tensorspace 0.0.3

A reference implementation of an AI lab.

TensorSpace is a reference implementation of an artificial intelligence lab.

Why?

I was tired of setting up ad hoc environments for various research experiments. I wanted a solution that can turn any “computer” into a research environment that I can use right away.

Features

• Downloads and normalizes datasets. Currently only COCO, but more coming. Saves everything into a nice organized directory structure.

• Single annotation schema for all datasets. You don’t need to research with just one dataset at a time anymore. You do queries like “give me all images with bounding boxes from all datasets”.

• Automatically preprocess vectors or other intermidate datasets.

• Coming soon: Demos and models that use the data.

• Coming soon: GraphQL API for running models

• Coming soon: Multiple deployment targets. This will include Kubernetes.

Installation

pip install tensorspace

Usage

tensorspace up