mirror of
https://github.com/blakeblackshear/frigate.git
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60b34bcfca
* recordings data pub/sub * function to process recording stream frames * model runner * lpr model runner * refactor to mixin class and use model runner * separate out realtime and post processors * move model and mixin folders * basic postprocessor * clean up * docs * postprocessing logic * clean up * return none if recordings are disabled * run postprocessor handle_requests too * tweak expansion * add put endpoint * postprocessor tweaks with endpoint
50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
"""Local or remote processors to handle post processing."""
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import logging
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from abc import ABC, abstractmethod
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from frigate.config import FrigateConfig
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from ..types import DataProcessorMetrics, DataProcessorModelRunner, PostProcessDataEnum
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logger = logging.getLogger(__name__)
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class PostProcessorApi(ABC):
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@abstractmethod
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def __init__(
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self,
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config: FrigateConfig,
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metrics: DataProcessorMetrics,
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model_runner: DataProcessorModelRunner,
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) -> None:
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self.config = config
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self.metrics = metrics
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self.model_runner = model_runner
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pass
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@abstractmethod
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def process_data(
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self, data: dict[str, any], data_type: PostProcessDataEnum
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) -> None:
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"""Processes the data of data type.
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Args:
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data (dict): containing data about the input.
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data_type (enum): Describing the data that is being processed.
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Returns:
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None.
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"""
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pass
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@abstractmethod
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def handle_request(self, request_data: dict[str, any]) -> dict[str, any] | None:
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"""Handle metadata requests.
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Args:
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request_data (dict): containing data about requested change to process.
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Returns:
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None if request was not handled, otherwise return response.
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"""
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pass
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