update readme: librealsense v1

README.md

@@ -1,6 +1,6 @@
 # MIT-Princeton Vision Toolbox for the APC 2016
 
-**Update:** we have released our code and paper for our new vision system [here](https://github.com/andyzeng/arc-robot-vision), which took 1st place in the stowing task at the Amazon Robotics Challenge 2017. Both repositories will continue to be maintained.
+**Update:** we have released our code and paper for our new vision system [here](https://github.com/andyzeng/arc-robot-vision), which took 1st place in the stowing task at the Amazon Robotics Challenge 2017.
 
 This repository contains toolbox code for our vision system that took 3rd and 4th place at the Amazon Picking Challenge 2016. Includes RGB-D Realsense sensor drivers (standalone and ROS package), deep learning ROS package for 2D object segmentation (training and testing), ROS package for 6D pose estimation. This is the reference implementation of models and code for our paper:
 
@@ -92,13 +92,13 @@ demo.m
 
 ## Realsense Standalone
 
-A standalone C++ executable for streaming and capturing data (RGB-D frames and 3D point clouds) in real-time using [librealsense](https://github.com/IntelRealSense/librealsense). Tested on Ubuntu 14.04 and 16.04 with an Intel® RealSense™ F200 Camera.
+A standalone C++ executable for streaming and capturing data (RGB-D frames and 3D point clouds) in real-time using [librealsense](https://github.com/IntelRealSense/librealsense/tree/03b288ca89207622c41f099e93123232586e8438). Tested on Ubuntu 14.04 and 16.04 with an Intel® RealSense™ F200 Camera.
 
 See `realsense_standalone`
 
 ### Dependencies
 
-1. [librealsense](https://github.com/IntelRealSense/librealsense) (installation instructions can be found [here](https://github.com/IntelRealSense/librealsense/blob/master/doc/installation.md))
+1. [librealsense v1](https://github.com/IntelRealSense/librealsense/tree/03b288ca89207622c41f099e93123232586e8438) (important: this code only works with librealsense **version 1** - installation instructions can be found [here](https://github.com/IntelRealSense/librealsense/blob/03b288ca89207622c41f099e93123232586e8438/doc/installation.md))
  * Install with the Video4Linux backend
 
 2. OpenCV (tested with OpenCV 3.1)
@@ -123,7 +123,7 @@ sudo ./scripts/resetUSBports.sh
 
 ## Realsense ROS Package
 
-A C++ ROS package for streaming and capturing data (RGB-D frames and 3D point clouds) in real-time using [librealsense](https://github.com/IntelRealSense/librealsense). Tested on Ubuntu 14.04 and 16.04 with an Intel® RealSense™ F200 Camera. 
+A C++ ROS package for streaming and capturing data (RGB-D frames and 3D point clouds) in real-time using [librealsense](https://github.com/IntelRealSense/librealsense/tree/03b288ca89207622c41f099e93123232586e8438). Tested on Ubuntu 14.04 and 16.04 with an Intel® RealSense™ F200 Camera. 
 
 This ROS packages comes in two different versions. Which version is installed will depend on your system's available software:
 
@@ -134,7 +134,7 @@ See `ros-packages/realsense_camera`
 
 ### Dependencies
 
-1. [librealsense](https://github.com/IntelRealSense/librealsense) (installation instructions can be found [here](https://github.com/IntelRealSense/librealsense/blob/master/doc/installation.md))
+1. [librealsense v1](https://github.com/IntelRealSense/librealsense/tree/03b288ca89207622c41f099e93123232586e8438) (important: this code only works with librealsense **version 1** - installation instructions can be found [here](https://github.com/IntelRealSense/librealsense/blob/03b288ca89207622c41f099e93123232586e8438/doc/installation.md))
  * Install with the Video4Linux backend
 
 2. [Optional] OpenCV (tested with OpenCV 2.4.11)