Rename "active_detector" for background detecor. Improve thing selector coercion
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e46836ffe1
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ca46439269
10 changed files with 182 additions and 52 deletions
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@ -28,6 +28,7 @@ from openflexure_microscope_server.things.background_detect import (
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BackgroundDetectAlgorithm,
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)
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from openflexure_microscope_server.ui import ActionButton, PropertyControl
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from openflexure_microscope_server.utilities import coerce_thing_selector
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class JPEGBlob(lt.blob.Blob):
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@ -158,7 +159,7 @@ class BaseCamera(lt.Thing):
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``__init__`` method of the subclass.
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"""
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background_detectors: Mapping[str, BackgroundDetectAlgorithm] = lt.thing_slot()
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_all_background_detectors: Mapping[str, BackgroundDetectAlgorithm] = lt.thing_slot()
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mjpeg_stream = lt.outputs.MJPEGStreamDescriptor()
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lores_mjpeg_stream = lt.outputs.MJPEGStreamDescriptor()
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@ -176,12 +177,17 @@ class BaseCamera(lt.Thing):
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# Default is never updated but is used if the value set from settings is
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# incorrect. In the future a better way to set defaults for thing slot mappings
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# would be ideal.
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self._default_detector = "bg_channel_deviations_luv"
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self._detector_name = "bg_channel_deviations_luv"
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self._default_background_detector = "bg_channel_deviations_luv"
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self._background_detector_name: Optional[str] = None
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def __enter__(self) -> Self:
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"""Open hardware connection when the Thing context manager is opened."""
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raise NotImplementedError("CameraThings must define their own __enter__ method")
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self._background_detector_name = coerce_thing_selector(
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thing_mapping=self._all_background_detectors,
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selected=self._background_detector_name,
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default=self._default_background_detector,
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)
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return self
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def __exit__(
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self,
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@ -190,7 +196,7 @@ class BaseCamera(lt.Thing):
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_traceback: Optional[TracebackType],
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) -> None:
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"""Close hardware connection when the Thing context manager is closed."""
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raise NotImplementedError("CameraThings must define their own __exit__ method")
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pass
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@lt.property
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def calibration_required(self) -> bool:
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@ -581,30 +587,31 @@ class BaseCamera(lt.Thing):
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# Note that the default detector name is set at init. This is over written if
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# setting is loaded from disk.
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@lt.setting
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def detector_name(self) -> str:
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def background_detector_name(self) -> Optional[str]:
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"""The name of the active background selector."""
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return self._detector_name
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return self._background_detector_name
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@detector_name.setter
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def _set_detector_name(self, name: str) -> None:
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"""Validate and set detector_name."""
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if name not in self.background_detectors:
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@background_detector_name.setter
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def _set_background_detector_name(self, name: str) -> None:
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"""Validate and set background_detector_name."""
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if name not in self._all_background_detectors:
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self.logger.warning(f"{name} is not a valid background detector name.")
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self._detector_name = name
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self._background_detector_name = name
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@property
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def active_detector(self) -> BackgroundDetectAlgorithm:
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def background_detector(self) -> Optional[BackgroundDetectAlgorithm]:
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"""The active background detector instance."""
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if self.detector_name not in self.background_detectors:
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self.logger.warning(f"No detector named {self.detector_name}")
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self.detector_name = self._default_detector
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return self.background_detectors[self.detector_name]
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if self.background_detector_name is None:
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return None
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return self._all_background_detectors[self.background_detector_name]
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@lt.action
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def image_is_sample(self) -> tuple[bool, str]:
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"""Label the current image as either background or sample."""
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if self.background_detector is None:
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raise RuntimeError("No background detectors available.")
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current_image = self.grab_as_array(stream_name="lores")
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return self.active_detector.image_is_sample(current_image)
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return self.background_detector.image_is_sample(current_image)
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@lt.action
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def set_background(self) -> None:
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@ -616,8 +623,10 @@ class BaseCamera(lt.Thing):
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future images to the distribution, to determine if each pixel is
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foreground or background.
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"""
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if self.background_detector is None:
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raise RuntimeError("No background detectors available.")
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background = self.grab_as_array(stream_name="lores")
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self.active_detector.set_background(background)
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self.background_detector.set_background(background)
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@property
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def thing_state(self) -> Mapping[str, Any]:
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@ -41,6 +41,7 @@ class OpenCVCamera(BaseCamera):
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def __enter__(self) -> Self:
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"""Start the capture thread when the Thing context manager is opened."""
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super().__enter__()
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self.cap = cv2.VideoCapture(self.camera_index)
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self._capture_enabled = True
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self._capture_thread = Thread(target=self._capture_frames)
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@ -49,9 +50,9 @@ class OpenCVCamera(BaseCamera):
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def __exit__(
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self,
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_exc_type: type[BaseException],
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_exc_value: Optional[BaseException],
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_traceback: Optional[TracebackType],
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exc_type: type[BaseException],
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exc_value: Optional[BaseException],
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traceback: Optional[TracebackType],
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) -> None:
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"""Release the camera when the Thing context manager is closed.
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@ -62,6 +63,7 @@ class OpenCVCamera(BaseCamera):
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if self._capture_thread is not None:
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self._capture_thread.join()
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self.cap.release()
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super().__exit__(exc_type, exc_value, traceback)
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@lt.property
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def stream_active(self) -> bool:
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@ -380,6 +380,7 @@ class StreamingPiCamera2(BaseCamera):
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This opens the picamera connection, initialises the camera, sets the
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sensor_modes property, and then starts the streams.
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"""
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super().__enter__()
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self._initialise_picamera(check_sensor_model=True)
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# Sensor modes is a cached property read it once after initialising the camera
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_modes = self.sensor_modes
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@ -417,15 +418,16 @@ class StreamingPiCamera2(BaseCamera):
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def __exit__(
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self,
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_exc_type: type[BaseException],
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_exc_value: Optional[BaseException],
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_traceback: Optional[TracebackType],
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exc_type: type[BaseException],
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exc_value: Optional[BaseException],
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traceback: Optional[TracebackType],
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) -> None:
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"""Close the picamera connection when the Thing context manager is closed."""
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self.stop_streaming()
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with self._streaming_picamera() as cam:
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cam.close()
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del self._picamera
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super().__exit__(exc_type, exc_value, traceback)
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@lt.action
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def start_streaming(
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@ -759,15 +761,16 @@ class StreamingPiCamera2(BaseCamera):
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self.set_static_green_equalisation()
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self.set_ce_enable_to_off()
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self.calibrate_lens_shading()
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for _i in range(3):
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try:
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time.sleep(self._sensor_info.long_pause)
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self.set_background()
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# Return if background is set
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return
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except ChannelBlankError:
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# If channel is blank, sleep a second and try again.
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pass
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if self.background_detector is not None:
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for _i in range(3):
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try:
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time.sleep(self._sensor_info.long_pause)
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self.set_background()
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# Return if background is set
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return
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except ChannelBlankError:
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# If channel is blank, sleep a second and try again.
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pass
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raise RuntimeError("Couldn't set background")
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@lt.property
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@ -181,7 +181,9 @@ class SimulatedCamera(BaseCamera):
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@lt.property
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def calibration_required(self) -> bool:
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"""Whether the camera needs calibrating."""
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return not self.active_detector.ready
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if self.background_detector is None:
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return True
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return not self.background_detector.ready
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def generate_sprites(self) -> None:
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"""Generate sprites to populate the image."""
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@ -344,20 +346,22 @@ class SimulatedCamera(BaseCamera):
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def __enter__(self) -> Self:
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"""Start the capture thread when the Thing context manager is opened."""
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super().__enter__()
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self.generate_canvas()
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self.start_streaming()
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return self
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def __exit__(
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self,
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_exc_type: type[BaseException],
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_exc_value: Optional[BaseException],
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_traceback: Optional[TracebackType],
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exc_type: type[BaseException],
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exc_value: Optional[BaseException],
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traceback: Optional[TracebackType],
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) -> None:
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"""Close the capture thread when the Thing context manager is closed."""
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if self._capture_thread is not None and self._capture_thread.is_alive():
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self._capture_enabled = False
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self._capture_thread.join()
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super().__exit__(exc_type, exc_value, traceback)
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@lt.action
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def start_streaming(
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@ -463,7 +467,8 @@ class SimulatedCamera(BaseCamera):
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"""
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self.remove_sample()
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time.sleep(0.2)
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self.set_background()
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if self.background_detector is not None:
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self.set_background()
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time.sleep(0.2)
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self.load_sample()
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@ -234,7 +234,10 @@ class SmartScanThing(lt.Thing):
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self._csm.assert_calibration()
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if self.skip_background:
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if not self._cam.active_detector.ready:
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if (
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self._cam.background_detector is None
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or not self._cam.background_detector.ready
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):
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raise RuntimeError(
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"Background is not set: you need to calibrate background detection."
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)
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