--- title: 'CVAT Python SDK' linkTitle: 'SDK' weight: 3 description: '' --- ## Overview CVAT SDK is a Python library. It provides you access to Python functions and objects that simplify server interaction and provide additional functionality like data validation and serialization. SDK API includes several layers: - Low-level API with REST API wrappers. Located at `cvat_sdk.api_client`. {{< ilink "/docs/api_sdk/sdk/lowlevel-api" "Read more" >}} - High-level API. Located at `cvat_sdk.core`. {{< ilink "/docs/api_sdk/sdk/highlevel-api" "Read more" >}} - PyTorch adapter. Located at `cvat_sdk.pytorch`. {{< ilink "/docs/api_sdk/sdk/pytorch-adapter" "Read more" >}} - Auto-annotation API. Located at `cvat_sdk.auto_annotation`. {{< ilink "/docs/api_sdk/sdk/auto-annotation" "Read more" >}} - Miscellaneous utilities, grouped by topic. Located at `cvat_sdk.attributes` and `cvat_sdk.masks`. In general, the low-level API provides single-request operations, while the high-level one implements composite, multi-request operations, and provides local proxies for server objects. For most uses, the high-level API should be good enough, and it should be the right point to start your integration with CVAT. The PyTorch adapter is a specialized layer that represents datasets stored in CVAT as PyTorch `Dataset` objects. This enables direct use of such datasets in PyTorch-based machine learning pipelines. The auto-annotation API is a specialized layer that lets you automatically annotate CVAT datasets by running a custom function on the local machine. See also the `auto-annotate` command in the CLI. ## Installation To install an [official release of CVAT SDK](https://pypi.org/project/cvat-sdk/) use this command: ```bash pip install cvat-sdk ``` To use the `cvat_sdk.masks` module, request the `masks` extra: ```bash pip install "cvat-sdk[masks]" ``` To use the PyTorch adapter or the built-in PyTorch-based auto-annotation functions, request the `pytorch` extra: ```bash pip install "cvat-sdk[pytorch]" ``` We support Python versions 3.9 and higher. ## Usage To import package components, use the following code: For the high-level API: ```python import cvat_sdk # or import cvat_sdk.core ``` For the low-level API: ```python import cvat_sdk.api_client ``` For the PyTorch adapter: ```python import cvat_sdk.pytorch ```