darwin-project-python/Commands, Ubuntu - Realsense at main · ssaulrj/darwin-project-python · GitHub

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#-------------------------------------------------------------------------
#For supporting between Realsense and all programs on Ubuntu 20.04 -> Install
sudo apt update
sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.7

#We have to create an environment with python3.7 (Env are so useful because is encapsulated of system python version)
sudo apt install python3.7-venv
python3.7 -m venv envDarwin (or name you wish)
source envDarwin/bin/activate (Necessary each time we're gonna work)
deactivate (when done using the environment)

#-------------------------------------------------------------------------
#Install, follow github, with Ubuntu 20.04 and python 3.7

#Linux Ubuntu installation,
#https://github.com/IntelRealSense/librealsense/blob/master/doc/installation.md
sudo apt-get update && sudo apt-get upgrade && sudo apt-get dist-upgrade
#Download the complete source tree with git
git clone https://github.com/IntelRealSense/librealsense.git
#Navigate to librealsense root directory to run the following scripts
#Install the core packages required to build librealsense binaries and the affected kernel modules:
sudo apt-get install git libssl-dev libusb-1.0-0-dev pkg-config libgtk-3-dev
# Distribution-specific packages:
sudo apt-get install libglfw3-dev libgl1-mesa-dev libglu1-mesa-dev
#Run Intel Realsense permissions script from librealsense root directory:
cd librealsense
./scripts/setup_udev_rules.sh
#Build and apply patched kernel modules for: *Ubuntu 14/16/18 with LTS kernel
./scripts/patch-realsense-ubuntu-lts.sh
#In order to accomplish this, add the driver's name hid_sensor_custom to /etc/modules file, eg:
echo 'hid_sensor_custom' | sudo tee -a /etc/modules
#Navigate to librealsense root directory and run
mkdir build && cd build
#Run CMake: - The default build is set to produce the core shared object and unit-tests binaries
cmake ../
#Builds librealsense along with the demos and tutorials
cmake ../ -DBUILD_EXAMPLES=true
#Recompile and install librealsense binaries:
sudo make uninstall && make clean && make && sudo make install

#-------------------------------------------------------------------------
#Install, follow github, with Ubuntu 20.04 and python 3.7
#https://github.com/IntelRealSense/librealsense/blob/master/doc/distribution_linux.md

#Register the server's public key:
sudo apt-key adv --keyserver keys.gnupg.net --recv-key F6E65AC044F831AC80A06380C8B3A55A6F3EFCDE || sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key
#Add the server to the list of repositories:
sudo add-apt-repository "deb http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo bionic main" -u
#Install the libraries (see section below if upgrading packages):
sudo apt-get install librealsense2-dkms
sudo apt-get install librealsense2-utils
#Optionally install the developer and debug packages:
sudo apt-get install librealsense2-dev
sudo apt-get install librealsense2-dbg
#Reconnect the Intel RealSense depth camera and run (To verify the installation):
realsense-viewer

#Finally, install pyrealsense2 for cam
pip install pyrealsense2

#-------------------------------------------------------------------------
#Packets we need (Paty&Saul)
pip install opencv-python
pip install matplotlib
pip install numpy
pip install scipy
python -m pip install -U scikit-image

pip install -U scikit-learn

sudo apt-get install python3.7-tk (I needed this for matplotlib, screen not showed for ubuntu users)

#-------------------------------------------------------------------------