Deploy Step-by-Step from Repository

This section will guide you through the FindFace Security step-by-step deployment process. Follow the instructions below minding the sequence.

In this section:

Install APT Repository

First of all, install the FindFace apt repository as follows:

  1. Download the installer file findface-security-and-server-4.2.run.

  2. Put the .run file into some directory on the designated host (for example, /home/username).

  3. From this directory, make the .run file executable.

    chmod +x findface-security-and-server-4.2.run

  4. Execute the .run file.

    sudo ./findface-security-and-server-4.2.run

    The installer will ask you a few questions and perform several automated checks to ensure that the host meets the system requirements. Fill out the prompts appropriately once requested. The questions are the following:

    1. Product to install: FindFace Security.

    2. Installation type: repo: Don't install anything, just set up the APT repository.

    3. Neural network models to install if necessary. To select a model(s), deselect all those on the list by entering -* in the command line first, then select the required model by entering its sequence number (keyword): for example, 1 3. Enter done to save your selection and proceed to another step.

      Important

      At least one model for face biometry has to be installed.

    After that, the FindFace apt repository will be automatically installed.

Prerequisites

FindFace Security requires such third-party software as PostgreSQL, Pgbouncer, Redis, etcd, and memcached. Do the following:

  1. Install the prerequisite packages as such:

    On Ubuntu 16.04:

    sudo apt update
sudo apt install -y postgresql-9.5 redis-server etcd memcached pgbouncer

    On Ubuntu 18.04:

    sudo apt update
sudo apt install -y postgresql-10 redis-server etcd memcached pgbouncer

  2. Open the memcached configuration file. Set the maximum memory to use for items in megabytes: -m 512. Set the max item size: -I 16m. If one or both of these parameters are absent, simply add them in the file.

    sudo vi /etc/memcached.conf

-m 512
-I 16m

  3. Give a strong password to the ntech user (9T3g1nXy9yx3y8MIGm9fbef3dia8UTc3 in the example below). Output the credentials to the pgbouncer user list.

    echo '"ntech" "9T3g1nXy9yx3y8MIGm9fbef3dia8UTc3"' | sudo tee -a /etc/pgbouncer/userlist.txt

  4. Configure pgbouncer. In /etc/pgbouncer/pgbouncer.ini, add the ffsecurity database to the databases section. Configure other parameters, as shown in the example below.

    sudo vi /etc/pgbouncer/pgbouncer.ini

[databases]
ffsecurity = dbname=ffsecurity host=localhost port=5432 user=ntech

...
auth_type = plain
pool_mode = transaction
max_client_conn = 16384
syslog = 1
listen_port = 5439

  5. Enable the prerequisite services autostart and launch the services:

    On Ubuntu 16.04:

    sudo systemctl enable postgresql@9.5-main.service redis-server etcd.service memcached.service pgbouncer.service
sudo systemctl start postgresql@9.5-main.service redis-server etcd.service memcached.service pgbouncer.service

    On Ubuntu 18.04:

    sudo systemctl enable postgresql@10-main.service redis-server etcd.service memcached.service pgbouncer.service
sudo systemctl start postgresql@10-main.service redis-server etcd.service memcached.service pgbouncer.service

Provide Licensing

See also

Licensing Principles

You receive a license file from your NTechLab manager. If you opt for the on-premise licensing, we will also send you a USB dongle.

The FindFace Security licensing is provided as follows:

  1. Deploy findface-ntls, license server in the FindFace core.

    Important

    There must be only one findface-ntls instance in each FindFace Security installation.

    Tip

    In the findface-ntls configuration file, you can change the license folder and specify your proxy server IP address if necessary. You can also change the findface-ntls web interface remote access settings. See findface-ntls for details.

    sudo apt update
sudo apt install -y findface-ntls
sudo systemctl enable findface-ntls.service && sudo systemctl start findface-ntls.service

  2. Upload the license file via the findface-ntls web interface in one of the following ways:

    • Navigate to the findface-ntls web interface http://<NTLS_IP_address>:3185/#/. Upload the license file.

      Tip

      Later on, use the FindFace Security main web interface to consult your license information, and upgrade or extend your license (Settings -> License).

    • Directly put the license file into the license folder (by default, /opt/ntech/license, can be changed in the /etc/findface-ntls.cfg configuration file).

  3. For the on-premise licensing, insert the USB dongle into a USB port.

  4. If the licensable components are installed on remote hosts, specify the IP address of the findface-ntls host in their configuration files. See findface-extraction-api, findface-tarantool-server, Video face detection: findface-video-manager and findface-video-worker for details.

See also

View and Update License

Deploy Main Database

In FindFace Security, the main system database is based on PostgreSQL. To deploy the main database, do the following:

  1. Open the pgbouncer list of users /etc/pgbouncer/userlist.txt. Copy the ntech user’s password (9T3g1nXy9yx3y8MIGm9fbef3dia8UTc3 in the example below).

    sudo cat /etc/pgbouncer/userlist.txt

"ntech" "9T3g1nXy9yx3y8MIGm9fbef3dia8UTc3"

  2. Using the PostgreSQL console, create a new user ntech with the copied password, and databases ffsecurity and ffcounter in PostgreSQL.

    sudo -u postgres psql

postgres=# CREATE ROLE ntech WITH LOGIN PASSWORD '9T3g1nXy9yx3y8MIGm9fbef3dia8UTc3';

postgres=# CREATE DATABASE ffsecurity WITH OWNER ntech ENCODING 'UTF-8' LC_COLLATE='en_US.UTF-8' LC_CTYPE='en_US.UTF-8' TEMPLATE template0;

postgres=# CREATE DATABASE ffcounter WITH OWNER ntech ENCODING 'UTF-8' LC_COLLATE='C.UTF-8' LC_CTYPE='C.UTF-8' TEMPLATE template0;

    Tip

    To quit from the PostgreSQL console, type \q and press Enter.

  3. Allow authentication by UID of a socket client in PostgreSQL. Restart PostgreSQL.

    On Ubuntu 16.04:

    echo 'local all ntech peer' | sudo tee -a /etc/postgresql/9.5/main/pg_hba.conf

sudo systemctl restart postgresql@9.5-main.service

    On Ubuntu 18.04:

    echo 'local all ntech peer' | sudo tee -a /etc/postgresql/10/main/pg_hba.conf

sudo systemctl restart postgresql@10-main.service

Deploy FindFace Core

To deploy the FindFace core, do the following:

Tip

You can find the description of the FindFace core components and their configuration parameters in Architecture and Components in Depth.

  1. Install the FindFace core components:

    sudo apt update
sudo apt install -y findface-tarantool-server findface-extraction-api findface-sf-api findface-upload findface-video-manager findface-video-worker-cpu

    Note

    To install the GPU-accelerated findface-extraction-api component, use findface-extraction-api-gpu instead of findface-extraction-api in the command.

    Note

    To install the GPU-accelerated findface-video-worker component, use findface-video-worker-gpu instead of findface-video-worker-cpu in the command. If you have several video cards on your server, see Multiple Video Cards Usage.

    Important

    Be sure to manually install neural network models on the host(s) with findface-extraction-api.

  2. In the findface-sf-api configuration file, enable the allow-return-facen parameter.

    sudo vi /etc/findface-sf-api.ini

...
limits:
  ...
  allow-return-facen: true
...

  3. In the findface-extraction-api configuration file, enable recognition models for face features such as gender, age, emotions, glasses, beard, and face mask, subject to your needs. Be sure to choose the right acceleration type for each model, matching the acceleration type of findface-extraction-api: CPU or GPU. Be aware that findface-extraction-api on CPU can work only with CPU-models, while findface-extraction-api on GPU supports both CPU- and GPU-models. See Face Features Recognition for details.

    sudo vi /etc/findface-extraction-api.ini

models:
  age: faceattr/age.v1.cpu.fnk
  emotions: faceattr/emotions.v1.cpu.fnk
  face: face/ifruit_320.cpu.fnk
  gender: faceattr/gender.v2.cpu.fnk
  beard: faceattr/beard.v0.cpu.fnk
  glasses3: faceattr/glasses3.v0.cpu.fnk
  medmask3: faceattr/medmask3.v0.cpu.fnk

    The following models are available:

    Face feature Acceleration Configuration file parameter
    face (biometry) CPU face: face/ifruit_320.cpu.fnk face: face/ifruit_160.cpu.fnk
    GPU face: face/ifruit_320.gpu.fnk face: face/ifruit_160.gpu.fnk
    age CPU age: faceattr/age.v1.cpu.fnk
    GPU age: faceattr/age.v1.gpu.fnk
    gender CPU gender: faceattr/gender.v2.cpu.fnk
    GPU gender: faceattr/gender.v2.gpu.fnk
    emotions CPU emotions: faceattr/emotions.v1.cpu.fnk
    GPU emotions: faceattr/emotions.v1.gpu.fnk
    glasses CPU glasses3: faceattr/glasses3.v0.cpu.fnk
    GPU glasses3: faceattr/glasses3.v0.gpu.fnk
    beard CPU beard: faceattr/beard.v0.cpu.fnk
    GPU beard: faceattr/beard.v0.gpu.fnk
    face mask CPU medmask3: faceattr/medmask3.v0.cpu.fnk
    GPU medmask3: faceattr/medmask3.v0.gpu.fnk

    Tip

    To disable a recognition model, simply pass an empty value to a relevant parameter. Do not remove the parameter itself as in this case the system will be searching for the default model.

    models:
  gender: ""
  age: ""
  emotions: ""

  4. Open the /etc/findface-video-worker-cpu.ini (/etc/findface-video-worker-gpu.ini) configuration file. In the mgr-static parameter, specify the findface-video-manager host IP address, which provides findface-video-worker with settings and the video stream list. In the capacity parameter, specify the maximum number of video streams to be processed by findface-video-worker. In the streamer section, specify the IP address and port to access the video wall. The streamer port must be set to 18999.

    sudo vi /etc/findface-video-worker-cpu.ini
sudo vi /etc/findface-video-worker-gpu.ini

mgr-static=127.0.0.1:18811

capacity=10

[streamer]
#------------------------------
## streamer/shots webserver port, 0=disabled
## type:number env:CFG_STREAMER_PORT longopt:--streamer-port
port = 18999
## streamer url - how to access this worker on streamer_port
## type:string env:CFG_STREAMER_URL longopt:--streamer-url
url = 127.0.0.1:18999

  5. Enable the FindFace core services autostart and launch the services.

    sudo systemctl enable findface-extraction-api findface-sf-api findface-video-manager findface-video-worker-cpu
sudo systemctl start findface-extraction-api findface-sf-api findface-video-manager findface-video-worker-cpu

Deploy FindFace Security Application Module and Biometric Database

To deploy the FindFace Security application module, do the following:

  1. Install the findface-security, ffsecurity-ui, and findface-counter components. Enable the findface-counter autostart and launch the service.

    sudo apt update
sudo apt install -y ffsecurity ffsecurity-ui findface-counter
sudo systemctl enable findface-counter && sudo systemctl start findface-counter

  2. Migrate the database architecture from FindFace Security to PostgreSQL, create user groups with predefined rights and the first user with administrator rights (a.k.a. Super Administrator).

    Important

    Super Administrator cannot be deprived of its rights, whatever the role.

    sudo findface-security migrate
sudo findface-security create_groups
sudo findface-security create_default_user

  3. Create a structure of the Tarantool-based biometric database.

    sudo findface-security make_tnt_schema | sudo tee /etc/ffsecurity/tnt_schema.lua

  4. Open the /etc/tarantool/instances.enabled/FindFace.lua configuration file. Check whether it contains the dofile command, meta_indexes and meta_scheme definitions, as in the example below.

    sudo vi /etc/tarantool/instances.enabled/FindFace.lua

dofile("/etc/ffsecurity/tnt_schema.lua")
-- host:port to bind, HTTP API
FindFace = require("FindFace")
FindFace.start("127.0.0.1", 8001, {
    license_ntls_server="127.0.0.1:3133",
    meta_indexes=meta_indexes,
    meta_scheme = meta_scheme
})

  5. Enable the findface-tarantool-server service autostart and launch the service.

    sudo systemctl enable tarantool@FindFace.service && sudo systemctl start tarantool@FindFace.service

  6. Open the /etc/ffsecurity/config.py configuration file. Specify the following parameters:

    • 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: IP address of the findface-security host that will receive detected faces from the findface-video-worker instance(s). Specify either external or internal IP address, subject to the network through which findface-video-worker interacts with findface-security. Change the default port, subject to the redirect settings from HTTP to HTTPS, or omit it leaving only the IP address.
    • SF_API_ADDRESS: IP address of the findface-sf-api host.
    • DATABASES (section): fill it in as such: 'PORT': 5439, 'USER': 'ntech', 'PASSWORD': '<password from /etc/pgbouncer/userlist.txt>' (see Prerequisites).

    Tip

    If necessary, ensure data security by enabling SSL.

    Tip

    If necessary, set ’IGNORE_UNMATCHED’: True to disable logging events for faces which have no match in the dossiers (negative verification result). Enable this option if the system has to process a large number of faces. The face similarity threshold for verification is defined by the CONFIDENCE_THRESHOLD parameter.

    Tip

    It is recommended to change the MINIMUM_DOSSIER_QUALITY default value. This parameter determines the minimum quality of a face in a dossier photo. Photos containing faces of worse quality will be rejected when uploading to a dossier. Upright faces in frontal position are considered the best quality. They result in values around 0, mostly negative (such as -0.00067401276, for example). Inverted faces and large face angles are estimated with negative values some -5 and less. By default, ’MINIMUM_DOSSIER_QUALITY’: -2 which is the average quality.

    Important

    If you enabled recognition models in the findface-extraction-api configuration file, add the following line in the FFSECURITY section: ‘EVENTS_FEATURES’: [‘gender’, ‘age’, ‘emotions’, ‘beard’, ‘glasses’, ‘medmask’], subject to the list of enabled models. This line must be placed between SF_API_ADDRESS and LIVENESS_THRESHOLD as shown in the example below. See Face Features Recognition for details.

    sudo vi /etc/ffsecurity/config.py

# ==============================================================================
# FindFace Security configuration file
# ==============================================================================
#
# This config file is written in Python's syntax and interpreted at FindFace Security
# service startup. You have to restart the service in order to apply changes.
#
# If you have any questions or suggestions, please contact us at [email protected]
# ==============================================================================
# GENERAL SETTINGS
# ==============================================================================
# enables additional logs
DEBUG = False
# media files directory
MEDIA_ROOT = "/var/lib/ffsecurity/uploads"
# static files directory
STATIC_ROOT = "/var/lib/ffsecurity/static"
# language code
LANGUAGE_CODE = 'en-us'
# time zone
TIME_ZONE = 'UTC'
# Database is used by FindFace Security to store cameras,
# camera groups, watchlists and so on. Only PostgreSQL is supported.
DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql',
        'DISABLE_SERVER_SIDE_CURSORS': True,
        'NAME': 'ffsecurity',
        'PORT': 5439, 'USER': 'ntech', 'PASSWORD': '9T3g1nXy9yx3y8MIGm9fbef3dia8UTc3'
    }
}
# Signature key for session encryption
# Use pwgen -sncy 50 1|tr "'" "." to generate your own unique key
SECRET_KEY = 'd1c22e3b368f2f8be4caa95b3540ce0c'
# ==============================================================================
# FINDFACE SECURITY SETTINGS
# ==============================================================================
# SERVICE_EXTERNAL_ADDRESS is prioritized for FFSecurity webhooks and Genetec plugin.
# EXTERNAL_ADDRESS is used instead if SERVICE_EXTERNAL_ADDRESS is not provided.
# You must provide either SERVICE_EXTERNAL_ADDRESS or EXTERNAL_ADDRESS in order
# to be able to work with FFSecurity webhooks and Genetec plugin.
SERVICE_EXTERNAL_ADDRESS = 'http://127.0.0.1'
# EXTERNAL_ADDRESS is used to access objects created inside FFSecurity via external links.
EXTERNAL_ADDRESS = ''
# - Base FFSecurity settings -
FFSECURITY = {
    # findface-video-worker authorization token
    'VIDEO_DETECTOR_TOKEN': 'fdc0fea20cf0a734c5e2de1886fc07b4',
    # base face matching confidence threshold
    'CONFIDENCE_THRESHOLD': 0.739,
    # episodes specific matching threshold that is used to join faces in an episode
    'EPISODES_THRESHOLD': 0.689,
    # minimum face quality sufficient to add it to a dossier
    'MINIMUM_DOSSIER_QUALITY': -2,
    # skip all unmatched faces
    'IGNORE_UNMATCHED': False,
    # matched events older than EVENTS_MAX_MATCHED_AGE will be automatically
    # deleted (every night at 1:17 am by default)
    'EVENTS_MAX_MATCHED_AGE': 30,
    # same as above but for unmatched events
    'EVENTS_MAX_UNMATCHED_AGE': 30,
    # same as EVENTS_MAX_MATCHED_AGE but for matched full frame images only (thumbnails won't be deleted)
    'EVENTS_MAX_FULLFRAME_UNMATCHED_AGE': 30,
    # same as above but for unmatched full frame images only (thumbnails won't be deleted)
    'EVENTS_MAX_FULLFRAME_MATCHED_AGE': 30,
    # NTLS licence server url
    'NTLS_HTTP_URL': 'http://127.0.0.1:3185',
    # findface-video-worker face posting address,
    # it must be set to either FFSecurity EXTERNAL_ADDRESS (by default)
    # or findface-facerouter url (in some specific cases)
    'ROUTER_URL': 'http://127.0.0.1',
    # send serialized dossiers, dossier-lists, camera and camera groups in webhooks
    'VERBOSE_WEBHOOKS': False,
    'THUMBNAIL_JPEG_QUALITY': 75,
    # FFServer services urls
    'VIDEO_MANAGER_ADDRESS': 'http://127.0.0.1:18810',
    'SF_API_ADDRESS': 'http://127.0.0.1:18411',
    'FFCOUNTER_ADDRESS': 'http://127.0.0.1:17300',
    # additional events features.
    # make sure that corresponding extractors
    # are licensed and enabled at findface-extraction-api config file.
    # available features are: gender, age, emotions, beard, glasses, medmask.
    'EVENTS_FEATURES': [],
    # feature specific confidence thresholds
    'LIVENESS_THRESHOLD': 0.75,
    'EMOTIONS_THRESHOLD': 0.25,
    'BEARD_THRESHOLD': 0.7,
    # -- Persons configuration --
    # rrule (recurrence rule) for scheduling persons clusterization
    'PERSONS_CLUSTERIZATION_SCHEDULE': 'RRULE:FREQ=DAILY;INTERVAL=1;WKST=MO;BYHOUR=0;BYMINUTE=0',
    # face to person matching confidence threshold
    'PERSONS_CONFIDENCE_THRESHOLD': 0.739,
    # minimum face quality for handle face in person service
    'PERSON_EVENT_MIN_QUALITY': -2,
    # counters full frame saving options:
    # `always` - save always
    # `detect` - save only if faces or silhouettes have been detected
    # `never` - never save full frames
    'COUNTERS_SAVE_FULLFRAME': 'always',
    'COUNTERS_FULLFRAME_JPEG_QUALITY': 75,
    'COUNTERS_THUMBNAIL_JPEG_QUALITY': 75,
    # -- Optional parameters --
    # Edit CUSTOM_FIELDS section to customize dossier content.
    # Below is an example for integration FindFace Security with Sigur.
    # 'CUSTOM_FIELDS': {
    #     'dossier_meta': {
    #         'items': [
    #             {
    #                 'name': 'personid',
    #                 'default': '',
    #                 'label': 'PersonID',
    #                 'display': ['list', 'form'],
    #                 'description': 'Sigur person ID'
    #             },
    #             {
    #                 'name': 'firstname',
    #                 'default': '',
    #                 'label': 'First Name',
    #                 'display': ['list', 'form'],
    #                 'description': 'Sigur first name'
    #             },
    #             {
    #                 'name': 'lastname',
    #                 'default': '',
    #                 'label': 'Last Name',
    #                 'display': ['list', 'form'],
    #                 'description': 'Sigur last name'
    #             },
    #             {
    #                 'name': 'version',
    #                 'default': '',
    #                 'label': 'Version',
    #                 'display': ['list', 'form'],
    #                 'description': 'Sigur photo version'
    #             }
    #         ],
    #         'filters': [
    #             {
    #                 'name': 'personid',
    #                 'label': 'Sigur person ID filter',
    #                 'field': 'personid'
    #             }
    #         ]
    #     }
    # },
    # maximum event age in seconds than could be added to an episode.
    # 'EPISODE_SEARCH_INTERVAL': 60,
    # If none of these events matched, new episode is created.
    # maximum episode duration (episode is closed after)
    # 'EPISODE_MAX_DURATION': 300,
    # if no new event added to an episode during this timeout, episode will be closed.
    # 'EPISODE_EVENT_TIMEOUT': 30,
    # maximum created thumbnail width
    # 'THUMBNAIL_MAX_WIDTH': 320,
    # social backend url. Contact support for additional information.
    # 'SOCIAL_BACKEND': None,
    # 'SOCIAL_HEADERS': {},
    # unacknowledged events notification interval
    # 'UNACKNOWLEDGED_NOTIFY_INTERVAL': 1,
}
# - FindFace Security user interface configuration dictionary -
FFSECURITY_UI_CONFIG = {
    "event": {
        "features": {
            "f_gender_class": ["male", "female"],
            "age": {
                "f_age_gte": "",
                "f_age_lte": ""
            },
            "f_emotions_class": ["angry", "disgust", "fear", "happy", "sad", "surprise", "neutral"],
            "f_glasses_class": ["none", "eye", "sun"],
            "f_beard_class": ["none", "beard"],
            "f_liveness_class": ["real", "fake"],
            "f_medmask_class": ["none", "correct"],
        }
    }
}
# -- ASGI-server configuration --
# consult support before changing these settings.
# per worker thread pool size.
ASGI_THREADS = 32
UVICORN_SETTINGS = {
    # worker processes count, 'auto' sets it to logical cpu count
    'workers': 'auto',
    'host': 'localhost',
    'port': 8002,
    # websocket worker processes count,
    # 'auto' sets it to logical cpu count, but not more than 8.
    'ws-workers': 'auto',
    'ws-host': 'localhost',
    'ws-port': 8003,
}
# disable unused services to increase
# overall system performance in some cases.
SERVICES = {
    "ffsecurity": {
        "episodes": True,
        "webhooks": True,
        "persons": False,
    }
}
# ==============================================================================
# FINDFACE SECURITY PLUGINS
# ==============================================================================
# Uncomment lines below to enable plugins. Please consult documentation for
# a plugin specific settings.
# =============== Axxon ================
# INSTALLED_APPS.append('ffsecurity_axxon')
# FFSECURITY['AXXON'] = [
#     {
#         'name': 'server_name',
#         'api': 'http://example.com/',
#         'rtsp': 'rtsp://example.com:554/',
#         'user': 'user',
#         'password': 'password',
#     }
# ]
# FFSECURITY_UI_CONFIG['dossier'] = {
#    'video': True,
# }
# =============== Genetec ================
# INSTALLED_APPS.append('ffsecurity_genetec')
# ================ Sova ==================
# INSTALLED_APPS.append('ffsecurity_sova')
# ======= CryptoPRO authentication =======
# INSTALLED_APPS.append('ffsecurity_cproauth')
# REST_FRAMEWORK['DEFAULT_AUTHENTICATION_CLASSES'] = [
#     'ffsecurity.auth.TokenAuthentication',
#     'ffsecurity_cproauth.auth.CryptoProOrTokenAuthentication'
# ]
# ========== DossierLists sync ===========
# INSTALLED_APPS.append('ffsecurity_sync')
# token must be identical on master and slave
# use pwgen -s 64 1
# SYNC_TOKEN = 'change_me'
# SYNC_TIME = {
#     # 24 hour format
#     'hour': 3,
#     'minute': 0,
# }

  7. Generate a signature key for the session encryption (used by Django) by executing: pwgen -sncy 50 1|tr “’” “.”. Specify this key as SECRET_KEY.

  8. Start the services.

    sudo systemctl enable findface-security
sudo systemctl start findface-security

  9. Disable the default nginx server and add the findface-security server to the list of enabled servers. Restart nginx.

    sudo rm /etc/nginx/sites-enabled/default

sudo ln -s /etc/nginx/sites-available/ffsecurity-nginx.conf /etc/nginx/sites-enabled/

sudo nginx -s reload