paolovic

I am still having the problem I want to deploy one model with tensor_parallel_size=2 (just 1 replica), one model with num_gpus=0.4 (with 2 replicas, so in total 0.8 GPUs), and...

> There currently isn't great support for single image rendering, you can either > > * save the viewer canvas as a PNG (in viser, click the control knobs icon->export...

> For rendering the scene, maybe you can work backward from here? > > https://github.com/nerfstudio-project/nerfstudio/blob/dd811f58bce4dd56a75147c63218eb190fc8143c/nerfstudio/scripts/render.py#L195-L198 I did, respectively, I tried. In the meantime, I thought that `render.py` is not the...

So, I extended my nerfstudio render.py by the following feature It allows me to specify an eye and a target to create an initial view, but also a start and...

Any update here?

thank you @hyaticua , will give this a try

Hi @IlyasMoutawwakil , https://github.com/AutoGPTQ/AutoGPTQ/issues/486 There is also a code snippet provided. I am almost certain using AutoGPTQForCausalLM will solve my problem, as soon as I have some time, I will...

same here ``` ns-train splatfacto --load-checkpoint outputs/room2/splatfacto/2024-04-22_141534/nerfstudio_models/step-000029999.ckpt --data processed_data/room2/ --max-num-iterations 10000 --logging.local-writer.enable True --logging.relative-log-dir logs ``` no logs will be created and I am using NerfStudio 1.0.2

Hi @Parskatt , with my 11GB of GPU memory, I run out of memory when trying batching, does that make sense or am I doing something wrong? ``` +-----------------------------------------------------------------------------+ |...

@Parskatt Thanks for the very fast reply! Lemme check, I'll update my answer later. @Parskatt Uh nice, yes with ``` batch = {"im_A": query_images, "im_B": ref_batch_images} with torch.inference_mode(): corresps =...