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## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Testing](#testing)
- [Design](#design-and-code-structure)
## Installation
### Prerequisites
- Python (3.5+)
``` bash
git clone https://github.com/openvinotoolkit/datumaro
```
Optionally, install a virtual environment (recommended):
``` bash
python -m pip install virtualenv
python -m virtualenv venv
. venv/bin/activate
```
Then install all dependencies:
``` bash
while read -r p; do pip install $p; done < requirements.txt
```
If you're working inside of a CVAT environment:
``` bash
. .env/bin/activate
while read -r p; do pip install $p; done < datumaro/requirements.txt
```
Install Datumaro:
``` bash
pip install -e /path/to/the/cloned/repo/
```
**Optional dependencies**
These components are only required for plugins and not installed by default:
- OpenVINO
- Accuracy Checker
- TensorFlow
- PyTorch
- MxNet
- Caffe
## Usage
``` bash
datum --help
python -m datumaro --help
python datumaro/ --help
python datum.py --help
```
``` python
import datumaro
```
## Testing
It is expected that all Datumaro functionality is covered and checked by
unit tests. Tests are placed in `tests/` directory.
To run tests use:
``` bash
python -m unittest discover -s tests
```
If you're working inside of a CVAT environment, you can also use:
``` bash
python manage.py test datumaro/
```
## Design and code structure
- [Design document](docs/design.md)
- [Developer guide](docs/developer_guide.md)
## Code style
Try to be readable and consistent with the existing codebase.
The project mostly follows PEP8 with little differences.
Continuation lines have a standard indentation step by default,
or any other, if it improves readability. For long conditionals use 2 steps.
No trailing whitespaces, 80 characters per line.
## Environment
The recommended editor is VS Code with the Python plugin.