Complete first pass (untested on hardware) of bg detect refactor.
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parent
2245d9357d
commit
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10 changed files with 90 additions and 88 deletions
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@ -11,8 +11,7 @@
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"kwargs": {
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"kwargs": {
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"scans_folder": "/var/openflexure/scans/"
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"scans_folder": "/var/openflexure/scans/"
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}
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}
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},
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}
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"/background_detect/": "openflexure_microscope_server.things.background_detect:BackgroundDetectThing"
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},
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},
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"settings_folder": "/var/openflexure/settings/",
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"settings_folder": "/var/openflexure/settings/",
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"log_folder": "/var/openflexure/logs/"
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"log_folder": "/var/openflexure/logs/"
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@ -11,8 +11,7 @@
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"kwargs": {
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"kwargs": {
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"scans_folder": "./openflexure/scans/"
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"scans_folder": "./openflexure/scans/"
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}
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}
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},
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}
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"/background_detect/": "openflexure_microscope_server.things.background_detect:BackgroundDetectThing"
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},
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},
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"settings_folder": "./openflexure/settings/",
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"settings_folder": "./openflexure/settings/",
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"log_folder": "./openflexure/logs/"
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"log_folder": "./openflexure/logs/"
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@ -5,12 +5,32 @@ for analysis. Information from this images is used to detect whether an image fr
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current camera field of view contains sample.
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current camera field of view contains sample.
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"""
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"""
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from typing import Optional
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from typing import Optional, Any
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import cv2
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import cv2
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import numpy as np
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import numpy as np
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from pydantic import BaseModel
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from pydantic import BaseModel
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from pydantic.errors import PydanticUserError
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from pydantic.errors import PydanticUserError
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from scipy.stats import norm
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from scipy.stats import norm
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from labthings_fastapi.thing_description import type_to_dataschema
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class BackgroundDetectorStatus(BaseModel):
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"""The status information about a background detector instance needed for the GUI.
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Each BackgroundDetectAlgorithm must be able to return one of these models when
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``status`` is called.
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"""
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ready: bool
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"""True if ready to be used, if False this detector isn't initialised for use.
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This could be called ``has_background_data`` or similar, but the more generic
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``ready`` is used in case more complex methods are added in the future, which
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need different initialisation.
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"""
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settings: BaseModel
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"""The settings for this this background detect Algorithm"""
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settings_schema: dict[str, Any]
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class BackgroundDetectAlgorithm:
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class BackgroundDetectAlgorithm:
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@ -24,12 +44,21 @@ class BackgroundDetectAlgorithm:
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def __init__(self):
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def __init__(self):
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"""Initialise the algorithm settings."""
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"""Initialise the algorithm settings."""
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try:
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try:
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_settings: BaseModel = self.settings_data_model()
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self._settings: BaseModel = self.settings_data_model()
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except PydanticUserError as e:
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except PydanticUserError as e:
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raise NotImplementedError(
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raise NotImplementedError(
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"BackgroundDetectAlgorithms must set their own settings data model."
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"BackgroundDetectAlgorithms must set their own settings data model."
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) from e
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) from e
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@property
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def status(self) -> BackgroundDetectorStatus:
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"""The status information needed for the GUI. Read only."""
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return BackgroundDetectorStatus(
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ready=self.background_data is not None,
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settings=self.settings,
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settings_schema=type_to_dataschema(self.settings_data_model),
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)
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# Requires a getter and a setter to support being a BaseModel but being
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# Requires a getter and a setter to support being a BaseModel but being
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# saved to file as a dict
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# saved to file as a dict
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_background_data: Optional[BaseModel] = None
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_background_data: Optional[BaseModel] = None
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@ -40,21 +69,16 @@ class BackgroundDetectAlgorithm:
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bd = self._background_data
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bd = self._background_data
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if bd is None:
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if bd is None:
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return None
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return None
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try:
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return bd
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return self.background_data_model(**bd)
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except PydanticUserError as e:
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raise NotImplementedError(
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"BackgroundDetectAlgorithms must set their own background data model."
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) from e
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@background_data.setter
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@background_data.setter
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def background_data(self, value: Optional[BaseModel | dict]) -> None:
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def background_data(self, value: Optional[BaseModel | dict]) -> None:
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if value is None:
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if value is None:
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self._background_data = None
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self._background_data = None
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elif isinstance(value, self.background_data_model):
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elif isinstance(value, self.background_data_model):
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self._background_data = value.model_dump()
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elif isinstance(value, dict):
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self._background_data = value
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self._background_data = value
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elif isinstance(value, dict):
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self._background_data = self.background_data_model(**value)
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else:
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else:
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raise TypeError(
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raise TypeError(
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f"Cannot set background_data with an object of type {type(value)}"
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f"Cannot set background_data with an object of type {type(value)}"
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@ -63,23 +87,18 @@ class BackgroundDetectAlgorithm:
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@property
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@property
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def settings(self) -> BaseModel:
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def settings(self) -> BaseModel:
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"""The statistics of the background image."""
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"""The statistics of the background image."""
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bd = self._background_data
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return self._settings
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if bd is None:
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return None
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return self.settings_data_model(**bd)
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@settings.setter
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@settings.setter
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def settings(self, value: Optional[BaseModel | dict]) -> None:
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def settings(self, value: BaseModel | dict) -> None:
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if value is None:
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if isinstance(value, self.settings_data_model):
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self._settings = None
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elif isinstance(value, self.settings_data_model):
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self._settings = value.model_dump()
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elif isinstance(value, dict):
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self._settings = value
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self._settings = value
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elif isinstance(value, dict):
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self._settings = self.settings_data_model(**value)
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else:
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else:
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raise TypeError(f"Cannot set settings with an object of type {type(value)}")
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raise TypeError(f"Cannot set settings with an object of type {type(value)}")
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def image_is_sample(self, image: np.ndarrayl) -> tuple[bool, str]:
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def image_is_sample(self, image: np.ndarray) -> tuple[bool, str]:
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"""Label the current image as either background or sample.
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"""Label the current image as either background or sample.
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:returns: A tuple of the result (boolean), and explanation string. The
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:returns: A tuple of the result (boolean), and explanation string. The
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@ -172,7 +191,7 @@ class ColourChannelDetectLUV(BackgroundDetectAlgorithm):
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mask = self.background_mask(image_luv)
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mask = self.background_mask(image_luv)
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return (1 - np.count_nonzero(mask) / np.prod(mask.shape)) * 100
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return (1 - np.count_nonzero(mask) / np.prod(mask.shape)) * 100
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def image_is_sample(self, image: np.ndarrayl) -> tuple[bool, str]:
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def image_is_sample(self, image: np.ndarray) -> tuple[bool, str]:
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"""Label the current image as either background or sample.
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"""Label the current image as either background or sample.
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:returns: A tuple of the result (boolean), and explanation string. The
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:returns: A tuple of the result (boolean), and explanation string. The
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@ -20,7 +20,11 @@ import piexif
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import labthings_fastapi as lt
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import labthings_fastapi as lt
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from labthings_fastapi.types.numpy import NDArray
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from labthings_fastapi.types.numpy import NDArray
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from openflexure_microscope_server.background_detect import BackgroundDetectLUV
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from openflexure_microscope_server.background_detect import (
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ColourChannelDetectLUV,
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BackgroundDetectAlgorithm,
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BackgroundDetectorStatus,
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)
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LOGGER = logging.getLogger(__name__)
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LOGGER = logging.getLogger(__name__)
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@ -166,7 +170,7 @@ class BaseCamera(lt.Thing):
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This must be run by all child camera classes.
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This must be run by all child camera classes.
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"""
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"""
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super().__init__()
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super().__init__()
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self.background_detectors = {"Colour Channels (LUV)": BackgroundDetectLUV()}
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self.background_detectors = {"Colour Channels (LUV)": ColourChannelDetectLUV()}
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self._detector_name = "Colour Channels (LUV)"
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self._detector_name = "Colour Channels (LUV)"
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def __enter__(self) -> None:
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def __enter__(self) -> None:
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@ -484,23 +488,36 @@ class BaseCamera(lt.Thing):
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self._detector_name = name
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self._detector_name = name
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@property
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@property
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def active_detector(self):
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def active_detector(self) -> BackgroundDetectAlgorithm:
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"""The active background detector instance."""
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"""The active background detector instance."""
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return self.background_detectors[self.detector_name]
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return self.background_detectors[self.detector_name]
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@lt.thing_property
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def background_detector_status(self) -> BackgroundDetectorStatus:
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"""The status of the active detector for the UI."""
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return self.active_detector.status
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@lt.thing_setting
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@lt.thing_setting
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def background_detector_data(self) -> str:
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def background_detector_data(self) -> str:
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"""The name of the active background selector."""
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"""The data for each background detector, used to save to disk."""
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data = {}
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data = {}
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for name, obj in self.background_detectors.items():
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for name, obj in self.background_detectors.items():
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bg_data = (
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None
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if obj.background_data is None
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else obj.background_data.model_dump()
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)
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data[name] = {
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data[name] = {
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"settings": obj.settings.model_dump(),
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"settings": obj.settings.model_dump(),
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"background_data": obj.background_data.model_dump(),
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"background_data": bg_data,
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}
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}
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@detector_name.setter
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@detector_name.setter
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def detector_name(self, data: str) -> None:
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def detector_name(self, data: str) -> None:
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"""Validate and set detector_name."""
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"""Set the data for each detector. This should only be called on init.
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Do not call over HTTP. Would be good to have a way to make this private.
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"""
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for name, instance_data in data.items():
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for name, instance_data in data.items():
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if name in self.background_detectors:
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if name in self.background_detectors:
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obj = self.background_detectors[name]
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obj = self.background_detectors[name]
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@ -118,7 +118,7 @@ class StreamingPiCamera2(BaseCamera):
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:param camera_num: The number of the camera. This should generally be left as 0
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:param camera_num: The number of the camera. This should generally be left as 0
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as most Raspberry Pi boards only support 1 camera.
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as most Raspberry Pi boards only support 1 camera.
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"""
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"""
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super().__init()
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super().__init__()
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self._setting_save_in_progress = False
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self._setting_save_in_progress = False
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self.camera_num = camera_num
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self.camera_num = camera_num
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self.camera_configs: dict[str, dict] = {}
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self.camera_configs: dict[str, dict] = {}
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@ -58,7 +58,7 @@ class SimulatedCamera(BaseCamera):
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:param frame_interval: Nominally the time between frames on the MJPEG stream,
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:param frame_interval: Nominally the time between frames on the MJPEG stream,
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however the rate may be slower due to calculation time for focus.
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however the rate may be slower due to calculation time for focus.
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"""
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"""
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super().__init()
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super().__init__()
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self.shape = shape
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self.shape = shape
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self.glyph_shape = glyph_shape
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self.glyph_shape = glyph_shape
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self.canvas_shape = canvas_shape
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self.canvas_shape = canvas_shape
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@ -1,7 +1,7 @@
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"""The core sample scanning functionality for the OpenFlexure Microscope.
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"""The core sample scanning functionality for the OpenFlexure Microscope.
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SmartScan provides sample scanning functionality including automatic background
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SmartScan provides sample scanning functionality including automatic background
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detection (via the `BackgroundDetectThing`) and automatic path planning via
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detection (via the `CameraThing`) and automatic path planning via
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`scan_planners`. It manages the directories of past scans via `scan_directories`.
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`scan_planners`. It manages the directories of past scans via `scan_directories`.
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It also controls external processes for live stitching composite images, and
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It also controls external processes for live stitching composite images, and
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the creation of the final stitched images.
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the creation of the final stitched images.
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@ -29,7 +29,6 @@ from openflexure_microscope_server import scan_planners
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# Things
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# Things
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from .autofocus import AutofocusThing
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from .autofocus import AutofocusThing
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from .camera_stage_mapping import CameraStageMapper
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from .camera_stage_mapping import CameraStageMapper
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from .background_detect import BackgroundDetectThing
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from .camera import CameraDependency as CamDep
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from .camera import CameraDependency as CamDep
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from .stage import StageDependency as StageDep
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from .stage import StageDependency as StageDep
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@ -37,9 +36,6 @@ CSMDep = lt.deps.direct_thing_client_dependency(
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CameraStageMapper, "/camera_stage_mapping/"
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CameraStageMapper, "/camera_stage_mapping/"
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)
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)
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AutofocusDep = lt.deps.direct_thing_client_dependency(AutofocusThing, "/autofocus/")
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AutofocusDep = lt.deps.direct_thing_client_dependency(AutofocusThing, "/autofocus/")
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BackgroundDep = lt.deps.direct_thing_client_dependency(
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BackgroundDetectThing, "/background_detect/"
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)
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JPEGBlob = lt.blob.blob_type("image/jpeg")
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JPEGBlob = lt.blob.blob_type("image/jpeg")
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ZipBlob = lt.blob.blob_type("application/zip")
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ZipBlob = lt.blob.blob_type("application/zip")
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@ -110,7 +106,6 @@ class SmartScanThing(lt.Thing):
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self._cam: Optional[CamDep] = None
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self._cam: Optional[CamDep] = None
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self._metadata_getter: Optional[lt.deps.GetThingStates] = None
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self._metadata_getter: Optional[lt.deps.GetThingStates] = None
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self._csm: Optional[CSMDep] = None
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self._csm: Optional[CSMDep] = None
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self._background_detect: Optional[BackgroundDep] = None
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self._ongoing_scan: Optional[scan_directories.ScanDirectory] = None
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self._ongoing_scan: Optional[scan_directories.ScanDirectory] = None
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self._starting_position: Optional[Mapping[str, int]] = None
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self._starting_position: Optional[Mapping[str, int]] = None
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self._capture_thread: Optional[ErrorCapturingThread] = None
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self._capture_thread: Optional[ErrorCapturingThread] = None
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@ -128,14 +123,13 @@ class SmartScanThing(lt.Thing):
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cam: CamDep,
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cam: CamDep,
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metadata_getter: lt.deps.GetThingStates,
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metadata_getter: lt.deps.GetThingStates,
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csm: CSMDep,
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csm: CSMDep,
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background_detect: BackgroundDep,
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scan_name: str = "",
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scan_name: str = "",
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):
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):
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"""Move the stage to cover an area, taking images that can be tiled together.
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"""Move the stage to cover an area, taking images that can be tiled together.
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The stage will move in a pattern that grows outwards from the starting point,
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The stage will move in a pattern that grows outwards from the starting point,
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stopping once it is surrounded by "background" (as detected by the
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stopping once it is surrounded by "background" (as detected by the
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background_detect Thing) or reaches the "max_range" measured in steps.
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camera Thing) or reaches the "max_range" measured in steps.
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"""
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"""
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got_lock = self._scan_lock.acquire(timeout=0.1)
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got_lock = self._scan_lock.acquire(timeout=0.1)
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if not got_lock:
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if not got_lock:
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@ -149,7 +143,6 @@ class SmartScanThing(lt.Thing):
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self._cam = cam
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self._cam = cam
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self._metadata_getter = metadata_getter
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self._metadata_getter = metadata_getter
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self._csm = csm
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self._csm = csm
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self._background_detect = background_detect
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self._capture_thread = None
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self._capture_thread = None
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self._scan_images_taken = 0
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self._scan_images_taken = 0
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@ -183,7 +176,6 @@ class SmartScanThing(lt.Thing):
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self._cam = None
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self._cam = None
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self._metadata_getter = None
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self._metadata_getter = None
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self._csm = None
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self._csm = None
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self._background_detect = None
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self._capture_thread = None
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self._capture_thread = None
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self._ongoing_scan = None
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self._ongoing_scan = None
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self._scan_images_taken = None
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self._scan_images_taken = None
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@ -207,7 +199,7 @@ class SmartScanThing(lt.Thing):
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)
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)
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if self.skip_background:
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if self.skip_background:
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if not self._background_detect.background_distributions:
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if not self._cam.background_detector_status.ready:
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raise RuntimeError(
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raise RuntimeError(
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"Background is not set: you need to calibrate background detection."
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"Background is not set: you need to calibrate background detection."
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)
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)
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@ -511,7 +503,7 @@ class SmartScanThing(lt.Thing):
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capture_image = True
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capture_image = True
|
||||||
# If skipping background, take an image to check if current field of view is background
|
# If skipping background, take an image to check if current field of view is background
|
||||||
if self._scan_data["skip_background"]:
|
if self._scan_data["skip_background"]:
|
||||||
capture_image, bg_message = self._background_detect.image_is_sample()
|
capture_image, bg_message = self._cam.image_is_sample()
|
||||||
|
|
||||||
if not capture_image:
|
if not capture_image:
|
||||||
route_planner.mark_location_visited(
|
route_planner.mark_location_visited(
|
||||||
|
|
|
||||||
|
|
@ -1,4 +1,4 @@
|
||||||
"""Testing submodule with mock Background Detect Things.
|
"""Testing submodule with mock Camera Things.
|
||||||
|
|
||||||
These mocks are designed to be inserted as dependencies to provide specific
|
These mocks are designed to be inserted as dependencies to provide specific
|
||||||
functionality and return values.
|
functionality and return values.
|
||||||
|
|
@ -7,10 +7,13 @@ The mocks do not subclass Things. Instead, they return predefined
|
||||||
answers to functions.
|
answers to functions.
|
||||||
"""
|
"""
|
||||||
|
|
||||||
from openflexure_microscope_server.things.background_detect import ChannelDistributions
|
from openflexure_microscope_server.background_detect import (
|
||||||
|
BackgroundDetectorStatus,
|
||||||
|
ColourChannelDetectSettings,
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
class MockBackgroundDetectThing:
|
class MockCameraThing:
|
||||||
"""A mock background detect Thing that imports no code from BackgroundDetectThing.
|
"""A mock background detect Thing that imports no code from BackgroundDetectThing.
|
||||||
|
|
||||||
The class needs functionality added to it over time as more complex
|
The class needs functionality added to it over time as more complex
|
||||||
|
|
@ -18,8 +21,8 @@ class MockBackgroundDetectThing:
|
||||||
is not artificially inflated.
|
is not artificially inflated.
|
||||||
"""
|
"""
|
||||||
|
|
||||||
background_distributions = ChannelDistributions(
|
background_detector_status = BackgroundDetectorStatus(
|
||||||
means=[128.0, 128.0, 128.0],
|
ready=True,
|
||||||
standard_deviations=[3.0, 3.0, 3.0],
|
settings=ColourChannelDetectSettings(),
|
||||||
colorspace="LUV",
|
settings_schema={"fake": "schema"},
|
||||||
)
|
)
|
||||||
|
|
@ -30,7 +30,7 @@ from openflexure_microscope_server.things.smart_scan import (
|
||||||
from .mock_things.mock_csm import MockCSMThing
|
from .mock_things.mock_csm import MockCSMThing
|
||||||
from .mock_things.mock_autofocus import MockAutoFocusThing
|
from .mock_things.mock_autofocus import MockAutoFocusThing
|
||||||
from .mock_things.mock_stage import MockStageThing
|
from .mock_things.mock_stage import MockStageThing
|
||||||
from .mock_things.mock_background_detect import MockBackgroundDetectThing
|
from .mock_things.mock_camera import MockCameraThing
|
||||||
|
|
||||||
# A global logger to pass in as an Invocation Logger
|
# A global logger to pass in as an Invocation Logger
|
||||||
LOGGER = logging.getLogger("mock-invocation_logger")
|
LOGGER = logging.getLogger("mock-invocation_logger")
|
||||||
|
|
@ -169,10 +169,9 @@ def _run_only_outer_scan(adjust_initial_state: Optional[Callable] = None):
|
||||||
cancel_mock = 1 # not called
|
cancel_mock = 1 # not called
|
||||||
af_mock = MockAutoFocusThing()
|
af_mock = MockAutoFocusThing()
|
||||||
stage_mock = MockStageThing()
|
stage_mock = MockStageThing()
|
||||||
cam_mock = 4 # not called
|
cam_mock = MockCameraThing()
|
||||||
meta_mock = 5 # not called
|
meta_mock = 5 # not called
|
||||||
csm_mock = MockCSMThing()
|
csm_mock = MockCSMThing()
|
||||||
bkgrnd_det_mock = MockBackgroundDetectThing()
|
|
||||||
|
|
||||||
class MockedSmartScanThing(SmartScanThing):
|
class MockedSmartScanThing(SmartScanThing):
|
||||||
"""Mocked version of SmartScanThing with a patched _run_scan method."""
|
"""Mocked version of SmartScanThing with a patched _run_scan method."""
|
||||||
|
|
@ -192,7 +191,6 @@ def _run_only_outer_scan(adjust_initial_state: Optional[Callable] = None):
|
||||||
assert self._cam is cam_mock
|
assert self._cam is cam_mock
|
||||||
assert self._metadata_getter is meta_mock
|
assert self._metadata_getter is meta_mock
|
||||||
assert self._csm is csm_mock
|
assert self._csm is csm_mock
|
||||||
assert self._background_detect is bkgrnd_det_mock
|
|
||||||
assert self._capture_thread is None
|
assert self._capture_thread is None
|
||||||
assert self._scan_images_taken == 0
|
assert self._scan_images_taken == 0
|
||||||
|
|
||||||
|
|
@ -212,7 +210,6 @@ def _run_only_outer_scan(adjust_initial_state: Optional[Callable] = None):
|
||||||
cam=cam_mock,
|
cam=cam_mock,
|
||||||
metadata_getter=meta_mock,
|
metadata_getter=meta_mock,
|
||||||
csm=csm_mock,
|
csm=csm_mock,
|
||||||
background_detect=bkgrnd_det_mock,
|
|
||||||
scan_name="FooBar",
|
scan_name="FooBar",
|
||||||
)
|
)
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
|
|
@ -227,7 +224,6 @@ def _run_only_outer_scan(adjust_initial_state: Optional[Callable] = None):
|
||||||
assert mock_ss_thing._cam is None
|
assert mock_ss_thing._cam is None
|
||||||
assert mock_ss_thing._metadata_getter is None
|
assert mock_ss_thing._metadata_getter is None
|
||||||
assert mock_ss_thing._csm is None
|
assert mock_ss_thing._csm is None
|
||||||
assert mock_ss_thing._background_detect is None
|
|
||||||
assert mock_ss_thing._capture_thread is None
|
assert mock_ss_thing._capture_thread is None
|
||||||
assert mock_ss_thing._scan_images_taken is None
|
assert mock_ss_thing._scan_images_taken is None
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -8,37 +8,13 @@
|
||||||
<li>
|
<li>
|
||||||
<a class="uk-accordion-title" href="#">Settings</a>
|
<a class="uk-accordion-title" href="#">Settings</a>
|
||||||
<div class="uk-accordion-content">
|
<div class="uk-accordion-content">
|
||||||
<div class="uk-margin">
|
<p> TODO!</p>
|
||||||
<propertyControl
|
|
||||||
thing-name="caomera"
|
|
||||||
property-name="background_tolerance"
|
|
||||||
label="Tolerance"
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
<div class="uk-margin">
|
|
||||||
<propertyControl
|
|
||||||
thing-name="camera"
|
|
||||||
property-name="min_sample_coverage"
|
|
||||||
label="Sample Coverage Required (%)"
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
<div class="uk-margin">
|
|
||||||
<action-button
|
|
||||||
thing="background_detect"
|
|
||||||
action="background_fraction"
|
|
||||||
submit-label="Check Coverage"
|
|
||||||
:can-terminate="false"
|
|
||||||
:poll-interval="0.1"
|
|
||||||
@response="alertBackgroundFraction"
|
|
||||||
@error="backgroundDetectError"
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
</div>
|
</div>
|
||||||
</li>
|
</li>
|
||||||
</ul>
|
</ul>
|
||||||
<div class="uk-margin">
|
<div class="uk-margin">
|
||||||
<action-button
|
<action-button
|
||||||
thing="background_detect"
|
thing="camera"
|
||||||
action="set_background"
|
action="set_background"
|
||||||
submit-label="Set Background"
|
submit-label="Set Background"
|
||||||
:can-terminate="false"
|
:can-terminate="false"
|
||||||
|
|
@ -47,8 +23,9 @@
|
||||||
/>
|
/>
|
||||||
</div>
|
</div>
|
||||||
<div class="uk-margin">
|
<div class="uk-margin">
|
||||||
|
<!--Once status is read this should be disabled id not ready..-->
|
||||||
<action-button
|
<action-button
|
||||||
thing="background_detect"
|
thing="camera"
|
||||||
action="image_is_sample"
|
action="image_is_sample"
|
||||||
submit-label="Check Current Image"
|
submit-label="Check Current Image"
|
||||||
:can-terminate="false"
|
:can-terminate="false"
|
||||||
|
|
@ -87,8 +64,8 @@ export default {
|
||||||
this.modalNotify(`Background image has been updated`);
|
this.modalNotify(`Background image has been updated`);
|
||||||
},
|
},
|
||||||
alertImageLabel(r) {
|
alertImageLabel(r) {
|
||||||
let label = r.output === true ? "sample" : "background";
|
let label = r.output[0] ? "sample" : "background";
|
||||||
this.modalNotify(`Current image is ${label}`);
|
this.modalNotify(`Current image is ${label}, as ${r.output[1]}`);
|
||||||
},
|
},
|
||||||
backgroundDetectError() {
|
backgroundDetectError() {
|
||||||
this.modalError(
|
this.modalError(
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue