def setup_application(configuration_filename=None):
MFM.init()
view = View((500, 500))
model = Model(view)
ModelInput(model)
if configuration_filename is None:
model.start()
else:
model.start(construct_chain(configuration_filename, model))
def setup_application(configuration_filename=None):
MFM.init()
view = View((500, 500))
model = Model(view)
ModelInput(model)
if configuration_filename is None:
model.start()
else:
model.start(construct_chain(configuration_filename, model))
fitting_settings = None
with open(args.config) as config:
fitting_settings = json.load(config)
fitters = fitting_settings['fitters']
face_parameters = fitting_settings['input'].get('initial_face', {})
coefficients = face_parameters.get('coefficients', [])
directed_light = face_parameters.get('directed_light', (0., 0., 0.))
ambient_light = face_parameters.get('ambient_light', 0.)
initial_face = Face(coefficients=coefficients,
directed_light=directed_light,
ambient_light=ambient_light)
model_filename = get_datafile_path(fitting_settings['input']['input_image'])
image = Image.open(model_filename).convert('L')
original_data = array(image.getdata()).astype('f') / 255
image_data = original_data.reshape(image.size)[::-1, :].flatten()
image.close()
MFM.init()
view = View((500, 500))
model = Model(view)
model_input = ModelInput(model)
chain = FittersChain(fitters, image_data, model, initial_face=initial_face)
model.start(chain)
def test_redraw():
model = Model(View())
model.start(None)
model.redraw()
model.redraw(lambda: None)
def test_close():
model = Model(View())
model.start()
model.close()