Comments (4)
Hi everybody,
Same issue there. Can try to add on this.
-
2d labeling looking good, so I figured out the problem is probably introduced during calibration
-
calibration step looks normal. The initial pixel error is big but I guess it is how it should be as it decreases?
-
triangulation is probably the problem. It takes much longer than on the example screenshots and the behavior of the cost function also looks weird.
And needless to say in the end I get exactly the same videos as @tzeriver
I thought, maybe it is some kind of package version issue as I installed Anipose in the latest DLC-GPU environment. But any ideas are much appreciated.
Thank you,
Daniil
from anipose.
Hello everyone,
I have encountered the same problem as described above.
The resulting model looks similar to @tzeriver and my 2D calibration looks ok (as described by @BerezhnoyD, without any error messages, etc.).
I am using:
- Anipose: version 1.0.1
- DeepLabcut: version 2.2.1
- System: Ubuntu 20.04.4 LTS
Are there any news regarding this issue @lambdaloop ?
Your help is very much appreciated.
from anipose.
Hi again,
@greyishfox
It seems that the problem was not with the triangulation itself, but with the post-processing filters. They are not well documented, so I had to figure them out by myself. Or @lambdaloop maybe there is a documentation that can help?
So, if I'm not mistaken, there are two algorithms to smooth the data and get rid of the outliers.
- RANSAC (actually works good)
- Optimization based on the constraints (adds this jerky movement if there are too many outliers, kind of ties the whole model to the outliers)
If we apply both of them, we get the videos described by @tzeriver. But if we leave only the RANSAC in the config file we get the graphs like in the tutorial. Solved the issue for me.
Hope this helps
Sincerely,
Daniil
from anipose.
Hi @BerezhnoyD
Thank you very much for your help!
Meanwhile I also get nice 3D models similar to the example videos shown in the tutorial but with a slightly different approach.
Since version v0.9.0 is the last listed tag of this project, I assumed that version v1.0.1 is not yet stable. Therefore, I simply installed the last stable version v0.9.0.
For anyone unsure how to install a different version:
Instead of running "python -m pip install anipose
" (from the installation guide) I pointed to an earlier version of my local repo using git (command: git checkout v0.9.0
) and installed this version with "python -m pip install -e <PATH TO PROJECT>
".
Anyway, depending on the usecase, @BerezhnoyD's solution is probably the better way to go.
from anipose.
Related Issues (20)
- Error in Calibration HOT 2
- How to Utilize GPU for Anipose HOT 1
- Anipose Label-3D 'traitsui.toolkits' HOT 1
- Anipose tutorial
- error in anipose filter command if turn [filter] parameter for 'True' HOT 5
- anipose label-3d slows down after the first video
- How to use Sleap 2D coordinates output with Anipose HOT 2
- draw-calibration returns a different pattern HOT 1
- I encountered the following problem when performing the anipose filter step. It was still running successfully a month ago HOT 1
- I encountered the following situation when running anipose angles. If there are no these parameters, an error will be reported. HOT 1
- Questions about camera calibration HOT 1
- Skeleton Different in Anipose2D than in DeepLabCut
- Anipose triangulation error: not enough 3D points to run optimization
- Why does the csv file generated after I run anipose-triangulate have no xyz coordinates?
- Anipose doesn't use GPU HOT 3
- calibration; how to use known intrinsics and what is the origin of the coordinate system?
- Could not run anipose with the toml file HOT 2
- TypeError during anipose 2d-filter HOT 2
- Does anipose work with calibration images?
- CPU Only issue HOT 4
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 anipose.