JeVoisBase  1.22
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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Public Member Functions | Public Attributes | List of all members
PyNetURetinex.PyNetURetinex Class Reference
Tensor/Neural Processing networks » DNN-related processors written in python

Simple DNN network invoked from ONNX-Runtime in python for URetinex-Net. 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
 
 exposure
 
 inputs
 

Detailed Description

Simple DNN network invoked from ONNX-Runtime in python for URetinex-Net.

This network expects a fixed 1x1 tensor for a parameter, in addition to the image input

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 25 of file PyNetURetinex.py.

Constructor & Destructor Documentation

◆ __init__()

PyNetURetinex.PyNetURetinex.__init__ (   self)

[Optional] Constructor

Definition at line 28 of file PyNetURetinex.py.

Member Function Documentation

◆ freeze()

PyNetURetinex.PyNetURetinex.freeze (   self,
  doit 
)

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

Definition at line 58 of file PyNetURetinex.py.

References PyNetKSNN.PyNetKSNN.dataroot, PyNetOpenCV.PyNetOpenCV.dataroot, PyNetORT.PyNetORT.dataroot, PyNetURetinex.PyNetURetinex.dataroot, PyNetURetinex.PyNetURetinex.freeze(), PyNetKSNN.PyNetKSNN.intensors, 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, PyNetKSNN.PyNetKSNN.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 PyNetURetinex.PyNetURetinex.freeze().

◆ init()

PyNetURetinex.PyNetURetinex.init (   self)

[Optional] JeVois parameters initialization

Definition at line 33 of file PyNetURetinex.py.

◆ load()

PyNetURetinex.PyNetURetinex.load (   self)

[Required] Load the network from disk

Definition at line 65 of file PyNetURetinex.py.

References PyNetKSNN.PyNetKSNN.dataroot, 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, PyNetKSNN.PyNetKSNN.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()

PyNetURetinex.PyNetURetinex.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 77 of file PyNetURetinex.py.

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

Member Data Documentation

◆ dataroot

PyNetURetinex.PyNetURetinex.dataroot

Definition at line 36 of file PyNetURetinex.py.

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

◆ exposure

PyNetURetinex.PyNetURetinex.exposure

Definition at line 52 of file PyNetURetinex.py.

Referenced by PyNetURetinex.PyNetURetinex.process().

◆ inputs

PyNetURetinex.PyNetURetinex.inputs

Definition at line 70 of file PyNetURetinex.py.

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

◆ intensors

PyNetURetinex.PyNetURetinex.intensors

Definition at line 48 of file PyNetURetinex.py.

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

◆ model

PyNetURetinex.PyNetURetinex.model

Definition at line 40 of file PyNetURetinex.py.

Referenced by lpd_yunet.LPD_YuNet.__init__(), PyNetKSNN.PyNetKSNN.freeze(), 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(), PyNetKSNN.PyNetKSNN.load(), 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

PyNetURetinex.PyNetURetinex.session

Definition at line 29 of file PyNetURetinex.py.

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

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