Comments (4)
Any image should have a head, face and background. Because there are images in this format in the dataset. Your scenario is very different. Can you share an example image?
from ear-segmentation-ai.
Any image should have a head, face and background. Because there are images in this format in the dataset. Your scenario is very different. Can you share an example image?
Thank you. This is the image of my dataset.
There is no background in the image, and according your explain, should I train a new model from the scratch?
and what is the loss function & optim function that you utilized in your training procedure?
from ear-segmentation-ai.
You can use this repo:
https://github.com/qubvel/segmentation_models.pytorch
from ear-segmentation-ai.
You can use this repo: https://github.com/qubvel/segmentation_models.pytorch
Ok, I am using the repo right now, and the result is better,
Thank you very much.
from ear-segmentation-ai.
Related Issues (4)
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 ear-segmentation-ai.