User Guide

This section provide a guide to configure Scorpion 2DScanner.

The scanner has the following properties:

• Multiple area scan cameras can be connected

• Each connected camera have these feature

  • resampler, optional, clipping, resampling or both

  • filter, optional, shading correction or custom filter

  • image FIFO buffer, optional

• The camera images are stitched together

• Each camera can be shading corrected

• Each camera can be 2D or 3D calibrated

A 3D calibrated 2Dscanner is a 3D Scanning device

• The stiching with 3D calibration is superior to 2D

• Working with stiching of multiple cameras 3D calibration is in the essence

The 2DScanner resamples and receive each camera in a separate thread. Moving resampling to the 2DScanner improves performance, ease of use and abstraction.

• It will also increase the latency and possibly decrease the framerate

Image flow

The image flow from cameras to the final scanner image consist of several steps

• acquisition - fetching image from camera

• resampling - resampling, either clipping or resample to calibrated image

• filter - filtering of resamplet image from camera

• stitching - inserting partial image into the final scanner image matrix - row/column

Resampling

The incoming image may be clipped and/or resampled by a an external calibration file. The calibration file is typically created by Scorpion calibration profiles. Resampling is performed in SVLResample.dll.

Resampler options is name of calibration file, absolute path or relative to 2DScanner.ini.

Filtering

The 2D Scanner camera driver supports optional per-camera image filters configured in the system INI file. A filter is created once when the camera is opened and applied to every acquired frame before the image is passed to the scanner pipeline.

Each camera section and each calibration sub-section can have its own independent filter configuration.

Stitching

Each subimage is put into a matrix of column due to camera index and row due to no of stripes in final scanner image. If timeout if used and the time expires, the missing columns is filled with static pixel values.

Installation

The 2DScanner SCD - Scorpion Camera Driver is a virtual camera driver

• Installed by the Scorpion Vision Installer.

• Use like any other camera driver

  • Has no GUI

  • Is configured directly using the 2DScanner.ini file

• Multiple 2DScanners can be installed in a profile.

• The Scorpion Camera drivers used is specified in the configuration file.

Configuration file

The configuration file 2DScanner.ini is located in the Scorpion profile’s Hardware folder. If missing, create the file manually by using a appropriate example from this documentation.

The inifile has multiple sections

• Config - common section

• Scanner<nnnn> - individual scanner 1..n configuration

• Scanner<nnnn>.Camera<n> - individual scanner n’s camera configuration

Note

There are samples of the configuration file at the end of this guide

Config Section

Common setup for all scanners in the config file

Key	Default	Description
CameraDriver	<driver.dll>	name of Scorpion Camera Driver for actual cameras attached - SCD
FilterDLL	SVLImageFilter.dll	name of Scorpion Standard filter dll
ResampleDLL	SVLResample.dll	name of Scorpion Standard Resampling dll
ResampleMode	0	0 - bilinear 1 - nearest neighbor 2 - wide 3 - fast wide
Verbose	0	debug level 0..n 0 - errors only 1 - info messages 2 - debug messages, detailed

Note

CameraDriver must be the same for all cameras connected to a 2DScanner

Example: HVGrab_1_0_4_46.dll - it is required that the SCD SDK is installed

Note

ResampleMode is default bilinear=0 which provides the best resampling - other modes may improve scanning rate

• bilinear is the most accurate resampler

• nearest neighbour is the fastest

The ResampleDLL - SVLResample.dll is distributed in Scorpion - not adviced to change.

Scanner<nnnn> section

Common setup for all cameras for a single scanner, Scanner<nnnn>. Values in the common section are used for this scanner’s camera values if omitted in the individual camera section.

Key	Default	Description
Cameras	1	Number of ‘horizontal’ camera images in stitched image
Scans	1	Number of ‘vertical’ scans in stiched image
ActiveGrabTimeout	0	Timeout period in milliseconds between triggers or images.
MinScans	0	Minimum scan count to accept the image when a timeout occurs.
Overlap	0	Number of scans overlap copied to the next image
Scale_x	1.0	‘vertical’ scale of each camera image, defaults to 1 (not yet implemented)
Scale_y	1.0	‘horizontal’ scale of each camera image, defaults to 1 (not yet implemented)
TopLeft_x	0	Top left corner x offset in object coordinates relative to calibration (0,0) when calibration file is used, else offset in pixels
TopLeft_y	0	Top left corner y offset in object coordinates relative to calibration (0,0) when calibration file is used, else offset in pixels
Size_x	100	Resamling height of final image in object coordinates or pixels
Size_y	100	Resamling width of final image in object coordinates or pixels
Angle	0	ROI angle in degrees
Pitch_x	1.0	Pixelsize x in outgoing image
Pitch_y	1.0	Pixelsize x in outgoing image
PassThru	<empty>	Index of raw images to pass thru to Scorpion while scanning. - will disable passtrhru should be empty in runtime systems
Active	0	Active or passive image defines if the raw image should be passed before or after stitched image when scan is complete. If Active, the stitched image is passed to application before the origin, else after stitched image. NOTE! applies to images in PassThru list only.
Threaded	1	Threaded resampling. May be turned off for small images/short resampling time.

Note

When multiple cameras, ie. stitching each ‘stripe’ horizontally, the TopLeft_y for next camera is by default TopLeft_y+Size_y of previous camera, assuming each camera is calibrated to same origin (0,0).

Each parameter Scale / TopLeft / Size / Pitch / Threaded may be overriden for each camera by inserting the keys into the corresponding Scanner<nnnn>.Camera<n> section, see later examples.

When using camera specific calibration file for each camera, TopLeft should be set in each camera section.

Note

Overlap used to created overlapped images

• Useful when individual objects are scanned on a conveyor.

The overlap defines the partial scan images or scans to be copied to the next images.

Note

PassThru a python inspired comma separated list of indexes

• “0” passes all.

• ‘’ or ‘-’ to disables passthru.

• “1,-1” equals first and last image in scan is passed to scorpion.

disable when running fast rumors of a memory leak

Negative values are from end of the list

should be empty and disabled in runtime systems

Note

MinScan applies when ActiveGrabTimeOut > 0

If MinScans>0

• MinScans is number of scans allowed missed.

If no of scans is less than MinScan on timeout, current partial scan is discarded.

If MinScans=0

• All timeout scan are silently discarded

• Useful when two images are required to be in sync - eg Stereo Vision

Scanner<nnnn>.Camera<n> section

Individual setup for each scanners camera. The file is located in the profiles hardware folder.

Resampling and Filter configuration

Resampling input image by using a pose2D calibration file from Scorpion. The calibration file contains both intrinsic and extrintric characteristics of the camera. Typically the calibration file is generated by a separate Scorpion calibration profile using the same camera and configuration used by the 2DScanner. The calibration defines a origin with coordinates (0,0). The resampler ROI topleft and size is relative to the origin point, and given in object coordinates.

In cases where the calibration is done on a sub image of the raw image, the same sub image may be specified by the crop offset and size parameters in the 2DScanner configuration file. The offset and size must be set according the sub image used in the calibration profile.

Key	Default	Description
Port	0	Cross index to physical camera’s port number, 0-indexed
Fifo	0	Number of images delay before sent to Scorpion. Useful when the stitched image contains the same object captured by two ore more cameras at different time. Requires triggging of cameras due to object movement, typically HW trigged by encoder or similar. While filling up the fifo, partial images from this camera in the complete stitched image will be black (pixel value 0). See reset command for resetting the fifo.
ImageFilterArgs		Filename of shading correction image, empty if no filter is used. The file image must be of same size as the output from resampler if calibrated, else same size as camera image.
ImageFilterOptions	-t0-g1.0-o0	Targetvalue, gain and offset. Gain as float +/- 1, offset in +/- pixel value added after applied gain.
CalibFile		Name of calibration file for actual camera. Running scanner in pixel mode, ie without calibration, set Calibfile to empty or pixels. Calibfile must be set with absoulte path or relative to this file’s location. TopLeft and Size must be set according to calibration file.
CropOffset_x	0	Resampler topleft pixel offset x in raw input image (integer)
CropOffset_y	0	Resampler topleft pixel offset y in raw input image (integer)
CropSize_x	0	Resampler crop size height in pixels (integer)
CropSize_y	0	Resampler crop size width in pixels (integer)
Centers		Dynamic ROI centers, a list of round-robin center postions of format (x0,y0),…,(xn,yn). Optional. May be used for stitching of moving objects. The center point index is incremented round-robin for each image indepenent of the Scans parameter. The center point index is reset on scanner reset command. Centers overrides single TopLeft_x and TopLeft_y parameters.
Angles		Dynamic ROI rotation, a list of round-robin angles in format a0,…,an. Optional. The angle index is reset on scanner reset command. Angles override single Angle parameter.

Note

FIFO is a buffer to delay the camera images to sync with other cameras before stitching

• This can be used to synch images in time when they are captured in different position

• Useful to reduce time difference when camera positions differs

Note

Multiple calibration height/levels may be added by duplicating Scanner<nnnn>.Camera<n> sections and postfixing Scanner<nnnn>.Camera<n>.Calib<c>, where <c> is 1 to max calibrations.

Copy actual keys different from parent section Scanner<nnnn>.Camera<n> and modify for actual calibration height.

Calibration height may be set by modifying property calib, See examples for a configuration sample.

Note

Shading correction and calibration files are relative to the 2DScanner.ini directory.

Calibration files are normally located in the Scorpion profile’s Calibration/2D folder

Swithing between calibration files may be set by setProperty(“Calib”,index)

Filter options where changed in version 1.0.0.27 - see release notes

Note

Dynamic ROI, Centers and Angles parameters, increases the resampling time for calibrated systems. For none calibrated systems, where ‘resampling’ works in pixelmode with angle 0, moving ROI centers have no resampling overhead.

Note

Recommended port numbering:

• Port=0 for camera 1

• Port=1 for camera 2

Duplicates might cause confusion

Example 1 : Dynamically changing calibfile

Changing calibration when configuration contains multiple calibrations, typically multiple calibration heights.

cam = GetCamera('Scanner0001')   # get scanner
cam.setProperty('Calib',1)       # switch to calibration #1

Filters

The following keys are read from any [Scanner<id>.Camera<n>] or [Scanner<id>.Camera<n>.Calib<n>] section:

Note

CalibFile in the same section refers to the geometric/lens calibration used by the scanner and is independent of the image filter.

Option tokens in ImageFilterOptions may be written with spaces between them or concatenated — both forms are equivalent:

ImageFilterOptions = -t92 -fgray -g1.0 -o0
ImageFilterOptions = -t92-fgray-g1.0-o0

Flat-Field Filter (f)

Corrects uneven illumination across the image — vignetting, lens fall-off, and sensor non-uniformity. The correction is based on a calibration image captured under uniform illumination with the same lens and lighting as production scanning. Every pixel in the acquired frame is divided by the corresponding pixel in the calibration image (normalised to a target white-point value), then an optional gain and offset are applied.

The filter also supports Bayer-pattern cameras: if the source image is raw Bayer (single channel, 8- or 16-bit) and the output is colour (3 channels), demosaicing is performed automatically before flat-field correction.

The calibration image should be a well-exposed flat-field image — typically a uniform white target or a diffuse light source — acquired with the same gain, exposure, and gamma settings as production scanning. It is specified with ImageFilterArgs (or PreFilter in calibration sub-sections).

The image can be any format supported by OpenCV (BMP, PNG, TIFF, …). It is loaded once at startup; if the file does not exist the filter starts in an uncalibrated state and will produce an error on every frame.

-f<format>

Colour space to load the calibration image as. This must match the pixel format delivered by the camera:

Value	Camera output format
gray	8-bit greyscale (1 channel)
bgr	8-bit BGR colour (3 channels)
rgb	8-bit RGB colour (3 channels)
bgra	8-bit BGRA colour with alpha (4 channels)
rgba	8-bit RGBA colour with alpha (4 channels)
(omitted)	Load unchanged — format as stored in the file

-t<value>

White-point target value. The calibration image is normalised so that this value corresponds to an output of the original pixel value (no correction applied). Pixels brighter than the target are corrected downward; darker pixels are corrected upward.

• Default 0 — the driver uses the maximum pixel value found in the calibration image as the target.

• Typical values: 92 for a sensor with a white-point near 92 counts; 255 for an 8-bit sensor; 4095 for a 12-bit sensor.

-g<value>

Gain multiplier applied to the corrected image. Type: decimal number. Default: 1.0. Must be greater than zero.

• 1.0 — no change in brightness (use this for calibration contexts)

• 0.5 — halves output brightness (darkens the image)

• 2.0 — doubles output brightness (brightens the image)

-o<value>

Additive offset applied after gain. Type: decimal number. Default: 0.0. Range: -256 to 255. Use to shift the black level up or down.

Greyscale camera — live acquisition vs. calibration context

Gain 0.5 during live scanning, 1.0 during calibration acquisition so the scanner receives unattenuated images for geometric calibration:

[Scanner0001.Camera1]
Port                = 0
ImageFilterType     = f
ImageFilterArgs     = ..\Calibration\2D\grayscale\20210212-190300_SP-0160-SN4564-MEL3-RightTop2D-Calib_(02E16700514)_Gain17_Gamma750_Expo1200_BlackLevel240_brRed2033_brGreen1024_brBlue2022.bmp
ImageFilterOptions  = -t92 -fgray -g0.5 -o0

[Scanner0001.Camera1.Calib1]
ImageFilterType     = f
ImageFilterArgs     = ..\Calibration\2D\grayscale\20210212-190300_SP-0160-SN4564-MEL3-RightTop2D-Calib_(02E16700514)_Gain17_Gamma750_Expo1200_BlackLevel240_brRed2033_brGreen1024_brBlue2022.bmp
ImageFilterOptions  = -t92 -fgray -g1.0 -o0

Colour BGR camera

No target override — the white-point is taken from the calibration image maximum:

[Scanner0001.Camera2]
Port                = 1
ImageFilterType     = f
ImageFilterArgs     = ..\Calibration\2D\color\calib_bgr.bmp
ImageFilterOptions  = -fbgr -g1.0 -o0

[Scanner0001.Camera2.Calib1]
ImageFilterType     = f
ImageFilterArgs     = ..\Calibration\2D\color\calib_bgr.bmp
ImageFilterOptions  = -fbgr -g1.0 -o0

12-bit Bayer camera → 8-bit BGR output

The camera delivers raw Bayer frames. The driver demosaices to BGR before applying flat-field correction. The -f option selects the Bayer pattern of the sensor (gr, rg, gb, or bg). The target is set to 4000 counts, typical for a well-exposed 12-bit flat image:

[Scanner0001.Camera3]
Port                = 2
ImageFilterType     = f
ImageFilterArgs     = ..\Calibration\2D\bayer\calib_bgr.bmp
ImageFilterOptions  = -t4000 -fgb -g1.0 -o0

[Scanner0001.Camera3.Calib1]
ImageFilterType     = f
ImageFilterArgs     = ..\Calibration\2D\bayer\calib_bgr.bmp
ImageFilterOptions  = -t4000 -fgb -g1.0 -o0

Option	Default	Effect
-f<format>	(file)	Camera pixel format / Bayer pattern: gray bgr rgb bgra rgba gr rg gb bg
-t<int>	0	White-point target; 0 = use calib image max
-g<double>	1.0	Brightness gain (must be > 0)
-o<double>	0.0	Black-level offset (−256 … 255)

CLAHE Filter (h)

CLAHE (Contrast Limited Adaptive Histogram Equalisation) improves local contrast in images where the scene contains both bright and dark regions that cannot both be well-exposed simultaneously. Unlike a global brightness adjustment, CLAHE divides the image into small tiles and equalises the contrast within each tile independently, preventing over-amplification of noise.

The result is then mapped from the 16-bit working range to 8-bit output through a configurable lookup table (LUT).

CLAHE does not require a calibration image. ImageFilterArgs must be left empty.

-c<value>

CLAHE clip limit. Controls how aggressively local contrast is stretched. Type: decimal number. Default: 2.0.

• Higher values (e.g. 4.0) produce stronger contrast enhancement but can amplify noise.

• Lower values (e.g. 1.0) are more conservative.

• 0 disables CLAHE entirely — only the LUT is applied.

-s<height>,<width>

Tile grid size for local histogram equalisation. Both values are integers. Default: 8,8.

• Smaller tiles (e.g. 4,4) adapt more locally — better for images with rapid spatial variation in brightness.

• Larger tiles (e.g. 16,16) produce smoother, more global results.

• Setting either value to 0 disables CLAHE (LUT only).

-m<mode>

Colour mode — which colour-space channel CLAHE is applied to. Only relevant for colour (3-channel) input. Ignored for greyscale.

Value	Behaviour
v	HSV — CLAHE on the Value channel only. Enhances brightness while preserving colour. (default)
l	LAB — CLAHE on the Lightness channel only. Similar to HSV but with better perceptual uniformity.
r	RGB — CLAHE applied independently to each colour channel. Stronger effect but may shift colour balance.

-l<lut>

Lookup table mapping the 16-bit CLAHE result to 8-bit output. Format: <type><maxval>,<param>,…

<maxval> is the maximum expected pixel value of the source image. Use 4095 for 12-bit cameras (most industrial cameras). Use 65535 for full 16-bit sensors.

Three LUT shapes are available:

g<max>,<gamma> — Gamma curve

Maps the input range to 8-bit using a power function. gamma=1.0 is a straight linear mapping (no contrast change). Values below 1.0 lift shadows; values above 1.0 compress them.

Examples:

-lg4095,1.0    linear, 12-bit source          (default)
-lg4095,0.7    mild shadow lift
-lg65535,1.0   linear, 16-bit source

s<max>,<contrast>,<midpoint> — Sigmoid S-curve

Creates a classic S-shaped tone curve that compresses extreme highlights and shadows while stretching mid-tones. contrast controls the steepness of the S (default 10.0). midpoint shifts the centre of the curve (0–1, default 0.5).

Examples:

-ls4095,8.0,0.5    moderate S-curve, centred
-ls4095,12.0,0.4   strong S-curve, shifted toward shadows

r<max>,<detail> — Reverse sigmoid (detail enhancer)

A reverse S-curve that simultaneously lifts shadows and compresses highlights, revealing detail at both ends of the tonal range. detail controls the strength (0–1, default 0.6).

Examples:

-lr4095,0.6    moderate detail enhancement
-lr4095,0.8    strong detail enhancement

Default if -l is omitted: g4095,1.0 (linear gamma, 12-bit).

12-bit mono camera — local contrast enhancement

Linear LUT with default CLAHE settings:

[Scanner0001.Camera4]
Port                = 3
ImageFilterType     = h
ImageFilterArgs     =
ImageFilterOptions  = -lg4095,1.0 -c2.0 -s8,8

[Scanner0001.Camera4.Calib1]
ImageFilterType     = h
ImageFilterArgs     =
ImageFilterOptions  = -lg4095,1.0 -c2.0 -s8,8

16-bit colour camera — HSV CLAHE with sigmoid LUT

Stronger CLAHE with finer tiles and a sigmoid LUT for better visual contrast in mid-tones:

[Scanner0001.Camera5]
Port                = 4
ImageFilterType     = h
ImageFilterArgs     =
ImageFilterOptions  = -ls4095,8.0,0.5 -c3.0 -s16,16 -mv

[Scanner0001.Camera5.Calib1]
ImageFilterType     = h
ImageFilterArgs     =
ImageFilterOptions  = -ls4095,8.0,0.5 -c3.0 -s16,16 -mv

LUT-only — gamma compression without CLAHE

Disable CLAHE with -c0 and apply only a gamma LUT to compress a 12-bit range to 8-bit with a mild shadow lift:

[Scanner0001.Camera6]
Port                = 5
ImageFilterType     = h
ImageFilterArgs     =
ImageFilterOptions  = -lg4095,0.7 -c0

Option	Default	Effect
-c<double>	2.0	CLAHE clip limit; 0 = LUT only
-s<int>,<int>	8,8	Tile grid size H,W; 0 = LUT only
-m<char>	v	Colour mode: v HSV / l LAB / r RGB
-l<lut>	g4095,1.0	LUT shape and range (see above)

Resampler and Filter properties

Property	Access	Default	Description
camera<n>.resampler.active	R		boolean, enabled resampling
camera<n>.resampler.height	R		single scan height in pixels
camera<n>.resampler.width	R		single scan width in pixels
camera<n>.resampler.calibfile	R		string, accessible by executeCmd
camera<n>.filter.active	R/W		boolean, enabled filtering
camera<n>.filter.targetvalue	R/W	0	calibration image scaling value, calibmax is used if set to 0
camera<n>.filter.calibmin	R		min pixel value in calibration image
camera<n>.filter.calibmax	R		max pixel value in calibration image

Console window with verbose messages

Note

Setting camera properties via scanner synchronizes properties for all attached cameras and is very useful and faster than accessing each camera.

• Any camera property can be accessed with scanners setProperty.

• Getting camera properties must be accessed individual, either from actual camera or

cam = GetCamera('Scanner0001')   #get the scanner camera
cam.setProperty('exposure', 1000)  #set continous for all attached cameras

Supported properties

Properties may be accessed by either Scorpion commands or Python camera interface. Cameras attached the scanner may be accessd by prefixing property name by camera<1..b>, i.e “camera1.exposure”

Property	Access	Default	Description
scanCount	R/W	1	configuration value
calib	W	0	set index of optional calibration files for all cameras
minScanCount	R/W	0	configuration value
activeGrabTimeout	R/W	0	configuration value ms
overlap	R/W	0	configuration value
count	R/W		current scans in buffer. After completed scan, count is set to 0. By setting count>1 copies the previous scans to top creating an image overlap.
pixelsize	R	8	mirrored value from camera
width	R		total image width
height	R		total image height
passthru	W	1	set partial image passthru, see PassThru configuration. Set to outside scanCount range to disable passthru.
scanTime	R		total time from first image received until scan complete (ActiveGrabTime)
trigTime	R		average trigger period of last scan
activeGrabTimeoutCount	R		no of timeouts since initied
cameras	R		no of configured cameras
verbose	R/W	0	print messages to console, 0=None, 1=debug If verbose, for each image received, a console message will be generated, showing time consumption of operations performed image collection from camera shading correction resampling total processing time
camera<n>.<prop>			Access attached camera property

Supported commands

Commands may be sent to scanners via Scorpion Python camera interface.

Command	Parameters	Description
reset	fill=value fifo=1	reset scan counters. If optional fill parameter is given, image buffer will be set to value, else kept unchanged. Optional fifo=1 resets fifo for scanners attached cameras.
trig	fill=value	force trig even if scan is not complete. Remaining scans are filled with value if specified, else data is kept unchanged
clear	fill=value	clear image buffer for uncomplete scans. If fill parameter is given, pixel value will be set to value, else 0
stat		prints scanner status to console
set	prop=value	access to any property, including properies supported by setProperty
get	prop=name	returns property value as string, including properties supported by getProperty and following special properties camera<n>.resampler.CalibName camera<n>.filter.Args camera<n>.filter.Options

Examples - properties

Example 2a - Set 2DScanner Properties for all cameras

cam = GetCamera('Scanner0001')     #get the scanner camera
cam.setProperty('continous', 1)    #set continous for all attached cameras
cam.setProperty('exposure', 1000)  #set exposure for all attached cameras

Example 2b - Get property enumerated with cameraN

exposure = cam.getProperty('camera1.exposure', 1)  #get specific camera

Example 2c - Get property using GetCamera(name)

exposure = GetCamera('0').getProperty('exposure')  # equals above

Example 2d - Set 2DScanner Properties

cam = GetCamera('Scanner0001')
cam.setProperty('scanCount', 6)
cam.setProperty('activeGrabTimeout', 6)

Examples - scripts

Example 3a - executeCmd(‘get’,’value=imageStatus’) for Scanner0001 and 0002

def imagestatus():
  cameras = (‘Scanner0001’,’Scanner0002’)

  for cam in cameras:
    print cam,GetCamera(cam).executeCmd('get','value=imageStatus')

# output

[10:41:13:950] Scanner0001 {'imageCount': 2061, 'activeGrabTimeoutCount': 0,'activeGrabTime': 1577, 'trigTime': 65, 'camera0': {'imageCount': 49464, 'activeGrabTimeoutCount': 0}}
[10:41:13:950] Scanner0002 {'imageCount': 2061, 'activeGrabTimeoutCount': 0,'activeGrabTime': 1577, 'trigTime': 65, 'camera0': {'imageCount': 49464, 'activeGrabTimeoutCount': 0}}

Example 3b - executeCmd(‘get’,’value=imageStatus’))

def imagestatus(): # multiple cameras connected to scanner
  print 50*'-'
  status = eval(GetCamera('Scanner0001').executeCmd('get','value=imageStatus')) # imageStatus is returned as a string
  print 'imcnt:',status['imageCount'], 'aGrabTimeoutCnt:',status['activeGrabTimeoutCount'],
  print 'activeGrabTime:',status['activeGrabTime'], 'trigTime:',status['trigTime']
  print 'cam1:',status['camera0']
  print 'cam2:',status['camera1']
  print 'cam3:',status['camera2']

# output

imcnt: 1855 aGrabTimeoutCnt: 0 activeGrabTime: 1891 trigTime: 210
cam1: {'activeGrabTimeoutCount': 2, 'imageCount': 16707}
cam2: {'activeGrabTimeoutCount': 2, 'imageCount': 16707}
cam3: {'activeGrabTimeoutCount': 2, 'imageCount': 16707}

Example 3c - executeCmd(‘stat’)

print GetCamera('Scanner0001').executeCmd('stat') # prints stats to console

# output to console

Scanner0001: last scan 1657 ms, avg trig period 184 ms
Image count 690 timeout count 0
Cam[1] image count 0 total 6218 timeouts 1
Cam[2] image count 0 total 6218 timeouts 1
Cam[3] image count 0 total 6218 timeouts 1

Example 4 - executeCmd(‘reset’,’fill=0’)

cam = GetCamera('Scanner0001')
cam.executeCmd('reset','fill=0')

Example 5 - setProperty(‘verbose’,1) - will output scanner information

The verbose property is good for seeing the details of the image flow

def verbose():
  cam = GetCamera('Scanner0001')
  if cam.getProperty('verbose') == 0:
    cam.setProperty('verbose',1)
  else:
    cam.setProperty('verbose',0)

# sample output

[09:36:55:311] Scanner0001.0 [1/8] 2.7 | 5.1 | 0.0 | 8.0 ms
[09:36:55:311] Scanner0001.1 [1/8] 0.3 | 5.2 | 0.0 | 5.7 ms
[09:36:55:312] Scanner0001.0 [2/8] 0.2 | 4.6 | 0.0 | 5.4 ms
[09:36:55:312] Scanner0001.1 [2/8] 0.2 | 5.1 | 0.0 | 5.5 ms
                           *   *    *     *     *     *
                           1   2    3     4     5     6

 * 1 - image source
 * 2 - partial counters
 * 3 - transfer time
 * 4 - resamling time
 * 5 - filter time
 * 6 - total processing time