Get UI working for background detector things
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44860bf777
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5 changed files with 70 additions and 38 deletions
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@ -13,6 +13,8 @@ from pydantic import BaseModel
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import labthings_fastapi as lt
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from openflexure_microscope_server.ui import PropertyControl, property_control_for
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SettingsType = TypeVar("SettingsType", bound=BaseModel)
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BackgroundType = TypeVar("BackgroundType", bound=BaseModel)
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@ -32,6 +34,8 @@ class ChannelBlankError(RuntimeError):
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class BackgroundDetectAlgorithm(lt.Thing):
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"""The base class for defining background detect algorithms."""
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display_name: str = lt.property(default="Base Detector", readonly=True)
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@lt.property
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def ready(self) -> bool:
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"""Whether the background detector is ready."""
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@ -59,6 +63,13 @@ class BackgroundDetectAlgorithm(lt.Thing):
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"Each background detect algorithm must implement an set_background method."
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)
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@lt.property
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def settings_ui(self) -> list[PropertyControl]:
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"""A list of PropertyControl objects to create the settings in the UI."""
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raise NotImplementedError(
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"Each background detect algorithm must implement an settings_ui method."
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)
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class ColourChannelDetectLUV(BackgroundDetectAlgorithm):
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"""Compare images with a known background in LUV colourspace.
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@ -68,6 +79,8 @@ class ColourChannelDetectLUV(BackgroundDetectAlgorithm):
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intuitive way.
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"""
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display_name: str = lt.property(default="Colour Channel (LUV)", readonly=True)
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background_means: Optional[list[float]] = lt.setting(default=None, readonly=True)
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"""The mean of each channel in the colourspace."""
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background_stds: Optional[list[float]] = lt.setting(default=None, readonly=True)
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@ -91,10 +104,20 @@ class ColourChannelDetectLUV(BackgroundDetectAlgorithm):
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image to be labeled as containing sample.
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"""
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@lt.property
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def settings_ui(self) -> list[PropertyControl]:
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"""A list of PropertyControl objects to create the settings in the UI."""
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return [
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property_control_for(self, "channel_tolerance", label="Channel Tolerance"),
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property_control_for(
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self, "min_sample_coverage", label="Sample Coverage Required (%)"
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),
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]
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@lt.property
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def ready(self) -> bool:
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"""Whether the background detector is ready."""
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return not (self.background_means is None or self.background_stds is None)
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return self.background_means is not None and self.background_stds is not None
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def background_mask(self, image: np.ndarray) -> np.ndarray:
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"""Calculate a binary image, showing whether each pixel is background.
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@ -180,6 +203,8 @@ class ChannelDeviationLUV(BackgroundDetectAlgorithm):
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to the median standard deviation for a grid of background images.
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"""
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display_name: str = lt.property(default="Channel Deviation (LUV)", readonly=True)
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background_stds: Optional[list[float]] = lt.setting(default=None, readonly=True)
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"""The standard deviation of each channel in the colourspace."""
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@ -203,6 +228,21 @@ class ChannelDeviationLUV(BackgroundDetectAlgorithm):
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image to be labeled as containing sample.
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"""
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@lt.property
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def settings_ui(self) -> list[PropertyControl]:
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"""A list of PropertyControl objects to create the settings in the UI."""
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return [
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property_control_for(self, "channel_tolerance", label="Channel Tolerance"),
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property_control_for(
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self, "min_sample_coverage", label="Sample Coverage Required (%)"
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),
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]
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@lt.property
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def ready(self) -> bool:
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"""Whether the background detector is ready."""
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return self.background_stds is not None
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def get_sample_coverage(self, image: np.ndarray) -> float:
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"""Return the percentage of the input image that is background.
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@ -173,6 +173,10 @@ class BaseCamera(lt.Thing):
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dictionary in this function. Configuration will be added at a later date.
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"""
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super().__init__(thing_server_interface)
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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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def __enter__(self) -> Self:
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@ -591,6 +595,9 @@ class BaseCamera(lt.Thing):
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@property
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def active_detector(self) -> 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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@lt.action
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@ -181,7 +181,7 @@ 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.background_detector_status.ready
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return not self.active_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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@ -234,7 +234,7 @@ 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.background_detector_status.ready:
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if not self._cam.active_detector.ready:
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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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@ -5,18 +5,13 @@
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<li>
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<a class="uk-accordion-title" href="#">Configure</a>
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<div class="uk-accordion-content">
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<h4 v-if="backgroundDetectorName" class="detector-name">
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{{ backgroundDetectorName }}
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<h4 v-if="backgroundDetectorDisplayName" class="detector-name">
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{{ backgroundDetectorDisplayName }}
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</h4>
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<input-from-schema
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v-if="backgroundDetectorStatus"
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v-model="backgroundDetectorStatus.settings"
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:data-schema="backgroundDetectorStatus.settings_schema"
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label=""
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:animate="animate"
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@requestUpdate="readSettings"
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@sendValue="writeSettings"
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@animationShown="resetAnimate"
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<server-specified-property-control
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v-for="(setting, index) in backgroundDetectorSettings"
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:key="'detector_setting' + index"
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:property-data="setting"
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/>
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</div>
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</li>
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@ -51,33 +46,26 @@
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<script>
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import ActionButton from "../../labThingsComponents/actionButton.vue";
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import InputFromSchema from "../../labThingsComponents/inputFromSchema.vue";
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import ServerSpecifiedPropertyControl from "../../labThingsComponents/serverSpecifiedPropertyControl.vue";
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export default {
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components: {
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ActionButton,
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InputFromSchema,
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ServerSpecifiedPropertyControl,
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},
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data() {
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return {
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backgroundDetectorStatus: undefined,
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ready: false,
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backgroundDetectorName: undefined,
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backgroundDetectorDisplayName: undefined,
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backgroundDetectorSettings: [],
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animate: false,
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};
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},
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computed: {
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ready() {
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const status = this.backgroundDetectorStatus;
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return status && status.ready === true;
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},
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},
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async created() {
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this.backgroundDetectorStatus = await this.readThingProperty(
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"camera",
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"background_detector_status",
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);
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this.readSettings();
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},
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methods: {
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@ -95,18 +83,15 @@ export default {
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},
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readSettings: async function () {
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this.backgroundDetectorName = await this.readThingProperty("camera", "detector_name");
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this.backgroundDetectorStatus = await this.readThingProperty(
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"camera",
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"background_detector_status",
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this.ready = await this.readThingProperty(this.backgroundDetectorName, "ready");
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this.backgroundDetectorSettings = await this.readThingProperty(
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this.backgroundDetectorName,
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"settings_ui",
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);
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this.backgroundDetectorDisplayName = await this.readThingProperty(
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this.backgroundDetectorName,
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"display_name",
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);
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},
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writeSettings: async function (requestedValue) {
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await this.invokeAction("camera", "update_detector_settings", { data: requestedValue });
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this.animate = true;
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this.readSettings();
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},
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resetAnimate: function () {
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this.animate = false;
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},
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},
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};
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