Quickvision

Faster Computer Vision.

Install Quickvision

Install from PyPi.
Current stable release 0.1.1 needs PyTorch 1.7.1 and torchvision 0.8.2.
```
pip install quickvision
```

What is Quickvision?

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

It provides: -
1. Easy to use PyTorch native API, for fit(), train_step(), val_step() of models.
2. Easily customizable and configurable models with various backbones.
3. A complete PyTorch 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 convert common data formats very easily and quickly to PyTorch formats.
6. A minimal package, with very low dependencies.
Train your models faster. Quickvision has already implemented the long learning in PyTorch.

Quickvision is just PyTorch!!

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 PyTorch, nor implements any custom classes over it.
It keeps the data format in Tensor so that 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().