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https://github.com/blakeblackshear/frigate.git
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4383b883c0
* Refactor EdgeTPU and CPU model handling to detector submodules. * Fix selecting the correct detection device type from the config * Remove detector type check when creating ObjectDetectProcess * Fixes after rebasing to 0.11 * Add init file to detector folder * Rename to detect_api Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com> * Add unit test for LocalObjectDetector class * Add configuration for model inputs Support transforming detection regions to RGB or BGR. Support specifying the input tensor shape. The tensor shape has a standard format ["BHWC"] when handed to the detector, but can be transformed in the detector to match the model shape using the model input_tensor config. * Add documentation for new model config parameters * Add input tensor transpose to LocalObjectDetector * Change the model input tensor config to use an enumeration * Updates for model config documentation Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
32 lines
950 B
Python
32 lines
950 B
Python
from typing import Optional, TypedDict
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from multiprocessing.queues import Queue
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from multiprocessing.sharedctypes import Synchronized
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from multiprocessing.context import Process
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from frigate.object_detection import ObjectDetectProcess
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class CameraMetricsTypes(TypedDict):
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camera_fps: Synchronized
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capture_process: Optional[Process]
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detection_enabled: Synchronized
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detection_fps: Synchronized
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detection_frame: Synchronized
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ffmpeg_pid: Synchronized
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frame_queue: Queue
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motion_enabled: Synchronized
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improve_contrast_enabled: Synchronized
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motion_threshold: Synchronized
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motion_contour_area: Synchronized
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process: Optional[Process]
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process_fps: Synchronized
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read_start: Synchronized
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skipped_fps: Synchronized
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class StatsTrackingTypes(TypedDict):
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camera_metrics: dict[str, CameraMetricsTypes]
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detectors: dict[str, ObjectDetectProcess]
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started: int
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latest_frigate_version: str
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