Comments (5)
Ah yes, thank you, the link you mentioned allowed me to fix my issue, and yes thank you for linking the sample data as well! Cheers!
from clip-fields.
Hi, thanks for trying out CLIP-Fields!
I am using Ubuntu 20.04. The error looks like it is coming from trying to compile the grid_encoder
, which is taken from the Torch NGP repo. I am not an expert in it, and I think you may get more help and knowledgable responses if you raise this issue there.
Edit: Googling the problem seems like there's a potential fix here, have you tried this already? pytorch/extension-cpp#71
from clip-fields.
Also, I am sorry, but I did not see the second part of your question.
Additionally if I ignore this error and just try to run the demo notebook
clip-fields/demo/1 - parse rgbd.ipynb
I am stuck because I don't have an RGB-D video myself, or an iPhone 13. Would it be possible for you to supply a demo file, or a link to one? Thank you.
You can find some sample data hosted at OSF at the data link on the readme, right here.
from clip-fields.
Hi there, another quick question. I keep getting out of memory errors when I try to run the demo notebooks.
Could you please give me an estimate of the kind of hardware necessary to run the demo scripts? What are you using? Mainly I would like to know how much RAM to create the dataset, and how much GPU memory to run inference.
Thank you.
from clip-fields.
I would like to know how much RAM to create the dataset, and how much GPU memory to run inference.
I have run the code on machine with a 10 GB GPU memory (Nvidia 3080) and 64 GB RAM, but I have not run proper benchmarking so I cannot tell you if that is the minimum requirement for inference.
from clip-fields.
Related Issues (9)
- Demonstration issues #2 (Memory) HOT 3
- How to switch from home robot to turtle 3? HOT 1
- Out Of Memory - RAM HOT 7
- About time cost on training HOT 1
- Runtime Error HOT 5
- Installation issues #1 (CUDA, Detectron2, etc) HOT 10
- Installation issues #2 (CUDA, Detectron2, etc) HOT 4
- Demonstration issues #1 (Dataset) HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from clip-fields.