Comments (1)
Actually you can use any constant you want, as long as you use h,w. You could use 1.3 or 7.5 etc. If you want the model to output exactly in pixel coords you use 1/(0.5h). The 4 is simply that I thought it would make stuff about variance 1 (probably not true in practice).
from dkm.
Related Issues (20)
- About testing results HOT 2
- DKMv3 and DKMv2 HOT 4
- Pretrained weights licensing HOT 2
- Questions about the key points on Megadepth test images HOT 2
- About previous sota pdc-net+ HOT 5
- torch.linalg.inv HOT 6
- synthetic dataset
- How to use GC-RANSAC for pose estimation? HOT 1
- question about loading the training images HOT 2
- if it's possible to use DKMv3 for training when there is no depth information in my own dataset? HOT 3
- Whether the inference speed can be optimized HOT 1
- The issues encountered during training the network. HOT 1
- How to draw the Figure 4. Coordinate embeddings preserve multimodality in the main paper HOT 2
- scannet test code HOT 1
- question about internal resolution and homography estimation
- how to export a onnx model?
- Question about Coordinate Embeddings implementations HOT 5
- Inference in batched mode: all values in certainty is zeros HOT 4
- Training on Kitti
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 dkm.