Comments (4)
Hi @vinayver198, you are correct - this is a notation difference between the paper and code. Sorry for the confusion.
We have an updated paper draft with notation that reflects the code and will update the version on Arxiv shortly.
from dpvo.
Hi @lahavlipson , thanks for the clarification.
I have one more doubt related to patch graph. I am trying to understand the complete flow of the code . I am stuck in understanding the way forward and backward edges are working . Actually I wanted to visualise the connections how they form a graph. I have provided some screenshots from which I am trying to understand . It would be great help if you can provide any explanation or reference to understand them.
from dpvo.
Here is a basic illustration of the patch graph: patch_graph.pdf
Each time a new frame is popped from the queue, its patches are given 'backward' edges to the previous frames (e.g. purple to blue, in the illustration).
At the same timestep, patches from previous frames are also given 'forward' edges to the new frame (e.g. blue to purple).
from dpvo.
Hi @lahavlipson ,
Thanks a lot . It was of great help. Now I can visualise the graph clearly.
Thanks,
Vinay
from dpvo.
Related Issues (20)
- model generalization issues
- Trouble with installing DPViewer
- Error when implementing demo HOT 4
- Call for help. It dosent work when I run demo.py with iphone datasets. HOT 3
- What is the purpose of scaling the input image to -0.5 to 1.5 HOT 2
- Missing Code: pops.induced_flow HOT 1
- What's the best way to fine-tune DPVO?
- How to understand the softagg for frame aggregation? HOT 4
- ERROR ❌ installing DPViewer HOT 1
- BUFFER_SIZE not large enough HOT 2
- RuntimeError: CUDA illegal memory access HOT 1
- Illegal memory access while using custom images HOT 8
- Real-time pose estimation HOT 9
- Image gradient bias
- TensorRT export HOT 2
- LieTorch Error: Cannot reshape tensor of 0 elements into shape ... When running TartanAir Evaluation HOT 1
- Question: is it applicable to do camera movement classification?
- Question about the channels of patch tensors
- ERROR: Failed building wheel for dpvo HOT 2
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.