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Facial recognition fails when Minimum detection score is zero #4030

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opened 2026-02-05 09:37:21 +03:00 by OVERLORD · 1 comment
OVERLORD commented 2026-02-05 09:37:21 +03:00
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Originally created by @CubeOvO on GitHub (Aug 5, 2024).

The bug

the title, took a while to find out the cause, but when the "Minimum detection score" in facial recoginition is set to 0, the facial recoginition will fail (for all models). with or without the cuda acceleration, log output at the end
different config have different errors, the log is produced with antelopev2

The OS that Immich Server is running on

windows

Version of Immich Server

v1.111.0

Version of Immich Mobile App

v1.0.0

Platform with the issue

  • 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}
    # 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
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
      - [redacted some external mounts]

    env_file:
      - .env
    ports:
      - 2283:3001
    depends_on:
      - redis
      - database
    restart: always

  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: cuda # 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

  redis:
    container_name: immich_redis
    image: docker.io/redis:6.2-alpine@sha256:e3b17ba9479deec4b7d1eeec1548a253acc5374d68d3b27937fcfe4df8d18c7e
    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:

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=./library
# The location where your database files are stored
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= [redacted]

MACHINE_LEARNING_WORKER_TIMEOUT = 300
# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich

Reproduction steps

1. lauch immich server
2. go to admin - system setting - facial recognision and change the min dectection score to 0
3. queue some facial recognition job
...

Relevant log output

2024-08-05 13:02:41 [08/05/24 17:02:41] INFO     Starting gunicorn 22.0.0                           
2024-08-05 13:02:41 [08/05/24 17:02:41] INFO     Listening at: http://[::]:3003 (9)                 
2024-08-05 13:02:41 [08/05/24 17:02:41] INFO     Using worker: app.config.CustomUvicornWorker       
2024-08-05 13:02:41 [08/05/24 17:02:41] INFO     Booting worker with pid: 10                        
2024-08-05 13:02:46 [08/05/24 17:02:46] INFO     Started server process [10]                        
2024-08-05 13:02:46 [08/05/24 17:02:46] INFO     Waiting for application startup.                   
2024-08-05 13:02:46 [08/05/24 17:02:46] INFO     Created in-memory cache with unloading after 300s  
2024-08-05 13:02:46                              of inactivity.                                     
2024-08-05 13:02:46 [08/05/24 17:02:46] INFO     Initialized request thread pool with 12 threads.   
2024-08-05 13:02:46 [08/05/24 17:02:46] INFO     Application startup complete.                      
2024-08-05 13:02:50 [08/05/24 17:02:50] INFO     Loading detection model 'antelopev2' to memory     
2024-08-05 13:02:50 [08/05/24 17:02:50] INFO     Setting execution providers to                     
2024-08-05 13:02:50                              ['CPUExecutionProvider'], in descending order of   
2024-08-05 13:02:50                              preference                                         
2024-08-05 13:02:51 [08/05/24 17:02:51] INFO     Loading recognition model 'antelopev2' to memory   
2024-08-05 13:02:51 [08/05/24 17:02:51] INFO     Setting execution providers to                     
2024-08-05 13:02:51                              ['CPUExecutionProvider'], in descending order of   
2024-08-05 13:02:51                              preference      
2024-08-05 13:03:07 [Nest] 7  - 08/05/2024, 5:03:07 PM   ERROR [Microservices:JobService] Unable to run job handler (faceDetection/face-detection): Error: Machine learning request to "http://immich-machine-learning:3003" failed with SocketError: other side closed
2024-08-05 13:03:07 [Nest] 7  - 08/05/2024, 5:03:07 PM   ERROR [Microservices:JobService] Error: Machine learning request to "http://immich-machine-learning:3003" failed with SocketError: other side closed
2024-08-05 13:03:07     at /usr/src/app/dist/repositories/machine-learning.repository.js:19:19
2024-08-05 13:03:07     at async MachineLearningRepository.predict (/usr/src/app/dist/repositories/machine-learning.repository.js:18:21)
2024-08-05 13:03:07     at async MachineLearningRepository.detectFaces (/usr/src/app/dist/repositories/machine-learning.repository.js:33:26)
2024-08-05 13:03:07     at async PersonService.handleDetectFaces (/usr/src/app/dist/services/person.service.js:284:52)
2024-08-05 13:03:07     at async /usr/src/app/dist/services/job.service.js:148:36
2024-08-05 13:03:07     at async Worker.processJob (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:394:28)
2024-08-05 13:03:07     at async Worker.retryIfFailed (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:581:24)
2024-08-05 13:03:07 [Nest] 7  - 08/05/2024, 5:03:07 PM   ERROR [Microservices:JobService] Object:
2024-08-05 13:03:07 {
2024-08-05 13:03:07   "id": "80c1b1fd-b80b-48fc-8713-c398a35643d6"
2024-08-05 13:03:07 }
2024-08-05 13:03:07                                   
2024-08-05 13:03:07 [08/05/24 17:03:07] ERROR    Worker (pid:10) was sent SIGKILL! Perhaps out of   
2024-08-05 13:03:07                              memory?                                            
2024-08-05 13:03:07 [08/05/24 17:03:07] INFO     Booting worker with pid: 52                        
2024-08-05 13:03:14 [08/05/24 17:03:14] INFO     Started server process [52]                        
2024-08-05 13:03:14 [08/05/24 17:03:14] INFO     Waiting for application startup.
(and repeat)

Additional information

No response

Originally created by @CubeOvO on GitHub (Aug 5, 2024). ### The bug the title, took a while to find out the cause, but when the "Minimum detection score" in facial recoginition is set to 0, the facial recoginition will fail (for all models). with or without the cuda acceleration, log output at the end different config have different errors, the log is produced with antelopev2 ### The OS that Immich Server is running on windows ### Version of Immich Server v1.111.0 ### Version of Immich Mobile App v1.0.0 ### Platform with the issue - [X] Server - [ ] Web - [ ] Mobile ### Your docker-compose.yml content ```YAML # # 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} # 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 - ${UPLOAD_LOCATION}:/usr/src/app/upload - /etc/localtime:/etc/localtime:ro - [redacted some external mounts] env_file: - .env ports: - 2283:3001 depends_on: - redis - database restart: always 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: cuda # 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 redis: container_name: immich_redis image: docker.io/redis:6.2-alpine@sha256:e3b17ba9479deec4b7d1eeec1548a253acc5374d68d3b27937fcfe4df8d18c7e 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: ``` ### Your .env content ```Shell # 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=./library # The location where your database files are stored 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= [redacted] MACHINE_LEARNING_WORKER_TIMEOUT = 300 # The values below this line do not need to be changed ################################################################################### DB_USERNAME=postgres DB_DATABASE_NAME=immich ``` ### Reproduction steps ```bash 1. lauch immich server 2. go to admin - system setting - facial recognision and change the min dectection score to 0 3. queue some facial recognition job ... ``` ### Relevant log output ```shell 2024-08-05 13:02:41 [08/05/24 17:02:41] INFO Starting gunicorn 22.0.0 2024-08-05 13:02:41 [08/05/24 17:02:41] INFO Listening at: http://[::]:3003 (9) 2024-08-05 13:02:41 [08/05/24 17:02:41] INFO Using worker: app.config.CustomUvicornWorker 2024-08-05 13:02:41 [08/05/24 17:02:41] INFO Booting worker with pid: 10 2024-08-05 13:02:46 [08/05/24 17:02:46] INFO Started server process [10] 2024-08-05 13:02:46 [08/05/24 17:02:46] INFO Waiting for application startup. 2024-08-05 13:02:46 [08/05/24 17:02:46] INFO Created in-memory cache with unloading after 300s 2024-08-05 13:02:46 of inactivity. 2024-08-05 13:02:46 [08/05/24 17:02:46] INFO Initialized request thread pool with 12 threads. 2024-08-05 13:02:46 [08/05/24 17:02:46] INFO Application startup complete. 2024-08-05 13:02:50 [08/05/24 17:02:50] INFO Loading detection model 'antelopev2' to memory 2024-08-05 13:02:50 [08/05/24 17:02:50] INFO Setting execution providers to 2024-08-05 13:02:50 ['CPUExecutionProvider'], in descending order of 2024-08-05 13:02:50 preference 2024-08-05 13:02:51 [08/05/24 17:02:51] INFO Loading recognition model 'antelopev2' to memory 2024-08-05 13:02:51 [08/05/24 17:02:51] INFO Setting execution providers to 2024-08-05 13:02:51 ['CPUExecutionProvider'], in descending order of 2024-08-05 13:02:51 preference 2024-08-05 13:03:07 [Nest] 7 - 08/05/2024, 5:03:07 PM ERROR [Microservices:JobService] Unable to run job handler (faceDetection/face-detection): Error: Machine learning request to "http://immich-machine-learning:3003" failed with SocketError: other side closed 2024-08-05 13:03:07 [Nest] 7 - 08/05/2024, 5:03:07 PM ERROR [Microservices:JobService] Error: Machine learning request to "http://immich-machine-learning:3003" failed with SocketError: other side closed 2024-08-05 13:03:07 at /usr/src/app/dist/repositories/machine-learning.repository.js:19:19 2024-08-05 13:03:07 at async MachineLearningRepository.predict (/usr/src/app/dist/repositories/machine-learning.repository.js:18:21) 2024-08-05 13:03:07 at async MachineLearningRepository.detectFaces (/usr/src/app/dist/repositories/machine-learning.repository.js:33:26) 2024-08-05 13:03:07 at async PersonService.handleDetectFaces (/usr/src/app/dist/services/person.service.js:284:52) 2024-08-05 13:03:07 at async /usr/src/app/dist/services/job.service.js:148:36 2024-08-05 13:03:07 at async Worker.processJob (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:394:28) 2024-08-05 13:03:07 at async Worker.retryIfFailed (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:581:24) 2024-08-05 13:03:07 [Nest] 7 - 08/05/2024, 5:03:07 PM ERROR [Microservices:JobService] Object: 2024-08-05 13:03:07 { 2024-08-05 13:03:07 "id": "80c1b1fd-b80b-48fc-8713-c398a35643d6" 2024-08-05 13:03:07 } 2024-08-05 13:03:07 2024-08-05 13:03:07 [08/05/24 17:03:07] ERROR Worker (pid:10) was sent SIGKILL! Perhaps out of 2024-08-05 13:03:07 memory? 2024-08-05 13:03:07 [08/05/24 17:03:07] INFO Booting worker with pid: 52 2024-08-05 13:03:14 [08/05/24 17:03:14] INFO Started server process [52] 2024-08-05 13:03:14 [08/05/24 17:03:14] INFO Waiting for application startup. (and repeat) ``` ### Additional information _No response_
OVERLORD commented 2026-02-05 09:37:28 +03:00
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@danieldietzler commented on GitHub (Sep 23, 2024):

Why is this a bug? A minimum detection score of zero does not make any sense

@danieldietzler commented on GitHub (Sep 23, 2024): Why is this a bug? A minimum detection score of zero does not make any sense
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Reference: immich-app/immich#4030
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