Facial recognition on libraries shared with me

The bug

I've noticed that the people tab only shows matches on photos in my library, and not from the libraries shared with me. My use case is I run the server with an admin and have my family's photos upload and are shared with me. When I click people, I only see photos that were uploaded by me, when there are definitely photos that should match from the others.

The OS that Immich Server is running on

Ubuntu 22.04 - Docker

Version of Immich Server

1.18.2

Version of Immich Mobile App

1.18.0

Platform with the issue

[X] Server
[ ] Web
[ ] Mobile

Your docker-compose.yml content

#
# WARNING: Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.
#

name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    devices:
      - /dev/dri:/dev/dri
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      # Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
      - photos2:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
      - photos:/photos:ro
    env_file:
      - stack.env
    ports:
      - 2283:2283
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      disable: false

  immich-machine-learning:
    container_name: immich_machine_learning
  # Note the `-cuda` at the end
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-cuda
  # Note the lack of an `extends` section
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities:
                - gpu

    volumes:
      - model-cache:/cache
    env_file:
      - stack.env
    restart: always
    healthcheck:
      disable: false

  redis:
    container_name: immich_redis
    image: docker.io/redis:6.2-alpine@sha256:2d1463258f2764328496376f5d965f20c6a67f66ea2b06dc42af351f75248792
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always

  database:
    container_name: immich_postgres
    image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
    volumes:
      # Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    healthcheck:
      test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
      interval: 5m
      start_interval: 30s
      start_period: 5m
    command: ["postgres", "-c", "shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]

    restart: always

volumes:
  model-cache:
  photos:
    external: true
  photos2:
    external: true

Your .env content

UPLOAD_LOCATION=/media/scott/8tb/bigdocker/immup
DB_DATA_LOCATION=/media/scott/8tb/bigdocker/immich/immich_immdb
IMMICH_VERSION=release
DB_PASSWORD=xxxx
DB_USERNAME=xxxx
DB_DATABASE_NAME=immich
TZ=America/Los_Angeles

Reproduction steps

1 Look at people. .

See photos missing that are in photos.
...

Relevant log output

No response

Additional information