Updated instructions

Author: Gines

README.md

@@ -42,13 +42,12 @@ OpenPose is a **library for real-time multi-person keypoint detection and multi-
     2. [OpenPose Wrapper](#openpose-wrapper)
     3. [OpenPose Library](#openpose-library)
 8. [Output](#output)
-9. [Custom Caffe](#custom-caffe)
-10. [Standalone Face Or Hand Keypoint Detector](#standalone-face-or-hand-keypoint-detector)
-11. [Speed Up Openpose And Benchmark](#speed-up-openpose-and-benchmark)
-12. [Send Us Failure Cases!](#send-us-failure-cases)
-13. [Send Us Your Feedback!](#send-us-your-feedback)
-14. [Citation](#citation)
-15. [Other Contributors](#other-contributors)
+9. [Standalone Face Or Hand Keypoint Detector](#standalone-face-or-hand-keypoint-detector)
+10. [Speed Up Openpose And Benchmark](#speed-up-openpose-and-benchmark)
+11. [Send Us Failure Cases!](#send-us-failure-cases)
+12. [Send Us Your Feedback!](#send-us-your-feedback)
+13. [Citation](#citation)
+14. [Other Contributors](#other-contributors)
 
 
 ## Introduction
@@ -137,19 +136,6 @@ Check the output (format, keypoint index ordering, etc.) in [doc/output.md](doc/
 
 
 
-## Custom Caffe
-We only modified some Caffe compilation flags and minor details. You can use your own Caffe distribution, these are the files we added and modified:
-
-1. Added files: `install_caffe.sh`; as well as `Makefile.config.Ubuntu14.example`, `Makefile.config.Ubuntu16.example`, `Makefile.config.Ubuntu14_cuda_7.example` and `Makefile.config.Ubuntu16_cuda_7.example` (extracted from `Makefile.config.example`). Basically, you must enable cuDNN.
-2. Edited file: Makefile. Search for "# OpenPose: " to find the edited code. We basically added the C++11 flag to avoid issues in some old computers.
-3. Optional - deleted Caffe file: `Makefile.config.example`.
-4. In order to link it to OpenPose:
-    1. Run `make all && make distribute` in your Caffe version.
-    2. Open the OpenPose Makefile config file: `./Makefile.config.UbuntuX.example` (where X depends on your OS and CUDA version).
-    3. Modify the Caffe folder directory variable (`CAFFE_DIR`) to your custom Caffe `distribute` folder location in the previous OpenPose Makefile config file.
-
-
-
 ## Standalone Face Or Hand Keypoint Detector
 In case of hand camera views at which the hands are visible but not the rest of the body, or if you do not need the body keypoint detector and want to considerably speed up the process, you can use the OpenPose face or hand keypoint detectors with your own face or hand detectors, rather than using the body keypoint detector as initial detector for those. More information in [doc/standalone_face_or_hand_keypoint_detector.md#faq](doc/standalone_face_or_hand_keypoint_detector.md#faq).
 

doc/installation.md

@@ -3,15 +3,21 @@ OpenPose - Installation and FAQ
 
 ## Contents
 1. [Requirements](#requirements)
-2. [Ubuntu](#ubuntu)
-3. [Windows](#windows)
-4. [OpenPose 3D Demo](#openpose-3d-demo)
-5. [FAQ](#faq)
+2. [Clone and Update the Repository](#clone-and-update-the-repository)
+3. [Ubuntu](#ubuntu)
+4. [Windows](#windows)
+5. [OpenPose 3D Demo](#openpose-3d-demo)
+6. [Custom Caffe](#custom-caffe)
+7. [FAQ](#faq)
 
 
 
 ## Requirements
-- Ubuntu (tested on 14 and 16) or Windows (tested on 10). We do not support any other OS but the community has been able to install it on: CentOS, Windows 7, and Windows 8.
+- Operating systems:
+    - Ubuntu (tested on 14 and 16).
+    - Windows (tested on 10).
+    - Nvidia Jetson TX2, installation instructions in [doc/installation_jetson_tx2](./installation_jetson_tx2).
+    - We do not officially support any other OS, but the community has been able to install it on: CentOS, Nvidia Jetson, Windows 7, and Windows 8.
 - NVIDIA graphics card with at least 1.6 GB available (the `nvidia-smi` command checks the available GPU memory in Ubuntu).
 - At least 2 GB of free RAM memory.
 - Highly recommended: A CPU with at least 8 cores.
@@ -22,6 +28,16 @@ Note: These requirements assume the default configuration (i.e. `--net_resolutio
 
 
 
+## Clone and Update the Repository
+The first step is to clone the OpenPose repository. It might be done with [GitHub Desktop](https://desktop.github.com/) in Windows and from the terminal in Ubuntu:
+```bash
+git clone https://github.com/CMU-Perceptual-Computing-Lab/openpose
+```
+
+OpenPose can be easily updated by clicking the `synchronization` button at the top-right part in GitHub Desktop in Windows, or by running `git pull origin master` in Ubuntu. After OpenPose has been updated, just run the `Reinstallation` section described below for your specific Operating System.
+
+
+
 ## Ubuntu
 ### Installation - Script Compilation
 **Highly important**: This script only works with CUDA 8 and Ubuntu 14 or 16. Otherwise, check [Manual Compilation](#manual-compilation).
@@ -32,7 +48,7 @@ Note: These requirements assume the default configuration (i.e. `--net_resolutio
     4. In addition, OpenCV 3 does not incorporate the `opencv_contrib` module by default. Assuming you have OpenCV 3 compiled with the contrib module and you want to use it, append `opencv_contrib` at the end of the line `LIBRARIES += opencv_core opencv_highgui opencv_imgproc` in the `Makefile` file.
     5. Atlas can be installed with `sudo apt-get install libatlas-base-dev`. Instead of Atlas, you can use OpenBLAS or Intel MKL by modifying the line `BLAS := atlas` in the same way as previosuly mentioned for the OpenCV version selection.
 2. Build Caffe & the OpenPose library + download the required Caffe models for Ubuntu 14.04 or 16.04 (auto-detected for the script) and CUDA 8:
-```
+```bash
 bash ./ubuntu/install_caffe_and_openpose_if_cuda8.sh
 ```
 
@@ -64,7 +80,7 @@ Alternatively to the script installation, if you want to use CUDA 7, avoid using
     make all -j${number_of_cpus}
     ```
 
-    NOTE: If you want to use your own Caffe distribution, follow the steps on `Custom Caffe` section and later re-compile the OpenPose library:
+    NOTE: If you want to use your own Caffe distribution, follow the steps on [Custom Caffe](#custom-caffe) section and later re-compile the OpenPose library:
     ```
     bash ./install_openpose_if_cuda8.sh
     ```
@@ -83,7 +99,7 @@ If you updated some software that our library or 3rdparty use, or you simply wan
 ```
 make clean && cd 3rdparty/caffe && make clean
 ```
-2. Repeat the [Installation](#installation) steps.
+2. Repeat the [Installation](#installation) steps. You do not need to download the models again.
 
 
 
@@ -136,6 +152,14 @@ You just need to remove the OpenPose or portable demo folder.
 
 
 
+### Reinstallation
+If you updated some software that our library or 3rdparty use, or you simply want to reinstall it:
+1. Open the Visual Studio project sln file by double-cliking on `{openpose_path}\windows\OpenPose.sln`.
+2. Clean the OpenPose project by right-click on `Solution 'OpenPose'` and `Clean Solution`.
+3. Compile it and run it with F5 or the green play icon.
+
+
+
 
 
 ## Compiling without cuDNN
@@ -154,6 +178,19 @@ If you want to try our OpenPose 3-D reconstruction demo, see [doc/openpose_3d_re
 
 
 
+## Custom Caffe
+We only modified some Caffe compilation flags and minor details. You can use your own Caffe distribution, these are the files we added and modified:
+
+1. Added files: `install_caffe.sh`; as well as `Makefile.config.Ubuntu14.example`, `Makefile.config.Ubuntu16.example`, `Makefile.config.Ubuntu14_cuda_7.example` and `Makefile.config.Ubuntu16_cuda_7.example` (extracted from `Makefile.config.example`). Basically, you must enable cuDNN.
+2. Edited file: Makefile. Search for "# OpenPose: " to find the edited code. We basically added the C++11 flag to avoid issues in some old computers.
+3. Optional - deleted Caffe file: `Makefile.config.example`.
+4. In order to link it to OpenPose:
+    1. Run `make all && make distribute` in your Caffe version.
+    2. Open the OpenPose Makefile config file: `./Makefile.config.UbuntuX.example` (where X depends on your OS and CUDA version).
+    3. Modify the Caffe folder directory variable (`CAFFE_DIR`) to your custom Caffe `distribute` folder location in the previous OpenPose Makefile config file.
+
+
+
 
 
 ## FAQ

doc/installation_jetson_tx2.md

@@ -1,5 +1,7 @@
-OpenPose Library - Compilation and  Installation on Nvidia Jetson TX2
+OpenPose - Installation on Nvidia Jetson TX2
 ====================================
+Note that OpenPose for Nvidia Jetson TX2 was developed and it is maintained by the community. The OpenPose authors will not be able to provide official support for it.
+
 
 ## Contents
 1. [Requirements](#requirements)
@@ -10,7 +12,7 @@ OpenPose Library - Compilation and  Installation on Nvidia Jetson TX2
 ## Requirements
 Jetson TX2 just flashed with [JetPack 3.1](https://developer.nvidia.com/embedded/jetpack)
 
-Notes : 
+Notes:
 
 - Installation is similar to Jetson TX1 and you can follow this [video tutorial](https://www.youtube.com/watch?v=RJkOGMC8IrY).
 - If you are installing from a virtual machine host, installation may need to be done in two steps, please refer to [this solution](https://devtalk.nvidia.com/default/topic/1002081/jetson-tx2/jetpack-3-0-install-with-a-vm/).
@@ -23,6 +25,7 @@ Use the following script for installation of both caffe and OpenPose:
 ./ubuntu/install_caffe_and_openpose_JetsonTX2_JetPack3.1.sh
 ```
 
+
 ## Usage
 It is for now recommended to use an external camera with the demo. To get to decent FPS you need to lower the net resolution:
 ```