Guide to Typical Cluster Installation¶
This section is all about deploying FindFace Security in a cluster environment.
Tip
If after having read this section, you still have questions, do not hesitate to contact our experts by support@ntechlab.com.
The reasons for deploying FindFace Security in a cluster are the following:
Necessity to distribute the video processing high load.
Necessity to process video streams from a group of cameras in the place of their physical location.
Note
The most common use cases where such need comes to the fore are hotel chains, chain stores, several security checkpoints in the same building, etc.
Necessity to distribute the biometric sample extraction high load.
Large number of faces to search through, that requires implementation of a distributed face database.
Before you start the deployment, outline your system architecture, depending on its load and allotted resources (see System Requirements). The most common distributed scheme is as follows:
- One principal server with the following components:
findface-ntls
,findface-security
,findface-sf-api
,findface-video-manager
,findface-upload
,findface-video-worker
,findface-extraction-api
,findface-tarantool-server
, and third-parties. - Several additional video processing servers with installed
findface-video-worker
. - (If needed) Several additional biometric servers with installed
findface-extraction-api
. - (If needed) Additional database servers with multiple Tarantool shards.
This section describes the most common distributed deployment. In high load systems, it may also be necessary to distribute the API processing (findface-sf-api
and findface-video-manager
) across several additional servers. In this case, refer to Fully Customized Installation.
To deploy FindFace Security in a cluster environment, follow the steps below:
Deploy Principal Server¶
To deploy the principal server as part of a distributed architecture, do the following:
On the designated physical server, install FindFace Security from installer as follows:
- Product to install:
FindFace Security
. - Installation type:
Single server, multiple video workers
. In this case, FindFace Security will be installed and configured to interact with additional remotefindface-video-worker
instances. - Type of the
findface-video-worker
acceleration (on the principal server): CPU or GPU, subject to your hardware configuration. - Type of the
findface-extraction-api
acceleration (on the principal server): CPU or GPU, subject to your hardware configuration.
After the installation is complete, the following output will be shown on the console:
############################################################################# # Installation is complete # ############################################################################# - upload your license to http://172.20.77.17/#/license/ - user interface: http://172.20.77.17/ superuser: admin password: admin documentation: http://172.20.77.17/doc/
- Product to install:
Upload the FindFace Security license file via the main web interface
http://<Host_IP_address>/#/license
. To access the web interface, use the providedadmin
credentials.Note
The host IP address is shown in the links to FindFace web services in the following way: as an external IP address if the host belongs to a network, or
127.0.0.1
otherwise.Important
Do not disclose the superuser (Super Administrator) credentials to others. To administer the system, create a new user with the administrator privileges. Whatever the role, Super Administrator cannot be deprived of its rights.
Allow the licensable services to access the
findface-ntls
license server from any IP address, To do so, open the/etc/findface-ntls.cfg
configuration file and setlisten = 0.0.0.0:3133
.sudo vi /etc/findface-ntls.cfg # Listen address of NTLS server where services will connect to. # The format is IP:PORT # Use 0.0.0.0:PORT to listen on all interfaces # This parameter is mandatory and may occur multiple times # if you need to listen on several specific interfaces or ports. listen = 0.0.0.1:3133
Deploy Video Processing Servers¶
On an additional video processing server, install only a findface-video-worker
instance following the step-by-step instructions. Answer the installer questions as follows:
- Product to install: FindFace Video Worker.
- Type of the
findface-video-worker
acceleration: CPU or GPU, subject to your hardware configuration. - FindFace Security IP address: IP address of the principal server.
After that, the installation process will automatically begin. The answers will be saved to a file /tmp/<findface-installer-*>.json
. Use this file to install FindFace Video Worker
on other hosts without having to answer the questions again, by executing:
sudo ./findface-security-and-server-4.2.run -f /tmp/<findface-installer-*>.jsonNote
If
findface-ntls
and/orfindface-video-manager
are installed on a different host than that withfindface-security
, specify their IP addresses in thefindface-video-worker
configuration file after the installation.sudo vi /etc/findface-video-worker-cpu.ini sudo vi /etc/findface-video-worker-gpu.iniIn the
ntls-addr
parameter, specify thefindface-ntls
host IP address.ntls-addr=127.0.0.1:3133In the
mgr-static
parameter, specify thefindface-video-manager
host IP address, which providesfindface-video-worker
with settings and the video stream list.mgr-static=127.0.0.1:18811
Deploy Biometric Servers¶
On an additional biometric server, install only a findface-extraction-api
instance from the console installer. Answer the installer questions as follows:
Product to install:
FindFace Security
.Installation type:
Fully customized installation
.FindFace Security components to install:
findface-extraction-api
andfindface-data
. To make a selection, first deselect all the listed components by entering-*
in the command line, then selectfindface-extraction-api
andfindface-data
by entering their sequence number (keyword):1 7
. Enterdone
to save your selection and proceed to another step.Type of
findface-extraction-api
acceleration: CPU or GPU.Modification of the
findface-extraction-api
configuration file: specify the IP address of thefindface-ntls
server.Neural network models to install: CPU or GPU model for face biometrics (mandatory), and (optional) CPU/GPU models for gender, age, emotions, glasses, beard, and face mask recognition. To make a selection, first deselect all the listed models by entering
-*
in the command line, then select required models by entering their sequence number (keyword), for example,8 2
to select the GPU-models for biometric sample extraction and age recognition. Enterdone
to save your selection and proceed to another step. Be sure to choose the right acceleration type for each model, matching the acceleration type offindface-extraction-api
: CPU or GPU. Be aware thatfindface-extraction-api
on CPU can work only with CPU-models, whilefindface-extraction-api
on GPU supports both CPU- and GPU-models. See Face Features Recognition for details.The following models are available:
Face feature Acceleration Package face (biometry) CPU findface-data-ifruit-320-cpu_3.0.0_all.deb findface-data-ifruit-160-cpu_3.0.0_all.deb GPU findface-data-ifruit-320-gpu_3.0.0_all.deb findface-data-ifruit-160-gpu_3.0.0_all.deb age CPU findface-data-age.v1-cpu_3.0.0_all.deb GPU findface-data-age.v1-gpu_3.0.0_all.deb gender CPU findface-data-gender.v2-cpu_3.0.0_all.deb GPU findface-data-gender.v2-gpu_3.0.0_all.deb emotions CPU findface-data-emotions.v1-cpu_3.0.0_all.deb GPU findface-data-emotions.v1-gpu_3.0.0_all.deb glasses3 CPU findface-data-glasses3.v0-cpu_3.0.0_all.deb GPU findface-data-glasses3.v0-gpu_3.0.0_all.deb beard CPU findface-data-beard.v0-cpu_3.0.0_all.deb GPU findface-data-beard.v0-gpu_3.0.0_all.deb face mask CPU findface-data-medmask3.v0-cpu_3.0.0_all.deb GPU findface-data-medmask3.v0-gpu_3.0.0_all.deb
After that, the installation process will automatically begin. The answers will be saved to a file /tmp/<findface-installer-*>.json
. Use this file to install findface-extraction-api
on other hosts without having to answer the questions again.
sudo ./findface-security-and-server-4.2.run -f /tmp/<findface-installer-*>.json
After all the biometric servers are deployed, distribute load across them by using a load balancer.
Distribute Load across Biometric Servers¶
To distribute load across several biometric servers, you need to set up load balancing. The following step-by-step instructions demonstrate how to set up nginx
load balancing in a round-robin fashion for 3 findface-extraction-api
instances located on different physical hosts: one on the FindFace Security principal server (172.168.1.9
), and 2 on additional remote servers (172.168.1.10
, 172.168.1.11
). Should you have more biometric servers in your system, load-balance them by analogy.
Tip
You can use any load balancer according to your preference. Please refer to the relevant official documentation for guidance.
To set up load balancing, do the following:
Designate the FindFace Security principal server (recommended) or any other server with nginx as a gateway to all the biometric servers.
Important
You will have to specify the gateway server IP address when configuring the FindFace Security network.
Tip
You can install nginx as such:
sudo apt update sudo apt install nginx
On the gateway server, create a new nginx configuration file.
sudo vi /etc/nginx/sites-available/extapi
Insert the following entry into the newly created configuration file. In the
upstream
directive (upstream extapibackends
), substitute the exemplary IP addresses with the actual IP addresses of the biometric servers. In theserver
directive, specify the gateway server listening port aslisten
. You will have to enter this port when configuring the FindFace Security network.upstream extapibackends { server 172.168.1.9:18666; ## ``findface-extraction-api`` on principal server server 172.168.1.10:18666; ## 1st additional extraction server server 127.168.1.11:18666; ## 2nd additional extraction server } server { listen 18667; server_name extapi; client_max_body_size 64m; location / { proxy_pass http://extapibackends; proxy_next_upstream error; } access_log /var/log/nginx/extapi.access_log; error_log /var/log/nginx/extapi.error_log; }
Enable the load balancer in nginx.
sudo ln -s /etc/nginx/sites-available/extapi /etc/nginx/sites-enabled/
Restart nginx.
sudo service nginx restart
On the principal server and each additional biometric server, open the
/etc/findface-extraction-api.ini
configuration file. Substitute localhost in thelisten
parameter with the relevant server address that you have specified inupstream extapibackends
(/etc/nginx/sites-available/extapi
) before. In our example, the address of the 1st additional extraction server has to be substituted as such:sudo vi /etc/findface-extraction-api.ini listen: 172.168.1.10:18666
Restart the
findface-extraction-api
on the principal server and each additional biometric server.sudo systemctl restart findface-extraction-api.service
The load balancing is now successfully set up. Be sure to specify the actual gateway server IP address and listening port, when configuring the FindFace Security network.
Distribute Database¶
The findface-tarantool-server
component connects the Tarantool database and the findface-sf-api
component, transferring search results from the database to findface-sf-api
for further processing. To increase search speed, multiple findface-tarantool-server
shards can be created on each Tarantool host. Their running concurrently leads to a remarkable increase in performance.
Each shard can handle up to approximately 10,000,000 faces. When deploying findface-tarantool-server
from installer, shards are created automatically given the server hardware.
To distribute the face database, install only a findface-tarantool-server
instance on each additional database server. Answer the installer questions as follows:
- Product to install:
FindFace Security
. - Installation type:
Fully customized installation
. - FindFace Security components to install:
findface-tarantool-server
. To make a selection, first deselect all the listed components by entering-*
in the command line, then selectfindface-tarantool-server
by entering its sequence number (keyword):13
. Enterdone
to save your selection and proceed to another step.
After that, the installation process will automatically begin. The answers will be saved to a file /tmp/<findface-installer-*>.json
. Use this file to install findface-tarantool-server
on other hosts without having to answer the questions again.
sudo ./findface-security-and-server-4.2.run -f /tmp/<findface-installer-*>.json
As a result of the installation, findface-tarantool-server
shards will be automatically installed in the amount of N = max(min(mem_mb // 2000, cpu_cores), 1)
, i.e. equal to the RAM size in MB divided by 2000, or the number of CPU physical cores (but at least 1 shard).
Be sure to specify the shards IP addresses and ports, when configuring the FindFace Security network. To learn the port numbers, execute on each database server:
sudo cat /etc/tarantool/instances.enabled/*shard* | grep -E ".start|(listen =)"`
You will get the following result:
listen = '127.0.0.1:33001',
FindFace.start("127.0.0.1", 8101, {
listen = '127.0.0.1:33002',
FindFace.start("127.0.0.1", 8102, {
You can find the port number of a shard in the FindFace.start
section, for example, 8101
, 8102
, etc.
Configure Network¶
After all the FindFace Security components are deployed, configure their interaction over the network. Do the following:
Open the
/etc/findface-sf-api.ini
configuration file:sudo vi /etc/findface-sf-api.ini
Specify the following parameters:
Parameter Description extraction-api
->extraction-api
IP address and listening port of the gateway biometric server with set up load balancing. storage-api
->shards
->master
IP address and port of the findface-tarantool-server
master shard. Specify each shard by analogy.upload_url
WebDAV NginX path to send original images, thumbnails and normalized face images to the findface-upload
service.... extraction-api: extraction-api: http://172.168.1.9:18667 ... webdav: upload-url: http://127.0.0.1:3333/uploads/ ... storage-api: ... shards: - master: http://172.168.1.9:8101/v2/ slave: '' - master: http://172.168.1.9:8102/v2/ slave: '' - master: http://172.168.1.12:8101/v2/ slave: '' - master: http://172.168.1.12:8102/v2/ slave: '' - master: http://172.168.1.13:8102/v2/ slave: '' - master: http://172.168.1.13:8102/v2/ slave: ''
Open the
/etc/ffsecurity/config.py
configuration file.sudo vi /etc/ffsecurity/config.py
Specify the following parameters:
Parameter Description SERVICE_EXTERNAL_ADDRESS
FindFace Security IP address or URL prioritized for the Genetec integration and webhooks. Once this parameter not specified, the system uses EXTERNAL_ADDRESS
for these purposes. To use Genetec and webhooks, be sure to specify at least one of those parameters:SERVICE_EXTERNAL_ADDRESS
,EXTERNAL_ADDRESS
.EXTERNAL_ADDRESS
(Optional) IP address or URL that can be used to access the FindFace Security web interface. Once this parameter not specified, the system auto-detects it as the external IP address. To access FindFace Security, you can use both the auto-detected and specified IP addresses. VIDEO_DETECTOR_TOKEN
To authorize the video face detection module, come up with a token and specify it here. VIDEO_MANAGER_ADDRESS
IP address of the findface-video-manager
host.NTLS_HTTP_URL
IP address of the findface-ntls
host.ROUTER_URL
External IP address of the findface-security
host that will receive detected faces from thefindface-video-worker
instance(s).SF_API_ADDRESS
IP address of the findface-sf-api
host.EXTRACTION_API
IP address and listening port of the gateway biometric server with set up load balancing. sudo vi /etc/ffsecurity/config.py ... # SERVICE_EXTERNAL_ADDRESS prioritized for webhooks and genetec SERVICE_EXTERNAL_ADDRESS = 'http://localhost' EXTERNAL_ADDRESS = 'http://127.0.0.1' ... FFSECURITY = { 'VIDEO_DETECTOR_TOKEN': '7ce2679adfc4d74edcf508bea4d67208', ... 'EXTRACTION_API': 'http://172.168.1.9:18667/', 'VIDEO_MANAGER_ADDRESS': 'http://127.0.0.1:18810', ... 'NTLS_HTTP_URL': 'http://127.0.0.1:3185', 'ROUTER_URL': 'http://172.168.1.9', ... 'SF_API_ADDRESS': 'http://127.0.0.1:18411', ... }
The FindFace Security components interaction is now set up.