PyNetORT.PyNetORT Class Reference

Simple DNN network invoked from ONNX-Runtime in python. More...

Public Member Functions
	__init__ (self)
	[Optional] Constructor
	init (self)
	[Optional] JeVois parameters initialization
	freeze (self, doit)
	[Optional] Freeze some parameters that should not be changed at runtime
	load (self)
	[Required] Load the network from disk
	process (self, blobs)
	[Required] Main processing function: process input blobs through network and return output blobs blobs is a list of numpy arrays for the network's outputs Should return a tuple with (list of output blobs, list of info strings), where the info strings could contain some information about the network

Public Attributes
	session
	dataroot
	model
	intensors
	inputs

Detailed Description

Simple DNN network invoked from ONNX-Runtime in python.

Author

Laurent Itti

Email:

itti@usc.edu

Address:

University of Southern California, HNB-07A, 3641 Watt Way, Los Angeles, CA 90089-2520, USA

Copyright

Copyright (C) 2022 by Laurent Itti, iLab and the University of Southern California

Main URL:

http://jevois.org

Support URL:

http://jevois.org/doc

Other URL:

http://iLab.usc.edu

License:

GPL v3

Distribution:

Unrestricted

Restrictions:

None

Definition at line 23 of file PyNetORT.py.

Constructor & Destructor Documentation

__init__()

PyNetORT.PyNetORT.__init__

(

self

)

[Optional] Constructor

Definition at line 26 of file PyNetORT.py.

Member Function Documentation

freeze()

PyNetORT.PyNetORT.freeze	(		self,
			doit
	)

[Optional] Freeze some parameters that should not be changed at runtime

Definition at line 52 of file PyNetORT.py.

References PyNetOpenCV.PyNetOpenCV.dataroot, PyNetORT.PyNetORT.dataroot, PyNetURetinex.PyNetURetinex.dataroot, PyNetORT.PyNetORT.freeze(), PyNetOpenCV.PyNetOpenCV.intensors, PyNetORT.PyNetORT.intensors, PyNetURetinex.PyNetURetinex.intensors, TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.model, PyNetOpenCV.PyNetOpenCV.model, PyNetORT.PyNetORT.model, PyNetURetinex.PyNetURetinex.model, PyClassificationDNN.PyClassificationDNN.model, PyCoralClassify.PyCoralClassify.model, PyCoralDetect.PyCoralDetect.model, PyCoralSegment.PyCoralSegment.model, PyDetectionDNN.PyDetectionDNN.model, PyEmotion.PyEmotion.model, and PyLicensePlate.PyLicensePlate.model.

Referenced by PyNetORT.PyNetORT.freeze().

init()

PyNetORT.PyNetORT.init

(

self

)

[Optional] JeVois parameters initialization

Definition at line 31 of file PyNetORT.py.

load()

PyNetORT.PyNetORT.load

(

self

)

[Required] Load the network from disk

Definition at line 59 of file PyNetORT.py.

References PyNetOpenCV.PyNetOpenCV.dataroot, PyNetORT.PyNetORT.dataroot, PyNetURetinex.PyNetURetinex.dataroot, TensorFlow.model, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, lpd_yunet.LPD_YuNet.model, mp_palmdet.MPPalmDet.model, PyNetOpenCV.PyNetOpenCV.model, PyNetORT.PyNetORT.model, PyNetURetinex.PyNetURetinex.model, PyClassificationDNN.PyClassificationDNN.model, PyCoralClassify.PyCoralClassify.model, PyCoralDetect.PyCoralDetect.model, PyCoralSegment.PyCoralSegment.model, PyDetectionDNN.PyDetectionDNN.model, PyEmotion.PyEmotion.model, PyLicensePlate.PyLicensePlate.model, PyNetORT.PyNetORT.session, and PyNetURetinex.PyNetURetinex.session.

process()

PyNetORT.PyNetORT.process	(		self,
			blobs
	)

[Required] Main processing function: process input blobs through network and return output blobs blobs is a list of numpy arrays for the network's outputs Should return a tuple with (list of output blobs, list of info strings), where the info strings could contain some information about the network

Definition at line 71 of file PyNetORT.py.

References PyNetORT.PyNetORT.inputs, PyNetURetinex.PyNetURetinex.inputs, PyNetORT.PyNetORT.session, and PyNetURetinex.PyNetURetinex.session.

Member Data Documentation

dataroot

PyNetORT.PyNetORT.dataroot

Definition at line 34 of file PyNetORT.py.

Referenced by PyNetOpenCV.PyNetOpenCV.freeze(), PyNetORT.PyNetORT.freeze(), PyNetURetinex.PyNetURetinex.freeze(), PyNetOpenCV.PyNetOpenCV.load(), PyNetORT.PyNetORT.load(), and PyNetURetinex.PyNetURetinex.load().

inputs

PyNetORT.PyNetORT.inputs

Definition at line 64 of file PyNetORT.py.

Referenced by PyNetORT.PyNetORT.process(), and PyNetURetinex.PyNetURetinex.process().

intensors

PyNetORT.PyNetORT.intensors

Definition at line 46 of file PyNetORT.py.

Referenced by PyNetOpenCV.PyNetOpenCV.freeze(), PyNetORT.PyNetORT.freeze(), and PyNetURetinex.PyNetURetinex.freeze().

model

PyNetORT.PyNetORT.model

Definition at line 38 of file PyNetORT.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), PyNetOpenCV.PyNetOpenCV.freeze(), PyNetORT.PyNetORT.freeze(), PyNetURetinex.PyNetURetinex.freeze(), mobilenet_v1.MobileNetV1.infer(), mobilenet_v2.MobileNetV2.infer(), lpd_yunet.LPD_YuNet.infer(), mp_palmdet.MPPalmDet.infer(), PyNetOpenCV.PyNetOpenCV.load(), PyNetORT.PyNetORT.load(), PyNetURetinex.PyNetURetinex.load(), PyClassificationDNN.PyClassificationDNN.process(), PyCoralClassify.PyCoralClassify.process(), PyCoralDetect.PyCoralDetect.process(), PyCoralSegment.PyCoralSegment.process(), PyDetectionDNN.PyDetectionDNN.process(), PyCoralClassify.PyCoralClassify.processGUI(), PyCoralDetect.PyCoralDetect.processGUI(), PyCoralSegment.PyCoralSegment.processGUI(), PyLicensePlate.PyLicensePlate.processGUI(), mobilenet_v1.MobileNetV1.setBackend(), mobilenet_v2.MobileNetV2.setBackend(), lpd_yunet.LPD_YuNet.setBackend(), mp_palmdet.MPPalmDet.setBackend(), mobilenet_v1.MobileNetV1.setTarget(), mobilenet_v2.MobileNetV2.setTarget(), lpd_yunet.LPD_YuNet.setTarget(), and mp_palmdet.MPPalmDet.setTarget().

session

PyNetORT.PyNetORT.session

Definition at line 27 of file PyNetORT.py.

Referenced by PyNetORT.PyNetORT.load(), PyNetURetinex.PyNetURetinex.load(), PyNetORT.PyNetORT.process(), and PyNetURetinex.PyNetURetinex.process().

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The documentation for this class was generated from the following file:

• share-jevoispro/pydnn/net/PyNetORT.py