OpenPose is a **library for real-time multi-person key-point detection and multi-threading written in C++** using OpenCV and Caffe*, authored by [Gines Hidalgo](https://www.linkedin.com/in/gineshidalgo/), [Zhe Cao](http://www.andrew.cmu.edu/user/zhecao), [Tomas Simon](http://www.cs.cmu.edu/~tsimon/), [Shih-En Wei](https://scholar.google.com/citations?user=sFQD3k4AAAAJ&hl=en), [Hanbyul Joo](http://www.cs.cmu.edu/~hanbyulj/) and [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/).
OpenPose is a **library for real-time multi-person keypoint detection and multi-threading written in C++** using OpenCV and Caffe*, authored by [Gines Hidalgo](https://www.linkedin.com/in/gineshidalgo/), [Zhe Cao](http://www.andrew.cmu.edu/user/zhecao), [Tomas Simon](http://www.cs.cmu.edu/~tsimon/), [Shih-En Wei](https://scholar.google.com/citations?user=sFQD3k4AAAAJ&hl=en), [Hanbyul Joo](http://www.cs.cmu.edu/~hanbyulj/) and [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/).
* It uses Caffe, but the code is ready to be ported to other frameworks (e.g. Tensorflow or Torch). If you implement any of those, please, make a pull request and we will add it!
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Library main functionality:
* Multi-person 15 or **18-key-point body pose** estimation and rendering.
* Multi-person 15 or **18-keypoint body pose** estimation and rendering.
* Multi-person **2x21-key-point hand** estimation and rendering (coming soon in around 1-2 months!).
* Multi-person **2x21-keypoint hand** estimation and rendering (coming soon in around 1-2 months!).
* Multi-person **70-key-point face** estimation and rendering (coming soon in around 2-3 months!).
* Multi-person **70-keypoint face** estimation and rendering (coming soon in around 2-3 months!).
* Flexible and easy-to-configure **multi-threading** module.
@@ -17,7 +17,7 @@ In order to use and/or slightly extend the OpenPose library, we try to explain t
2. The multi-threading module: `thread`.
3. The multi-person key-point detection module: `pose`.
3. The multi-person keypoint detection module: `pose`.
## Basic Module: `core`
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@@ -186,7 +186,7 @@ In order to be initialized, `PoseExtractorCaffe` has the following constructor a
2.`netOutputSize` is the resolution of the last layer of the deep net. I.e., the resulting heatmaps will have this size. Currently, it must be set to the same size as `netInputSize`.
3.`outputSize` is the final desired resolution to be used. The human pose key-point locations will be scaled to this output size. However, the heat-maps will have the `netOutputSize` size due to performance.
3.`outputSize` is the final desired resolution to be used. The human pose keypoint locations will be scaled to this output size. However, the heat-maps will have the `netOutputSize` size due to performance.
4.`scaleNumber` and `scaleGap` specify the multi-scale parameters. Explained in the [README.md](../README.md), in the demo section.
