We use python notebooks for that functionality in the early stages of script testing. Load a cell up top with the model, then do your stuff below, and once things look good convert it to a normal python script.
Are you running both DearImGui visualisation and training locally? If not, how can one use it in the client-server mode? I think this is the most common requirement for visualisation libraries in Deep Learning.
The rendering is done with OpenGL, and for remote viewing I just render to an offscreen framebuffer and stream it back to the client with WebRTC. The code for that isn’t public yet, still needs some cleanup.
We use python notebooks for that functionality in the early stages of script testing. Load a cell up top with the model, then do your stuff below, and once things look good convert it to a normal python script.
Tensor visualizer app itself already looks pretty interesting
Thanks, I will do a deep writeup on that at some point.
Are you running both DearImGui visualisation and training locally? If not, how can one use it in the client-server mode? I think this is the most common requirement for visualisation libraries in Deep Learning.
The rendering is done with OpenGL, and for remote viewing I just render to an offscreen framebuffer and stream it back to the client with WebRTC. The code for that isn’t public yet, still needs some cleanup.
Yeah, sadly the link to their visualizations is gated behind X.com
you can use xcancel.com by adding cancel after the x url