Intel realSense ubuntu 16.04+python 环境配置指南

1、Register the server‘s public key:

sudo apt-key adv --keyserver keys.gnupg.net --recv-key C8B3A55A6F3EFCDE || sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key C8B3A55A6F3EFCDE

(In case the public key still cannot be retrieved, check and specify proxy settings: export http_proxy="http://<proxy>:<port>"
, and rerun the command. See additional methods in the following link.)

2、Add the server to the list of repositories:
Ubuntu 16 LTS:
sudo add-apt-repository "deb http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo xenial main" -u
Ubuntu 18 LTS:
sudo add-apt-repository "deb http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo bionic main" -u

3、Install the libraries (see section below if upgrading packages):
sudo apt-get install librealsense2-dkms
sudo apt-get install librealsense2-utils
The above two lines will deploy librealsense2 udev rules, build and activate kernel modules, runtime library and executable demos and tools.

Reconnect the Intel RealSense depth camera and run: realsense-viewer to verify the installation.

Building From Source Ubuntu 14.04/16.04 LTS Ensure apt-get is up to date
1、sudo apt-get update && sudo apt-get upgrade
Note: Use sudo apt-get dist-upgrade, instead of sudo apt-get upgrade, in case you have an older Ubuntu 14.04 version
Install Python and its development files via apt-get (Python 2 and 3 both work)

2、sudo apt-get install python python-dev or sudo apt-get install python3 python3-dev
Note: The project will only use Python 2 if it can‘t use Python 3
Run the top level CMake command with the following additional flag -DBUILD_PYTHON_BINDINGS=bool:true:

3、mkdir build
  cd build
  cmake ../ -DBUILD_PYTHON_BINDINGS=bool:true
Note: To force compilation with a specific version on a system with both Python 2 and Python 3 installed, add the following flag to CMake command: -DPYTHON_EXECUTABLE=[full path to the exact python executable]
（cmake常用套路了）
 make -j4
 sudo make install
4、update your PYTHONPATH environment variable to add the path to the pyrealsense library
export PYTHONPATH=$PYTHONPATH:/usr/local/lib


Alternatively, copy the build output (librealsense2.so and pyrealsense2.so) next to your script.
Note: Python 3 module filenames may contain additional information, e.g. pyrealsense2.cpython-35m-arm-linux-gnueabihf.so)

# First import the library
import pyrealsense2 as rs

try:
    # Create a context object. This object owns the handles to all connected realsense devices
    pipeline = rs.pipeline()
    pipeline.start()

    while True:
        # Create a pipeline object. This object configures the streaming camera and owns it‘s handle
        frames = pipeline.wait_for_frames()
        depth = frames.get_depth_frame()
        if not depth: continue

        # Print a simple text-based representation of the image, by breaking it into 10x20 pixel regions and approximating the coverage of pixels within one meter
        coverage = [0]*64
        for y in xrange(480):
            for x in xrange(640):
                dist = depth.get_distance(x, y)
                if 0 < dist and dist < 1:
                    coverage[x/10] += 1

            if y%20 is 19:
                line = ""
                for c in coverage:
                    line += " .:nhBXWW"[c/25]
                coverage = [0]*64
                print(line)