def preparePlot(shapeModeler):
global sliders, mainPlot, fig
fig, ax = plt.subplots();
whiteSpace = 0.15 + numParams*0.05;
plt.subplots_adjust( bottom=whiteSpace);
plt.axis('equal');
#plot of initial shape
params = np.zeros((numParams,1));
shape = shapeModeler.makeShape(params);
shape = ShapeModeler.normaliseShape(shape);
numPointsInShape = len(shape)/2;
x_shape = shape[0:numPointsInShape];
y_shape = shape[numPointsInShape:];
mainPlot, = plt.plot(x_shape, -y_shape);
plt.axis([-1, 1, -1, 1],autoscale_on=False, aspect='equal');
#add sliders to modify parameter values
parameterVariances = shapeModeler.getParameterVariances();
sliders = [0]*numParams;
for i in range(numParams):
slider = Slider(plt.axes([0.25, 0.1+0.05*(numParams-i-1), 0.65, 0.03], axisbg=axcolor),
'Parameter '+str(i+1), -5*parameterVariances[i], 5*parameterVariances[i], valinit=0);
slider.on_changed(update);
sliders[i] = slider;
resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')
button.on_clicked(reset)
plt.show()
def param_gui(letter_name, shapeModeler):
global sliders, mainPlot, fig, pca_params
fig, ax = plt.subplots()
whiteSpace = 0.15 + num_params*0.05
plt.subplots_adjust( bottom=whiteSpace)
plt.axis('equal')
#plot of initial shape
params = np.zeros((num_params,1))
shape = shapeModeler.makeShape(params)
shape = ShapeModeler.normaliseShape(shape)
numPointsInShape = len(shape)/2
x_shape = shape[0:numPointsInShape]
y_shape = shape[numPointsInShape:]
mainPlot, = plt.plot(x_shape, -y_shape)
plt.axis([-1, 1, -1, 1],autoscale_on=False, aspect='equal')
plt.title(letter_name)
#add sliders to modify parameter values
parameterVariances = shapeModeler.getParameterVariances()
sliders = [0]*num_params
for i in range(num_params):
slider = Slider(plt.axes([0.25, 0.1+0.05*(num_params-i-1), 0.65, 0.03], axisbg=axcolor),
'Parameter '+str(i+1), -5*parameterVariances[i], 5*parameterVariances[i], valinit=0)
slider.on_changed(partial(update, shapeModeler))
sliders[i] = slider
resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')
button.on_clicked(reset)
plt.show()
return pca_params
def update(val):
global sliders , mainPlot, fig
params = np.zeros((numParams,1));
for i in range(numParams):
params[i] = sliders[i].val;
shape = shapeModeler.makeShape(params);
shape = ShapeModeler.normaliseShape(shape);
numPointsInShape = len(shape)/2;
x_shape = shape[0:numPointsInShape];
y_shape = shape[numPointsInShape:];
mainPlot.set_data(x_shape, -y_shape);
fig.canvas.draw_idle();
def update(val):
global sliders, mainPlot, fig
params = np.zeros((numParams, 1))
for i in range(numParams):
params[i] = sliders[i].val
shape = shapeModeler.makeShape(params)
shape = ShapeModeler.normaliseShape(shape)
numPointsInShape = len(shape) / 2
x_shape = shape[0:numPointsInShape]
y_shape = shape[numPointsInShape:]
mainPlot.set_data(x_shape, -y_shape)
fig.canvas.draw_idle()
def update(shapeModeler, val):
global sliders , mainPlot, fig, pca_params
pca_params = np.zeros((num_params, 1))
for i in range(num_params):
pca_params[i] = sliders[i].val
shape = shapeModeler.makeShape(pca_params)
shape = ShapeModeler.normaliseShape(shape)
numPointsInShape = len(shape)/2
x_shape = shape[0:numPointsInShape]
y_shape = shape[numPointsInShape:]
mainPlot.set_data(x_shape, -y_shape)
fig.canvas.draw_idle()
def preparePlot(shapeModeler):
global sliders, mainPlot, fig
fig, ax = plt.subplots()
whiteSpace = 0.15 + numParams * 0.05
plt.subplots_adjust(bottom=whiteSpace)
plt.axis('equal')
#plot of initial shape
params = np.zeros((numParams, 1))
shape = shapeModeler.makeShape(params)
shape = ShapeModeler.normaliseShape(shape)
numPointsInShape = len(shape) / 2
x_shape = shape[0:numPointsInShape]
y_shape = shape[numPointsInShape:]
mainPlot, = plt.plot(x_shape, -y_shape)
plt.axis([-1, 1, -1, 1], autoscale_on=False, aspect='equal')
#add sliders to modify parameter values
parameterVariances = shapeModeler.getParameterVariances()
sliders = [0] * numParams
for i in range(numParams):
slider = Slider(plt.axes(
[0.25, 0.1 + 0.05 * (numParams - i - 1), 0.65, 0.03],
axisbg=axcolor),
'Parameter ' + str(i + 1),
-5 * parameterVariances[i],
5 * parameterVariances[i],
valinit=0)
slider.on_changed(update)
sliders[i] = slider
resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')
button.on_clicked(reset)
plt.show()
