## Features - **Functionality**: - **2D real-time multi-person keypoint detection**: - 15 or 18 or **25-keypoint body/foot keypoint estimation**. **Running time invariant to number of detected people**. - **2x21-keypoint hand keypoint estimation**. Currently, **running time depends** on **number of detected people**. - **70-keypoint face keypoint estimation**. Currently, **running time depends** on **number of detected people**. - **3D real-time single-person keypoint detection**: - 3-D triangulation from multiple single views. - Synchronization of Flir cameras handled. - Compatible with Flir/Point Grey cameras, but provided C++ demos to add your custom input. - **Calibration toolbox**: - Easy estimation of distortion, intrinsic, and extrinsic camera parameters. - **Single-person tracking** for further speed up or visual smoothing. - **Input**: Image, video, webcam, Flir/Point Grey and IP camera. Included C++ demos to add your custom input. - **Output**: Basic image + keypoint display/saving (PNG, JPG, AVI, ...), keypoint saving (JSON, XML, YML, ...), and/or keypoints as array class. - **OS**: Ubuntu (14, 16), Windows (8, 10), Mac OSX, Nvidia TX2. - **Others**: - Available: command-line demo, C++ wrapper, and C++ API. - CUDA (Nvidia GPU), OpenCL (AMD GPU), and CPU versions. ## Latest Features - Sep 2018: [**Experimental single-person tracker**](doc/quick_start.md#tracking) for further speed up or visual smoothing! - Jun 2018: [**Combined body-foot model released! 40% faster and 5% more accurate**](doc/installation.md)! - Jun 2018: [**Python API**](doc/modules/python_module.md) released! - Jun 2018: [**OpenCL/AMD graphic card version**](doc/installation.md) released! - Jun 2018: [**Calibration toolbox**](doc/modules/calibration_module.md) released! - Jun 2018: [**Mac OSX version (CPU)**](doc/installation.md) released! - Mar 2018: [**CPU version**](doc/installation.md#cpu-version)! - Mar 2018: [**3-D keypoint reconstruction module**](doc/modules/3d_reconstruction_module.md) (from multiple camera views)! For further details, check [all released features](doc/released_features.md) and [release notes](doc/release_notes.md). ## Results ### Body-Foot Estimation
### Body, Face, and Hands Estimation
### 3-D Reconstruction Module
### Body and Hands Estimation
### Body Estimation
## Contents 1. [Features](#features) 2. [Latest Features](#latest-features) 3. [Results](#results) 4. [Installation, Reinstallation and Uninstallation](#installation-reinstallation-and-uninstallation) 5. [Quick Start](#quick-start) 6. [Output](#output) 7. [Speeding Up OpenPose and Benchmark](#speeding-up-openpose-and-benchmark) 8. [Send Us Failure Cases and Feedback!](#send-us-failure-cases-and-feedback) 9. [Authors and Contributors](#authors-and-contributors) 10. [Citation](#citation) 11. [License](#license) ## Installation, Reinstallation and Uninstallation **Windows portable version**: Simply download and use the latest version from the [Releases](https://github.com/CMU-Perceptual-Computing-Lab/openpose/releases) section. Otherwise, check [doc/installation.md](doc/installation.md) for instructions on how to build OpenPose from source. ## Quick Start Most users do not need the OpenPose C++/Python API, but can simply use the OpenPose Demo: - **OpenPose Demo**: To easily process images/video/webcam and display/save the results. See [doc/demo_overview.md](doc/demo_overview.md). E.g., run OpenPose in a video with: ``` # Ubuntu ./build/examples/openpose/openpose.bin --video examples/media/video.avi :: Windows - Portable Demo bin\OpenPoseDemo.exe --video examples\media\video.avi ``` - **Calibration toolbox**: To easily calibrate your cameras for 3-D OpenPose or any other stereo vision task. See [doc/modules/calibration_module.md](doc/modules/calibration_module.md). - **OpenPose C++ API**: If you want to read a specific input, and/or add your custom post-processing function, and/or implement your own display/saving, check the C++ API tutorial on [examples/tutorial_api_cpp/](examples/tutorial_api_cpp/) and [doc/library_introduction.md](doc/library_introduction.md). You can create your custom code on [examples/user_code/](examples/user_code/) and quickly compile it with CMake when compiling the whole OpenPose project. Quickly **add your custom code**: See [examples/user_code/README.md](examples/user_code/README.md) for further details. - **OpenPose Python API**: Analogously to the C++ API, find the tutorial for the Python API on [examples/tutorial_api_python/](examples/tutorial_api_python/). - **Adding an extra module**: Check [doc/library_add_new_module.md](./doc/library_add_new_module.md). - **Standalone face or hand detector**: - **Face** keypoint detection **without body** keypoint detection: If you want to speed it up (but also reduce amount of detected faces), check the OpenCV-face-detector approach in [doc/standalone_face_or_hand_keypoint_detector.md](doc/standalone_face_or_hand_keypoint_detector.md). - **Use your own face/hand detector**: You can use the hand and/or face keypoint detectors with your own face or hand detectors, rather than using the body detector. E.g., useful for camera views at which the hands are visible but not the body (OpenPose detector would fail). See [doc/standalone_face_or_hand_keypoint_detector.md](doc/standalone_face_or_hand_keypoint_detector.md). ## Output Output (format, keypoint index ordering, etc.) in [doc/output.md](doc/output.md). ## Speeding Up OpenPose and Benchmark Check the OpenPose Benchmark as well as some hints to speed up and/or reduce the memory requirements for OpenPose on [doc/speed_up_preserving_accuracy.md](doc/speed_up_preserving_accuracy.md). ## Send Us Failure Cases and Feedback! Our library is open source for research purposes, and we want to continuously improve it! So please, let us know if... 1. ... you find videos or images where OpenPose does not seems to work well. Feel free to send them to openposecmu@gmail.com (email only for failure cases!), we will use them to improve the quality of the algorithm! 2. ... you find any bug (in functionality or speed). 3. ... you added some functionality to some class or some new Worker