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

Simple DNN network running on NPU and invoked from the Khadas KSNN library 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

 net
 
 dataroot
 
 model
 
 library
 
 intensors
 

Detailed Description

Simple DNN network running on NPU and invoked from the Khadas KSNN library 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 24 of file PyNetKSNN.py.

Constructor & Destructor Documentation

◆ __init__()

PyNetKSNN.PyNetKSNN.__init__ (   self)

[Optional] Constructor

Definition at line 27 of file PyNetKSNN.py.

Member Function Documentation

◆ freeze()

PyNetKSNN.PyNetKSNN.freeze (   self,
  doit 
)

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

Definition at line 58 of file PyNetKSNN.py.

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

◆ init()

PyNetKSNN.PyNetKSNN.init (   self)

[Optional] JeVois parameters initialization

Definition at line 32 of file PyNetKSNN.py.

◆ load()

PyNetKSNN.PyNetKSNN.load (   self)

[Required] Load the network from disk

Definition at line 65 of file PyNetKSNN.py.

References PyNetKSNN.PyNetKSNN.dataroot, PyNetOpenCV.PyNetOpenCV.dataroot, PyNetORT.PyNetORT.dataroot, PyNetURetinex.PyNetURetinex.dataroot, PyNetKSNN.PyNetKSNN.library, 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, Darknet.net, Yolo.net, ObjectRecognition< NetType >.net, ObjectRecognition< tiny_dnn::sequential >.net, PyNetKSNN.PyNetKSNN.net, PyNetOpenCV.PyNetOpenCV.net, PyClassificationDNN.PyClassificationDNN.net, PyDetectionDNN.PyDetectionDNN.net, and PyEmotion.PyEmotion.net.

◆ process()

PyNetKSNN.PyNetKSNN.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 76 of file PyNetKSNN.py.

References PyNetORT.PyNetORT.inputs, PyNetURetinex.PyNetURetinex.inputs, Darknet.net, Yolo.net, ObjectRecognition< tiny_dnn::sequential >.net, ObjectRecognition< NetType >.net, PyNetKSNN.PyNetKSNN.net, PyNetOpenCV.PyNetOpenCV.net, PyClassificationDNN.PyClassificationDNN.net, PyDetectionDNN.PyDetectionDNN.net, and PyEmotion.PyEmotion.net.

Member Data Documentation

◆ dataroot

PyNetKSNN.PyNetKSNN.dataroot

Definition at line 35 of file PyNetKSNN.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().

◆ intensors

PyNetKSNN.PyNetKSNN.intensors

Definition at line 52 of file PyNetKSNN.py.

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

◆ library

PyNetKSNN.PyNetKSNN.library

Definition at line 44 of file PyNetKSNN.py.

Referenced by PyNetKSNN.PyNetKSNN.load().

◆ model

PyNetKSNN.PyNetKSNN.model

Definition at line 39 of file PyNetKSNN.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().

◆ net

PyNetKSNN.PyNetKSNN.net

Definition at line 28 of file PyNetKSNN.py.

Referenced by PyNetKSNN.PyNetKSNN.load(), PyNetOpenCV.PyNetOpenCV.load(), PyDetectionDNN.PyDetectionDNN.postprocess(), PyNetKSNN.PyNetKSNN.process(), PyNetOpenCV.PyNetOpenCV.process(), PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().

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