blakeblackshear.frigate/frigate/detectors/plugins/onnx.py
Blake Blackshear 14235c42b9
Remove all AGPL licensed YOLO references from Frigate (#10717)
* Remove yolov8 support from Frigate

* Remove yolov8 from dev

* Remove builds

* Formatting and remove yolov5

* Fix lint

* remove models download

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
2024-03-30 05:46:17 -05:00

48 lines
1.4 KiB
Python

import logging
import numpy as np
from typing_extensions import Literal
from frigate.detectors.detection_api import DetectionApi
from frigate.detectors.detector_config import BaseDetectorConfig
from frigate.detectors.util import preprocess
logger = logging.getLogger(__name__)
DETECTOR_KEY = "onnx"
class ONNXDetectorConfig(BaseDetectorConfig):
type: Literal[DETECTOR_KEY]
class ONNXDetector(DetectionApi):
type_key = DETECTOR_KEY
def __init__(self, detector_config: ONNXDetectorConfig):
try:
import onnxruntime
logger.info("ONNX: loaded onnxruntime module")
except ModuleNotFoundError:
logger.error(
"ONNX: module loading failed, need 'pip install onnxruntime'?!?"
)
raise
path = detector_config.model.path
logger.info(f"ONNX: loading {detector_config.model.path}")
self.model = onnxruntime.InferenceSession(path)
logger.info(f"ONNX: {path} loaded")
def detect_raw(self, tensor_input):
model_input_name = self.model.get_inputs()[0].name
model_input_shape = self.model.get_inputs()[0].shape
tensor_input = preprocess(tensor_input, model_input_shape, np.float32)
# ruff: noqa: F841
tensor_output = self.model.run(None, {model_input_name: tensor_input})[0]
raise Exception(
"No models are currently supported via onnx. See the docs for more info."
)