Simple DNN network invoked from OpenCV 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

	gflops

	dataroot

	intensors

	outtensors

	config

	model

Detailed Description

Simple DNN network invoked from OpenCV 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 22 of file PyNetOpenCV.py.

Constructor & Destructor Documentation

◆ init()

PyNetOpenCV.PyNetOpenCV.__init__ ( self )

[Optional] Constructor

Definition at line 25 of file PyNetOpenCV.py.

Member Function Documentation

◆ freeze()

PyNetOpenCV.PyNetOpenCV.freeze	(	self,
		doit
	)

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

Definition at line 61 of file PyNetOpenCV.py.

References PyNetOpenCV.PyNetOpenCV.config, PyNetKSNN.PyNetKSNN.dataroot, PyNetOpenCV.PyNetOpenCV.dataroot, PyNetORT.PyNetORT.dataroot, PyNetURetinex.PyNetURetinex.dataroot, PyNetOpenCV.PyNetOpenCV.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, PyLicensePlate.PyLicensePlate.model, and PyNetOpenCV.PyNetOpenCV.outtensors.

Referenced by PyNetOpenCV.PyNetOpenCV.freeze().

◆ init()

PyNetOpenCV.PyNetOpenCV.init ( self )

[Optional] JeVois parameters initialization

Definition at line 31 of file PyNetOpenCV.py.

◆ load()

PyNetOpenCV.PyNetOpenCV.load ( self )

[Required] Load the network from disk

Definition at line 70 of file PyNetOpenCV.py.

References PyNetOpenCV.PyNetOpenCV.config, 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, 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()

PyNetOpenCV.PyNetOpenCV.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 81 of file PyNetOpenCV.py.

References PyNetOpenCV.PyNetOpenCV.gflops, 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.