Comments (2)
Hi Dacadezhang, yep that score you got is about right. For tokyo_query.jpg and tokyo_db.png, the score I get is 0.013. It is low because this is a very challenging pair of images. However it is odd that you are only getting 0.25 for the same images - I ran match_two.py with two copies of tokyo_query.jpg and got a score of 1.0. But it does depend on the pair in question. For example, if you run match_two.py on two blank white images, the score is only 0.17. This is because the local feature matching doesn't work properly because every local feature looks the same and thus there are no unique local correspondences between the two images. I suspect your result of 0.25 could be due to a same image pair that contains repetitive patterns within the image. Hope this helps.
from patch-netvlad.
Thanks! Thank you again for your excellent work.
from patch-netvlad.
Related Issues (20)
- cannot find the datasets... HOT 3
- How to arrange the mapillary dataset when training the code HOT 6
- How to get the value of Extended CMU Seasons? HOT 5
- Small issue on feature_match HOT 1
- Loss function HOT 1
- problem on training HOT 6
- Remove the WPCA layer before train HOT 4
- Support MPS
- How about the training time-consuming of hard samples mining module? HOT 3
- how to make a custom dataset? HOT 1
- Qustion about the function get_integral_feature(feat_in) HOT 2
- Cross-match between patches HOT 2
- questions about grouth.npz HOT 2
- How recalls on MSLS, Robotcar seasons, and CMU seasons are produced? HOT 6
- Ambiguity in the reported results
- patchnetvlad recall HOT 1
- pittsburgh_WPCA4096 HOT 1
- Tokyo24/7 HOT 1
- Large time taken for feature matching between query and database images for pitts30k HOT 5
- Unable to download pretrained models 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 patch-netvlad.