Complete first pass of capture mode implementation
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83ceb82ea8
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4 changed files with 41 additions and 24 deletions
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@ -64,14 +64,19 @@ class OFMThing(lt.Thing):
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)
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return self._data_dir
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def create_data_path(self, path: str) -> "RelativeDataPath":
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def create_data_path(self, path: str, absolute: bool = False) -> "RelativeDataPath":
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"""Create a ``RelativeDataPath`` object with this Thing set as the saving Thing.
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:param path: The relative path within the data directory of this Thing's data
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dir that the data shudl be saved.
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:path absolute: Set to True if the current path is absolute. A relative path
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will be returned. An validation error will be raised if the absolute path
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is not within the data directory.
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:return: A ``RelativeDataPath`` object with the saving Thing already set.
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"""
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if absolute:
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path = os.path.relpath(path, self.data_dir)
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rel_data_path = RelativeDataPath(path)
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rel_data_path.set_saving_thing(self)
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return rel_data_path
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@ -136,12 +141,15 @@ class RelativeDataPath(RootModel[str]):
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:return: A new ``RelativeDataPath`` object with the path appended.
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"""
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return RelativeDataPath(os.path.join(self.root, sub_path))
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new_path = RelativeDataPath(os.path.join(self.root, sub_path))
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if self._saving_thing is not None:
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new_path.set_saving_thing(self._saving_thing)
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return new_path
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@property
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def abs_data_path(self) -> str:
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"""The absolute data directory to save to."""
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if self.save_location_set:
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if self._saving_thing is None:
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raise RuntimeError("The saving Thing for the relative path was never set")
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if isinstance(self._saving_thing, TemporaryDirectory):
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return os.path.join(self._saving_thing.name, self.root)
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@ -591,7 +591,7 @@ class BaseCamera(OFMThing, ABC):
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self.capture_and_save_to_path(path, capture_mode)
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if tmpdir is None:
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blob = lt.blob.Blob.from_file(path)
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blob = lt.blob.Blob.from_file(path.abs_data_path)
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else:
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blob = lt.blob.Blob.from_temporary_directory(tmpdir, fname)
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blob.media_type = format_info.media_type
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@ -111,19 +111,27 @@ class ScanWorkflow(Generic[SettingModelType], lt.Thing):
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)
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def all_settings(
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self, images_dir: str
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) -> tuple[SettingModelType, Optional[StitchingSettings]]:
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self, images_dir: RelativeDataPath
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) -> tuple[SettingModelType, Optional[StitchingSettings], tuple[int, int]]:
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"""Return the scan settings and the stitching settings.
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- The specific settings for this scan workflow are returned as a Base Model of
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the type set when defining the class.
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- Stitiching settings are returned either as a StitchingSettings object or None
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is returned if it is not possible to stitch the scan.
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- The save resolution as determined by a test image.
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"""
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raise NotImplementedError(
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"Each specific ScanWorkflow must implement a `all_settings` method."
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)
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def _get_save_resolution(self) -> tuple[int, int]:
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"""Return the save resolution as determined by a test image."""
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# Capture an example image.
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image = self._cam._capture_image(capture_mode=self.capture_mode)
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# Check side to create a unit faction for downsampling.
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return image.size
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def pre_scan_routine(self, settings: SettingModelType) -> None:
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"""Overload to set the routine that happens before each scan."""
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raise NotImplementedError(
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@ -268,12 +276,11 @@ class RectGridWorkflow(
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)
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return y_move_stage["x"], x_move_stage["y"]
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def _get_stitching_settings_model(self) -> StitchingSettings:
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def _get_stitching_settings_model(
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self, save_resolution: tuple[int, int]
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) -> StitchingSettings:
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"""Return a stitching settings model based on current settings."""
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# Use the save resolution and target stitch resolution to choose a unit fraction,
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# which makes correlating faster
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# TODO Calculate this using a camera method.
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width, height = self.save_resolution
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width, height = save_resolution
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# Target area in pixels
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target_area = TARGET_STITCHING_DIMENSION**2
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# Find N so that (width/N) * (height/N) ~ target_area
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@ -293,24 +300,24 @@ class RectGridWorkflow(
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return self._settings_model(**base_kwargs)
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def all_settings(
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self, images_dir: str
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) -> tuple[RectGridSettingModelType, Optional[StitchingSettings]]:
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self, images_dir: RelativeDataPath
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) -> tuple[RectGridSettingModelType, Optional[StitchingSettings], tuple[int, int]]:
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"""Return scan settings and the stitching settings.
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:param images_dir: The directory that images are to be written to.
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:return: A tuple containing the settings model for this workflow and the
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settings model for stitching.
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:return: A tuple containing the settings model for this workflow, the
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settings model for stitching, and the save resolution.
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"""
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save_resolution = self._get_save_resolution()
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# Developer Note: When subclassing RectGridWorkflow rather than override
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# this method first consider overriding _build_scan_settings
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stitching_settings = self._get_stitching_settings_model()
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stitching_settings = self._get_stitching_settings_model(save_resolution)
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dx, dy = self._calc_displacement_from_overlap(self.overlap)
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base_kwargs = {
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"overlap": self.overlap,
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"dx": dx,
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"dy": dy,
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# TODO set images dir correctly as a RelDataPath
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"capture_params": CaptureParams(
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images_dir=images_dir, capture_mode=self.capture_mode
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),
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@ -319,7 +326,7 @@ class RectGridWorkflow(
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scan_settings = self._build_scan_settings(base_kwargs)
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return scan_settings, stitching_settings
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return scan_settings, stitching_settings, save_resolution
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@lt.property
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def ready(self) -> bool:
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@ -304,8 +304,8 @@ class SmartScanThing(OFMThing):
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# Ensure any PreviewStitcher created cannot be reused.
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self._preview_stitcher = None
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# Remove any scan folders containing zero images.
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self.purge_empty_scans()
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# Remove any scan folders containing zero images.
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self.purge_empty_scans()
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@_scan_running
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def _move_to_next_point(
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@ -343,8 +343,8 @@ class SmartScanThing(OFMThing):
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if images_dir is None:
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raise RuntimeError("Couldn't run scan, images directory was not created.")
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workflow_settings, stitching_settings = workflow.all_settings(
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images_dir=images_dir
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workflow_settings, stitching_settings, save_resolution = workflow.all_settings(
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images_dir=self.create_data_path(images_dir, absolute=True)
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)
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# If stitching settings is None then this workflow doesn't support stitching.
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@ -356,7 +356,7 @@ class SmartScanThing(OFMThing):
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starting_position=starting_position,
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start_time=datetime.now(),
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stitch_automatically=auto_stitch,
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save_resolution=workflow.save_resolution,
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save_resolution=save_resolution,
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workflow=type(workflow).__name__,
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workflow_settings=workflow_settings,
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stitching_settings=stitching_settings,
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@ -392,6 +392,9 @@ class SmartScanThing(OFMThing):
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starting x,y,z position.
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"""
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try:
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# Change into streaming mode instantly so mode is correct when collecting
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# Scan Data
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self._cam.change_streaming_mode(mode="full_resolution")
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self._scan_data = self._collect_scan_data(workflow)
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images_dir = self.ongoing_scan.images_dir
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# Type narrowing
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@ -401,7 +404,6 @@ class SmartScanThing(OFMThing):
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)
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self.ongoing_scan.save_scan_data(self._scan_data)
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self._cam.change_streaming_mode(mode="full_resolution")
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workflow.pre_scan_routine(self._scan_data.workflow_settings)
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# If stitching settings are None then this type of scan can't be stitched
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