Comments (2)
Are these frames here of 2D COM predictions? Or of 3D COM projections into these cameras? If the latter, then this is probably due to how the animal is missing in half the views. The COM triangulation will use all 8 cameras, so if the animal is missing in 4 of them, the 2D COM in those 4 will be bad, leading to an erroneous 3D prediction.
To check how good your 2D COM predictions are in individual views, you can use the com_debug
config parameter, e.g. com_debug: Camera5
will save the 2D COMs overlaid on each frame during prediction along with the 2D output heatmap.
If the 2D COM predictions look good when the animal is in the frame, you can try to use the comthresh
config option to throw away the bad views when using dannce-train
and dannce-predict
. Any 2D COM heatmaps with maxima below comthresh
(max thresh is 1.0) will be discarded. To use this comthresh
filtering, you need to point to com3d.pickle
rather than com3d.mat
in your dannce config.
from dannce.
Hi, thank you for your reply! These are 3D COM projections into each frames of cameras, and I know what causes the error based on your reply. I will try your advice, thank you!
from dannce.
Related Issues (20)
- Zero training/validation errors but completely wrong in labeled images. HOT 2
- How to train DANNCE with more than 6 cameras? HOT 1
- When running dannce-predict demo script, GPU usage is at 0% HOT 1
- Integration of DANNCE and CAPTURE HOT 1
- Could not find enough inliers in imagePoints and worldPoints HOT 2
- n_views error HOT 1
- dannce-predict loss very small, but result same like normal but shift HOT 6
- Re-train network with new labeled frames HOT 1
- Multi animal COM HOT 2
- how to use rats16.mat skeleton for CAPTURE_demo analysis HOT 1
- calibration HOT 1
- OOM error HOT 2
- File "E:\anaconda\envs\tfnew_25\lib\site-packages\tensorflow\python\framework\ops.py", line 6649, in __init__ raise ValueError("name for name_scope must be a string.") HOT 1
- ValueError: name for name_scope must be a string when doing dannce-predict. HOT 1
- ValueError: bad marshal data (unknown type code) when dannce-predict HOT 1
- frames_with_good_tracking
- Fintune with more than 6 cams HOT 2
- Bad predict result after finetune
- Use dannce_predict on own data
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 dannce.