PyClassificationDNN.PyClassificationDNN Class Reference

Object recognition using OpenCV Deep Neural Networks (DNN) More...

Public Member Functions
def	__init__ (self)
	Constructor. More...
def	process (self, inframe, outframe)
	JeVois main processing function. More...

Public Attributes
	confThreshold
	inpWidth
	inpHeight
	scale
	mean
	rgb
	classes
	net
	timer
	model

Detailed Description

Object recognition using OpenCV Deep Neural Networks (DNN)

This module runs an object classification deep neural network using the OpenCV DNN library. Classification (recognition) networks analyze a central portion of the whole scene and produce identity labels and confidence scores about what the object in the field of view might be.

This module supports detection networks implemented in TensorFlow, Caffe, Darknet, Torch, ONNX, etc as supported by the OpenCV DNN module.

Included with the standard JeVois distribution are:

• SqueezeNet v1.1, Caffe model
• more to come, please contribute!

See the module's constructor (init) code and select a value for model to switch network.

Object category names for models trained on ImageNet are at https://github.com/HoldenCaulfieldRye/caffe/blob/master/data/ilsvrc12/synset_words.txt

Sometimes it will make mistakes! The performance of SqueezeNet v1.1 is about 56.1% correct (mean average precision, top-1) on the ImageNet test set.

This module is adapted from the sample OpenCV code: https://github.com/opencv/opencv/blob/master/samples/dnn/classification.py

More pre-trained models are available on github in opencv_extra

Author

Laurent Itti

Videomapping:

YUYV 320 264 30.0 YUYV 320 240 30.0 JeVois PyClassificationDNN

Email:

itti@.nosp@m.usc..nosp@m.edu

Address:

880 W 1st St Suite 807, Los Angeles CA 90012, USA

Copyright

Copyright (C) 2018 by Laurent Itti

Main URL:

http://jevois.org

Support URL:

http://jevois.org

Other URL:

http://jevois.org

License:

GPL v3

Distribution:

Unrestricted

Restrictions:

None

Definition at line 49 of file PyClassificationDNN.py.

Constructor & Destructor Documentation

__init__()

def PyClassificationDNN.PyClassificationDNN.__init__

(

self

)

Constructor.

Definition at line 52 of file PyClassificationDNN.py.

Member Function Documentation

process()

def PyClassificationDNN.PyClassificationDNN.process	(		self,
			inframe,
			outframe
	)

JeVois main processing function.

Definition at line 87 of file PyClassificationDNN.py.

References PyPostClassify.PyPostClassify.classes, PyPostDAMOyolo.PyPostDAMOyolo.classes, PyPostYolo.PyPostYolo.classes, PyClassificationDNN.PyClassificationDNN.classes, Darknet.classes, Yolo.classes, PyClassificationDNN.PyClassificationDNN.confThreshold, PyClassificationDNN.PyClassificationDNN.inpHeight, PyClassificationDNN.PyClassificationDNN.inpWidth, mobilenet_v1.MobileNetV1.mean, mobilenet_v2.MobileNetV2.mean, quantize-inc.Dataset.mean, transform.Normalize.mean, PyPreBlob.PyPreBlob.mean, PyClassificationDNN.PyClassificationDNN.mean, mobilenet_v1.MobileNetV1.model, mobilenet_v2.MobileNetV2.model, mp_palmdet.MPPalmDet.model, lpd_yunet.LPD_YuNet.model, PyNetORT.PyNetORT.model, PyNetURetinex.PyNetURetinex.model, PyNetOpenCV.PyNetOpenCV.model, PyClassificationDNN.PyClassificationDNN.model, TensorFlow.model, PyNetOpenCV.PyNetOpenCV.net, PyClassificationDNN.PyClassificationDNN.net, Darknet.net, Yolo.net, ObjectRecognition< NetType >.net, PyClassificationDNN.PyClassificationDNN.rgb, PyPreBlob.PyPreBlob.scale, PyClassificationDNN.PyClassificationDNN.scale, PyModule::__MODULE__.timer, PythonTutorial2::PythonTutorial2.timer, PyClassificationDNN.PyClassificationDNN.timer, and FirstPython.FirstPython.timer.

Member Data Documentation

classes

PyClassificationDNN.PyClassificationDNN.classes

Definition at line 66 of file PyClassificationDNN.py.

Referenced by PyDetectionDNN.PyDetectionDNN.postprocess(), and PyClassificationDNN.PyClassificationDNN.process().

confThreshold

PyClassificationDNN.PyClassificationDNN.confThreshold

Definition at line 53 of file PyClassificationDNN.py.

Referenced by PyDetectionDNN.PyDetectionDNN.postprocess(), and PyClassificationDNN.PyClassificationDNN.process().

inpHeight

PyClassificationDNN.PyClassificationDNN.inpHeight

Definition at line 55 of file PyClassificationDNN.py.

Referenced by PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().

inpWidth

PyClassificationDNN.PyClassificationDNN.inpWidth

Definition at line 54 of file PyClassificationDNN.py.

Referenced by PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().

mean

PyClassificationDNN.PyClassificationDNN.mean

Definition at line 57 of file PyClassificationDNN.py.

Referenced by PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().

model

PyClassificationDNN.PyClassificationDNN.model

Definition at line 83 of file PyClassificationDNN.py.

Referenced by PyCoralDetect.PyCoralDetect.process(), PyCoralClassify.PyCoralClassify.process(), PyClassificationDNN.PyClassificationDNN.process(), PyCoralSegment.PyCoralSegment.process(), PyDetectionDNN.PyDetectionDNN.process(), PyLicensePlate.PyLicensePlate.processGUI(), PyCoralClassify.PyCoralClassify.processGUI(), PyCoralDetect.PyCoralDetect.processGUI(), and PyCoralSegment.PyCoralSegment.processGUI().

net

PyClassificationDNN.PyClassificationDNN.net

Definition at line 79 of file PyClassificationDNN.py.

Referenced by PyDetectionDNN.PyDetectionDNN.postprocess(), PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().

rgb

PyClassificationDNN.PyClassificationDNN.rgb

Definition at line 58 of file PyClassificationDNN.py.

Referenced by PyCoralDetect.PyCoralDetect.process(), PyCoralClassify.PyCoralClassify.process(), PyClassificationDNN.PyClassificationDNN.process(), PyCoralSegment.PyCoralSegment.process(), PyDetectionDNN.PyDetectionDNN.process(), PyCoralClassify.PyCoralClassify.processGUI(), PyCoralDetect.PyCoralDetect.processGUI(), and PyCoralSegment.PyCoralSegment.processGUI().

scale

PyClassificationDNN.PyClassificationDNN.scale

Definition at line 56 of file PyClassificationDNN.py.

Referenced by PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().

timer

PyClassificationDNN.PyClassificationDNN.timer

Definition at line 82 of file PyClassificationDNN.py.

Referenced by PyDMTX.PyDMTX.process(), PythonOpenCV.PythonOpenCV.process(), PythonSandbox.PythonSandbox.process(), PyCoralDetect.PyCoralDetect.process(), PyCoralClassify.PyCoralClassify.process(), PyClassificationDNN.PyClassificationDNN.process(), PyCoralSegment.PyCoralSegment.process(), PythonParallel.PythonParallel.process(), PyDetectionDNN.PyDetectionDNN.process(), PythonObject6D.PythonObject6D.process(), PyFaceMesh.PyFaceMesh.processGUI(), PyHandDetector.PyHandDetector.processGUI(), PyPoseDetector.PyPoseDetector.processGUI(), PySelfie.PySelfie.processGUI(), PyObjectron.PyObjectron.processGUI(), PyLicensePlate.PyLicensePlate.processGUI(), PySceneText.PySceneText.processGUI(), PythonTest.PythonTest.processGUI(), PythonSandbox.PythonSandbox.processGUI(), PyCoralClassify.PyCoralClassify.processGUI(), PyCoralDetect.PyCoralDetect.processGUI(), PyCoralSegment.PyCoralSegment.processGUI(), PythonSandbox.PythonSandbox.processNoUSB(), and PythonObject6D.PythonObject6D.processNoUSB().

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

• src/Modules/PyClassificationDNN/PyClassificationDNN.py