Comments (2)
It means the output shape is empty. The default testing setting is to output a mesh and sampled points. The 'infinite loop' error is because no point can be sampled on the mesh.
There are some issues in your testing because the output should not be empty. But if you are okay with empty outputs, you can just replace all "test_mesh_point" with "test_mesh" in main.py.
from im-net-pytorch.
Thanks for the helpful answer to my question.
the problem is the point sampling part.
my dataset has a different shape in dimension (e.g. the first dimension is an odd number 255 like that)
It can learn and have excellent performance for 3D object
I really appreciate your outstanding work.
Thanks for the author and best regard!
from im-net-pytorch.
Related Issues (20)
- Code for latent GAN HOT 1
- Reproducing for Point Cloud to Mesh Reconstruction HOT 2
- inconsistency with AE training config and data HOT 2
- Visualizing voxel grid HOT 2
- Question on data preprocessing step HOT 4
- Issues with reconstruction / Discrepancy in metric (CD) HOT 1
- Question on Inference HOT 3
- A concern about the loss function. HOT 6
- training loss keeps increasing for SVR task HOT 2
- About test HOT 8
- About testing HOT 9
- About the original voxel models from HSP HOT 2
- the training code of training font HOT 1
- Training with the ready-to-use data HOT 2
- I can't understand some codes HOT 2
- Have you released the interpolation of 2D Letters? HOT 2
- Train imnet using other data HOT 8
- IM-GAN for pytorch version HOT 1
- About the data preprocess HOT 1
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 im-net-pytorch.