Comments (8)
saniazahan
commented on August 18, 2024
I have converted the UCLA pytorch implementation to work for NTU the dataloader is fine but when I am trying to train it raises a keyerror: 0. Could you please suggest anything
from predict-cluster.
saniazahan
commented on August 18, 2024
I think the problem is in pad_collate(batch) function in data_loaderPC. Since it is built for ucla and I am trying to use with ntu
from predict-cluster.
christincha
commented on August 18, 2024
Hi, the data loader can be applicable to both UCLA and NTU, but you need to restore the NTU to make sure it has the same format as the UCLA.
from predict-cluster.
tjumfb
commented on August 18, 2024
I get the same problem, looking forward to your implementation on ntu
from predict-cluster.
tjumfb
commented on August 18, 2024
Hi, the data loader can be applicable to both UCLA and NTU, but you need to restore the NTU to make sure it has the same format as the UCLA.
Do you mind offering me the data processing on NTU-Skeleton? I really don't know how to make it
from predict-cluster.
christincha
commented on August 18, 2024
Hi, the data loader can be applicable to both UCLA and NTU, but you need to restore the NTU to make sure it has the same format as the UCLA.
Do you mind offering me the data processing on NTU-Skeleton? I really don't know how to make it
Hello, we add the file preprocess/ntu_preprocess_pytorch.py, you can try it.
from predict-cluster.
tjumfb
commented on August 18, 2024
Hi, the data loader can be applicable to both UCLA and NTU, but you need to restore the NTU to make sure it has the same format as the UCLA.
Do you mind offering me the data processing on NTU-Skeleton? I really don't know how to make it
Hello, we add the file preprocess/ntu_preprocess_pytorch.py, you can try it.
Thank you so mucn
from predict-cluster.
tjumfb
commented on August 18, 2024
Hi, the data loader can be applicable to both UCLA and NTU, but you need to restore the NTU to make sure it has the same format as the UCLA.
Do you mind offering me the data processing on NTU-Skeleton? I really don't know how to make it
Hello, we add the file preprocess/ntu_preprocess_pytorch.py, you can try it.
Do you have a pytorch FW model pretrained on NTU60-CS? We have trained it on pkummd dataset and get a pretty good result,
but It's really hard for it to convergen on NTU60-CS
from predict-cluster.
Related Issues (20)
- Clarification re. Fixed Weight (FW) implementation HOT 3
- eval of each person for ntu dataset HOT 3
- About UWA3DII dataset HOT 2
- UWA dataset HOT 2
- Pretrained model on NTU-CS HOT 1
- Rotation Matrix R HOT 2
- error with get_feature() when run the train.py HOT 2
- some question on KNN HOT 2
- what's the shape of data at every HOT 2
- Train on 2D skeleton dataset HOT 4
- UWA3D handling HOT 1
- Action to predict HOT 5
- UCLA Data HOT 2
- About encoder states trajectories visualization HOT 2
- About problem in running ucla_demo HOT 1
- Your method cannot be called unsupervised!
- Is something wrong in pytorch implementation HOT 4
- Dimension of the hidden layer HOT 4
- About NTU datasets HOT 34
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 predict-cluster.