Comments (4)
Hi, thank you for your suggestion. I also think about this. I believe that adding epsilon to the denomitar may not be appropriate since this epsilon can be order of magnitude higher than the value itself. Instead I tried to add epsilon to a heatmap:
monkey-net/modules/keypoint_detector.py
Line 49 in 7c116b6
Which should potentially aliviete the issue of zero singular value, if this is not the case you can try to increase the epsilon.
In any case I found this variances problematic to work with and in follow up work, I eliminate them completely.
from monkey-net.
Hi,
Thanks for your response!
In any case I found this variances problematic to work with and in follow up work, I eliminate them completely.
Do you mean you only model the mean of the keypoints in this case?
from monkey-net.
Not only the mean. I also estimate affine
transformation matrix near each keypoint.
from monkey-net.
I see, thanks for your suggestions :)
from monkey-net.
Related Issues (20)
- What is the image meaning of each column when training shape dataset HOT 2
- Questions about kp2gaussian and gaussian2kp HOT 1
- how do i reduce the batch size? demo.py
- cuda running out of memory with vox 256x256 dataset chekpoint. suggest edits pls. HOT 1
- align source image with the first frame of driver video HOT 4
- Extract keypoints HOT 3
- expected keypoint coordinates HOT 2
- How to make motion transfer demo working for frame by frame prediction? HOT 1
- assigning zero weights to hourglass decoder while predicting mask HOT 1
- keypoint predictions HOT 7
- About pretrained models HOT 2
- Mask Embedding
- The link of checkpoint is invalid
- Pretrained checkpoint HOT 1
- Training on custom data using pretrained weights HOT 4
- transfer params
- Log file - More number of lines in log file than expected HOT 4
- training strategy HOT 1
- Question about generator training HOT 2
- RuntimeError: CUDA error: out of memory
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 monkey-net.