- The technique is a much more advanced version of the original Deep Dream approach. It is capable of using its own knowledge to interpret a painting style and transfer it to the uploaded image. This tool is a simplified version of the Deep Style one. It is not capable of creating advance transformations but it.
- Run DeepStyle (aka NeuralStyle) in the cloud. Contribute to tleyden/deepstyle development by creating an account on GitHub.
Screen recorder hd pro 3 1 2 – screen recorder. Any DeepStyle – Art Filters & AI Photo Editor 1.0.1 | macOS | 67 mb
Any Deepstyle 1 0 15
Information:
Any DeepStyle is a cool revolutionary app that combines neural networks and AI (Artificial Intelligence) to transform your photos into impressive works of art using 80+ diversified filters & styles, including Mosaic, classical, anime, comic, modern, traditional, abstract, Cartoon as well as your OWN styles.
Save $$$ at OnePlus with coupons and deals like: $20 Off OnePlus Bullets Wireless Z Bluetooth 5.0 Earphones $10 Off OnePlus Buds Education Offer - Up to 10% Off Any Order 20% Off Accessories with OnePlus Email Sign-up OnePlus Coupons and Promo Codes for October Trade-in Program and more >>>. 'Any Video Converter takes videos from your computer or downloaded from the Internet and converts them into just about any format you'd like.' By CNET Editor, April 1, 2014 'Any Video Converter is an easy to use free video converter software program that supports over 100 input video formats.
Not a single App or Photoshop plugin can be comparable to its strong capacity to turn your photos into artworks.
Any DeepStyle is more potential for creativity than a style copier. It can do much, much more. It creates stunning effects, not just in the form of paintings. It challenges someone to make an abstract painting look realistic.
Compatibility: OS X 10.9 or later 64-bit
Mac App Store:
Want to buy my Deepstyle prints? Check out Redbubble.
Don't know what 'Deepstyle Neural Art' is?
This is based on the research paper by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge, you can read about their findings here.
In short, you can apply styles from famous painters like Vincent van Gogh, Rembrandt, Edvard Munch or whomever you choose to your photos for a interesting effect.
Webcode 1 2. As a photographer i find this interesting, since i have a large supply of my own material to apply this to.
To get this to work you need a computer with Ubuntu 14.04 LTS or Ubuntu 16.04 LTS installed, or you could rent a box in the cloud from Digitalocean.
Other useful software that you might want to have handy on your computer to transfer the output files from the Ubuntu box would be PuTTY (for issueing commands in SSH) and WinSCP (for file transfer).
I hope you find this tutorial useful!
Assuming you have Ubuntu installed, lets get to it!
UBUNTU 16.04 LTS:
Do not do this as root, first create a user.
Any Deepstyle 1 0 12
Example (if you are logged in as root) :
sudo adduser neuralsudo usermod -aG sudo neural
su neuralcd ~
(copy/paste commands below to your terminal):
- Make sure everything is up to date
sudo apt-get update && sudo apt-get upgrade - Install GIT
sudo apt-get install git - Install OpenBLAS
sudo apt-get install libopenblas-dev - Install Torch
Answer YES when install is finished and do a : - Update LuaRocks needed for this
luarocks install torchluarocks install nnluarocks install imageluarocks install lua-cjson
We will be using Fast Neural Style from Justin Johnson on Github.
- Make sure you are in home directory
cd ~ - Clone Neural Style repo
git clone https://github.com/jcjohnson/fast-neural-style.git - Go into directory
cd fast-neural-style - Download models (around 655MB download)
bash models/download_style_transfer_models.shbash models/download_vgg16.sh
Keep in mind that you might have to edit the scripts files on change http to https for the downloads to work. - To do this:
sudo nano models/download_style_transfer_models.shsudo nano models/download_vgg16.shAfter this you should be all setup for churning out neural art.
To get started:
- Make sure you are in correct directory
cd ~/fast-neural-style - Command for running Neural Style (without GPU)
th slow_neural_style.lua -content_image images/content/YOURCONTENTFILE.jpg -style_image images/styles/YOURSTYLEFILE.jpg -output_image YOURFILENAME.png -num_iterations 1000 -print_every 1
This will output a image 512px wide, which is the default setting, and print every iteration on screen with a total of 1000 iterations (this can be changed your liking)
Check Fast Neural Style on Github for more information on parameters.
You can change this by doing:th slow_neural_style.lua -style_image NAMEOFPAINTING.jpg
-content_image YOURPHOTO.jpg -gpu -1 -image_size SIZEINPIXELS
-output_image NAMEOFOUTPUT.png -num_iterations NUMBEROFITERATIONS -print_every ITERATIONSTOPRINTONSCREEN
Be advised that the pixel size will affect how much RAM is used, for a 512px image you should have a minimum of 4GB RAM.
Using a box in the cloud can help you with this, like a compute optimized server with 64GB RAM and 32 dedicated hyperthreads from Digitalocean.
I have been making neural art with pixel sizes up towards 2560px on Digitalocean with their largest servers for compute/ml setups.
- Make sure you are in correct directory
UBUNTU 14.04 LTS:
Dependencies needed(copy/paste commands below to your terminal):
- Make sure everything is up to date
sudo apt-get update && sudo apt-get upgrade - Install GIT
sudo apt-get install git - Install LUA
sudo apt-get install lua5.2 - Install LuaRocks
sudo apt-get install luarocks - Install LuaJIT
sudo apt-get install luajit. - Install Torch
sudo curl -s https://raw.githubusercontent.com/torch/ezinstall/master/install-all | bash - Install LoadCaffe
sudo apt-get install libprotobuf-dev protobuf-compilersudo luarocks install loadcaffe - Update LuaRocks needed for this
sudo luarocks install pathssudo luarocks install syssudo luarocks install imagesudo luarocks install nnsudo luarocks install optim
We will be using Neural Style from Justin Johnson on Github.
- Make sure you are in home directory
cdorcd ~ - Make directory
mkdir DeepStyle - Go into directory
cd Deepstyle - Clone Neural Style repo
sudo git clone https://github.com/jcjohnson/neural-style.git - Go into directory
cd neural-style - Download models (around 655MB download)
sudo sh models/download_models.sh
After this you should be all setup for churning out neural art.
This is based on the research paper by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge, you can read about their findings here.
In short, you can apply styles from famous painters like Vincent van Gogh, Rembrandt, Edvard Munch or whomever you choose to your photos for a interesting effect.
Webcode 1 2. As a photographer i find this interesting, since i have a large supply of my own material to apply this to.
To get this to work you need a computer with Ubuntu 14.04 LTS or Ubuntu 16.04 LTS installed, or you could rent a box in the cloud from Digitalocean.
Other useful software that you might want to have handy on your computer to transfer the output files from the Ubuntu box would be PuTTY (for issueing commands in SSH) and WinSCP (for file transfer).
I hope you find this tutorial useful!
Assuming you have Ubuntu installed, lets get to it!
UBUNTU 16.04 LTS:
Do not do this as root, first create a user.
Any Deepstyle 1 0 12
Example (if you are logged in as root) :
sudo adduser neuralsudo usermod -aG sudo neural
su neuralcd ~
(copy/paste commands below to your terminal):
- Make sure everything is up to date
sudo apt-get update && sudo apt-get upgrade - Install GIT
sudo apt-get install git - Install OpenBLAS
sudo apt-get install libopenblas-dev - Install Torch
Answer YES when install is finished and do a : - Update LuaRocks needed for this
luarocks install torchluarocks install nnluarocks install imageluarocks install lua-cjson
We will be using Fast Neural Style from Justin Johnson on Github.
- Make sure you are in home directory
cd ~ - Clone Neural Style repo
git clone https://github.com/jcjohnson/fast-neural-style.git - Go into directory
cd fast-neural-style - Download models (around 655MB download)
bash models/download_style_transfer_models.shbash models/download_vgg16.sh
Keep in mind that you might have to edit the scripts files on change http to https for the downloads to work. - To do this:
sudo nano models/download_style_transfer_models.shsudo nano models/download_vgg16.shAfter this you should be all setup for churning out neural art.
To get started:
- Make sure you are in correct directory
cd ~/fast-neural-style - Command for running Neural Style (without GPU)
th slow_neural_style.lua -content_image images/content/YOURCONTENTFILE.jpg -style_image images/styles/YOURSTYLEFILE.jpg -output_image YOURFILENAME.png -num_iterations 1000 -print_every 1
This will output a image 512px wide, which is the default setting, and print every iteration on screen with a total of 1000 iterations (this can be changed your liking)
Check Fast Neural Style on Github for more information on parameters.
You can change this by doing:th slow_neural_style.lua -style_image NAMEOFPAINTING.jpg
-content_image YOURPHOTO.jpg -gpu -1 -image_size SIZEINPIXELS
-output_image NAMEOFOUTPUT.png -num_iterations NUMBEROFITERATIONS -print_every ITERATIONSTOPRINTONSCREEN
Be advised that the pixel size will affect how much RAM is used, for a 512px image you should have a minimum of 4GB RAM.
Using a box in the cloud can help you with this, like a compute optimized server with 64GB RAM and 32 dedicated hyperthreads from Digitalocean.
I have been making neural art with pixel sizes up towards 2560px on Digitalocean with their largest servers for compute/ml setups.
- Make sure you are in correct directory
UBUNTU 14.04 LTS:
Dependencies needed(copy/paste commands below to your terminal):
- Make sure everything is up to date
sudo apt-get update && sudo apt-get upgrade - Install GIT
sudo apt-get install git - Install LUA
sudo apt-get install lua5.2 - Install LuaRocks
sudo apt-get install luarocks - Install LuaJIT
sudo apt-get install luajit. - Install Torch
sudo curl -s https://raw.githubusercontent.com/torch/ezinstall/master/install-all | bash - Install LoadCaffe
sudo apt-get install libprotobuf-dev protobuf-compilersudo luarocks install loadcaffe - Update LuaRocks needed for this
sudo luarocks install pathssudo luarocks install syssudo luarocks install imagesudo luarocks install nnsudo luarocks install optim
We will be using Neural Style from Justin Johnson on Github.
- Make sure you are in home directory
cdorcd ~ - Make directory
mkdir DeepStyle - Go into directory
cd Deepstyle - Clone Neural Style repo
sudo git clone https://github.com/jcjohnson/neural-style.git - Go into directory
cd neural-style - Download models (around 655MB download)
sudo sh models/download_models.sh
After this you should be all setup for churning out neural art.
Iconstix 3 4 download free. To get started:
- Make sure you are in correct directory
cd ~/DeepStyle/neural-style - Command for running Neural Style (without GPU)
sudo th neural_style.lua -style_image NAMEOFPAINTING.jpg -content_image YOURPHOTO.jpg -gpu -1 -output_image NAMEOFOUTPUT.png
This will output a image 512px wide, which is the default setting.
Check Neural Style on Github for more information on parameters.
You can change this by doing:sudo th neural_style.lua -style_image NAMEOFPAINTING.jpg
-content_image YOURPHOTO.jpg -gpu -1 -image_size SIZEINPIXELS
-output_image NAMEOFOUTPUT.png
Be advised that the pixel size will affect how much RAM is used, for a 512px image you should have a minimum of 4GB RAM.
Using a box in the cloud can help you with this, like Digitalocean.
Generating these images can take time, depending on your hardware, with the use of GPU it will be a lot faster, or by using a cloud service like Digitalocean (non GPU, but quite affordable) or Amazon EC2 (for GPU cloud)
If you're going with the Amazon EC2 (g2.2xlarge or g2.8xlarge) alternative there is a good tutorial on Reddit for this.
If you decide to use the GPU on your Ubuntu box here's how to do it:
(requires a CUDA capable card from Nvidia)
- Go to home directory
cdorcd ~ - Download repo from Nvidia
sudo wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.5-18_amd64.deb - Install repo
sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb - Update packagelist
sudo apt-get update - Install CUDA
sudo apt-get install cuda - Reboot to load driver
sudo reboot - Check if card is being recognized
nvidia-smi - Install CUDA backend for torch
sudo luarocks install cutorchsudo luarocks install cunn - Check if backend is working
cd ~/DeepStyle/neural-stylesudo th -e 'require 'cutorch'; require 'cunn'; print(cutorch)'
This should produce a output. - Test with neural style
sudo th neural_style.lua -gpu 0 -print_iter 2
There are many possibilites with Neural style, here are some examples:
