Comments (3)
Which do you want to upscale anime-style images or photo-style images?
If you want to upscale anime-style images, you should train models with anime-style images dataset and vice versa.
In my understanding, DIV2K dataset is photo-style images dataset that is not suitable for traininig anime-style models. It may be possible to train anime-style models with photo-style images if you tune hyper-parameters but it's so hard.
My dataset is self crawled 6000 high-resolution-anime-style images.
from waifu2x-chainer.
Hi @tsurumeso,
Thanks for your help and apply sincerely ^^
I want to upscale photo-style images. I found that using anime-style images for training can get sharper line for upscaled images on visualization.
I use the danbooru anime-dataset and random pick about 6000 for training.
But the output results exist some contour along the shape and not great as yours.
Could you give me some tips to gather the images for training & fine-tuning?
from waifu2x-chainer.
Images for pretraining should be high-resolution.
Images for fine-tuning should be high-resolution AND noise-free.
Getting high resolution images is simple. All you need is downloading only images that are larger than a certain size. For example, the images larger than 1000x1000 pixels and so on.
You could get noise-free image by downloading only .png
images. After that you need to manually select true PNG images because the file content may be JPEG even if the extension is .png
.
from waifu2x-chainer.
Related Issues (20)
- [Question] how to build Waifu2x-chainer on Gcloud VM instance correctly?
- cannot downscale when using GPU for '-S' or '-L' command HOT 7
- [feature request] overwrite for corrupt results, skip for finish results
- [Bug] cannot write file as WebP. Wait, what? HOT 3
- training problems HOT 1
- [feature request] suport cuDNN for faster perfomance HOT 2
- [support request] are possible to support all JPEG formats? HOT 1
- Train a model with 2 imputs. HOT 1
- argument '-e' is not functional
- [Question] Use without gpu HOT 2
- RuntimeError: CUDA environment is not correctly set up HOT 1
- Is there any way to increase upscale to more than 2x?
- Convert original Torch7 Models to Chainer or ONNX HOT 2
- training custom model, is this accuracy reasonable?
- AttributeError: 'NoneType' object has no attribute 'image'
- Release to pypi.org
- The upresnet10 model is not exported as a caffe model
- Need cunet model
- Question: Is this pip installable?
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 waifu2x-chainer.