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文件
2026-07-13 12:10:44 +08:00

46 行
1.2 KiB
Python

import logging
from typing import Literal
from pydantic import ConfigDict
from frigate.detectors.detection_api import DetectionApi
from frigate.detectors.detector_config import BaseDetectorConfig
from ..detector_utils import (
tflite_detect_raw,
tflite_init,
tflite_load_delegate_interpreter,
)
logger = logging.getLogger(__name__)
# Use _tfl suffix to default tflite model
DETECTOR_KEY = "teflon_tfl"
class TeflonDetectorConfig(BaseDetectorConfig):
"""Teflon delegate detector for TFLite using Mesa Teflon delegate library to accelerate inference on supported GPUs."""
model_config = ConfigDict(
title="Teflon",
)
type: Literal[DETECTOR_KEY]
class TeflonTfl(DetectionApi):
type_key = DETECTOR_KEY
def __init__(self, detector_config: TeflonDetectorConfig):
# Location in Debian's mesa-teflon-delegate
delegate_library = "/usr/lib/teflon/libteflon.so"
device_config = {}
interpreter = tflite_load_delegate_interpreter(
delegate_library, detector_config, device_config
)
tflite_init(self, interpreter)
def detect_raw(self, tensor_input):
return tflite_detect_raw(self, tensor_input)