def __init__( self, parent = None ):
super(Window, self).__init__( parent )
self.setWindowTitle( 'Interactive Distortion Evolver' )
### Experiment Configuration
# ATW: TODO: When we start getting reasonable distortions, there
# needs to be a method to reload an old population. For now we'll
# always make a new one.
self.experiment_data_dir = "../external/HyperNEAT/NE/HyperNEAT/out/data"
self.date_specifier = datetime.now().strftime("%y%m%d_%H%M%S")
self.image_storage = []
# Initialize HyperNEAT.
neat.initialize()
# See if there is an output directory.
if not os.path.exists(os.getcwd() + "/output"):
os.mkdir(os.getcwd() + "/output")
# Load the image experiment.
self.experiment = neat.setupExperiment(
"%s/ImageExperiment.dat" % self.experiment_data_dir,
"output/imageExp_out_%s.xml" % self.date_specifier )
# Grab the global parameters.
self.globals = neat.getGlobalParameters()
population_size = int(self.globals.getParameterValue('PopulationSize'))
### GUI Configuration
# Set default window size.
self.setFixedSize( 670, 700 )
# Initialize the list view for the distorted images.
lv = QListView( )
lv.setViewMode( QListView.IconMode )
lv.setUniformItemSizes( True )
lv.setSelectionRectVisible( True )
lv.setMovement( QListView.Static )
lv.setSelectionMode( QListView.MultiSelection )
lv.setEditTriggers( QListView.CurrentChanged )
lv.setResizeMode( QListView.Adjust )
lv.setIconSize( QSize(120, 120) )
lv.setMinimumSize( 500, 385 )
lv.setSpacing( 5 )
lv.setEnabled( False )
self.population_list = lv
# Context menu.
lv.setContextMenuPolicy( Qt.CustomContextMenu )
lv.connect( lv, SIGNAL('customContextMenuRequested (const QPoint&)'), self.handle_context_menu )
# Create the population model.
pm = PopulationModel( population_size )
self.population_model = pm
lv.setModel( pm )
for i in xrange(population_size):
self.population_model.update_item( i, DummyNetwork( i % 4 + 1 ) )
# Monitor population list selection changes.
self.connect(
lv.selectionModel(),
SIGNAL('selectionChanged(const QItemSelection &, const QItemSelection &)'),
self.handle_listview_change )
# Initialize widgets for displaying the graphic and for choosing
# a new base image.
btn_select_image = QPushButton( "Load Image" )
self.connect( btn_select_image, SIGNAL('released()'), self.select_image )
lbl_image = QLabel( "Nothing loaded" )
lbl_image.setFixedSize( 120, 120 )
self.original_image_label = lbl_image
image_layout = QVBoxLayout()
image_layout.addWidget( btn_select_image )
image_layout.addWidget( lbl_image )
# Initialize a horizontal layout for the parameters.
gb = QGroupBox( "Evolution Parameters" )
gb.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Expanding )
tw = QTableWidget( 1, 2 )
tw.setHorizontalHeaderLabels(QString("Parameter;Value").split(';'))
tw.setColumnWidth( 0, 350 )
tw.horizontalHeader().setStretchLastSection( True )
self.connect( tw, SIGNAL('itemChanged(QTableWidgetItem *)'), self.handle_parameter_change )
self.parameter_table = tw
tw_layout = QVBoxLayout()
tw_layout.addWidget( tw )
gb.setLayout( tw_layout )
param_layout = QHBoxLayout()
param_layout.addLayout( image_layout )
param_layout.addWidget( gb )
# Grab the global parameters.
parameter_count = self.globals.getParameterCount()
tw.setRowCount( parameter_count )
for p in xrange(parameter_count):
parameter_name = self.globals.getParameterName( p )
tw.model().setData( tw.model().index( p, 0 ), parameter_name )
tw.model().setData( tw.model().index( p, 1 ), self.globals.getParameterValue( parameter_name ) )
index = tw.item( p, 0 )
index.setFlags( index.flags() ^ Qt.ItemIsEditable )
# Initialize a horizontal layout for the evolve button.
btn_evolve = QPushButton( "Shuffle" )
self.connect( btn_evolve, SIGNAL('released()'), self.evolve_image )
btn_evolve.setEnabled( False )
self.btn_evolve = btn_evolve
self.btn_evolve.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Preferred )
self.spin_evolve_iterations = QSpinBox()
self.spin_evolve_iterations.setRange( 1, 100 )
self.spin_evolve_iterations.setValue( 1 )
self.cb_cross_correlate = QCheckBox( "X-Corr" )
self.cb_cross_correlate.setChecked( True )
control_layout = QHBoxLayout()
control_layout.addWidget( btn_evolve )
control_layout.addWidget( self.spin_evolve_iterations )
control_layout.addWidget( self.cb_cross_correlate )
# Initialize vertical central layout.
central_layout = QVBoxLayout()
central_layout.addLayout( param_layout )
central_layout.addWidget( lv )
central_layout.addLayout( control_layout )
central_widget = QFrame()
central_widget.setLayout( central_layout )
self.setCentralWidget( central_widget )
# Create a menu
self.image_menu = QMenu("Menu", self)
self.image_menu_save_image = self.image_menu.addAction("Save Selected Images")
self.image_menu_save_network = self.image_menu.addAction("Save Selected Neural Network")
### Initialization
# Handle command line parameters.
if len(sys.argv) >= 2:
self.select_image(sys.argv[1])
# Create progress dialog.
self.progress_dialog = QProgressDialog( self );
self.progress_dialog.setLabelText( "Evolving population..." )
self.progress_dialog.setWindowModality( Qt.WindowModal );
self.progress_dialog.setVisible( False )
self.progress_dialog.setCancelButton( None )
# Start evolver thread.
self.evolve_thread = EvolveThread( self )
self.evolve_thread.finished_job.connect( self.finish_evolution )
self.evolve_thread.update_progress.connect( self.update_evolution_progress )
self.evolve_thread.start()
# Generate first population.
self.population = self.experiment.pythonEvaluationSet()
self.evolve_image()
def __init__( self, parent = None ):
super(Window, self).__init__( parent )
self.setWindowTitle( 'Interactive Distortion Evolver' )
### Experiment Configuration
# ATW: TODO: When we start getting reasonable distortions, there
# needs to be a method to reload an old population. For now we'll
# always make a new one.
self.experiment_data_dir = "../external/HyperNEAT/NE/HyperNEAT/out/data"
self.date_specifier = datetime.now().strftime("%y%m%d_%H%M%S")
self.image_storage = []
# Initialize HyperNEAT.
neat.initialize()
# See if there is an output directory.
if not os.path.exists(os.getcwd() + "/output"):
os.mkdir(os.getcwd() + "/output")
# Load the image experiment.
self.experiment = neat.setupExperiment(
"%s/ImageExperiment.dat" % self.experiment_data_dir,
"output/imageExp_out_%s.xml" % self.date_specifier )
# Grab the global parameters.
self.globals = neat.getGlobalParameters()
population_size = int(self.globals.getParameterValue('PopulationSize'))
### GUI Configuration
# Set default window size.
self.setFixedSize( 670, 700 )
# Initialize the list view for the distorted images.
lv = QListView( )
lv.setViewMode( QListView.IconMode )
lv.setUniformItemSizes( True )
lv.setSelectionRectVisible( True )
lv.setMovement( QListView.Static )
lv.setSelectionMode( QListView.MultiSelection )
lv.setEditTriggers( QListView.CurrentChanged )
lv.setResizeMode( QListView.Adjust )
lv.setIconSize( QSize(120, 120) )
lv.setMinimumSize( 500, 385 )
lv.setSpacing( 5 )
lv.setEnabled( False )
self.population_list = lv
# Context menu.
lv.setContextMenuPolicy( Qt.CustomContextMenu )
lv.customContextMenuRequested.connect(self.handle_context_menu)
# Create the population model.
pm = PopulationModel( population_size )
self.population_model = pm
lv.setModel( pm )
for i in xrange(population_size):
self.population_model.update_item( i, DummyNetwork( i % 4 + 1 ) )
# Monitor population list selection changes.
lv.selectionModel().selectionChanged.connect(self.handle_listview_change )
# Initialize widgets for displaying the graphic and for choosing
# a new base image.
btn_select_image = QPushButton( "Load Image" )
btn_select_image.released.connect(self.select_image)
lbl_image = QLabel( "Nothing loaded" )
lbl_image.setFixedSize( 120, 120 )
self.original_image_label = lbl_image
image_layout = QVBoxLayout()
image_layout.addWidget( btn_select_image )
image_layout.addWidget( lbl_image )
# Initialize a horizontal layout for the parameters.
gb = QGroupBox( "Evolution Parameters" )
gb.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Expanding )
tw = QTableWidget( 1, 2 )
tw.setHorizontalHeaderLabels("Parameter;Value".split(';'))
tw.setColumnWidth( 0, 350 )
tw.horizontalHeader().setStretchLastSection( True )
tw.itemChanged.connect(self.handle_parameter_change)
self.parameter_table = tw
tw_layout = QVBoxLayout()
tw_layout.addWidget( tw )
gb.setLayout( tw_layout )
param_layout = QHBoxLayout()
param_layout.addLayout( image_layout )
param_layout.addWidget( gb )
# Grab the global parameters.
parameter_count = self.globals.getParameterCount()
tw.setRowCount( parameter_count )
for p in xrange(parameter_count):
parameter_name = self.globals.getParameterName( p )
tw.model().setData( tw.model().index( p, 0 ), parameter_name )
tw.model().setData( tw.model().index( p, 1 ), self.globals.getParameterValue( parameter_name ) )
index = tw.item( p, 0 )
index.setFlags( index.flags() ^ Qt.ItemIsEditable )
# Initialize a horizontal layout for the evolve button.
btn_evolve = QPushButton( "Shuffle" )
btn_evolve.released.connect(self.evolve_image)
btn_evolve.setEnabled( False )
self.btn_evolve = btn_evolve
self.btn_evolve.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Preferred )
self.spin_evolve_iterations = QSpinBox()
self.spin_evolve_iterations.setRange( 1, 100 )
self.spin_evolve_iterations.setValue( 1 )
self.cb_cross_correlate = QCheckBox( "X-Corr" )
self.cb_cross_correlate.setChecked( True )
control_layout = QHBoxLayout()
control_layout.addWidget( btn_evolve )
control_layout.addWidget( self.spin_evolve_iterations )
control_layout.addWidget( self.cb_cross_correlate )
# Initialize vertical central layout.
central_layout = QVBoxLayout()
central_layout.addLayout( param_layout )
central_layout.addWidget( lv )
central_layout.addLayout( control_layout )
central_widget = QFrame()
central_widget.setLayout( central_layout )
self.setCentralWidget( central_widget )
# Create a menu
self.image_menu = QMenu("Menu", self)
self.image_menu_save_image = self.image_menu.addAction("Save Selected Images")
self.image_menu_save_network = self.image_menu.addAction("Save Selected Neural Network")
### Initialization
# Handle command line parameters.
if len(sys.argv) >= 2:
self.select_image(sys.argv[1])
# Create progress dialog.
self.progress_dialog = QProgressDialog( self );
self.progress_dialog.setLabelText( "Evolving population..." )
self.progress_dialog.setWindowModality( Qt.WindowModal );
self.progress_dialog.setVisible( False )
self.progress_dialog.setCancelButton( None )
# Start evolver thread.
self.evolve_thread = EvolveThread( self )
self.evolve_thread.finished_job.connect( self.finish_evolution )
self.evolve_thread.update_progress.connect( self.update_evolution_progress )
self.evolve_thread.start()
# Generate first population.
self.population = self.experiment.pythonEvaluationSet()
self.evolve_image()
class Window(QMainWindow):
def __init__( self, parent = None ):
super(Window, self).__init__( parent )
self.setWindowTitle( 'Interactive Distortion Evolver' )
### Experiment Configuration
# ATW: TODO: When we start getting reasonable distortions, there
# needs to be a method to reload an old population. For now we'll
# always make a new one.
self.experiment_data_dir = "../external/HyperNEAT/NE/HyperNEAT/out/data"
self.date_specifier = datetime.now().strftime("%y%m%d_%H%M%S")
self.image_storage = []
# Initialize HyperNEAT.
neat.initialize()
# See if there is an output directory.
if not os.path.exists(os.getcwd() + "/output"):
os.mkdir(os.getcwd() + "/output")
# Load the image experiment.
self.experiment = neat.setupExperiment(
"%s/ImageExperiment.dat" % self.experiment_data_dir,
"output/imageExp_out_%s.xml" % self.date_specifier )
# Grab the global parameters.
self.globals = neat.getGlobalParameters()
population_size = int(self.globals.getParameterValue('PopulationSize'))
### GUI Configuration
# Set default window size.
self.setFixedSize( 670, 700 )
# Initialize the list view for the distorted images.
lv = QListView( )
lv.setViewMode( QListView.IconMode )
lv.setUniformItemSizes( True )
lv.setSelectionRectVisible( True )
lv.setMovement( QListView.Static )
lv.setSelectionMode( QListView.MultiSelection )
lv.setEditTriggers( QListView.CurrentChanged )
lv.setResizeMode( QListView.Adjust )
lv.setIconSize( QSize(120, 120) )
lv.setMinimumSize( 500, 385 )
lv.setSpacing( 5 )
lv.setEnabled( False )
self.population_list = lv
# Context menu.
lv.setContextMenuPolicy( Qt.CustomContextMenu )
lv.connect( lv, SIGNAL('customContextMenuRequested (const QPoint&)'), self.handle_context_menu )
# Create the population model.
pm = PopulationModel( population_size )
self.population_model = pm
lv.setModel( pm )
for i in xrange(population_size):
self.population_model.update_item( i, DummyNetwork( i % 4 + 1 ) )
# Monitor population list selection changes.
self.connect(
lv.selectionModel(),
SIGNAL('selectionChanged(const QItemSelection &, const QItemSelection &)'),
self.handle_listview_change )
# Initialize widgets for displaying the graphic and for choosing
# a new base image.
btn_select_image = QPushButton( "Load Image" )
self.connect( btn_select_image, SIGNAL('released()'), self.select_image )
lbl_image = QLabel( "Nothing loaded" )
lbl_image.setFixedSize( 120, 120 )
self.original_image_label = lbl_image
image_layout = QVBoxLayout()
image_layout.addWidget( btn_select_image )
image_layout.addWidget( lbl_image )
# Initialize a horizontal layout for the parameters.
gb = QGroupBox( "Evolution Parameters" )
gb.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Expanding )
tw = QTableWidget( 1, 2 )
tw.setHorizontalHeaderLabels(QString("Parameter;Value").split(';'))
tw.setColumnWidth( 0, 350 )
tw.horizontalHeader().setStretchLastSection( True )
self.connect( tw, SIGNAL('itemChanged(QTableWidgetItem *)'), self.handle_parameter_change )
self.parameter_table = tw
tw_layout = QVBoxLayout()
tw_layout.addWidget( tw )
gb.setLayout( tw_layout )
param_layout = QHBoxLayout()
param_layout.addLayout( image_layout )
param_layout.addWidget( gb )
# Grab the global parameters.
parameter_count = self.globals.getParameterCount()
tw.setRowCount( parameter_count )
for p in xrange(parameter_count):
parameter_name = self.globals.getParameterName( p )
tw.model().setData( tw.model().index( p, 0 ), parameter_name )
tw.model().setData( tw.model().index( p, 1 ), self.globals.getParameterValue( parameter_name ) )
index = tw.item( p, 0 )
index.setFlags( index.flags() ^ Qt.ItemIsEditable )
# Initialize a horizontal layout for the evolve button.
btn_evolve = QPushButton( "Shuffle" )
self.connect( btn_evolve, SIGNAL('released()'), self.evolve_image )
btn_evolve.setEnabled( False )
self.btn_evolve = btn_evolve
self.btn_evolve.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Preferred )
self.spin_evolve_iterations = QSpinBox()
self.spin_evolve_iterations.setRange( 1, 100 )
self.spin_evolve_iterations.setValue( 1 )
self.cb_cross_correlate = QCheckBox( "X-Corr" )
self.cb_cross_correlate.setChecked( True )
control_layout = QHBoxLayout()
control_layout.addWidget( btn_evolve )
control_layout.addWidget( self.spin_evolve_iterations )
control_layout.addWidget( self.cb_cross_correlate )
# Initialize vertical central layout.
central_layout = QVBoxLayout()
central_layout.addLayout( param_layout )
central_layout.addWidget( lv )
central_layout.addLayout( control_layout )
central_widget = QFrame()
central_widget.setLayout( central_layout )
self.setCentralWidget( central_widget )
# Create a menu
self.image_menu = QMenu("Menu", self)
self.image_menu_save_image = self.image_menu.addAction("Save Selected Images")
self.image_menu_save_network = self.image_menu.addAction("Save Selected Neural Network")
### Initialization
# Handle command line parameters.
if len(sys.argv) >= 2:
self.select_image(sys.argv[1])
# Create progress dialog.
self.progress_dialog = QProgressDialog( self );
self.progress_dialog.setLabelText( "Evolving population..." )
self.progress_dialog.setWindowModality( Qt.WindowModal );
self.progress_dialog.setVisible( False )
self.progress_dialog.setCancelButton( None )
# Start evolver thread.
self.evolve_thread = EvolveThread( self )
self.evolve_thread.finished_job.connect( self.finish_evolution )
self.evolve_thread.update_progress.connect( self.update_evolution_progress )
self.evolve_thread.start()
# Generate first population.
self.population = self.experiment.pythonEvaluationSet()
self.evolve_image()
# Destructor.
def __del__( self ):
# Save best population.
self.experiment.saveBest()
# Cleanup HyperNEAT.
neat.cleanup()
# Exit evolve thread.
try:
self.evolve_thread.terminate()
self.evolve_thread.wait( 5000 )
except NameError:
print "Evolve thread not created yet, thus not destroyed."
# Update a parameter value.
def handle_parameter_change( self, parameter ):
column = parameter.column()
if column == 1:
row = parameter.row()
parameter_name = self.globals.getParameterName( row )
current_value = self.globals.getParameterValue( parameter_name )
(new_value, is_a_float) = parameter.data(Qt.EditRole).toFloat()
if is_a_float:
self.globals.setParameterValue( parameter_name, new_value )
else:
parameter.setText( "%.2f" % current_value )
# Choose a new image to work with.
def select_image( self, file_name = None ):
if file_name == None:
file_name = QFileDialog.getOpenFileName(
self,
"Select Image", "",
"Image Files (*.png *.jpg *.bmp)" );
if os.path.isfile(file_name):
# Disable evolve button.
self.btn_evolve.setEnabled( False )
# Load image.
print "Loading image: %s..." % file_name
self.population_list.setEnabled( True )
self.original_image = QImage( file_name )
scaled_image = self.original_image.scaled(120, 120, Qt.KeepAspectRatio, Qt.SmoothTransformation)
self.population_model.set_original_image( scaled_image )
self.original_image_label.setPixmap( QPixmap(scaled_image) )
# Enable evolve button.
self.btn_evolve.setEnabled( True )
# Handles listview changes. We only care if elements are selected.
def handle_listview_change( self, selected, deselected ):
selection = self.population_list.selectionModel().hasSelection()
if selection:
self.spin_evolve_iterations.setEnabled( False )
self.btn_evolve.setText('Evolve')
else:
self.spin_evolve_iterations.setEnabled( True )
self.btn_evolve.setText('Shuffle')
# Evolve the image with the selected individuals.
def evolve_image( self ):
# Disable evolve button.
self.btn_evolve.setEnabled( False )
self.spin_evolve_iterations.setEnabled( False )
self.cb_cross_correlate.setEnabled( False )
# Configure progress dialog.
self.progress_dialog.setRange( 0, self.spin_evolve_iterations.value()*self.population.getIndividualCount() )
self.progress_dialog.setValue( 0 )
self.progress_dialog.setVisible( True )
# Set job.
indices = self.population_list.selectionModel().selectedRows()
self.evolve_thread.add_job(
self.spin_evolve_iterations.value(), indices,
self.cb_cross_correlate.isChecked() )
# Update evolution progress.
def update_evolution_progress( self, completed, max ):
if self.progress_dialog.maximum() != max:
self.progress_dialog.setMaximum( max )
self.progress_dialog.setValue( completed )
# Finish evolution process.
def finish_evolution( self ):
# Update icons.
for i in xrange(self.population_model.rowCount()):
self.population_model.update_icon(i)
index = self.population_list.model().index(i, 0)
self.population_list.selectionModel().select(index, QItemSelectionModel.Select)
self.population_list.selectionModel().select(index, QItemSelectionModel.Deselect)
# Close dialog.
self.progress_dialog.setVisible( False )
# Reenable evolve button.
self.cb_cross_correlate.setEnabled( True )
self.spin_evolve_iterations.setEnabled( True )
self.btn_evolve.setEnabled( True )
def handle_context_menu( self, point ):
# Show the context menu if items are selected.
indices = self.population_list.selectionModel().selectedRows()
if len(indices) > 0:
action = self.image_menu.exec_( self.population_list.mapToGlobal(point) )
# Save the selected images.
if action == self.image_menu_save_image:
file_name = QFileDialog.getSaveFileName(
self,
"Save Image(s) as...", "",
"PNG Image (*.png)" );
if file_name:
if file_name.length() - file_name.lastIndexOf('.png', -1, Qt.CaseInsensitive) == 4:
file_name.chop( 4 )
print "Save image(s) to: %s" % file_name
for index in indices:
index_file_name = "%s_%d.png" % (file_name, index.row())
print " - Saving image: %s..." % (index_file_name),
sys.stdout.flush()
distorted_image_map = self.population_model.distort(
index.row(), self.original_image )
distorted_image = QImage( distorted_image_map )
distorted_image.save( index_file_name )
print "Done."
else:
print "Save image(s): Canceled"
# Save the selected networks.
elif action == self.image_menu_save_network:
file_name = QFileDialog.getSaveFileName(
self,
"Save Network(s) as...", "",
"XML File (*.xml)" );
if file_name:
if file_name.length() - file_name.lastIndexOf('.xml', -1, Qt.CaseInsensitive) == 4:
file_name.chop( 4 )
print "Save network(s) to: %s" % file_name
for index in indices:
index_file_name = "%s_%d.xml" % (file_name, index.row())
print " - Saving network: %s..." % (index_file_name),
sys.stdout.flush()
self.population.getIndividual(index.row()).saveToFile(
str(index_file_name), False )
print "Done."
else:
print "Save network(s): Canceled"
class Window(QMainWindow):
def __init__( self, parent = None ):
super(Window, self).__init__( parent )
self.setWindowTitle( 'Interactive Distortion Evolver' )
### Experiment Configuration
# ATW: TODO: When we start getting reasonable distortions, there
# needs to be a method to reload an old population. For now we'll
# always make a new one.
self.experiment_data_dir = "../external/HyperNEAT/NE/HyperNEAT/out/data"
self.date_specifier = datetime.now().strftime("%y%m%d_%H%M%S")
self.image_storage = []
# Initialize HyperNEAT.
neat.initialize()
# See if there is an output directory.
if not os.path.exists(os.getcwd() + "/output"):
os.mkdir(os.getcwd() + "/output")
# Load the image experiment.
self.experiment = neat.setupExperiment(
"%s/ImageExperiment.dat" % self.experiment_data_dir,
"output/imageExp_out_%s.xml" % self.date_specifier )
# Grab the global parameters.
self.globals = neat.getGlobalParameters()
population_size = int(self.globals.getParameterValue('PopulationSize'))
### GUI Configuration
# Set default window size.
self.setFixedSize( 670, 700 )
# Initialize the list view for the distorted images.
lv = QListView( )
lv.setViewMode( QListView.IconMode )
lv.setUniformItemSizes( True )
lv.setSelectionRectVisible( True )
lv.setMovement( QListView.Static )
lv.setSelectionMode( QListView.MultiSelection )
lv.setEditTriggers( QListView.CurrentChanged )
lv.setResizeMode( QListView.Adjust )
lv.setIconSize( QSize(120, 120) )
lv.setMinimumSize( 500, 385 )
lv.setSpacing( 5 )
lv.setEnabled( False )
self.population_list = lv
# Context menu.
lv.setContextMenuPolicy( Qt.CustomContextMenu )
lv.customContextMenuRequested.connect(self.handle_context_menu)
# Create the population model.
pm = PopulationModel( population_size )
self.population_model = pm
lv.setModel( pm )
for i in xrange(population_size):
self.population_model.update_item( i, DummyNetwork( i % 4 + 1 ) )
# Monitor population list selection changes.
lv.selectionModel().selectionChanged.connect(self.handle_listview_change )
# Initialize widgets for displaying the graphic and for choosing
# a new base image.
btn_select_image = QPushButton( "Load Image" )
btn_select_image.released.connect(self.select_image)
lbl_image = QLabel( "Nothing loaded" )
lbl_image.setFixedSize( 120, 120 )
self.original_image_label = lbl_image
image_layout = QVBoxLayout()
image_layout.addWidget( btn_select_image )
image_layout.addWidget( lbl_image )
# Initialize a horizontal layout for the parameters.
gb = QGroupBox( "Evolution Parameters" )
gb.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Expanding )
tw = QTableWidget( 1, 2 )
tw.setHorizontalHeaderLabels("Parameter;Value".split(';'))
tw.setColumnWidth( 0, 350 )
tw.horizontalHeader().setStretchLastSection( True )
tw.itemChanged.connect(self.handle_parameter_change)
self.parameter_table = tw
tw_layout = QVBoxLayout()
tw_layout.addWidget( tw )
gb.setLayout( tw_layout )
param_layout = QHBoxLayout()
param_layout.addLayout( image_layout )
param_layout.addWidget( gb )
# Grab the global parameters.
parameter_count = self.globals.getParameterCount()
tw.setRowCount( parameter_count )
for p in xrange(parameter_count):
parameter_name = self.globals.getParameterName( p )
tw.model().setData( tw.model().index( p, 0 ), parameter_name )
tw.model().setData( tw.model().index( p, 1 ), self.globals.getParameterValue( parameter_name ) )
index = tw.item( p, 0 )
index.setFlags( index.flags() ^ Qt.ItemIsEditable )
# Initialize a horizontal layout for the evolve button.
btn_evolve = QPushButton( "Shuffle" )
btn_evolve.released.connect(self.evolve_image)
btn_evolve.setEnabled( False )
self.btn_evolve = btn_evolve
self.btn_evolve.setSizePolicy( QSizePolicy.Expanding, QSizePolicy.Preferred )
self.spin_evolve_iterations = QSpinBox()
self.spin_evolve_iterations.setRange( 1, 100 )
self.spin_evolve_iterations.setValue( 1 )
self.cb_cross_correlate = QCheckBox( "X-Corr" )
self.cb_cross_correlate.setChecked( True )
control_layout = QHBoxLayout()
control_layout.addWidget( btn_evolve )
control_layout.addWidget( self.spin_evolve_iterations )
control_layout.addWidget( self.cb_cross_correlate )
# Initialize vertical central layout.
central_layout = QVBoxLayout()
central_layout.addLayout( param_layout )
central_layout.addWidget( lv )
central_layout.addLayout( control_layout )
central_widget = QFrame()
central_widget.setLayout( central_layout )
self.setCentralWidget( central_widget )
# Create a menu
self.image_menu = QMenu("Menu", self)
self.image_menu_save_image = self.image_menu.addAction("Save Selected Images")
self.image_menu_save_network = self.image_menu.addAction("Save Selected Neural Network")
### Initialization
# Handle command line parameters.
if len(sys.argv) >= 2:
self.select_image(sys.argv[1])
# Create progress dialog.
self.progress_dialog = QProgressDialog( self );
self.progress_dialog.setLabelText( "Evolving population..." )
self.progress_dialog.setWindowModality( Qt.WindowModal );
self.progress_dialog.setVisible( False )
self.progress_dialog.setCancelButton( None )
# Start evolver thread.
self.evolve_thread = EvolveThread( self )
self.evolve_thread.finished_job.connect( self.finish_evolution )
self.evolve_thread.update_progress.connect( self.update_evolution_progress )
self.evolve_thread.start()
# Generate first population.
self.population = self.experiment.pythonEvaluationSet()
self.evolve_image()
# Destructor.
def __del__( self ):
# Save best population.
self.experiment.saveBest()
# Cleanup HyperNEAT.
neat.cleanup()
# Exit evolve thread.
try:
self.evolve_thread.terminate()
self.evolve_thread.wait( 5000 )
except NameError:
print "Evolve thread not created yet, thus not destroyed."
# Update a parameter value.
def handle_parameter_change( self, parameter ):
column = parameter.column()
if column == 1:
row = parameter.row()
parameter_name = self.globals.getParameterName( row )
current_value = self.globals.getParameterValue( parameter_name )
v = parameter.data(Qt.EditRole)
if v.canConvert(QVariant.Double):
v.convert(QVariant.Double)
self.globals.setParameterValue(parameter_name, v.value())
else:
parameter.setText("%.2f" % current_value)
# Choose a new image to work with.
def select_image( self, file_name = None ):
if file_name == None:
file_name, _ = QFileDialog.getOpenFileName(
self,
"Select Image", "",
"Image Files (*.png *.jpg *.bmp)" );
if os.path.isfile(file_name):
# Disable evolve button.
self.btn_evolve.setEnabled( False )
# Load image.
print "Loading image: %s..." % file_name
self.population_list.setEnabled( True )
self.original_image = QImage( file_name )
scaled_image = self.original_image.scaled(120, 120, Qt.KeepAspectRatio, Qt.SmoothTransformation)
self.population_model.set_original_image( scaled_image )
self.original_image_label.setPixmap( QPixmap(scaled_image) )
# Enable evolve button.
self.btn_evolve.setEnabled( True )
# Handles listview changes. We only care if elements are selected.
def handle_listview_change( self, selected, deselected ):
selection = self.population_list.selectionModel().hasSelection()
if selection:
self.spin_evolve_iterations.setEnabled( False )
self.btn_evolve.setText('Evolve')
else:
self.spin_evolve_iterations.setEnabled( True )
self.btn_evolve.setText('Shuffle')
# Evolve the image with the selected individuals.
def evolve_image( self ):
# Disable evolve button.
self.btn_evolve.setEnabled( False )
self.spin_evolve_iterations.setEnabled( False )
self.cb_cross_correlate.setEnabled( False )
# Configure progress dialog.
self.progress_dialog.setRange( 0, self.spin_evolve_iterations.value()*self.population.getIndividualCount() )
self.progress_dialog.setValue( 0 )
self.progress_dialog.setVisible( True )
# Set job.
indices = self.population_list.selectionModel().selectedRows()
self.evolve_thread.add_job(
self.spin_evolve_iterations.value(), indices,
self.cb_cross_correlate.isChecked() )
# Update evolution progress.
def update_evolution_progress( self, completed, max ):
if self.progress_dialog.maximum() != max:
self.progress_dialog.setMaximum( max )
self.progress_dialog.setValue( completed )
# Finish evolution process.
def finish_evolution( self ):
# Update icons.
for i in xrange(self.population_model.rowCount()):
self.population_model.update_icon(i)
index = self.population_list.model().index(i, 0)
self.population_list.selectionModel().select(index, QItemSelectionModel.Select)
self.population_list.selectionModel().select(index, QItemSelectionModel.Deselect)
# Close dialog.
self.progress_dialog.setVisible( False )
# Reenable evolve button.
self.cb_cross_correlate.setEnabled( True )
self.spin_evolve_iterations.setEnabled( True )
self.btn_evolve.setEnabled( True )
def handle_context_menu( self, point ):
# Show the context menu if items are selected.
indices = self.population_list.selectionModel().selectedRows()
if len(indices) > 0:
action = self.image_menu.exec_( self.population_list.mapToGlobal(point) )
# Save the selected images.
if action == self.image_menu_save_image:
file_name, _ = QFileDialog.getSaveFileName(
self,
"Save Image(s) as...", "",
"PNG Image (*.png)" );
if file_name:
if file_name.length() - file_name.lastIndexOf('.png', -1, Qt.CaseInsensitive) == 4:
file_name.chop( 4 )
print "Save image(s) to: %s" % file_name
for index in indices:
index_file_name = "%s_%d.png" % (file_name, index.row())
print " - Saving image: %s..." % (index_file_name),
sys.stdout.flush()
distorted_image_map = self.population_model.distort(
index.row(), self.original_image )
distorted_image = QImage( distorted_image_map )
distorted_image.save( index_file_name )
print "Done."
else:
print "Save image(s): Canceled"
# Save the selected networks.
elif action == self.image_menu_save_network:
file_name, _ = QFileDialog.getSaveFileName(
self,
"Save Network(s) as...", "",
"XML File (*.xml)" );
if file_name:
print "Save network(s) to: %s" % file_name
for index in indices:
index_file_name = "%s_%d.xml" % (file_name, index.row())
print " - Saving network: %s..." % (index_file_name),
sys.stdout.flush()
self.population.getIndividual(index.row()).saveToFile(
str(index_file_name), False )
print "Done."
else:
print "Save network(s): Canceled"