allo-

Yes, I would like it, especially when it increases performance. You can also have a look at https://github.com/allo-/virtual_webcam_background/issues/40#issuecomment-706603497 and https://github.com/de-code/python-tf-bodypix. I think they also appreciate help with the quantized models...

I need to take some time to test your library and tool with working CUDA. I am not sure, but maybe quantized models are optimized for less accurate but faster...

Can you check with `qv4l` what's supported by your camera? It can be possible, that you need the correct combination of format and resolution (though not setting anything should give...

That's what the MJPEG setting is for, so you should be able to use it for faster input. But I seriously doubt that you will reach more than 5 FPS...

You'll need tensorflow-gpu and then a installed CUDA SDK (what you can possibly get through your Linux distribution) and then libcudnn and libnvinfer from the nvidia homepage (you'll need to...

The full script is: https://github.com/ajaichemmanam/simple_bodypix_python/blob/master/get-model.sh It does not have the best UX either ("Refer to https://storage.googleapis.com/tfjs-models for the available models" directs you to a long XML formatted file list), so...

I wonder why the source code refers to a model with `multiplier=0.25` when it seems not to exist neither for mobilenet nor for resnet. https://www.npmjs.com/package/body-pix-node does not mention it, but...

Wait, I confused the two values. Multiplier is a model parameter for mobilenet: > It is the float multiplier for the depth (number of channels) for all convolution ops. The...

Use this bug for discussion and add your parameters here: https://github.com/allo-/virtual_webcam_background/wiki/model-parameters

I think you should be able to edit now. > I am wonder if it is better to have a separate config file for segmentation parameters only, so people can...