Comments (2)
Same question.
from dpvo.
This was a mistake; we intended to scale to [-1, 1], but by the time we had noticed, we had already trained a model using [-0.5, 1.5] so we left it in. This shouldn't impact the performance.
from dpvo.
Related Issues (20)
- randomly selecting patch centroids vs. 2D keypoint locations HOT 2
- Extracting full image depth maps
- Unable to find cuda_ba in the site packages folder after running pip install . HOT 6
- Missing calib/icl_nuim.txt HOT 2
- Why does the program get stuck when calling ii jj kk in the forward function of net.py
- what part of the tartan dataset being used for training?
- Running in c++?
- About camera pose for Replica HOT 4
- scale drift on demo
- Compiling in Windows HOT 10
- Points not visible in DPViewer HOT 2
- How is TarTanAir dataset downloaded? HOT 2
- Run demo.py, while only loops twice and ends HOT 16
- Regarding the issue of deep initialization
- metric depth estimation
- Is running in CPU only possible?
- How is the structure of the Tartan datasets arranged during training? HOT 2
- NAN appears when training HOT 1
- Scheduler issue during training
- About coordinate system
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 dpvo.