Metadata-Version: 2.1
Name: cvat_sdk
Version: 2.14.3
Summary: CVAT REST API
Home-page: https://github.com/cvat-ai/cvat
Author: CVAT.ai team
Author-email: support@cvat.ai
License: MIT License
Keywords: OpenAPI,OpenAPI-Generator,CVAT REST API
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: attrs>=21.4.0
Requires-Dist: packaging>=21.3
Requires-Dist: Pillow>=10.3.0
Requires-Dist: platformdirs>=2.1.0
Requires-Dist: tqdm>=4.64.0
Requires-Dist: tuspy==0.2.5
Requires-Dist: typing_extensions>=4.2.0
Requires-Dist: python_dateutil>=2.5.3
Requires-Dist: setuptools>=21.0.0
Requires-Dist: urllib3>=1.25.3
Provides-Extra: pytorch
Requires-Dist: torch; extra == "pytorch"
Requires-Dist: torchvision; extra == "pytorch"

# SDK for [Computer Vision Annotation Tool (CVAT)](https://github.com/cvat-ai/cvat)

This package provides a Python client library for CVAT server. It can be useful for
workflow automation and writing custom CVAT server clients.

The SDK API includes several layers:

- Server API wrappers (`ApiClient`). Located in at `cvat_sdk.api_client`.
- High-level tools (`Core`). Located at `cvat_sdk.core`.
- PyTorch adapter. Located at `cvat_sdk.pytorch`.
* Auto-annotation support. Located at `cvat_sdk.auto_annotation`.

Package documentation is available [here](https://docs.cvat.ai/docs/api_sdk/sdk).

## Installation & Usage

To install a prebuilt package, run the following command in the terminal:

```bash
pip install cvat-sdk
```

To use the PyTorch adapter, request the `pytorch` extra:

```bash
pip install "cvat-sdk[pytorch]"
```

To install from the local directory, follow [the developer guide](https://docs.cvat.ai/docs/api_sdk/sdk/developer_guide).

After installation you can import the package:

```python
import cvat_sdk
```
