 'TLSimu.cti' not in self.cti_file_path:
self.skipTest('The target is not TLSimu.')
# Create a Harvester object:
self.harvester = Harvester()
def tearDown(self) -> None:
#
self.harvester.reset()
def test_traversable_tutorial(self):
# Add a CTI file path:
self.harvester.add_file(self.cti_file_path)
self.harvester.update()
# Connect to the first camera in the list:
ia = self.harvester.create_image_acquirer(0)
#
num_images_to_acquire = 0
# Then start image acquisition:
ia.start_acquisition()
while num_images_to_acquire < 100:
#
with ia.fetch_buffer() as buffer:
# self.do_something(buffer)
pass
num_images_to_acquire += 1
# We don't need the ImageAcquirer object. Destroy it:
ia.destroy()
def test_ticket_127(self):
#
self.harvester.add_cti_file(self.cti_file_path)
self.harvester.remove_cti_file(self.cti_file_path)
#
self.harvester.add_cti_file(self.cti_file_path)
self.harvester.remove_cti_files()
#
self.harvester.add_cti_file(self.cti_file_path)
self.assertIsNotNone(self.harvester.cti_files)
#
self.harvester.update_device_info_list()
# Connect to the first camera in the list:
ia = self.harvester.create_image_acquirer(0)
#
ia.start_image_acquisition()
self.assertTrue(ia.is_acquiring_images())
ia.stop_image_acquisition()
self.assertFalse(ia.is_acquiring_images())
# Issues: camera startup is troublesome, GenTL module presents errors after fetch_buffer call
import time
import numpy as np
#from genicam.genapi import NodeMap
from harvesters.core import Harvester
from harvesters.util.pfnc import mono_location_formats
import png
h = Harvester()
# h.add_file('/opt/cvb-13.02.002/drivers/genicam/libGevTL.cti')
# h.add_file('/opt/baumer-gapi-sdk/lib/libbgapi2_gige.cti')
h.add_file('/opt/mvIMPACT_Acquire/lib/x86_64/mvGenTLProducer.cti')
h.update()
print(h.device_info_list)
#activates cam, light green
ia = h.create_image_acquirer(0)
#print(dir(ia.remote_device.node_map))
# ia.remote_device.node_map.load_xml_from_string('/home/gus/GigE-V/xml/Teledyne DALSA/TeledyneDALSA_Nano-IMX267-304_Mono_9M-12M_40769e92_ECA18.0014.xml')
ia.remote_device.node_map.acquisitionFrameRateControlMode = 'Programmable'
ia.remote_device.node_map.AcquisitionMode.value = 'Continuous'
ia.remote_device.node_map.ExposureMode.value = 'Timed'
ia.remote_device.node_map.ExposureTime.value = 200024
def test_issue_181_with_invalid_file(self):
h = Harvester()
with self.assertRaises(OSError):
h.add_file(__file__, check_validity=True)
def test_issue_181_with_nonexistent_file(self):
h = Harvester()
with self.assertRaises(FileNotFoundError):
h.add_file('just a string', check_existence=True)
class ImageAcquirer:
# Storage for camera modules
GigE = []
# Maximum fetch tries until reconnect and abort
fetchTimeout = None
fetchSoftReboot = None
fetchAbort = None
cv2 = None
np = None
# Function runs when initializing class
def __init__(self,
SetCameraLighting,
Config_module=None,
Warnings_module=None):
# Misc
from time import sleep
import sys
self.sleep = sleep
self.warnings = Warnings_module
self.sys = sys
# Store custom module
self.FileConfig = Config_module
# Lights function
self.SetCameraLighting = SetCameraLighting
# GenICam helper
from harvesters.core import Harvester, TimeoutException
# Init harvester
self.harvester = Harvester()
self.TimeoutException = TimeoutException
# Temperature
self.criticalTemp = self.FileConfig.Get(
"Cameras")["Generic"]["Temperature"]["Critical"]
self.warningTemp = self.FileConfig.Get(
"Cameras")["Generic"]["Temperature"]["Warning"]
# Storage for camera modules
self.n_camera = self.FileConfig.Get("QuickSettings")["ActiveCameras"]
self.ImportCTI() # import cti file
self.Scan() # check if producer is available
self.Create() # define image Acquirer objects from discovered devices
self.Config() # configure image acquirer objects
self.ImportOpenCV() # Create opencv module
# Import cti file from GenTL producer
def ImportCTI(self):
# path to GenTL producer
CTIPath = self.FileConfig.Get("Cameras")["Generic"]["CTIPath"]
from os import path
if path.isfile(CTIPath):
self.harvester.add_file(CTIPath)
else:
print(
"\nCould not find the GenTL producer for GigE\nCheck the file path given in VQuIT_config.json>Cameras>Generic>CTIPath"
)
self.sys.exit(1)
def ImportOpenCV(self):
if self.cv2 is None:
print("Importing OpenCV")
import cv2
self.cv2 = cv2
return self.cv2
def ImportNumpy(self):
if self.np is None:
print("Importing Numpy")
import numpy as np
self.np = np
return self.np
# Scan for available producers
def Scan(self):
tries = 100
for i in range(0, tries):
self.harvester.update()
foundDevices = len(self.harvester.device_info_list)
print('Scanning for available cameras... ' + str(foundDevices) +
" of " + str(self.n_camera) + " (Attempt " + str(i + 1) +
" of " + str(tries) + ")",
end='\r')
if foundDevices >= self.n_camera:
break
self.sleep(1)
if len(self.harvester.device_info_list) < self.n_camera:
print("Error: Found ", len(self.harvester.device_info_list),
" of ", self.n_camera, "requested producers in network")
self.sys.exit(1)
# print(self.harvester.device_info_list) # Show details of connected devices
# Create image acquirer objects
def Create(self):
cameraInfo = self.FileConfig.Get("Cameras")["Advanced"]
for i in range(0, self.n_camera):
try:
# Create camera instances in order written in VQuIT_Config.json>Cameras>Advanced
newIA = self.harvester.create_image_acquirer(
id_=cameraInfo[i]["ID"])
self.GigE.append(newIA)
except:
print(
"Error: ID '" + str(cameraInfo[i]["ID"]) +
"' not found\nMake sure no other instances are connected to the cameras"
)
exit()
# Configure image acquirer objects
def Config(self):
# Load configuration file (Use ["Description"] instead of ["Value"] to get a description of said parameter)
qs = self.FileConfig.Get("QuickSettings")
c = self.FileConfig.Get("Cameras")
cameraInfo = c["Advanced"]
imgFormat = c["Generic"]["ImageFormatControl"]
acquisition = c["Generic"]["AcquisitionControl"]
transport = c["Generic"]["TransportLayerControl"]
trigger = c["Generic"]["TimedTriggered_Parameters"]
fetchError = c["Generic"]["FetchError"]
# Maximum fetch tries per camera
self.fetchTimeout = fetchError["Timeout"]
self.fetchSoftReboot = fetchError["SoftReboot"]
self.fetchAbort = fetchError["Abort"]
# Jumbo packets
jumboPackets = qs["JumboPackets"]
if jumboPackets:
print("Jumbo packets Active\n")
packetSize = transport["GevSCPSPacketSize"]["Value"][0]
else:
print("\r")
self.warnings.warn(
"Running script without jumbo packets can cause quality and reliability issues"
)
self.sleep(0.2)
packetSize = transport["GevSCPSPacketSize"]["Value"][1]
# Binning
binning = qs["Binning"]
if binning:
print("Binning Active")
imgWidth = int(imgFormat["Resolution"]["Width"] / 4)
imgHeight = int(imgFormat["Resolution"]["Height"] / 4)
binningType = imgFormat["BinningType"]["Value"][1]
else:
imgWidth = imgFormat["Resolution"]["Width"]
imgHeight = imgFormat["Resolution"]["Height"]
binningType = imgFormat["BinningType"]["Value"][0]
# Set standard camera parameters
for cameraID in range(0, len(self.GigE)):
print("Setting up camera " + cameraInfo[cameraID]["Camera"] +
"...",
end="\r")
# ImageFormatControl
self.GigE[
cameraID].remote_device.node_map.PixelFormat.value = imgFormat[
"PixelFormat"]["Value"][0]
self.GigE[
cameraID].remote_device.node_map.Binning.value = binningType
self.GigE[cameraID].remote_device.node_map.ReverseX.value = False
self.GigE[cameraID].remote_device.node_map.ReverseY.value = False
# AcquisitionControl
self.GigE[
cameraID].remote_device.node_map.ExposureMode.value = acquisition[
"ExposureMode"]["Value"][0]
# TransportLayerControl
self.GigE[
cameraID].remote_device.node_map.GevSCPSPacketSize.value = packetSize # Stock: 1060 | recommended 8228
# TimedTriggered parameters
self.GigE[
cameraID].remote_device.node_map.FrameAverage.value = trigger[
"FrameAverage"]["Value"]
self.GigE[
cameraID].remote_device.node_map.MultiExposureNumber.value = trigger[
"MultiExposureNumber"]["Value"]
self.GigE[cameraID].remote_device.node_map.MultiExposureInactiveRaw.value = \
trigger["MultiExposureInactive"][
"Value"]
# Not in use
# AcquisitionPeriod (Integration time - irrelevant when using TimedTriggered)
# value: microseconds (min: 102775 µs @4096 x 3008 - BayerRG8 - Binning Disabled (Max frame rate 9.73 Hz) , max: 60s)
# Set resolution
self.SetROI(imgHeight, imgWidth)
# Start image acquisition
def Start(self):
print("\nStart image acquisition\n")
for i in range(0, len(self.GigE)):
self.GigE[i].start_acquisition()
# Set Region Of Interest resolution and center resulting image (very experimental)
def SetROI(self, height, width, disableAcquisition=None):
# Check if height and width are valid
heightMax = 3000 # Absolute max 3008
widthMax = 3072 # Absolute max 4096
if height <= heightMax and width <= widthMax:
# Increment height and width until a valid combination (for which the pixel area is dividable by 4096) is found
# (not fool proof but work with most decent aspect ratios that increment with 100)
self.warnings.warn(
"Dynamic ROI is still an experimental feature and can cause errors"
)
rightValue = False
heightMaxReached = False
while not rightValue:
# Try height and width
if ((height * width) % 4096) == 0:
rightValue = True
else:
# Try height + 1 and width
height += 1
if height > heightMax:
heightMaxReached = True
height = heightMax
if ((height * width) % 4096) == 0:
rightValue = True
else:
# Try height and width + 1
if heightMaxReached is False:
height -= 1
width += 1
if width > widthMax:
width = widthMax
if ((height * width) % 4096) == 0:
rightValue = True
else:
# Set height + 1 and width + 1 and run loop again
height += 1
if height > heightMax:
heightMaxReached = True
height = heightMax
print("Dynamic ROI calculator result: " + str(width) + "x" +
str(height))
# Change settings for all available cameras
for cameraID in range(0, len(self.GigE)):
# Check if requested resolution does not exceed the max for each camera
widthMax = self.GigE[
cameraID].remote_device.node_map.WidthMax.value
heightMax = self.GigE[
cameraID].remote_device.node_map.HeightMax.value
widthMin = 512
heightMin = 512
# Check boundaries
if width in range(widthMin, (widthMax + 1)) and height in range(
heightMin, (heightMax + 1)):
# Image acquisition cannot be on when changing this setting
if disableAcquisition is True:
self.GigE[cameraID].stop_acquisition()
# Set width and height
self.GigE[cameraID].remote_device.node_map.Width.value = width
self.GigE[
cameraID].remote_device.node_map.Height.value = height
# Set offsets
offsetX = round((widthMax - width) / 2)
offsetY = round((widthMax - width) / 2)
self.GigE[
cameraID].remote_device.node_map.OffsetX.value = offsetX
self.GigE[
cameraID].remote_device.node_map.OffsetY.value = offsetY
# Turn image acquisition back on
if disableAcquisition is True:
self.GigE[cameraID].start_acquisition()
else:
raise ValueError("Requested ROI (" + str(width) + "x" +
str(height) + ") must lie between " +
str(widthMin) + "x" + str(heightMin) +
" and " + str(widthMax) + "x" +
str(heightMax) + " for camera " +
str(cameraID))
def SetCameraConfig(self, productInfo):
# Stop image acquisition to make changes
self.Stop()
# Set configuration for all cameras based on acode of product
for cameraID in range(0, len(self.GigE)):
if (cameraID % 2) == 0:
# Camera number is even -> bottom camera
cameraPosition = "BottomCameras"
else:
# Top camera
cameraPosition = "TopCameras"
cameraConfig = productInfo["Configuration"][cameraPosition]
self.camConfig(cameraID,
exposure=cameraConfig["ExposureTime"],
gain=cameraConfig["Gain"],
blackLevel=cameraConfig["BlackLevel"])
# Set ROI
self.SetROI(2560, 2560)
# Restart image acquisition after changes are made
self.Start()
# self.data_Top_Lighting = []
# for lights in cameraConfig["Lighting"]["U"]:
# self.data_Top_Lighting.append(lights)
# for lights in cameraConfig["Lighting"]["D"]:
# self.data_Top_Lighting.append(lights)
# Tweak camera settings on the go
def camConfig(self, camNr, exposure=None, gain=None, blackLevel=None):
if exposure:
self.GigE[
camNr].remote_device.node_map.ExposureTimeRaw.value = exposure
if gain:
self.GigE[camNr].remote_device.node_map.GainRaw.value = gain
if blackLevel:
self.GigE[
camNr].remote_device.node_map.BlackLevelRaw.value = blackLevel
# Retrieve camera data
def RequestFrame(self, camNr):
cv2 = self.ImportOpenCV()
# Loop process until successful
loop = 0
fetchImage = True
while fetchImage:
loop += 1
try:
if loop > 1 and (loop % 2) is not 0:
# Wait before sending new trigger every odd try that is not the first
self.sleep(0.5)
# Turn on lights
self.SetCameraLighting(camNr, 1)
# Trigger camera
self.GigE[
camNr].remote_device.node_map.TriggerSoftware.execute()
# Wait for buffer until timeout
print("Camera " + str(camNr) + ": Fetch buffer (try " +
str(loop) + ")...",
end='\r')
with self.GigE[camNr].fetch_buffer(
timeout=self.fetchTimeout) as buffer:
print("Camera " + str(camNr) + ": Fetched (try " +
str(loop) + ")",
end='\r')
# access the image payload
component = buffer.payload.components[0]
if component is not None:
image = component.data.reshape(component.height,
component.width)
# Turn off lights
self.SetCameraLighting(camNr, 0)
# BayerRG -> RGB (Does not work proper when image is already scaled down)
image = cv2.cvtColor(image, cv2.COLOR_BayerRG2RGB)
# Transpose + flip to rotate fetched images by +-90 deg
image = cv2.transpose(image)
if camNr % 2 == 0:
# Flip x to rotate bottom cameras -90 deg
flipCode = 0
else:
# Flip y to rotate top cameras +90 deg
flipCode = 1
image = cv2.flip(image, flipCode=flipCode)
return image
except self.TimeoutException:
print("Camera " + str(camNr) + ": Fetch timeout (try " +
str(loop) + ")")
except KeyboardInterrupt:
print("Camera " + str(camNr) +
": Fetch interrupted by user (try " + str(loop) + ")")
# except:
# print("Camera " + str(camNr) + ": Unexpected error (try " + str(loop) + ")")
if loop >= self.fetchSoftReboot:
print("Camera" + str(camNr) +
": Failed...trying soft reboot (try " + str(loop) + ")")
self.SoftReboot()
if loop >= self.fetchAbort:
print("Check camera" + str(camNr) + ": Too manny tries (try " +
str(loop) + " of " + str(self.fetchAbort) + ")")
fetchImage = False
# Something went wrong
return False
# Get camera temperature
def getTemperature(self, camNr):
return float(
self.GigE[camNr].remote_device.node_map.DeviceTemperatureRaw.value
/ 100)
# Return thermal performance of the camera
def thermalCondition(self):
for i in range(0, self.n_camera):
temp = self.getTemperature(i)
if temp > self.criticalTemp:
self.warnings.warn("Camera temperature critical")
return "Critical"
elif temp > self.warningTemp:
self.warnings.warn("Camera temperature above " +
str(self.warningTemp))
return "Warning"
return "Normal"
# Get camera features
def getCameraAttributes(self):
return dir(self.GigE[0].remote_device.node_map)
# Stop image acquisition
def Stop(self):
print("Stop image acquisition")
for i in range(0, len(self.GigE)):
self.GigE[i].stop_acquisition()
# Stop image acquisition
def Destroy(self):
print("Destroy image acquire objects")
for i in range(0, len(self.GigE)):
self.GigE[i].destroy()
# Reset harvester
def Reset(self):
self.harvester.reset()
# Soft reboot
def SoftReboot(self):
self.Stop()
self.Start()
"""
##pip install git+https://github.com/genicam/harvesters.git && cd harvesters && python setup.py install
#pip install arena_api-2.1.4-py3-none-any.whl
from harvesters.core import Harvester
#Then instantiate a Harvester object; we're going to use h that stands for Harvester as its identifier.
h = Harvester()
##And load a CTI file; loading a CTI file, you can communicate with the GenTL Producer:
# ATTENTION! Please use the CTI file in the original location!
# Why? Visit https://github.com/genicam/harvesters/wiki/FAQ and
# read "I pointed out a CTI file but Harvester says the image doesn't
# exist (Part 2)."
h.add_file('C:/Users/jaf54iq/Anaconda3/Lib/site-packages/genicam')
#Note that you can add one or more CTI files on a single Harvester Core object. To add another CTI file, just repeat calling add_file method passing another target CTI file:
#h.add_file('path/to/another_gentl_producer.cti')
#And the following code will let you know the CTI files that have been loaded on the Harvester object:
h.files
#In a contrary sense, you can remove a specific CTI file that you have added with the following code:
#h.remove_file('path/to/gentl_producer.cti')
#And now you have to update the list of remote devices; it fills up your device information list and you'll select a remote device to control from the list:
h.update()
#The following code will let you know the remote devices that you can control:
class Camera_harvester(Camera_template):
def __init__(self, producer_paths=None):
super(Camera_harvester, self).__init__()
self.name = "Harvester"
##Harvester object used to communicate with Harvester module
self.h = Harvester()
##paths to GenTL producers
self.paths = []
if (producer_paths):
for path in producer_paths:
self.add_gentl_producer(path)
##Image acquifier object used by Harvester
self.ia = None
def get_camera_list(self, ):
"""!@brief Connected camera discovery
@details Uses Harvester object to discover all connected cameras
@return List of Dictionaries cantaining informations about cameras
"""
self.h.update()
self.devices_info = []
for device in self.h.device_info_list:
d = {
'id_': device.id_,
'model': device.model,
'vendor': device.vendor
}
self.devices_info.append(d)
return self.devices_info
def select_camera(self, selected_device):
"""!@brief choose camera to connect to
@details Select camera you will be using and set Camera object accordingly
@param[in] selected_device ID of a camera you want to connect to
"""
#translate selected device to index in harvester's device info list
for index, camera in enumerate(self.devices_info):
if camera['id_'] == selected_device:
harvester_index = index
break
self.active_camera = harvester_index
self.ia = self.h.create_image_acquirer(harvester_index)
try:
self.ia.remote_device.node_map.GevSCPSPacketSize.value = 1500
except:
pass
def get_parameters(self,
feature_queue,
flag,
visibility=Config_level.Unknown):
"""!@brief Read parameters from camera
@details Loads all available camera parameters
@param[in] feature_queue each parameter's dictionary is put into
this queue
@param[in] flag used to signal that the method finished (threading object)
@param[in] visibility Defines level of parameters that should be put in
the queue
@return True if success else False
"""
features = dir(self.ia.remote_device.node_map)
for feature in features:
if (feature.startswith('_')):
continue
try:
feature_obj = getattr(self.ia.remote_device.node_map,
feature).node
feature = getattr(self.ia.remote_device.node_map, feature)
#Some information is accessible through harvester feature,
#for some information we need to go deeper into Genapi itself
feat_acc = feature_obj.get_access_mode()
except:
continue
#according to genicam standard
#0 - not implemented
#1 - not availablle
#3 - write only
#4 - read only
#5 - read and write
if (feat_acc == 0 or feat_acc == 1):
continue
feat_vis = feature_obj.visibility
if (feat_vis < visibility):
features_out = {}
features_out['name'] = feature_obj.name
#disp_name = feature.get_display_name()
features_out['attr_name'] = feature_obj.display_name
#Set feature's write mode
try:
if (feat_acc == 5 or feat_acc == 3):
attr = False
else:
attr = True
except:
attr = None
features_out['attr_enabled'] = attr
#Get feature's type if it exists
#intfIValue = 0 #: IValue interface
#intfIBase = 1 #: IBase interface
#intfIInteger = 2 #: IInteger interface
#intfIBoolean = 3 #: IBoolean interface
#intfICommand = 4 #: ICommand interface
#intfIFloat = 5 #: IFloat interface
#intfIString = 6 #: IString interface
#intfIRegister = 7 #: IRegister interface
#intfICategory = 8 #: ICategory interface
#intfIEnumeration = 9 #: IEnumeration interface
#ntfIEnumEntry = 10 #: IEnumEntry interface
#intfIPort = 11 #: IPort interface
try:
attr = feature_obj.principal_interface_type
if (attr == 2):
attr = "IntFeature"
elif (attr == 3):
attr = "BoolFeature"
elif (attr == 4):
attr = "CommandFeature"
elif (attr == 5):
attr = "FloatFeature"
elif (attr == 6):
attr = "StringFeature"
elif (attr == 9):
attr = "EnumFeature"
else:
attr = None
except:
attr = None
features_out['attr_type'] = attr
features_out['attr_enums'] = None
features_out['attr_cat'] = None
#Get feature's value if it exists
try:
attr = feature.value
except:
attr = None
features_out['attr_value'] = attr
#Get feature's range if it exists
try:
attr = [feature.min, feature.max]
except:
attr = None
features_out['attr_range'] = attr
#Get feature's increment if it exists
try:
attr = feature.inc
except:
attr = None
features_out['attr_increment'] = attr
#Get feature's max length if it exists
try:
attr = feature.max_length
except:
attr = None
features_out['attr_max_length'] = attr
try:
attr = feature_obj.tooltip
except:
attr = None
features_out['attr_tooltip'] = attr
feature_queue.put(features_out)
flag.set()
return
def read_param_value(self, param_name):
"""!@brief Used to get value of one parameter based on its name
@param[in] param_name Name of the parametr whose value we want to read
@return A value of the selected parameter
"""
try:
val = getattr(self.ia.remote_device.node_map, param_name).value
return val
except:
return None
def set_parameter(self, parameter_name, new_value):
"""!@brief Method for setting camera's parameters
@details Sets parameter to value defined by new_value
@param[in] parameter_name A name of the parameter to be changed
@param[in] new_value Variable compatible with value key in parameter
@return True if success else returns False
"""
try:
getattr(self.ia.remote_device.node_map,
parameter_name).value = new_value
except:
return False
def execute_command(self, command_feature):
"""@brief Execute command feature type
@param[in] command_feature Name of the selected command feature
"""
try:
getattr(self.ia.remote_device.node_map, command_feature).execute()
except:
pass
def get_single_frame(self, ):
"""!@brief Grab single frame from camera
@return Unmodified frame from camera
"""
self.ia.start_acquisition()
with self.ia.fetch_buffer() as buffer:
frame = buffer.payload.components[0]
pixel_format = self.ia.remote_device.node_map.PixelFormat.value
return [frame.data, pixel_format]
self.ia.stop_acquisition()
def load_config(self, path):
"""!@brief Load existing camera configuration
@param[in] path Defines a path and a name of the file containing the
configuration of the camera
@return True if success else False
"""
param = {}
val = None
attr_type = None
with open(path, 'r') as config:
config_dense = (line for line in config if line)
for line in config_dense:
line = line.rstrip('\n')
if line.startswith('attr_value') and param:
val = line.split('=')
if (attr_type[1] == 'IntFeature'):
self.set_parameter(param, int(val[1]))
elif (attr_type[1] == 'FloatFeature'):
self.set_parameter(param, float(val[1]))
elif (attr_type[1] == 'EnumFeature'):
self.set_parameter(param, val[1])
elif (attr_type[1] == 'BoolFeature'):
if (val[1] == 'True'):
self.set_parameter(param, True)
else:
self.set_parameter(param, False)
elif (attr_type[1] == 'StringFeature'):
self.set_parameter(param, val[1])
val = None
param.clear()
attr_type = None
elif line.startswith('attr_type') and param:
attr_type = line.split('=')
elif line.startswith('name'):
param['name'] = line.split('=')[1]
val = None
return True
def save_config(self, path):
"""!@brief Saves configuration of a camera to .xml file
@param[in] path A path where the file will be saved
"""
#At the time of writing this code not Harvester nor genapi for Python
#supported saving .xml config, so the format of saved data created
#here is nonstandard and simplified for now.
#More here https://github.com/genicam/harvesters/issues/152
parameters = queue.Queue()
tmp_flag = threading.Event()
self.get_parameters(parameters, tmp_flag, Config_level.Invisible)
with open(path, 'w') as config:
while not parameters.empty():
param = parameters.get_nowait()
for key, val in param.items():
config.write(key + "=" + str(val) + '\n')
config.write('\n')
def _frame_producer(self):
"""!@brief Gets frames from camera while continuous acquisition is active
@details Loads frames from camera as they come and stores them
in a frame queue for consumer thread to process. The thread
runs until stream_stop_switch is set
"""
self.ia.start_acquisition()
while (not self._stream_stop_switch.is_set()):
with self.ia.fetch_buffer() as buffer:
frame = buffer.payload.components[0]
pixel_format = self.ia.remote_device.node_map.PixelFormat.value
global_queue.frame_queue[self.cam_id].put_nowait(
[frame.data.copy(), pixel_format])
#data should contain numpy array which should be compatible
#with opencv image ig not do some conversion here
self.ia.stop_acquisition()
def disconnect_camera(self):
"""!@brief Disconnect camera and restores the object to its initial state"""
self.stop_recording()
self.disconnect_harvester()
global_queue.remove_frame_queue(self.cam_id)
self.__init__()
#______________Unique methods___________________
def disconnect_harvester(self, ):
"""!@brief Destroys harvester object so other APIs can access cameras
"""
self.h.reset()
def add_gentl_producer(self, producer_path):
"""!@brief Add a new frame producer to the harvester object
@details Adds .cti file specified by producer_path to the harvester object
@param[in] producer_path Path to a .cti file
@return list of all active producers
"""
if (not producer_path in self.paths):
if (producer_path.endswith(".cti")):
self.h.add_file(producer_path)
self.paths.append(producer_path)
return self.paths
def remove_gentl_producer(self, producer_path):
"""!@brief Remove existing frame producer from the harvester object
@details Removes .cti file specified by producer_path from the harvester object
@param[in] producer_path Path to a .cti file
@return tuple of a list of remaining gentl producers and boolean value signaling whether the removal was succesful
"""
if (producer_path in self.paths):
self.paths.remove(producer_path)
self.h.remove_file(producer_path)
return (self.paths, True)
else:
return (None, False)
def get_gentl_producers(self):
"""!@brief Used to get a list of all path used by Harvesters in a
present moment
@return List of defined cti file paths
"""
return self.paths