Comments (1)
Got a model trained to accuracy of 0.998. Almost close to 1 (But I also think we might have over fit.)
I believe, we have not been able to gain the regions of interest in spite of having a trained model. This could be because we are using our own code for labelling the components in the output image.
We try various techniques of filtering, thresholding in the input image, but still ended up getting sub standard results.
from johnson.
Related Issues (14)
- Loading example.py HOT 4
- cv2 thresholds/filters HOT 2
- Unet not converging HOT 1
- Build Unet into the main file. HOT 1
- Scaling images from the results of UNet HOT 1
- add contributors HOT 1
- import matplotlib running on terminal HOT 6
- Having trouble accessing files on Google Cloud HOT 3
- Filtering? HOT 2
- CNMF HOT 6
- Speeding up HOT 1
- PEP8 Standards
- I/O, prototype 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 johnson.