abdo-eldesokey / pncnn Goto Github PK
View Code? Open in Web Editor NEWThe official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"
License: GNU General Public License v3.0
The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"
License: GNU General Public License v3.0
I used the pretrained model on validation of KITTI depth dataset. I changed the parameter to save the output images but the images are all black. Is there some problems on saving?
Thank you.
Hi, Thanks a lot for releasing the code. It is a very interesting work. I am trying to run it with the default parameters in workspace/kitti/pncnn
, and got a following error at this line in main function model=f.CNN().to(device)
. May I ask for any suggestions? Many thanks.
Hi, I appreciate your work very much, but I have question on understanding. I want to know why the uncertainty of y can be estimated as the cov(y) in your paper on page 5 left column , formula (7) Thanks!
Hey,
I simply want to run your pretrained model. How is that possible? What I have done:
I used your Kitti download script and modified the download path.
I run:
all of them bring me the following message:
File "main.py", line 290
print('[Train] Epoch ({}) [{}/{}]: '.format(epoch, i+1, len(dataloader)), end='')
SyntaxError: invalid syntax
Why the error? Seems like it jumps in the training routine..? Could you pls give instructions how to run your code with your pretrained model? What exactly to choose as checkpoint path? Do I have to modify any file except the datadownloader (e.g. the args.json as well) ?
Thanks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.