Comments (3)
The maximum depth in the training code set to be 32 (mindepth * nlabel), which allow to utilize the whole depth range. In test code, the maxdepth is the user-defined parameter, so user can set any number that user wants to measure. There were no specific reason that I set 10. Only reason that I set as 10m is that maximum ground truth depth in SUN3D, RGBD, MVS are less than 10m. And, there is no quantitative results changes in SUN3D, RGBD, MVS (Small changes in Scenes11), whether we set the maximum as 10m or 32m.
from dpsnet.
Thanks! This is very helpful.
from dpsnet.
@sunghoonim will the performance decay when I set the min depth to a large number like 50m when I test on some scenes with huge scale pose and depth?
from dpsnet.
Related Issues (20)
- What's the use of order.txt file? HOT 2
- Reproduce results on ETH3D HOT 2
- Channel axis dimension is not valid. HOT 1
- Incompatible problem with scipy HOT 1
- Why are the reference image / target images name flipped? HOT 1
- Significance of multiplying and dividing the camera intrinsic params by 4 HOT 1
- Using images from Multiple Cameras
- question about training datasets HOT 1
- Reason for multiplying 0.3 with the min depth and number of depth labels HOT 1
- question about target images
- What's the version of libraries and programs? HOT 2
- question regarding colmap evaluation
- Question about ETH3D Dataset Testing
- Question about Table 1 and Figure 4
- About retraining this network using my datasets
- Some questions about the learning rate in training
- Error occured while preparing the downloaded dataset?
- Reproduce the benchmark
- about using this network
- Questions regarding the point cloud reconstruction evaluation
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 dpsnet.