Before launch#
Make sure that you are the root user before launch!
Before launching the LUNA PLATFORM, you must perform the following actions:
- Unpack the LUNA PLATFORM distribution
- Create symbolic link
- Configure SELinux and Firewall
- Perform license activation steps
- Install Docker
- Install Docker Compose
- Choose logging method
- Set up GPU computing if you plan to use GPU
- Login to VisionLabs registry
Distribution unpacking#
The distribution package is an archive luna_v.5.38.3, where v.5.38.3 is a numerical identifier, describing the current LUNA PLATFORM version.
The archive includes configuration files, required for installation and exploitation. It does not include Docker images for the services. They should be downloaded from the Internet.
Move the distribution package to the directory on your server before the installation. For example, move the files to /root/ directory. The directory should not contain any other distribution or license files except the target ones.
Create directory for distribution file unpacking
mkdir -p /var/lib/luna
Move the distribution to the created directory
mv /root/luna_v.5.38.3.zip /var/lib/luna
Install the unzip archiver if it is necessary
yum install -y unzip
Go to the folder with distribution
cd /var/lib/luna
Unzip files
unzip luna_v.5.38.3.zip
Symbolic link creation#
Create a symbolic link. The link indicates that the current version of the distribution file is used to run LUNA PLATFORM.
ln -s luna_v.5.38.3 current
SELinux and Firewall#
You must configure SELinux and Firewall so that they do not block LUNA PLATFORM services.
SELinux and Firewall configurations are not described in this guide.
If SELinux and Firewall are not configured, the installation cannot be performed
License key activation#
The HASP service is used for LUNA PLATFORM licensing. Without a license, you will be unable to run and use LUNA services.
A HASP key is required to work with LUNA PLATFORM. It uses the haspvlib_x86_64_30147.so vendor library, which located in the in the "/var/hasplm/" directory.
License key is provided by VisionLabs separately upon request.
A network license is required to use LUNA PLATFORM in Docker containers.
The license key is created using the fingerprint. The fingerprint is created based on the information about hardware characteristics of the server. Therefore, the received license key will only work on the same server where the fingerprint was obtained.
There is a possibility that a new license key will be required when you perform any changes on the license server.
LP license includes the following features:
- License expiration date.
- Maximum number of faces with linked descriptors or basic attributes.
- Liveness availability.
- Liveness current balance.
- Image check according to ISO/IEC 19794-5 standard availability.
- Body parameters estimation availability.
- Possibility of using the Index Matcher service in the LUNA Index Module.
- Maximum number of streams created by the LUNA Streams service.
When ordering the license, you need to inform technical support about the need to use any of the above features.
Follow these steps to set up the license:
- Install HASP utility on your server. HASP utility is usually installed on a separate server;
- Start the HASP utility;
- Create the fingerprint of your server and send it to VisionLabs;
- Activate your key, received from VisionLabs;
- Specify your HASP server IP-address in the "platform_setting.json" file.
The Sentinel Keys tab of the user interface (
<server_host_address>:1947
) shows activated keys.
Install HASP utility#
LP uses HASP utility of a certain version.
If an older version of HASP utility is installed, it is required to delete it before installation of a new version. See Delete old LP hasp utility.
Go to the HASP directory.
cd /var/lib/luna/current/extras/hasp/
Install HASP utility on you server.
yum -y install /var/lib/luna/current/extras/hasp/aksusbd-*.rpm
Launch HASP utility.
systemctl daemon-reload
systemctl start aksusbd
systemctl enable aksusbd
systemctl status aksusbd
Configure HASP utility#
You can configure the HASP utility using the "/etc/hasplm/hasplm.ini" file.
Note! You do not need to perform this action if you already have the configured INI file for the HASP utility.
Delete the old file if necessary.
rm -rf /etc/hasplm/hasplm.ini
Copy the INI file with configurations. Its parameters are not described in this document.
cp /var/lib/luna/current/extras/hasp/hasplm.ini /etc/hasplm/
Add vendor library#
Copy LP vendor library (x32 and x64). This library is required for using LP license key.
cp /var/lib/luna/current/extras/hasp/haspvlib_30147.so /var/hasplm/
cp /var/lib/luna/current/extras/hasp/haspvlib_x86_64_30147.so /var/hasplm/
Restart the utility
systemctl restart aksusbd
Create fingerprint#
Go to the HASP directory.
cd /var/lib/luna/current/extras/hasp/licenseassist
Run the script
./LicenseAssist fingerprint > fingerprint_30147.c2v
The fingerprint is saved to file "fingerprint_30147.c2v".
Send the file to VisionLabs. You license key will be created using this fingerprint.
You can also save the system fingerprint from the user interface at
<host_address>:1947
by clicking the "Fingerprint" button on the "Sentinel Keys" tab.
Add license file manually using user interface#
-
Go to:
<host_address>:1947
(if access is denied check your Firewall/ SELinux settings (the procedure is not described in this document); -
Select the Update/Attach at the left pane;
-
Press the "Select File..." button and select a license file(s) in the appeared window;
-
Press the "Apply File" button.
Specify license server address#
The license server address is set in the dump file "platform_settings.json" (see below). The contents of the default settings will be overwritten by the contents of this file when the Configurator service starts.
Open the "platform_settings.json" file:
vi /var/lib/luna/current/extras/conf/platform_settings.json
Set the server IP address with your HASP key in the "server_address" field:
{
"value": {
"vendor": "hasp",
"server_address": "127.0.0.1"
},
"description":"License vendor config",
"name":"LICENSE_VENDOR",
"tags":[]
},
Save the file.
Delete LP old hasp utility#
Note. Delete the HASP utility only if you need to install a newer version. Otherwise, skip this step.
Stop and disable the utility.
systemctl stop aksusbd
systemctl disable aksusbd
systemctl daemon-reload
yum -y remove aksusbd haspd
Docker installation#
The Docker installation is described in the official documentation:
https://docs.docker.com/engine/install/centos/.
You do not need to install Docker if you already have an installed Docker 20.10.8 on your server. Not guaranteed to work with higher versions of Docker.
Quick installation commands are listed below.
Check the official documentation for updates if you have any problems with the installation.
Install dependencies.
yum install -y yum-utils device-mapper-persistent-data lvm2
Add repository.
yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
Install Docker.
yum -y install docker-ce docker-ce-cli containerd.io
Launch Docker.
systemctl start docker
systemctl enable docker
Check Docker status.
systemctl status docker
Docker Compose installation#
Install Docker Compose.
curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
ln -s /usr/local/bin/docker-compose /usr/bin/docker-compose
Choose logging method#
There are two methods to output logs in LUNA PLATFORM:
- standard log output (stdout);
- log output to a file.
Log output settings are set in the settings of each service in the <SERVICE_NAME>_LOGGER
section.
If necessary, you can use both methods of displaying logs.
For more information about the LUNA PLATFORM logging system, see the "Logging" section in the administrator manual.
Logging to stdout#
This method is used by default and requires no further action.
It is recommended to configure Docker log rotation to limit log sizes (see "Docker log rotation").
Logging to file#
Note. When you enable saving logs to a file, you should remember that logs occupy a certain place in the storage, and the process of logging to a file negatively affects system performance.
To use this method, you need to perform the following additional actions:
- before launching the services: create directories for logs on the server;
- after launching the services: activate log recording and set the location of log storage inside LP service containers;
- during the launch of services: configure synchronization of log directories in the container with logs on the server using the
volume
argument at the start of each container.
Synchronization of log directories is already configured in the Docker Compose script, you only need to create directories and activate logging.
See the instructions for enabling logging to files in the "Logging to server" section.
Calculations using GPU#
You can use GPU for the general calculations performed by Handlers.
Skip this section if you are not going to utilize GPU for your calculations.
Docker Compose v1.28.0+ is required to use the GPU.
You need to install NVIDIA Container Toolkit to use GPU with Docker containers. The example of the installation is given below.
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.repo | tee /etc/yum.repos.d/nvidia-docker.repo
Install the nvidia-docker2 package (and dependencies) after updating the package listing:
yum clean expire-cache
yum install -y nvidia-docker2
systemctl restart docker
Check the NVIDIA Container toolkit operating by running a base CUDA container (this container is not provided in the LP distribution and should be downloaded from the Internet):
docker run --rm --gpus all nvidia/cuda:11.4-base nvidia-smi
Next, you should additionally add a deploy
section to the handlers
field in the docker-compose.yml
file.
vi /var/lib/luna/current/example-docker/docker-compose.yml
handlers:
image: $/luna-handlers:$
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
restart: always
network_mode: host
environment:
WORKER_COUNT: 1
RELOAD_CONFIG: 1
CONFIGURATOR_HOST: 127.0.0.1
volumes:
- /etc/localtime:/etc/localtime:ro
- /tmp/logs/handlers:/srv/logs
healthcheck:
test: [ "CMD", "curl", "--fail", "127.0.0.1:5090/version" ]
start_period: 10s
interval: 5s
timeout: 10s
retries: 10
driver
- this field specifies the driver for the reserved device(s);
count
- this field specifies the number of GPU devices that should be reserved (providing the host holds that number of GPUs);
capabilities
- this field expresses both generic and driver specific capabilities. It must be set, otherwise, an error will be returned when deploying the service.
See the documentation for additional information:
https://docs.docker.com/compose/gpu-support/#enabling-gpu-access-to-service-containers.
Attributes extraction on the GPU is engineered for maximum throughput. The input images are processed in batches. This reduces computation cost per image but does not provide the shortest latency per image.
GPU acceleration is designed for high load applications where request counts per second consistently reach thousands. It won’t be beneficial to use GPU acceleration in non-extensively loaded scenarios where latency matters.
Login to registry#
When launching containers, you should specify a link to the image required for the container launching. This image will be downloaded from the VisionLabs registry. Before that, you should login to the registry.
Login and password can be requested from the VisionLabs representative.
Enter login
docker login dockerhub.visionlabs.ru --username <username>
After running the command, you will be prompted for a password. Enter password.
In the
docker login
command, you can enter the login and password at the same time, but this does not guarantee security because the password can be seen in the command history.