1. Official tutorial to download and install libfreenect2

Official tutorial and source code: github address

Microsoft did not release a dedicated kinect SDK for linx, but a big guy wrote it and open sourced it on github. (The front row reminds that the virtual machine cannot use kinect, and the virtual port cannot accept the data of the depth camera.

Official tutorial readme handling

### Linux

Note: Ubuntu 12.04 is too old to support. Debian jessie may also be too old, and Debian stretch is implied in the following.

* Download libfreenect2 source
```
git clone https://github.com/OpenKinect/libfreenect2.git
cd libfreenect2
```
* (Ubuntu 14.04 only) Download upgrade deb files
```
cd depends; ./download_debs_trusty.sh
```
* Install build tools
```
sudo apt-get install build-essential cmake pkg-config
```
* Install libusb. The version must be >= 1.0.20.
1. (Ubuntu 14.04 only) `sudo dpkg -i debs/libusb*deb`
2. (Other) `sudo apt-get install libusb-1.0-0-dev`
* Install TurboJPEG
1. (Ubuntu 14.04 to 16.04) `sudo apt-get install libturbojpeg libjpeg-turbo8-dev`
2. (Debian/Ubuntu 17.10 and newer) `sudo apt-get install libturbojpeg0-dev`
* Install OpenGL
1. (Ubuntu 14.04 only) `sudo dpkg -i debs/libglfw3*deb; sudo apt-get install -f`
2. (Odroid XU4) OpenGL 3.1 is not supported on this platform. Use `cmake -DENABLE_OPENGL=OFF` later.
3. (Other) `sudo apt-get install libglfw3-dev`
* Install OpenCL (optional)
- Intel GPU
1. (Ubuntu 14.04 only) `sudo apt-add-repository ppa:floe/beignet; sudo apt-get update; sudo apt-get install beignet-dev; sudo dpkg -i debs/ocl-icd*deb`
2. (Other) `sudo apt-get install beignet-dev`
3. For older kernels, `# echo 0 >/sys/module/i915/parameters/enable_cmd_parser` is needed. See more known issues at https://www.freedesktop.org/wiki/Software/Beignet/.
- AMD GPU: Install the latest version of the AMD Catalyst drivers from https://support.amd.com and `apt-get install opencl-headers`.
- Mali GPU (e.g. Odroid XU4): (with root) `mkdir -p /etc/OpenCL/vendors; echo /usr/lib/arm-linux-gnueabihf/mali-egl/libmali.so >/etc/OpenCL/vendors/mali.icd; apt-get install opencl-headers`.
- Verify: You can install `clinfo` to verify if you have correctly set up the OpenCL stack.
* Install CUDA (optional, Nvidia only):
- (Ubuntu 14.04 only) Download `cuda-repo-ubuntu1404...*.deb` ("deb (network)") from Nvidia website, follow their installation instructions, including `apt-get install cuda` which installs Nvidia graphics driver.
- (Jetson TK1) It is preloaded.
- (Nvidia/Intel dual GPUs) After `apt-get install cuda`, use `sudo prime-select intel` to use Intel GPU for desktop.
- (Other) Follow Nvidia website's instructions. You must install the samples package.
* Install VAAPI (optional, Intel only)
1. (Ubuntu 14.04 only) `sudo dpkg -i debs/{libva,i965}*deb; sudo apt-get install -f`
2. (Other) `sudo apt-get install libva-dev libjpeg-dev`
3. Linux kernels 4.1 to 4.3 have performance regression. Use 4.0 and earlier or 4.4 and later (Though Ubuntu kernel 4.2.0-28.33~14.04.1 has backported the fix).
* Install OpenNI2 (optional)
1. (Ubuntu 14.04 only) `sudo apt-add-repository ppa:deb-rob/ros-trusty && sudo apt-get update` (You don't need this if you have ROS repos), then `sudo apt-get install libopenni2-dev`
2. (Other) `sudo apt-get install libopenni2-dev`
* Build (if you have run `cd depends` previously, `cd ..` back to the libfreenect2 root directory first.)
```
mkdir build && cd build
cmake .. -DCMAKE_INSTALL_PREFIX=$HOME/freenect2
make
make install
```
You need to specify `cmake -Dfreenect2_DIR=$HOME/freenect2/lib/cmake/freenect2` for CMake based third-party application to find libfreenect2.
* Set up udev rules for device access: `sudo cp ../platform/linux/udev/90-kinect2.rules /etc/udev/rules.d/`, then replug the Kinect.
* Run the test program: `./bin/Protonect`
* Run OpenNI2 test (optional): `sudo apt-get install openni2-utils && sudo make install-openni2 && NiViewer2`. Environment variable `LIBFREENECT2_PIPELINE` can be set to `cl`, `cuda`, etc to specify the pipeline.

Second, personal summary Download and install libfreenect2 (ubuntu 18.04)

1. Download the source code. If git fails, go to the source code address to download manually

git clone https://github.com/OpenKinect/libfreenect2.git
cd libfreenect2

mkdir build

cd build

touch build.sh #used to store installation dependency commands and compile commands

gedit build.sh #Edit build.sh

2. Add the following content in build.sh

#安装相关依赖
sudo apt-get install build-essential cmake pkg-config libturbojpeg libjpeg-turbo8-dev mesa-common-dev libxrandr-dev libxi-dev libglfw3-dev libusb-1.0-0-dev libturbojpeg0-dev libgl1-mesa-dev libglu1-mesa-dev freeglut3-dev libglew-dev libgl1-mesa-glx libxmu-dev opencl-headers

#cmake 编译
cmake 	-DCMAKE_INSTALL_PREFIX= $HOME/freenect2\
	-Dfreenect2_DIR=$HOME/freenect2/lib/cmake/freenect2\
	..
make
sudo make install

sudo cp ../platform/linux/udev/90-kinect2.rules /etc/udev/rules.d/

3. Execute build.sh, wait for a while, and the installation is complete

./build

4. For testing, I don’t know why the color channel of my camera is reversed, which is RGB. When using it, I need to convert cvtcolor to BGR.

./bin/Protonect

kinectv2 ubuntu environment configuration

1. Official tutorial to download and install libfreenect2

Second, personal summary Download and install libfreenect2 (ubuntu 18.04)

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