Comments (3)
Hi,
In the current version of the framework there is no 'proper' way to test on unlabeled data but I think the solution you describe should work. Could you please specify exactly what error you get when you try setting all labels to 0? I can also suggest trying to set them to 1 instead, because by default points with 0 labels correspond to the background class and may be ignored.
from tangent_conv.
I don't really get any error when I set all labels to 0, the software just gets stuck for a very long time in the function precompute_validation_batches()
. If I understand correctly, there is at some point a search for a random point, and the random point is discarded if the label is 0: so with all labels to 0, I imagine it either goes to an infinite loop or to a very very long search that will never find anything.
If I put all labels to 1, am I correct that it also means that I should not use these labels in the validation set? Otherwise the training will wrongly consider these points as ground truth for label 1? Or is it working differently?
from tangent_conv.
I see. I will update the code to support proper testing.
Sure, you should not use those labels in the validation set. Using unlabeled data for validation would not make sense anyway - you need ground truth there.
from tangent_conv.
Related Issues (15)
- Building Open3D requires RandR HOT 1
- strange output during executing --precompute HOT 4
- name 'scan' is not defined HOT 2
- learning_rate not used HOT 1
- QUIRES failed at gather_nd_op.cc:50 : Invalid argument: flat indices[1349999, :] = [-1] does not index into param (shape: [200000,7]). HOT 1
- Memory issue when running get_data.py Semantic3D HOT 1
- "'model' object has no attribute 'tr_batch_array'" HOT 2
- Pretrained weights
- 'voxel_down_sample_for_surface_conv' is not defined HOT 9
- train.txt and validation.txt is not provided. HOT 1
- Training on a different dataset HOT 2
- Problem precomputing S3DIS Area_5_hallway_6 HOT 4
- Bug when decreasing the batch size value HOT 5
- ScanNet issue HOT 2
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 tangent_conv.