Added training code repo info

README.md

@@ -30,6 +30,7 @@ It is **authored by [Gines Hidalgo](https://www.gineshidalgo.com), [Zhe Cao](htt
 - **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**.
+        - **6-keypoint foot keypoint estimation**. Integrated together with the 25-keypoint body/foot keypoint detector.
         - **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**:
@@ -42,23 +43,22 @@ It is **authored by [Gines Hidalgo](https://www.gineshidalgo.com), [Zhe Cao](htt
 - **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.
+- **Training and datasets**:
+    - [OpenPose Training](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train).
+    - [Foot dataset website](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset/).
 - **Others**:
     - Available: command-line demo, C++ wrapper, and C++ API.
     - [**Python API**](doc/modules/python_module.md).
     - [**Unity Plugin**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_unity_plugin).
     - CUDA (Nvidia GPU), OpenCL (AMD GPU), and CPU-only (no GPU) versions.
-    - Training code included in the [**original CVPR 2017 GitHub repository**](https://github.com/ZheC/Multi-Person-Pose-Estimation).
 
 
 
 ## Latest Features
+- Oct 2019: [**Training code released**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train)!
 - Jan 2019: [**Unity plugin released**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_unity_plugin)!
 - Jan 2019: [**Improved Python API**](doc/modules/python_module.md) released! Including body, face, hands, and all the functionality of the C++ API!
-- Dec 2018: [**Foot dataset**](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset) and [**new paper released**](https://arxiv.org/abs/1812.08008)!
-- 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: [**OpenCL/AMD graphic card version**](doc/installation.md) released!
-- Jun 2018: [**Calibration toolbox**](doc/modules/calibration_module.md) released!
+- Dec 2018: [**Foot dataset released**](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset) and [**new paper released**](https://arxiv.org/abs/1812.08008)!
 
 For further details, check [all released features](doc/released_features.md) and [release notes](doc/release_notes.md).
 
@@ -113,7 +113,7 @@ This analysis was performed using the same images for each algorithm and a batch
 5. [Quick Start](#quick-start)
 6. [Output](#output)
 7. [Speeding Up OpenPose and Benchmark](#speeding-up-openpose-and-benchmark)
-8. [Foot Dataset](#foot-dataset)
+8. [Training Code and Foot Dataset](#training-code-and-foot-dataset)
 9. [Send Us Failure Cases and Feedback!](#send-us-failure-cases-and-feedback)
 10. [Citation](#citation)
 11. [License](#license)
@@ -162,8 +162,10 @@ Check the OpenPose Benchmark as well as some hints to speed up and/or reduce the
 
 
 
-## Foot Dataset
-Check the [foot dataset website](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset/) and new [OpenPose paper](https://arxiv.org/abs/1812.08008) for more information.
+## Training Code and Foot Dataset
+For training OpenPose, check [github.com/CMU-Perceptual-Computing-Lab/openpose_train](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train).
+
+For the foot dataset, check the [foot dataset website](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset/) and new [OpenPose paper](https://arxiv.org/abs/1812.08008) for more information.
 
 
 

doc/installation.md

@@ -20,12 +20,13 @@ OpenPose - Installation
     6. [Mac OSX Version](#mac-osx-version)
     7. [3D Reconstruction Module](#3d-reconstruction-module)
     8. [Calibration Module](#calibration-module)
-    9. [Compiling without cuDNN](#compiling-without-cudnn)
-    10. [Custom Caffe](#custom-caffe)
-    11. [Custom NVIDIA NVCaffe](#custom-nvidia-nvcaffe)
-    12. [Custom OpenCV](#custom-opencv)
-    13. [Doxygen Documentation Autogeneration (Ubuntu Only)](#doxygen-documentation-autogeneration-ubuntu-only)
-    14. [CMake Command Line Configuration (Ubuntu Only)](#cmake-command-line-configuration-ubuntu-only)
+    9. [Unity Compatible Version](#unity-compatible-version)
+    10. [Compiling without cuDNN](#compiling-without-cudnn)
+    11. [Custom Caffe](#custom-caffe)
+    12. [Custom NVIDIA NVCaffe](#custom-nvidia-nvcaffe)
+    13. [Custom OpenCV](#custom-opencv)
+    14. [Doxygen Documentation Autogeneration (Ubuntu Only)](#doxygen-documentation-autogeneration-ubuntu-only)
+    15. [CMake Command Line Configuration (Ubuntu Only)](#cmake-command-line-configuration-ubuntu-only)
 
 
 
@@ -375,6 +376,13 @@ After installation, check the [doc/modules/calibration_module.md](./modules/cali
 
 
 
+#### Unity Compatible Version
+Check [**Unity Plugin**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_unity_plugin).
+
+However, the OpenPose Unity version will crash if if faces an error while it is not used inside Unity. Thus, do not use it without Unity. Although this version would work as long as no errors occur.
+
+
+
 #### Compiling without cuDNN
 The [cuDNN](https://developer.nvidia.com/cudnn) library is not mandatory, but required for full keypoint detection accuracy. In case your graphics card is not compatible with cuDNN, you can disable it by unchecking `USE_CUDNN` in CMake.
 

doc/released_features.md

 OpenPose Library - All Released Features
 ====================================
 
+- Oct 2019: [**Training code released**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train)!
 - Jan 2019: [**Unity plugin released**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_unity_plugin)!
 - Jan 2019: [**Improved Python API**](doc/modules/python_module.md) released! Including body, face, hands, and all the functionality of the C++ API!
-- Dec 2018: [**Foot dataset**](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset) and [**new paper released**](https://arxiv.org/abs/1812.08008)!
+- Dec 2018: [**Foot dataset released**](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset) and [**new paper released**](https://arxiv.org/abs/1812.08008)!
 - Sep 2018: [**Experimental tracker**](./quick_start.md#tracking)!
 - Jun 2018: [**Combined body-foot model released! 40% faster and 5% more accurate**](./installation.md)!
 - Jun 2018: [**Python API**](./modules/python_module.md) released!