Comments (1)
ZhengZerong
commented on July 3, 2024
Hi, thanks for pointing out. The rotation in 'RootTransformation' params means the rotation of the model around the original point of the coordinate system. This is different from the SMPL official code sample, in which the model is rotated around the root joint. I guess this is the reason why you get different results. I have provided a piece of code in dataset readme to show how to use the parameters we provided. Thanks.
from deephuman.
Related Issues (14)
- couldn't generate the demo HOT 2
- When will you release the trainning code?
- Can you explain the cam.txt in your dataset? HOT 1
- U-Net structure problem in normal refinement network
- postprocess_im2smpl_result
- Training on custom dataset
- about the test
- protocol
- alignment between rgb and depth image
- Body surface area estimation
- Application for Dataset Password HOT 1
- ptxas fatal : Ptx assembly aborted due to errors
- mask file in dataset 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 deephuman.