Closed tehreemnaqvi closed 4 years ago
I assume this is more a question to BindsNET rather than this repo.
You can run this sample (which uses conv layer) provided by BindsNET with --plot
flag. It uses the functions you mentioned and visualize them.
Got it. Thank you
Hi, Below is my code.I am trying to show the plot but couldn't do this. What's the problem here? Can you please help? Thanks
if plot:
image = batch["image"].view( 28, 28 )
inpt = inputs["X"].view( time, 784 ).sum( 0 ).view( 28, 28 )
weights1 = conv_conn.w
_spikes = {
"X": spikes["X"].get( "s" ).view( time, -1 ),
"Y": spikes["Y"].get( "s" ).view( time, -1 ),
}
_voltages = {"Y": voltages["Y"].get( "v" ).view( time, -1 )}
inpt_axes, inpt_ims = plot_input(
image, inpt, label=label, axes=inpt_axes, ims=inpt_ims
)
spike_ims, spike_axes = plot_spikes( _spikes, ims=spike_ims, axes=spike_axes )
weights1_im = plot_conv2d_weights( weights1, im=weights1_im )
voltage_ims, voltage_axes = plot_voltages(
_voltages, ims=voltage_ims, axes=voltage_axes
)
plt.ioff()
plt.show()
Hi, I want to plot input spikes, conv2d_weights, voltages. But I am confused how from bindsnet.analysis.plotting works? Can you please how can I visualize all these? Thanks