PyPostClassify.PyPostClassify Class Reference

Simple classification DNN post-processor written in python. More...

Public Member Functions
def	__init__ (self)
	[Optional] Constructor More...
def	init (self)
	[Optional] JeVois parameters initialization More...
def	freeze (self, doit)
	[Optional] Freeze some parameters that should not be changed at runtime. More...
def	loadClasses (self, filename)
	[Optional] Parameter callback: Load class names when 'classes' parameter value is changed, when a pipeline is selected from the model zoo More...
def	process (self, outs, preproc)
	[Required] Main processing function: parse network output blobs and store resulting labels and scores locally. More...
def	report (self, outimg, helper, overlay, idle)
	[Optional] Report the latest results obtained by process() by drawing them outimg is None or a RawImage to draw into when in Legacy mode (drawing to an image sent to USB) helper is None or a GUIhelper to do OpenGL drawings when in JeVois-Pro GUI mode overlay is True if user wishes to see overlay text idle is true if keyboard/mouse have been idle for a while, which typically would reduce what is displayed More...

Public Attributes
	results
	classmap
	classes
	cthresh
	top
	classoffset

Detailed Description

Simple classification DNN post-processor written in python.

Compare this code to the C++ PostProcessorClassify (which has more functionality than here):

• Abstract base: https://github.com/jevois/jevois/blob/master/include/jevois/DNN/PostProcessor.H
• Header: https://github.com/jevois/jevois/blob/master/include/jevois/DNN/PostProcessorClassify.H
• Implementation: https://github.com/jevois/jevois/blob/master/src/jevois/DNN/PostProcessorClassify.C

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 26 of file PyPostClassify.py.

Constructor & Destructor Documentation

__init__()

def PyPostClassify.PyPostClassify.__init__

(

self

)

[Optional] Constructor

Definition at line 29 of file PyPostClassify.py.

Member Function Documentation

freeze()

def PyPostClassify.PyPostClassify.freeze	(		self,
			doit
	)

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

The JeVois core will call this with doit being either True or False

Definition at line 58 of file PyPostClassify.py.

References PyPostClassify.PyPostClassify.classes, Darknet.classes, and Yolo.classes.

init()

def PyPostClassify.PyPostClassify.init

(

self

)

[Optional] JeVois parameters initialization

Definition at line 35 of file PyPostClassify.py.

loadClasses()

def PyPostClassify.PyPostClassify.loadClasses	(		self,
			filename
	)

[Optional] Parameter callback: Load class names when 'classes' parameter value is changed, when a pipeline is selected from the model zoo

Definition at line 64 of file PyPostClassify.py.

References PyPostClassify.PyPostClassify.classmap, and split().

process()

def PyPostClassify.PyPostClassify.process	(		self,
			outs,
			preproc
	)

[Required] Main processing function: parse network output blobs and store resulting labels and scores locally.

outs is a list of numpy arrays for the network's outputs. preproc is a handle to the pre-processor that was used, useful to recover transforms from original image to cropped/resized network inputs (not used here).

Definition at line 75 of file PyPostClassify.py.

References PyPostClassify.PyPostClassify.classmap, PyPostClassify.PyPostClassify.classoffset, PyPostClassify.PyPostClassify.cthresh, PyPostClassify.PyPostClassify.results, and PyPostClassify.PyPostClassify.top.

report()

def PyPostClassify.PyPostClassify.report	(		self,
			outimg,
			helper,
			overlay,
			idle
	)

[Optional] Report the latest results obtained by process() by drawing them outimg is None or a RawImage to draw into when in Legacy mode (drawing to an image sent to USB) helper is None or a GUIhelper to do OpenGL drawings when in JeVois-Pro GUI mode overlay is True if user wishes to see overlay text idle is true if keyboard/mouse have been idle for a while, which typically would reduce what is displayed

Note that report() is called on every frame even though the network may run slower or take some time to load and initialize, thus you should be prepared for report() being called even before process() has ever been called (i.e., create some class member variables to hold the reported results, initialize them to some defaults in your constructor, report their current values here, and update their values in process()).

Definition at line 125 of file PyPostClassify.py.

References PyPostClassify.PyPostClassify.cthresh, PyPostClassify.PyPostClassify.results, and PyPostClassify.PyPostClassify.top.

Member Data Documentation

classes

PyPostClassify.PyPostClassify.classes

Definition at line 38 of file PyPostClassify.py.

Referenced by PyPostClassify.PyPostClassify.freeze(), PyPostDAMOyolo.PyPostDAMOyolo.freeze(), PyPostYolo.PyPostYolo.freeze(), PyDetectionDNN.PyDetectionDNN.postprocess(), and PyClassificationDNN.PyClassificationDNN.process().

classmap

PyPostClassify.PyPostClassify.classmap

Definition at line 31 of file PyPostClassify.py.

Referenced by PyPostDAMOyolo.PyPostDAMOyolo.getLabel(), PyPostYolo.PyPostYolo.getLabel(), PyPostClassify.PyPostClassify.loadClasses(), PyPostDAMOyolo.PyPostDAMOyolo.loadClasses(), PyPostYolo.PyPostYolo.loadClasses(), and PyPostClassify.PyPostClassify.process().

classoffset

PyPostClassify.PyPostClassify.classoffset

Definition at line 51 of file PyPostClassify.py.

Referenced by PyPostClassify.PyPostClassify.process().

cthresh

PyPostClassify.PyPostClassify.cthresh

Definition at line 43 of file PyPostClassify.py.

Referenced by PyPostClassify.PyPostClassify.process(), PyPostDAMOyolo.PyPostDAMOyolo.process(), and PyPostClassify.PyPostClassify.report().

results

PyPostClassify.PyPostClassify.results

Definition at line 30 of file PyPostClassify.py.

Referenced by PyPreBlob.PyPreBlob.process(), PyPostStub.PyPostStub.process(), PyPostClassify.PyPostClassify.process(), and PyPostClassify.PyPostClassify.report().

top

PyPostClassify.PyPostClassify.top

Definition at line 47 of file PyPostClassify.py.

Referenced by PyPostClassify.PyPostClassify.process(), and PyPostClassify.PyPostClassify.report().

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

• share-jevoispro/pydnn/post/PyPostClassify.py