Comments (1)
When you are training the network, you should provide the ground truth images as the targets. We didn't use two pairs of composite images and their segmentation masks, just 1 pair.
from rainnet.
Related Issues (20)
- Testing the model with images of arbitrary resolution HOT 3
- error in line 778, networks.py HOT 1
- test accuracy HOT 4
- 请问可以给一下在不同前景比例下,计算MSE和fMSE的代码吗? HOT 1
- Question about normalization HOT 1
- what's the difference between net_G_last.pth and net_G.pth? HOT 1
- the pytorch version about the new model weights which is trained by resolution 512 images HOT 1
- 关于数据集 HOT 1
- 关于训练时使用gpu HOT 5
- 测试结果与论文不同 HOT 3
- 关于分辨率 HOT 8
- Training dataset HOT 2
- about evaluate.py test, HOT 2
- 关于自己训练的问题
- Interesting Work. But gamma and beta are handled on shifted distributions(Background Style Distribution) HOT 1
- 关于训练流程 HOT 1
- 关于网络架构修改,实现高分辨率实时性
- Pre-trained model license question
- 关于用自己的图片进行测试
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 rainnet.