Download Azure Kinect Body Tracking SDK
This document provides links to install each version of the Azure Kinect Body Tracking SDK.
Azure Kinect Body Tracking SDK contents
- Headers and libraries to build a body tracking application using the Azure Kinect DK.
- Redistributable DLLs needed by body tracking applications using the Azure Kinect DK.
- Sample body tracking applications.
Windows download links
Linux installation instructions
Currently, the only supported distribution is Ubuntu 18.04 and 20.04. To request support for other distributions, see this page.
libk4abt<major>.<minor>-dev package contains the headers and CMake files to build against
libk4abt<major>.<minor> package contains the shared objects needed to run executables that depend on
libk4abt as well as the example viewer.
The basic tutorials require the
libk4abt<major>.<minor>-dev package. To install it, run
sudo apt install libk4abt<major>.<minor>-dev
If the command succeeds, the SDK is ready for use.
When installing the SDK, remember the path you install to. For example, "C:\Program Files\Azure Kinect Body Tracking SDK 1.0.0". You will find the samples referenced in articles in this path. Body tracking samples are located in the body-tracking-samples folder in the Azure-Kinect-Samples repository. You will find the samples referenced in articles here.
- [Feature] Added C# wrapper support for Linux Link
- [Bug Fix]
k4abt_simple_3d_viewer.exeworks with latest NVIDIA drivers Link
- [Feature] Added cmake support to all body tracking samples
- [Feature] NuGet package returns. Developed new NuGet package that includes Microsoft developed body tracking dlls and headers, and ONNX runtime dependencies. The package no longer includes the NVIDIA CUDA and TRT dependencies. These continue to be included in the MSI package.
- [Feature] Upgraded to ONNX Runtime v1.10. Recommended NVIDIA driver version is 472.12 (Game Ready) or 472.84 (Studio). There are OpenGL issues with later drivers.
- [Bug Fix] CMake missing from offline_processor sample Link
- [Bug Fix] CPU mode no longer requires NVIDIA CUDA dependencies Link
- [Bug Fix] Verified samples compile with Visual Studio 2022 and updated samples to use this release Link
- [Bug Fix] Added const qualifier to APIs Link
- [Bug Fix] Added check for nullptr handle in shutdown() Link
- [Bug Fix] Improved dependencies checks Link
- [Bug Fix] Updated REDIST.TXT file Link
- [Bug Fix] Improved DirectML performance Link
- [Bug Fix] Fixed exception declaration in frame::get_body() Link
- [Bug Fix] Fixed memory leak Link
- [Bug Fix] Updated dependencies list Link
- [Feature] Add support for DirectML (Windows only) and TensorRT execution of pose estimation model. See FAQ on new execution environments.
- [Feature] Add
k4abt_tracker_configuration_tstruct. Allows users to specify the pathname for pose estimation model. Defaults to
dnn_model_2_0_op11.onnxstandard pose estimation model located in the current directory.
- [Feature] Include
dnn_model_2_0_lite_op11.onnxlite pose estimation model. This model trades ~2x performance increase for ~5% accuracy decrease.
- [Feature] Verified samples compile with Visual Studio 2019 and updates samples to use this release.
- [Breaking Change] Update to ONNX Runtime 1.6 with support for CPU, CUDA 11.1, DirectML (Windows only), and TensorRT 7.2.1 execution environments. Requires NVIDIA driver update to R455 or better.
- [Breaking Change] No NuGet install.
- [Bug Fix] Add support for NVIDIA RTX 30xx series GPUs Link
- [Bug Fix] Add support for AMD and Intel integrated GPUs (Windows only) Link
- [Bug Fix] Update to CUDA 11.1 Link
- [Bug Fix] Update to Sensor SDK 1.4.1 Link
- [Bug Fix] Fix issue that the SDK crashes if loading onnxruntime.dll from path on Windows build 19025 or later: Link
- [Feature] Add C# wrapper to the msi installer.
- [Bug Fix] Fix issue that the head rotation cannot be detected correctly: Link
- [Bug Fix] Fix issue that the CPU usage goes up to 100% on Linux machine: Link
- [Samples] Add two samples to the sample repo. Sample 1 demonstrates how to transform body tracking results from the depth space to color space Link; sample 2 demonstrates how to detect floor plane Link