JeVoisBase  1.21
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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ObjectRecognitionMNIST.H
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1// ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////
2//
3// JeVois Smart Embedded Machine Vision Toolkit - Copyright (C) 2016 by Laurent Itti, the University of Southern
4// California (USC), and iLab at USC. See http://iLab.usc.edu and http://jevois.org for information about this project.
5//
6// This file is part of the JeVois Smart Embedded Machine Vision Toolkit. This program is free software; you can
7// redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software
8// Foundation, version 2. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
9// without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
10// License for more details. You should have received a copy of the GNU General Public License along with this program;
11// if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
12//
13// Contact information: Laurent Itti - 3641 Watt Way, HNB-07A - Los Angeles, CA 90089-2520 - USA.
14// Tel: +1 213 740 3527 - itti@pollux.usc.edu - http://iLab.usc.edu - http://jevois.org
15// ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////
16/*! \file */
17
18#pragma once
19
21#include "tiny-dnn/tiny_dnn/nodes.h"
22
23//! Object recognition CNN for MNIST handwritten digits
24/*! \ingroup components */
25class ObjectRecognitionMNIST : public ObjectRecognition<tiny_dnn::sequential>
26{
27 public:
28 //! Constructor, loads the given CNN, its sizes must match our (fixed) internal network structure
29 /*! All network data is assumed to be in the module's path plus "tiny-dnn/<instance>". In there, we will look for
30 weights.tnn, and if not found, we will train the network using data in that path and then save weights.tnn. */
31 ObjectRecognitionMNIST(std::string const & instance);
32
33 //! Destructor
35
36 //! Define the network structure
37 virtual void define() override;
38
39 //! Train the network
40 virtual void train(std::string const & path) override;
41
42 //! Return the name of a given category (0-based index in the vector of results)
43 virtual std::string const & category(size_t idx) const override;
44};
Object recognition CNN for MNIST handwritten digits.
virtual std::string const & category(size_t idx) const override
Return the name of a given category (0-based index in the vector of results)
virtual void define() override
Define the network structure.
virtual ~ObjectRecognitionMNIST()
Destructor.
virtual void train(std::string const &path) override
Train the network.
Wrapper around a neural network implemented by with the tiny-dnn framework by Taiga Nomi.