Label-studio

- Video classification example
- `project_name/export` directory where exported results will be saved
- Fixed compatibility issues with Python 3.5 Python 3.8 and Windows (https://github.com/heartexlabs/label-studio/issues/214, https://github.com/heartexlabs/label-studio/issues/203)
- Fix orjson error (https://github.com/heartexlabs/label-studio/issues/215)
- Fix error on completion without objects or relations https://github.com/heartexlabs/label-studio/issues/197
- Actualise installation and docker deployment instructions

A lot of bugfixes related to data import and export, please refer to https://github.com/heartexlabs/label-studio/pull/209 for details

Major bugfixes concerning `--input-path` parameter on starting Label Studio: now you can really specify local paths with json-formatted files, or directory with image or audio files, e.g.:
`label-studio start my_project --init --input-path path/to/local/image/dir --input-format image-dir`

**New features**
- Export to multiple formats on "Export" page depending on chosen label config
- Onboarding setup for new project
- Run `label-studio start-multi-session` to enable session persistent mode: Label Studio creates new project per each browser session
- On-the-fly label config validation: now you can safely change label config in the middle of the labeling process (i.e., adding new labels)
- Deleting tasks through UI

**Misc**
- Support for python>=3.5 and Windows
- Updated and published docker image
- Generating sample tasks fixes

If you are currently using label studio pip package, please upgrade to

PIP the almighty is here!

It's never been easier to start the annotation tool.

bash
pip install label-studio
label-studio start labeling_project --init


Also a lot of bug fixes into this release, refactorings, code cleanups, stability fixes. The frontend has moved into a separate package with the frontend code only.