Attention
To run locally, the code for these interactive demos requires
a Jupyter Notebook environment,
and the Jupyter Widgets extension (ipywidgets).
Components - Gaussians#
Gaussian#
stimupy.components.gaussians.gaussian()
import ipywidgets as iw
from stimupy.utils import plot_stim
from stimupy.components.gaussians import gaussian
# Define widgets
w_height = iw.IntSlider(value=10, min=1, max=20, description="height [deg]")
w_width = iw.IntSlider(value=10, min=1, max=20, description="width [deg]")
w_ppd = iw.IntSlider(value=20, min=1, max=40, description="ppd")
w_sig1 = iw.FloatSlider(value=1, min=0, max=3, description="sigma1 [deg]")
w_sig2 = iw.FloatSlider(value=1, min=0, max=3, description="sigma2 [deg]")
w_rot = iw.IntSlider(value=0, min=0, max=360, description="rotation [deg]")
w_int1 = iw.FloatSlider(value=1., min=0, max=1, description="intensity max")
w_ori = iw.Dropdown(value="center", options=['center', 'mean', 'corner'], description="origin")
w_mask = iw.ToggleButton(value=False, disabled=False, description="add mask")
# Layout
b_im_size = iw.HBox([w_height, w_width, w_ppd])
b_geometry = iw.HBox([w_sig1, w_sig2, w_rot])
b_add = iw.HBox([w_ori, w_mask])
ui = iw.VBox([b_im_size, b_geometry, w_int1, b_add])
# Function for showing stim
def show_gaussian(
height=None,
width=None,
ppd=None,
rotation=0,
sigma1=None,
sigma2=None,
origin=None,
intensity_max=None,
add_mask=False,
):
try:
stim = gaussian(
visual_size=(height, width),
ppd=ppd,
sigma=(sigma1, sigma2),
origin=origin,
rotation=rotation,
intensity_max=intensity_max,
)
plot_stim(stim, mask=add_mask)
except Exception as e:
raise ValueError(f"Invalid parameter combination: {e}") from None
# Set interactivity
out = iw.interactive_output(
show_gaussian,
{
"height": w_height,
"width": w_width,
"ppd": w_ppd,
"rotation": w_rot,
"sigma1": w_sig1,
"sigma2": w_sig2,
"origin": w_ori,
"intensity_max": w_int1,
"add_mask": w_mask,
},
)
# Show
display(ui, out)