Metadata-Version: 2.1
Name: rocketbase
Version: 0.3.2
Summary: Making Machine Learning available to everyone
Home-page: https://rocketbase.ai
Author: Mirage Technologies AG
Author-email: hello@mirage.id
License: Proprietary
Keywords: automatic,ML,deployment,pytorch,pretrained
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: tqdm
Requires-Dist: requests
Requires-Dist: google-cloud-storage
Requires-Dist: numpy (>=1.16.3)
Requires-Dist: opencv-python (>=4.1.0.25)
Requires-Dist: Pillow (>=6.0.0)
Requires-Dist: scikit-image (>=0.15.0)
Requires-Dist: scipy (>=1.2.1)
Requires-Dist: torch (>=1.0.1.post2)
Requires-Dist: torchvision (>=0.2.2.post3)

# RocketBase - library to test and retrain latest pre-trained ML models

Check out the tutorial at [GitHub](https://github.com/LucasVandroux/rockethub-tutorial1) to get started with our library.

Currently, we support Python 3 and PyTorch. More Libraries to come. If there is something you would like to use besides that write us at [hello@mirage.id](mailto:hello@mirage.id)

## Install and test the PIP package

After cloning this repository it will have the name `rockethub` the package however will be called `rocketbase`.

To install the package into your currently active python environment you can use the following command pointing to the directory of the cloned repo:

```
pip install -e rockethub
```




