- Available: command-line demo, C++ wrapper, and C++ API.
-OS: Ubuntu, Windows, Nvidia TX2.
-**OS**: Ubuntu (14, 16), Windows (8, 10), Nvidia TX2.
...
...
@@ -78,7 +78,13 @@ See [doc/installation.md](doc/installation.md) for instructions on how to build
## Quick Start
Most users do not need the [OpenPose C++ API](#openpose-c-api), but they can simply use the basic [Demo](#demo) and/or [OpenPose Wrapper](#openpose-wrapper).
-**Demo**: To easily process images/video/webcam and display/save the results. See [doc/demo_overview.md](doc/demo_overview.md).
-**Demo**: To easily process images/video/webcam and display/save the results. See [doc/demo_overview.md](doc/demo_overview.md). E.g. run it in a video with:
-**OpenPose Wrapper**: 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 `Wrapper` tutorial on [examples/tutorial_wrapper/](examples/tutorial_wrapper/). You can create your custom code on [examples/user_code/](examples/user_code/) and quickly compile it by using `make all` in the OpenPose folder (assuming Makefile installer).
@@ -138,9 +138,11 @@ You just need to remove the OpenPose folder, by default called `openpose/`. E.g.
### Installation - Library
1. Install the pre-requisites:
1. Microsoft Visual Studio (VS) 2015 Enterprise Update 3. If Visual Studio 2017 Community is desired, we do not support it, but it might be compiled by firstly [enabling CUDA 8.0 in VS2017](https://stackoverflow.com/questions/43745099/using-cuda-with-visual-studio-2017?answertab=active#tab-top). VS Enterprise Update 1 will give some compiler errors and VS 2015 Community has not been tested.
2.[CUDA 8](https://developer.nvidia.com/cuda-80-ga2-download-archive): Install it on the default location, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`. Otherwise, modify the Visual Studio project solution accordingly. Install CUDA 8.0 after Visual Studio 2015 is installed to assure that the CUDA installation will generate all necessary files for VS. If CUDA was already installed, re-install it after installing VS!
3.[cuDNN 5.1](https://developer.nvidia.com/cudnn): Once you have downloaded it, just unzip it and copy (merge) the contents on the CUDA folder, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`.
1.**Microsoft Visual Studio (VS) 2015 Enterprise Update 3**.
- If **Visual Studio 2017 Community** is desired, we do not officially support it, but it might be compiled by firstly [enabling CUDA 8.0 in VS2017](https://stackoverflow.com/questions/43745099/using-cuda-with-visual-studio-2017?answertab=active#tab-top) or use **VS2017 with CUDA 9** by checking the `.vcxproj` file and changing the necessary paths from CUDA 8 to 9.
- VS 2015 Enterprise Update 1 will give some compiler errors and VS 2015 Community has not been tested.
2.[**CUDA 8**](https://developer.nvidia.com/cuda-80-ga2-download-archive): Install it on the default location, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`. Otherwise, modify the Visual Studio project solution accordingly. Install CUDA 8.0 after Visual Studio 2015 is installed to assure that the CUDA installation will generate all necessary files for VS. If CUDA was already installed, re-install it after installing VS!
3.[**cuDNN 5.1**](https://developer.nvidia.com/cudnn): Once you have downloaded it, just unzip it and copy (merge) the contents on the CUDA folder, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`.
2. Download the OpenPose dependencies and models (body, face and hand models) by double-clicking on `{openpose_path}\windows\download_3rdparty_and_models.bat`. Alternatively, you might prefer to download them manually:
- Models:
-[COCO model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel): download in `models/pose/coco/`.
Once the installation is completed, you can use OpenPose in your other project using the `find_package` cmake command. Below, is a small example `CMakeLists.txt`.
Once the installation is completed, you can use OpenPose in your other project using the `find_package` cmake command. Below, is a small example `CMakeLists.txt`. In order to use this script, you also need to copy `FindGFlags.cmake` and `FindGlog.cmake` into your `<project_root_directory>/cmake/Modules/` (create the directory if necessary).
@@ -16,5 +16,7 @@ There are 2 ways to add the OpenPose face keypoint detector to your own code wit
2. Elegant solution: If you wanna use the whole OpenPose framework, simply copy `include/wrapper/wrapper.hpp` as e.g. `examples/userCode/wrapperFace.hpp`, and change our `FaceDetector` or `FaceDetectorOpenCV` class by your custom face detector class inside your `WrapperFace` class. If you wanna omit the Pose keypoint detection for a big speed up if you do not need it, you can simply use the `body_disable` flag.
Note: both `FaceExtractor` and `HandExtractor` classes requires as input **squared rectangles**. In addition, the function **`initializationOnThread()` must be called only once, and inside the same thread where `forwardPass` is gonna be run**.
## Custom Standalone Hand Keypoint Detector
The analogous steps apply to the hand keypoint detector, but modifying `include/openpose/hand/handExtractor.hpp`.
