See the installation doc for all the alternatives. Otherwise, you could build OpenPose from source. If you want to use OpenPose without installing or writing any code, simply download and use the latest Windows portable version of OpenPose! Cite them in your publications if OpenPose helps your research! (Links and more details in the Citation section below). OpenPose papers published in IEEE TPAMI and CVPR.E.g., adding your custom inputs, pre-processing, post-posprocessing, and output steps.įor further details, check the major released features and release notes docs. C++ API and Python API for custom functionality.Command-line demo for built-in functionality.Hardware compatibility: CUDA (Nvidia GPU), OpenCL (AMD GPU), and non-GPU (CPU-only) versions. ), keypoints as array class, and support to add your own custom output code (e.g., some fancy UI). Output: Basic image + keypoint display/saving (PNG, JPG, AVI. Input: Image, video, webcam, Flir/Point Grey, IP camera, and support to add your own custom input source (e.g., depth camera). Single-person tracking for further speedup or visual smoothing.Calibration toolbox: Estimation of distortion, intrinsic, and extrinsic camera parameters.Compatible with Flir/Point Grey cameras.Synchronization of Flir cameras handled.3D triangulation from multiple single views.3D real-time single-person keypoint detection:.See OpenPose Training for a runtime invariant alternative. Runtime depends on number of detected people.
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