GestureRecognitionToolkit
Version: 1.0 Revision: 04-03-15
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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Context.cpp
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/*
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GRT MIT License
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Copyright (c) <2012> <Nicholas Gillian, Media Lab, MIT>
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software
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and associated documentation files (the "Software"), to deal in the Software without restriction,
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including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
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and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so,
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subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial
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portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
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LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
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SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*/
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#include "
Context.h
"
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namespace
GRT
{
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Context::StringContextMap
* Context::stringContextMap = NULL;
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UINT Context::numContextInstances = 0;
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Context
*
Context::createInstanceFromString
(
string
const
&contextType){
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StringContextMap::iterator iter = getMap()->find( contextType );
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if
( iter == getMap()->end() ){
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return
NULL;
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}
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return
iter->second();
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}
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Context
*
Context::createNewInstance
()
const
{
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return
createInstanceFromString
( contextType );
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}
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bool
Context::init
(){
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//Clear any previous data
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data.clear();
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if
( numOutputDimensions == 0 ){
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errorLog <<
"init() - Failed to init module, the number of output dimensions is zero!"
<< endl;
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initialized =
false
;
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return
false
;
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}
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//Flag that the context data is OK to continue
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okToContinue =
true
;
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//Resize the feature vector
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data.resize(numOutputDimensions,0);
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//Flag the module has been initialized
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initialized =
true
;
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return
true
;
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}
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bool
Context::saveContextSettingsToFile
(fstream &file)
const
{
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if
( !file.is_open() ){
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errorLog <<
"saveContextSettingsToFile(fstream &file) - The file is not open!"
<< endl;
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return
false
;
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}
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if
( !
MLBase::saveBaseSettingsToFile
( file ) )
return
false
;
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file <<
"Initialized: "
<< initialized << endl;
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return
true
;
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}
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bool
Context::loadContextSettingsFromFile
(fstream &file){
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if
( !file.is_open() ){
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errorLog <<
"loadContextSettingsFromFile(fstream &file) - The file is not open!"
<< endl;
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return
false
;
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}
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//Try and load the base settings from the file
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if
( !
MLBase::loadBaseSettingsFromFile
( file ) ){
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return
false
;
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}
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string
word;
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//Load if the filter has been initialized
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file >> word;
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if
( word !=
"Initialized:"
){
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errorLog <<
"loadContextSettingsFromFile(fstream &file) - Failed to read Initialized header!"
<< endl;
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clear
();
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return
false
;
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}
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file >> initialized;
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//If the module has been initalized then call the init function to setup the feature data vector
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if
( initialized ){
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return
init
();
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}
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return
true
;
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}
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}
//End of namespace GRT
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GRT::MLBase::clear
virtual bool clear()
Definition:
MLBase.cpp:118
GRT::MLBase::loadBaseSettingsFromFile
bool loadBaseSettingsFromFile(fstream &file)
Definition:
MLBase.cpp:357
GRT
Definition:
AdaBoost.cpp:25
GRT::MLBase::saveBaseSettingsToFile
bool saveBaseSettingsToFile(fstream &file) const
Definition:
MLBase.cpp:334
GRT::Context::StringContextMap
std::map< string, Context *(*)() > StringContextMap
Definition:
Context.h:101
GRT::Context::init
bool init()
Definition:
Context.cpp:40
GRT::Context::createNewInstance
Context * createNewInstance() const
Definition:
Context.cpp:36
GRT::Context
Definition:
Context.h:38
GRT::Context::createInstanceFromString
static Context * createInstanceFromString(string const &contextType)
Definition:
Context.cpp:27
GRT::Context::loadContextSettingsFromFile
bool loadContextSettingsFromFile(fstream &file)
Definition:
Context.cpp:77
GRT::Context::saveContextSettingsToFile
bool saveContextSettingsToFile(fstream &file) const
Definition:
Context.cpp:63
Context.h
This is the main base class that all GRT Feature Extraction algorithms should inherit from...
ngillian
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Context.cpp
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