Comments (7)
Hi,
I am happy that you use the tool.
It could be a problem with the initial orientation and placement of your scan. Try to take a look at the section in the README file on: "Specifying a pre-transformation"
You can experiment with different angles and see if your results get better.
Best,
Rasmus
from deep-mvlm.
Thanks Rasmus for your prompt reply and guidance!
I tried different angles but still without better results. I checked in Meshlab the orientation and I have the mesh over the z and x axis.
I will keep trying, but I would appreciate any other recomendation, maybe I missing something else.
from deep-mvlm.
Could you send the scan to me? Then I can see what might be the problem.
from deep-mvlm.
Could you send the scan to me? Then I can see what might be the problem.
Thank you! I have many of them to detect landmarks and your tool will be very usefull!
from deep-mvlm.
I made it work by changing the scale=100 in the pre-align section of the JSON config file.
It is currently assumed that the face are recorded in physical space (in millimeters). For non-calibrated 3D scanners, it is (unfortunately) necessary to scale the scan so it is approximately the same size as a real face (in mm).
from deep-mvlm.
Wow! Thank you Rasmus! I am getting great results now by changing the scale=100 per your comment.
Another last question, I am trying to evaluate meshes predicted by different facial reconstruction methods versus my own scans, and to obtein any metric about the quality of the reconstruction. I am using the following code: https://github.com/patrikhuber/fg2018-competition. In this code, is a requirement to have 7 landmarks:
Is it possible to change the output of the .txt file with those only 7 landmarks instead of 84? So, I can use it in the evaluation algorithm. It is just a question, I know that probably the model was trained to detect more landmarks. Otherwise I can code a python script to get a .txt with only the 7 key points from the 84 txt file.
Thank you again for your time and for sharing your great work!
from deep-mvlm.
I am happy that it works. I think it would be the easiest that you create a separate script that filters the landmarks from 84 to 7.
from deep-mvlm.
Related Issues (14)
- NotImplementedError: cannot instantiate 'WindowsPath' on your system HOT 10
- DTU3D-depth on the man_bust.obj example
- The landmark placing on the MRI head model
- Any recommendations for how I can improve the accuracy of the landmarking for my usecase? HOT 1
- How to get Deep-MVLM style shading on mesh?
- Google colab implementation?
- AttributeError: 'NoneType' object has no attribute 'GetMapper' HOT 9
- DTU-3D dataset HOT 1
- White Image View HOT 3
- Regarding custom dataset HOT 3
- Implementation of 3D landmark annotation HOT 1
- Is it able to support the xyz format file? HOT 2
- failed detect due to orthogonal projection paramter 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 deep-mvlm.