quickvision 0.1.0rc4

Computer Vision models and training

Quickvision

• Faster Computer Vision.

Install Quickvision

• Install directly from GitHub. Very soon it will be available over PyPi.

pip install -q git+https://github.com/Quick-AI/quickvision.git

What is Quickvision?

• Quickvision makes Computer Vision tasks much faster and easier with PyTorch.

It provides: -

1. Easy to use torch native API, for fit(), train_step(), val_step() of models.
2. Easily customizable and configurable models with various backbones.
3. A complete torch native interface. All models are nn.Module all the training APIs are optional and not binded to models.
4. A lightning API which helps to accelerate training over multiple GPUs, TPUs.
5. A datasets API to common data format very easily and quickly to torch formats.
6. A minimal package, with very low dependencies.

• Train your models faster. Quickvision has already implmented the long learning in torch.

Quickvision is just Torch!!

• Quickvision does not make you learn a new library. If you know PyTorch you are good to go!!!
• Quickvision does not abstract any code from torch, nor implements any custom classes over it.
• It keeps the data format in Tensor only. You don't need to convert it.

Do you want just a model with some backbone configuration?

• Use model made by us. It's just a nn.Module which has Tensors only Input and Output format.
• Quickvision provides reference scripts too for training it!

Do you want to train your model but not write lengthy loops?

• Just use our training methods such as fit(), train_step(), val_step().

Do you want multi GPU training but worried about model configuration?

• Just subclass the PyTorch Lightning model!
• Implement the train_step, val_step.