pylablib.devices.BitFlow package

Submodules

pylablib.devices.BitFlow.BitFlow module

exception pylablib.devices.BitFlow.BitFlow.BitFlowError

Bases: DeviceError

Generic BitFlow devices error

add_note()

Exception.add_note(note) – add a note to the exception

args

with_traceback()

Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.

exception pylablib.devices.BitFlow.BitFlow.BitFlowTimeoutError

Bases: BitFlowError

BitFlow frame timeout error

add_note()

Exception.add_note(note) – add a note to the exception

args

with_traceback()

Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.

class pylablib.devices.BitFlow.BitFlow.TDeviceInfo(idx, model, idreg)

Bases: tuple

idreg

idx

model

pylablib.devices.BitFlow.BitFlow.list_cameras()

List all cameras available through BitFlow interface

pylablib.devices.BitFlow.BitFlow.get_cameras_number()

Get number of connected BitFlow cameras

class pylablib.devices.BitFlow.BitFlow.BitFlowFrameGrabber(bitflow_idx=0, bitflow_camfile=None, do_open=True, **kwargs)

Bases: IROICamera

Generic BitFlow frame grabber interface.

Compared to BitFlowCamera, has more permissive initialization arguments, which simplifies its use as a base class for expanded cameras.

Parameters:

• bitflow_idx – board index, starting from 0

• bitflow_camfile – if not None, a path to a valid camera file used for this frame grabber and camera combination; in this case, a temporary camera file is generated based on the provided one and used to change some otherwise unavailable camera parameters such as ROI and pixel bit depth (they are otherwise fixed to whatever is specified in the default camera file)

• do_open – if False, skip the last step of opening the device (should be opened in a subclass)

Error

alias of BitFlowError

TimeoutError

alias of BitFlowTimeoutError

open()

Open connection to the camera

close()

Close connection to the camera

is_opened()

Check if the device is connected

get_device_info()

Get camera model data.

Return tuple (idx, model, idreg) with the board index, model number and the setting of the ID switch on the board

get_detector_size()

Get camera detector size (in pixels) as a tuple (width, height)

get_grabber_detector_size()

Get camera detector size (in pixels) as a tuple (width, height)

get_roi()

Get current ROI.

Return tuple (hstart, hend, vstart, vend). hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0).

get_grabber_roi()

Get current ROI.

Return tuple (hstart, hend, vstart, vend). hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0).

set_roi(hstart=0, hend=None, vstart=0, vend=None)

Setup camera ROI.

hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0). By default, all non-supplied parameters take extreme values (0 for start, maximal for end).

set_grabber_roi(hstart=0, hend=None, vstart=0, vend=None)

Setup camera ROI.

hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0). By default, all non-supplied parameters take extreme values (0 for start, maximal for end).

get_roi_limits(hbin=1, vbin=1)

Get the minimal and maximal ROI parameters.

Return tuple (hlim, vlim), where each element is in turn a limit 5-tuple (min, max, pstep, sstep, maxbin) with, correspondingly, minimal and maximal size, position and size step, and the maximal binning (fixed to 1 if not binning is allowed). In some cameras, the step and the minimal size depend on the binning, which can be supplied.

get_grabber_roi_limits(hbin=1, vbin=1)

Get the minimal and maximal ROI parameters.

Return tuple (hlim, vlim), where each element is in turn a limit 5-tuple (min, max, pstep, sstep, maxbin) with, correspondingly, minimal and maximal size, position and size step, and the maximal binning (fixed to 1 if not binning is allowed). In some cameras, the step and the minimal size depend on the binning, which can be supplied.

class BufferManager(cam)

Bases: object

Buffer manager: stores, constantly reads and re-schedules buffers, keeps track of acquired frames and buffer overflow events

reset()

Reset counter (on frame acquisition)

start_loop()

Start buffer scheduling loop

stop_loop()

Stop buffer scheduling loop

is_running()

Check if the buffer loop is running

get_status()

Get counter status: tuple (acquired,)

setup_acquisition(mode='sequence', nframes=100, frame_merge=1)

Setup acquisition mode.

mode can be either "snap" (single frame or a fixed number of frames) or "sequence" (continuous acquisition). nframes sets up number of frames in the acquisition buffer. frame_merge specifies the number of frames to merge together to from one buffer; if it is larger than 1, several camera frames will be merged into a single frame grabber “super-frame” for acquisition, to lower the effective frame rate (which is capped at 2-4kFPS due to the necessity of Python loops). This is done transparently for the user, so the only visible change is the fact that the number of acquired frames is always updated in quanta of frame_merge.

clear_acquisition()

Clear all acquisition details and free all buffers

start_acquisition(*args, **kwargs)

Start acquisition.

Can take the same keyword parameters as :meth:``setup_acquisition. If the acquisition is not set up yet, set it up using the supplied parameters (use default of setup_acquisition(),if the parameter is None). Otherwise, if any supplied parameters are different from the current ones, change them and reset the acquisition.

stop_acquisition()

Stop acquisition

acquisition_in_progress()

Check if acquisition is in progress

FrameTransferError

alias of DefaultFrameTransferError

apply_settings(settings)

Apply the settings.

settings is the dict {name: value} of the device available settings. Non-applicable settings are ignored.

get_acquisition_parameters()

Get acquisition parameters.

Return dictionary {name: value}

get_data_dimensions()

Get readout data dimensions (in pixels) as a tuple (width, height); take indexing mode into account

get_device_variable(key)

Get the value of a settings, status, or full info parameter

get_frame_format()

Get format for the returned images.

Can be "list" (list of 2D arrays), "array" (a single 3D array), or "chunks" (list of 3D “chunk” arrays; supported for some cameras and provides the best performance).

get_frame_info_fields()

Get the names of frame info fields.

Applicable when frame info format (set by set_frame_info_format()) is "list" or "array".

get_frame_info_format()

Get format of the frame info.

Can be "namedtuple" (potentially nested named tuples; convenient to get particular values), "list" (flat list of values, with field names are given by get_frame_info_fields(); convenient for building a table), "array" (same as "list", but with a numpy array, which is easier to use for "chunks" frame format), or "dict" (flat dictionary with the same fields as the "list" format; more resilient to future format changes)

get_frame_info_period()

Get period of frame info acquisition.

Frame info might be skipped (set to None) except for frames which indices are divisible by period. Useful for certain cameras where acquiring frame info takes a lot of time and can reduce performance at higher frame rates. Note that this parameter can still be ignored (i.e., always set to 1) if the performance is not an issue for a given camera class.

get_frames_status()

Get acquisition and buffer status.

Return tuple (acquired, unread, skipped, size), where acquired is the total number of acquired frames, unread is the number of acquired but not read frames, skipped is the number of skipped (not read and then written over) frames, and buffer_size is the total buffer size (in frames).

get_full_info(include=0)

Get dict {name: value} containing full device information (including status and settings).

include specifies either a list of variables (only these variables are returned), a priority threshold (only values with the priority equal or higher are returned), or "all" (all available variables). Since the lowest priority is -10, setting include=-10 queries all available variables, which is equivalent to include="all".

get_full_status(include=0)

Get dict {name: value} containing the device status (including settings).

include specifies either a list of variables (only these variables are returned), a priority threshold (only values with the priority equal or higher are returned), or "all" (all available variables). Since the lowest priority is -10, setting include=-10 queries all available variables, which is equivalent to include="all".

get_image_indexing()

Get indexing for the returned images.

Can be "rct" (first index row, second index column, rows counted from the top), "rcb" (same as "rc", rows counted from the bottom), "xyt" (first index column, second index row, rows counted from the top), or "xyb" (same as "xyt", rows counted from the bottom)

get_new_images_range()

Get the range of the new images.

Return tuple (first, last) with images range (first inclusive). If no images are available, return None. If some images were in the buffer were overwritten, exclude them from the range.

get_settings(include=0)

Get dict {name: value} containing all the device settings.

include specifies either a list of variables (only these variables are returned), a priority threshold (only values with the priority equal or higher are returned), or "all" (all available variables). Since the lowest priority is -10, setting include=-10 queries all available variables, which is equivalent to include="all".

grab(nframes=1, frame_timeout=5.0, missing_frame='skip', return_info=False, buff_size=None)

Snap nframes images (with preset image read mode parameters)

buff_size determines buffer size (if None, use the default size). Timeout is specified for a single-frame acquisition, not for the whole acquisition time. missing_frame determines what to do with frames which have been lost: can be "none" (replacing them with None), "zero" (replacing them with zero-filled frame), or "skip" (skipping them, while still keeping total returned frames number to n). If return_info==True, return tuple (frames, infos), where infos is a list of frame info tuples (camera-dependent); if some frames are missing and missing_frame!="skip", the corresponding frame info is None.

is_acquisition_setup()

Check if acquisition is set up.

If the camera does not support separate acquisition setup, always return True.

pausing_acquisition(clear=None, stop=True, setup_after=None, start_after=True, combine_nested=True)

Context manager which temporarily pauses acquisition during execution of with block.

Useful for applying certain settings which can’t be changed during the acquisition. If clear==True, clear acquisition in addition to stopping (by default, use the class default specified as _clear_pausing_acquisition attribute). If stop==True, stop the acquisition (if clear==True, stop regardless). If setup_after==True, setup the acquisition after pause if necessary (None means setup only if clearing was required). If start_after==True, start the acquisition after pause if necessary (None means start only if stopping was required). If combine_nested==True, then any nested pausing_acquisition calls will stop/clear acquisition as necessary, but won’t setup/start it again until this pausing_acquisition call is complete.

Yields tuple (acq_in_progress, acq_params), which indicates whether acquisition is currently in progress, and what are the current acquisition parameters.

read_multiple_images(rng=None, peek=False, missing_frame='skip', return_info=False, return_rng=False)

Read multiple images specified by rng (by default, all un-read images).

If rng is specified, it is a tuple (first, last) with images range (first inclusive). If no new frames are available, return an empty list; if no acquisition is running, return None. If peek==True, return images but not mark them as read. missing_frame determines what to do with frames which are out of range (missing or lost): can be "none" (replacing them with None), "zero" (replacing them with zero-filled frame), or "skip" (skipping them). If return_info==True, return tuple (frames, infos), where infos is a list of frame info tuples (camera-dependent, by default, only the frame index); if some frames are missing and missing_frame!="skip", the corresponding frame info is None. if return_rng==True, return the range covered resulting frames; if missing_frame=="skip", the range can be smaller than the supplied rng if some frames are skipped.

read_newest_image(peek=False, return_info=False)

Read the newest un-read image.

If no un-read frames are available, return None. If peek==True, return the image but not mark it as read. If return_info==True, return tuple (frame, info), where info is an info tuples (camera-dependent, see read_multiple_images()).

read_oldest_image(peek=False, return_info=False)

Read the oldest un-read image.

If no un-read frames are available, return None. If peek==True, return the image but not mark it as read. If return_info==True, return tuple (frame, info), where info is an info tuples (camera-dependent, see read_multiple_images()).

set_device_variable(key, value)

Set the value of a settings parameter

set_frame_format(fmt)

Set format for the returned images.

Can be "list" (list of 2D arrays), "array" (a single 3D array), "chunks" (list of 3D “chunk” arrays; supported for some cameras and provides the best performance), or "try_chunks" (same as "chunks", but if chunks are not supported, set to "list" instead). If format is "chunks" and chunks are not supported by the camera, it results in one frame per chunk. Note that if the format is set to "array" or "chunks", the frame info format is also automatically set to "array". If the format is set to "chunks", then the image info is also returned in chunks form (list of 2D info arrays with the same length as the corresponding frame chunks).

set_frame_info_format(fmt, include_fields=None)

Set format of the frame info.

Can be "namedtuple" (potentially nested named tuples; convenient to get particular values), "list" (flat list of values, with field names are given by get_frame_info_fields(); convenient for building a table), "array" (same as "list", but with a numpy array, which is easier to use for "chunks" frame format), or "dict" (flat dictionary with the same fields as the "list" format; more resilient to future format changes) If include_fields is not None, it specifies the fields included for non-"tuple" formats; note that order or include_fields is ignored, and the resulting fields are always ordered same as in the original.

set_frame_info_period(period=1)

Set period of frame info acquisition.

Frame info might be skipped (set to None) except for frames which indices are divisible by period. Useful for certain cameras where acquiring frame info takes a lot of time and can reduce performance at higher frame rates. Note that this parameter can still be ignored (i.e., always set to 1) if the performance is not an issue for a given camera class.

set_image_indexing(indexing)

Set up indexing for the returned images.

Can be "rct" (first index row, second index column, rows counted from the top), "rcb" (same as "rc", rows counted from the bottom), "xyt" (first index column, second index row, rows counted from the top), or "xyb" (same as "xyt", rows counted from the bottom)

snap(timeout=5.0, return_info=False)

Snap a single frame

wait_for_frame(since='lastread', nframes=1, timeout=20.0, error_on_stopped=False)

Wait for one or several new camera frames.

since specifies the reference point for waiting to acquire nframes frames; can be “lastread”`` (from the last read frame), "lastwait" (wait for the last successful wait_for_frame() call), "now" (from the start of the current call), or "start" (from the acquisition start, i.e., wait until nframes frames have been acquired). timeout can be either a number, None (infinite timeout), or a tuple (timeout, frame_timeout), in which case the call times out if the total time exceeds timeout, or a single frame wait exceeds frame_timeout. If the call times out, raise TimeoutError. If error_on_stopped==True and the acquisition is not running, raise Error; otherwise, simply return False without waiting.

class pylablib.devices.BitFlow.BitFlow.BitFlowCamera(idx=0, camfile=None)

Bases: BitFlowFrameGrabber

Generic BitFlow camera interface.

Parameters:

idx – board index, starting from 0

class BufferManager(cam)

Bases: object

Buffer manager: stores, constantly reads and re-schedules buffers, keeps track of acquired frames and buffer overflow events

get_status()

Get counter status: tuple (acquired,)

is_running()

Check if the buffer loop is running

reset()

Reset counter (on frame acquisition)

start_loop()

Start buffer scheduling loop

stop_loop()

Stop buffer scheduling loop

Error

alias of BitFlowError

FrameTransferError

alias of DefaultFrameTransferError

TimeoutError

alias of BitFlowTimeoutError

acquisition_in_progress()

Check if acquisition is in progress

apply_settings(settings)

Apply the settings.

settings is the dict {name: value} of the device available settings. Non-applicable settings are ignored.

clear_acquisition()

Clear all acquisition details and free all buffers

close()

Close connection to the camera

get_acquisition_parameters()

Get acquisition parameters.

Return dictionary {name: value}

get_data_dimensions()

Get readout data dimensions (in pixels) as a tuple (width, height); take indexing mode into account

get_detector_size()

Get camera detector size (in pixels) as a tuple (width, height)

get_device_info()

Get camera model data.

Return tuple (idx, model, idreg) with the board index, model number and the setting of the ID switch on the board

get_device_variable(key)

Get the value of a settings, status, or full info parameter

get_frame_format()

Get format for the returned images.

Can be "list" (list of 2D arrays), "array" (a single 3D array), or "chunks" (list of 3D “chunk” arrays; supported for some cameras and provides the best performance).

get_frame_info_fields()

Get the names of frame info fields.

Applicable when frame info format (set by set_frame_info_format()) is "list" or "array".

get_frame_info_format()

Get format of the frame info.

Can be "namedtuple" (potentially nested named tuples; convenient to get particular values), "list" (flat list of values, with field names are given by get_frame_info_fields(); convenient for building a table), "array" (same as "list", but with a numpy array, which is easier to use for "chunks" frame format), or "dict" (flat dictionary with the same fields as the "list" format; more resilient to future format changes)

get_frame_info_period()

Get period of frame info acquisition.

Frame info might be skipped (set to None) except for frames which indices are divisible by period. Useful for certain cameras where acquiring frame info takes a lot of time and can reduce performance at higher frame rates. Note that this parameter can still be ignored (i.e., always set to 1) if the performance is not an issue for a given camera class.

get_frames_status()

Get acquisition and buffer status.

Return tuple (acquired, unread, skipped, size), where acquired is the total number of acquired frames, unread is the number of acquired but not read frames, skipped is the number of skipped (not read and then written over) frames, and buffer_size is the total buffer size (in frames).

get_full_info(include=0)

Get dict {name: value} containing full device information (including status and settings).

include specifies either a list of variables (only these variables are returned), a priority threshold (only values with the priority equal or higher are returned), or "all" (all available variables). Since the lowest priority is -10, setting include=-10 queries all available variables, which is equivalent to include="all".

get_full_status(include=0)

Get dict {name: value} containing the device status (including settings).

include specifies either a list of variables (only these variables are returned), a priority threshold (only values with the priority equal or higher are returned), or "all" (all available variables). Since the lowest priority is -10, setting include=-10 queries all available variables, which is equivalent to include="all".

get_grabber_detector_size()

Get camera detector size (in pixels) as a tuple (width, height)

get_grabber_roi()

Get current ROI.

Return tuple (hstart, hend, vstart, vend). hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0).

get_grabber_roi_limits(hbin=1, vbin=1)

Get the minimal and maximal ROI parameters.

Return tuple (hlim, vlim), where each element is in turn a limit 5-tuple (min, max, pstep, sstep, maxbin) with, correspondingly, minimal and maximal size, position and size step, and the maximal binning (fixed to 1 if not binning is allowed). In some cameras, the step and the minimal size depend on the binning, which can be supplied.

get_image_indexing()

Get indexing for the returned images.

Can be "rct" (first index row, second index column, rows counted from the top), "rcb" (same as "rc", rows counted from the bottom), "xyt" (first index column, second index row, rows counted from the top), or "xyb" (same as "xyt", rows counted from the bottom)

get_new_images_range()

Get the range of the new images.

Return tuple (first, last) with images range (first inclusive). If no images are available, return None. If some images were in the buffer were overwritten, exclude them from the range.

get_roi()

Get current ROI.

Return tuple (hstart, hend, vstart, vend). hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0).

get_roi_limits(hbin=1, vbin=1)

Get the minimal and maximal ROI parameters.

Return tuple (hlim, vlim), where each element is in turn a limit 5-tuple (min, max, pstep, sstep, maxbin) with, correspondingly, minimal and maximal size, position and size step, and the maximal binning (fixed to 1 if not binning is allowed). In some cameras, the step and the minimal size depend on the binning, which can be supplied.

get_settings(include=0)

Get dict {name: value} containing all the device settings.

include specifies either a list of variables (only these variables are returned), a priority threshold (only values with the priority equal or higher are returned), or "all" (all available variables). Since the lowest priority is -10, setting include=-10 queries all available variables, which is equivalent to include="all".

grab(nframes=1, frame_timeout=5.0, missing_frame='skip', return_info=False, buff_size=None)

Snap nframes images (with preset image read mode parameters)

buff_size determines buffer size (if None, use the default size). Timeout is specified for a single-frame acquisition, not for the whole acquisition time. missing_frame determines what to do with frames which have been lost: can be "none" (replacing them with None), "zero" (replacing them with zero-filled frame), or "skip" (skipping them, while still keeping total returned frames number to n). If return_info==True, return tuple (frames, infos), where infos is a list of frame info tuples (camera-dependent); if some frames are missing and missing_frame!="skip", the corresponding frame info is None.

is_acquisition_setup()

Check if acquisition is set up.

If the camera does not support separate acquisition setup, always return True.

is_opened()

Check if the device is connected

open()

Open connection to the camera

pausing_acquisition(clear=None, stop=True, setup_after=None, start_after=True, combine_nested=True)

Context manager which temporarily pauses acquisition during execution of with block.

Useful for applying certain settings which can’t be changed during the acquisition. If clear==True, clear acquisition in addition to stopping (by default, use the class default specified as _clear_pausing_acquisition attribute). If stop==True, stop the acquisition (if clear==True, stop regardless). If setup_after==True, setup the acquisition after pause if necessary (None means setup only if clearing was required). If start_after==True, start the acquisition after pause if necessary (None means start only if stopping was required). If combine_nested==True, then any nested pausing_acquisition calls will stop/clear acquisition as necessary, but won’t setup/start it again until this pausing_acquisition call is complete.

Yields tuple (acq_in_progress, acq_params), which indicates whether acquisition is currently in progress, and what are the current acquisition parameters.

read_multiple_images(rng=None, peek=False, missing_frame='skip', return_info=False, return_rng=False)

Read multiple images specified by rng (by default, all un-read images).

If rng is specified, it is a tuple (first, last) with images range (first inclusive). If no new frames are available, return an empty list; if no acquisition is running, return None. If peek==True, return images but not mark them as read. missing_frame determines what to do with frames which are out of range (missing or lost): can be "none" (replacing them with None), "zero" (replacing them with zero-filled frame), or "skip" (skipping them). If return_info==True, return tuple (frames, infos), where infos is a list of frame info tuples (camera-dependent, by default, only the frame index); if some frames are missing and missing_frame!="skip", the corresponding frame info is None. if return_rng==True, return the range covered resulting frames; if missing_frame=="skip", the range can be smaller than the supplied rng if some frames are skipped.

read_newest_image(peek=False, return_info=False)

Read the newest un-read image.

If no un-read frames are available, return None. If peek==True, return the image but not mark it as read. If return_info==True, return tuple (frame, info), where info is an info tuples (camera-dependent, see read_multiple_images()).

read_oldest_image(peek=False, return_info=False)

Read the oldest un-read image.

If no un-read frames are available, return None. If peek==True, return the image but not mark it as read. If return_info==True, return tuple (frame, info), where info is an info tuples (camera-dependent, see read_multiple_images()).

set_device_variable(key, value)

Set the value of a settings parameter

set_frame_format(fmt)

Set format for the returned images.

Can be "list" (list of 2D arrays), "array" (a single 3D array), "chunks" (list of 3D “chunk” arrays; supported for some cameras and provides the best performance), or "try_chunks" (same as "chunks", but if chunks are not supported, set to "list" instead). If format is "chunks" and chunks are not supported by the camera, it results in one frame per chunk. Note that if the format is set to "array" or "chunks", the frame info format is also automatically set to "array". If the format is set to "chunks", then the image info is also returned in chunks form (list of 2D info arrays with the same length as the corresponding frame chunks).

set_frame_info_format(fmt, include_fields=None)

Set format of the frame info.

Can be "namedtuple" (potentially nested named tuples; convenient to get particular values), "list" (flat list of values, with field names are given by get_frame_info_fields(); convenient for building a table), "array" (same as "list", but with a numpy array, which is easier to use for "chunks" frame format), or "dict" (flat dictionary with the same fields as the "list" format; more resilient to future format changes) If include_fields is not None, it specifies the fields included for non-"tuple" formats; note that order or include_fields is ignored, and the resulting fields are always ordered same as in the original.

set_frame_info_period(period=1)

Set period of frame info acquisition.

Frame info might be skipped (set to None) except for frames which indices are divisible by period. Useful for certain cameras where acquiring frame info takes a lot of time and can reduce performance at higher frame rates. Note that this parameter can still be ignored (i.e., always set to 1) if the performance is not an issue for a given camera class.

set_grabber_roi(hstart=0, hend=None, vstart=0, vend=None)

Setup camera ROI.

hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0). By default, all non-supplied parameters take extreme values (0 for start, maximal for end).

set_image_indexing(indexing)

Set up indexing for the returned images.

Can be "rct" (first index row, second index column, rows counted from the top), "rcb" (same as "rc", rows counted from the bottom), "xyt" (first index column, second index row, rows counted from the top), or "xyb" (same as "xyt", rows counted from the bottom)

set_roi(hstart=0, hend=None, vstart=0, vend=None)

Setup camera ROI.

hstart and hend specify horizontal image extent, vstart and vend specify vertical image extent (start is inclusive, stop is exclusive, starting from 0). By default, all non-supplied parameters take extreme values (0 for start, maximal for end).

setup_acquisition(mode='sequence', nframes=100, frame_merge=1)

Setup acquisition mode.

mode can be either "snap" (single frame or a fixed number of frames) or "sequence" (continuous acquisition). nframes sets up number of frames in the acquisition buffer. frame_merge specifies the number of frames to merge together to from one buffer; if it is larger than 1, several camera frames will be merged into a single frame grabber “super-frame” for acquisition, to lower the effective frame rate (which is capped at 2-4kFPS due to the necessity of Python loops). This is done transparently for the user, so the only visible change is the fact that the number of acquired frames is always updated in quanta of frame_merge.

snap(timeout=5.0, return_info=False)

Snap a single frame

start_acquisition(*args, **kwargs)

Start acquisition.

Can take the same keyword parameters as :meth:``setup_acquisition. If the acquisition is not set up yet, set it up using the supplied parameters (use default of setup_acquisition(),if the parameter is None). Otherwise, if any supplied parameters are different from the current ones, change them and reset the acquisition.

stop_acquisition()

Stop acquisition

wait_for_frame(since='lastread', nframes=1, timeout=20.0, error_on_stopped=False)

Wait for one or several new camera frames.

since specifies the reference point for waiting to acquire nframes frames; can be “lastread”`` (from the last read frame), "lastwait" (wait for the last successful wait_for_frame() call), "now" (from the start of the current call), or "start" (from the acquisition start, i.e., wait until nframes frames have been acquired). timeout can be either a number, None (infinite timeout), or a tuple (timeout, frame_timeout), in which case the call times out if the total time exceeds timeout, or a single frame wait exceeds frame_timeout. If the call times out, raise TimeoutError. If error_on_stopped==True and the acquisition is not running, raise Error; otherwise, simply return False without waiting.

class pylablib.devices.BitFlow.BitFlow.CameraFileEditor

Bases: object

Camera file editor based on XML ElementTree parser.

Provides methods for loading and saving the tree, and to change basic parameters in the default operational mode.

load(path, clean=True)

Load file from the given path and optionally check the structure remove the non-default modes

save(path)

Save file to the given path

clean_modes()

Check the loaded tree structure and remove non-default operational modes

get_mode_parameters()

Get default operational mode parameters.

Return tuple (size, fmt, bpp) with the acquisition size (xsize, ysize), format (e.g., "1X2-1Y") and the number of bits per pixel. If the tree is not loaded or mode is not present, return None.

set_mode_parameters(size=None, fmt=None, bpp=None)

Get default operational mode parameters.

size is the acquisition size (xsize, ysize), fmt is the tap format (e.g., "1X2-1Y"), and bpp is the number of bits per pixel. Parameters set to None stay unchanged. Return True if any parameters have changed their values and False otherwise.

Module contents