Comments (3)
Hi,
If I understand the lisense right, the code is only covered by the MIT license. It only allows academic use. The pre-trained model instead is covered by both the MIT and the Adobe license.
from indexnet_matting.
If you add additional restrictions like "academic purpose only", it's not the MIT license anymore and you should probably choose a different name to avoid confusion.
Most people won't expect additional restrictions when they read the MIT license:
Permission is hereby granted [...] to deal in the Software without restriction [...]
Also I am not sure about the model license. Usually, when something has multiple licenses, you can choose which one you want to abide by, but that is probably not intended here, since you can't lift the restrictions of the Adobe license. Applying both licenses at once does not make sense either because the licenses contradict each other.
from indexnet_matting.
The license has been updated to clarify that the code may only be utilized for academic purposes.
from indexnet_matting.
Related Issues (20)
- Automatic Background Removal technology HOT 1
- Reproducing results HOT 22
- Correct the relative path and switch to the CPU. HOT 1
- errors when use model.train() HOT 2
- How to solve this error? When I run this net to predict an image,I have GPU,But I want not to use it. HOT 2
- Questions about B11 model HOT 2
- Train Own Dataset HOT 3
- train on multi gpu HOT 2
- RandomCrop 对于图像尺寸320的处理会抛出异常 HOT 2
- Is the validate in training necessary? HOT 2
- error in loading pre-trained model to train on multi-gpu HOT 3
- Adobe Image Matting dataset HOT 1
- Possible reasons for different performance between DIM Re-implementation and original implementation HOT 1
- Training on custom data set
- In terms of speed of reasoning, whether you can achieve real time
- Where can I download the dataset? HOT 3
- freeze_bn seems to be an invalid option HOT 3
- How can I train the DIM?
- Rare inconsistency for background image size during data loading 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 indexnet_matting.