Comments (2)
Yes, certainly. To obtain more fine-grained segmentation masks, you can consider applying the normalized cut algorithm to the initial masks. This algorithm can help to provide more fine-grained results.
Alternatively, you can also explore using k-Means clustering or spectral clustering methods to obtain more part segmentation masks. These clustering techniques can help further partition the objects into smaller regions or parts, allowing for a more comprehensive and detailed segmentation of the objects in the image.
from cutler.
Closing it now. Please feel free to reopen it if you have further questions.
from cutler.
Related Issues (20)
- Can't download a model from the model zoo. HOT 5
- eigh() got an unexpected keyword argument 'subset_by_index' HOT 2
- backbone change HOT 1
- ModuleNotFoundError: No module named 'third_party' HOT 2
- Can i train a "videocutler"? HOT 5
- Error when running videocutler demo HOT 4
- Set up panoptic/semantic segmentation with cutler HOT 4
- Error with imports when using the notebook demo for maskcut HOT 4
- Can i visualize the synthesis training data? HOT 1
- Compatibility of Cut and Learn (CutLER) Model with Windows HOT 1
- Can Cutler be converted to trt engine file HOT 1
- Colab and huggingface Demo not working HOT 1
- copy_and_paste code error HOT 1
- Can I train a 3090 without affecting the effect? HOT 2
- Setting of VideoCutLER's baseline
- question about customized data training HOT 1
- When I perform self-training I get an error file
- is pre-trained VideoCutLER available?
- Adapting CutLER for other detectors
- cuda
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 cutler.