Easy start
One single installer for all relevant dependencies. One license file for all applications to ensure convenient deployment.
Cross-platform
C, C++, C# and Python interfaces for both Windows and Linux applications are included.
Less than 30 minutes
Use our quick installation guide to get you up and running with the skeletal tracking in less than 30 minutes.
See it in action
See it in action
— Ready for C, C++, C# or Python
— Sample application code included
— Real-time on embedded and cost friendly hardware
— No dedicated GPU needed to run deep learning model behind
— Convenient deployment with the same license code for all your devices
— Automatic license activation for your users and your headless devices
18 points of tracking.
Our Skeletal Tracking SDK allows tracking of 18 joints simultaneously. Thanks to our AI algorithms this tracking is available for up to 5 people in a scene.
Tracking ON
Off
Right eye
Right eye
Left eye
Left eye
Left ear
Left ear
Right ear
Right ear
Nose
Right shoulder
Right shoulder
Left shoulder
Left shoulder
Left elbow
Left elbow
Right elbow
Right elbow
Right wrist
Right wrist
Left wrist
Left wrist
Left hip
Left hip
Right hip
Right hip
Right knee
Right knee
Left knee
Left knee
Left ankle
Left ankle
Right ankle
Right ankle
Spine
Spine
Less than 10 lines of code to start. That's it.
The Skeleton Tracking SDK provides for both Windows and Linux a C, C++, C# and Python API. Using the C‑API it is also possible to develop your own custom wrapper. Our APIs offer Skeleton Tracking implementation with less than 10 lines of code.
// Read an RGB image of any size
System.Drawing.Bitmap image = new System.Drawing.Bitmap(Common.DefaultResDir() + "\\images\\skeleton_estimation.jpg");
// Decalre results container
System.Collections.Generic.List<Cubemos.SkeletonTracking.Api.SkeletonKeypoints> skeletonKeypoints;
// Create cubemos API handle for Intel® Inference Plugin and specify the folder with the license key
var skeletontrackingApi = new Cubemos.SkeletonTracking.Api(Common.DefaultLicenseDir());
// Load the CPU model
skeletontrackingApi.LoadModel(Cubemos.TargetComputeDevice.CM_CPU,
Common.DefaultModelDir() + "\\fp32\\skeleton-tracking.cubemos");
// Send inference request and get the poses
skeletontrackingApi.RunSkeletonTracking(ref image, 128, out skeletonKeypoints);// Read an RGB image of any size
System.Drawing.Bitmap image = new System.Drawing.Bitmap(Common.DefaultResDir() + "\\images\\skeleton_estimation.jpg");
// Decalre results container
System.Collections.Generic.List<Cubemos.SkeletonTracking.Api.SkeletonKeypoints> skeletonKeypoints;
// Create cubemos API handle for Intel® Inference Plugin and specify the folder with the license key
var skeletontrackingApi = new Cubemos.SkeletonTracking.Api(Common.DefaultLicenseDir());
// Load the CPU model
skeletontrackingApi.LoadModel(Cubemos.TargetComputeDevice.CM_CPU,
Common.DefaultModelDir() + "\\fp32\\skeleton-tracking.cubemos");
// Send inference request and get the poses
skeletontrackingApi.RunSkeletonTracking(ref image, 128, out skeletonKeypoints);#Read an RGB image of any size
img = cv2.imread(args.image)
#initialize the api with a valid license key in default_license_dir()
api = Api(default_license_dir())
model_path = os.path.join(
sdk_path, "models", "skeleton-tracking", "fp32", "skeleton-tracking.cubemos"
)
api.load_model(CM_TargetComputeDevice.CM_CPU, model_path)
#perform inference
skeletons = api.estimate_keypoints(img, 192)Pricing
- 2D/3D Skeletal Tracking
- Full Functionality
- Linking to sensor
- Duration
- C / C++ / C# support
- Python support
- Custom wrappers
- Custom features
- Support
- Dedicated manager
Trial
- 2D/3D Skeletal Tracking +
- Full Functionality +
- Linking to sensor +
- Duration 30 Days
- C / C++ / C# support +
- Python support +
- Custom wrappers -
- Custom features -
- Support -
- Dedicated manager -
Full
- 2D/3D Skeletal Tracking +
- Full Functionality +
- Linking to sensor +
- Duration Perpetual
- C / C++ / C# support +
- Python support +
- Custom wrappers -
- Custom features -
- Support +
- Dedicated manager -
Enterprise
- 2D/3D Skeletal Tracking +
- Full Functionality +
- Linking to sensor + / Options
- Duration Perpetual / Options
- C / C++ / C# support +
- Python support +
- Custom wrappers +
- Custom features +
- Support +
- Dedicated manager +
Frequently Asked Questions
The SDK supports Windows and Linux. For both a C/C++ and Python wrapper is included. For Windows a C# integration is provided.
Yes, we offer the most performant Skeleton Tracking for applications running on Intel® based devices. This enables real-time applications even on edge devices.
Working sample applications and source code are included for C# and C++.
Yes. The pose estimation works in 2D and 3D. 3D pose estimation requires 3D camera hardware.
Technically unlimited. However, for applications with more than 5 people, we suggest avoiding skeletons occluding each other.
The underlying AI model is optimized to provide the best performance on Intel® CPUs and VPUs. This means the SDK is suitable for real-time applications even on edge devices.
No, you buy lifetime licenses. One license for each device you run the Skeleton Tracking SDK on.
You will always get one license key. The number of licenses in the basket allows you to activate this amount of devices running the Skeleton Tracking SDK.
This enables convenient automated deployment processes for applications running on numerous edge devices.
Support
Direct support for users of the Skeleton Tracking SDK is provided by our partner cubemos*. If you have a question or run into any issues, please reach out.
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