🔥 Computer vision datasets, transforms, and models for Ruby

First, install libvips. For Homebrew, use:

brew install vips

Add this line to your application’s Gemfile:

gem "torchvision"

This library follows the Python API. Many methods and options are missing at the moment. PRs welcome!

• MNIST
• Transfer learning
• Generative adversarial networks

Load a dataset

TorchVision::Datasets::MNIST.new("./data", train: true, download: true)

Supported datasets are:

• CIFAR10
• CIFAR100
• FashionMNIST
• KMNIST
• MNIST

TorchVision::Transforms::Compose.new([
  TorchVision::Transforms::ToTensor.new,
  TorchVision::Transforms::Normalize.new([0.1307], [0.3081])
])

Supported transforms are:

• CenterCrop
• Compose
• Normalize
• RandomHorizontalFlip
• RandomResizedCrop
• RandomVerticalFlip
• Resize
• ToTensor

• AlexNet
• ResNet
• ResNeXt
• VGG
• Wide ResNet

TorchVision::Models::AlexNet.new

TorchVision::Models::ResNet18.new
TorchVision::Models::ResNet34.new
TorchVision::Models::ResNet50.new
TorchVision::Models::ResNet101.new
TorchVision::Models::ResNet152.new

TorchVision::Models::ResNext52_32x4d.new
TorchVision::Models::ResNext101_32x8d.new

TorchVision::Models::VGG11.new
TorchVision::Models::VGG11BN.new
TorchVision::Models::VGG13.new
TorchVision::Models::VGG13BN.new
TorchVision::Models::VGG16.new
TorchVision::Models::VGG16BN.new
TorchVision::Models::VGG19.new
TorchVision::Models::VGG19BN.new

TorchVision::Models::WideResNet52_2.new
TorchVision::Models::WideResNet101_2.new

You can download pretrained models with this script

pip install torchvision
python pretrained.py

And load them

net = TorchVision::Models::ResNet18.new
net.load_state_dict(Torch.load("net.pth"))

Check your package manager. For Ubuntu, use:

sudo apt install libvips

You can also build from source.

brew install vips

Check out the options.

This library downloads and prepares public datasets. We don’t host any datasets. Be sure to adhere to the license for each dataset.

If you’re a dataset owner and wish to update any details or remove it from this project, let us know.

View the changelog

Everyone is encouraged to help improve this project. Here are a few ways you can help:

• Report bugs
• Fix bugs and submit pull requests
• Write, clarify, or fix documentation
• Suggest or add new features

To get started with development:

git clone https://github.com/ankane/torchvision-ruby.git
cd torchvision-ruby
bundle install
bundle exec rake test