BoundingBoxs are returned as floats from API when edited

[damongolding]

I have searched the existing issues, both open and closed, to make sure this is not a duplicate report.

• Yes

The bug

When an asset has been edited via the Immich web editor, the API returns its face BoundingBox coordinates as floats instead of ints.

The OS that Immich Server is running on

Debian

Version of Immich Server

v2.5.6

Version of Immich Mobile App

v2.5.6

Platform with the issue

• Server
• Web
• Mobile

Device make and model

No response

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?target=https://github.com
#
# 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}
    extends:
      file: hwaccel.transcoding.yml
      service: vaapi # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - ${EXTERNAL_PATH}:/usr/src/app/external
      - /etc/localtime:/etc/localtime:ro
    env_file:
      - .env
    environment:
      - PUID=1000
      - PGID=1000
    ports:
      - 2283:2283
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      test:
        - CMD-SHELL
        - '[ -d "/usr/src/app/upload" ] && [ -d "/usr/src/app/external" ]'
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 30s
  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
    #   file: hwaccel.ml.yml
    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - model-cache:/cache
    env_file:
      - .env
    restart: always
    healthcheck:
      disable: false
  redis:
    container_name: immich_redis
    image: docker.io/valkey/valkey:8-bookworm@sha256:42cba146593a5ea9a622002c1b7cba5da7be248650cbb64ecb9c6c33d29794b1
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always
  database:
    container_name: immich_postgres
    image: ghcr.io/immich-app/postgres:14-vectorchord0.3.0-pgvectors0.2.0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: --data-checksums
    # Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
    # DB_STORAGE_TYPE: 'HDD'
    volumes:
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    restart: always
volumes:
  model-cache: null
networks: {}

Your .env content

# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables

# The location where your uploaded files are stored
UPLOAD_LOCATION=/mnt/multimedia/immich
#UPLOAD_LOCATION=/mnt/multimedia/photos
#THUMB_LOCATION=./library
#ENCODED_VIDEO_LOCATION=/mnt/multimedia/immich/encoded_videos

DB_DATA_LOCATION=./postgres

# The Immich version to use. You can pin this to a specific version like "v1.71.0"
IMMICH_VERSION=release

# Connection secret for postgres. You should change it to a random password
DB_PASSWORD=x

# The values below this line do not need to be changed
###################################################################################
DB_HOSTNAME=immich_postgres
DB_USERNAME=postgres
DB_DATABASE_NAME=immich

REDIS_HOSTNAME=immich_redis

EXTERNAL_PATH=x

IMMICH_AUTO_CREATE_ALBUM=true

IMMICH_API_KEY=x
IMMICH_URL=x
EXTERNAL_URL=x

Reproduction steps

1. Edit a image via Immichs web edtor
2. curl /api/assets/ASSET_ID
3. See unassignedFaces[0].boundingBoxX1 is a float

Relevant log output

Additional information

No response