immich-app / immich

High performance self-hosted photo and video management solution.
https://immich.app
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[BUG] DETECT OBJECTS throws lots of: Error reading file TypeError: Cannot read properties of undefined (reading 'classify') #1794

Closed dankasak closed 1 year ago

dankasak commented 1 year ago

The bug

I've imported some pictures and videos, and gone into: Administration ==> Jobs ==> Detect Objects ==> All

I saw the counter proceeding through all my imported items ( around 50K ). At the end of the job, I have a "node dist/main.js" process occupying 19G, but seemingly doing nothing. None of my photos appear to have any detected objects in them. In the logs for the immich_machine_learning container, I see a LOT of:

Error reading file TypeError: Cannot read properties of undefined (reading 'classify') at ImageClassifierService.tagImage (/usr/src/app/dist/image-classifier/image-classifier.service.js:36:63) at ImageClassifierController.tagImage (/usr/src/app/dist/image-classifier/image-classifier.controller.js:23:50) at /usr/src/app/node_modules/@nestjs/core/router/router-execution-context.js:38:29 at runMicrotasks () at processTicksAndRejections (node:internal/process/task_queues:96:5) at async /usr/src/app/node_modules/@nestjs/core/router/router-execution-context.js:46:28 at async /usr/src/app/node_modules/@nestjs/core/router/router-proxy.js:9:17

The OS that Immich Server is running on

Fedora

Version of Immich Server

1.47.3

Version of Immich Mobile App

Not using it yet

Platform with the issue

Your docker-compose.yml content

version: "3.8"

services:
  immich-server:
    container_name: immich_server
    image: altran1502/immich-server:release
    entrypoint: ["/bin/sh", "./start-server.sh"]
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
    env_file:
      - .env
    environment:
      - NODE_ENV=production
    depends_on:
      - redis
    restart: always

  immich-microservices:
    container_name: immich_microservices
    image: altran1502/immich-server:release
    entrypoint: ["/bin/sh", "./start-microservices.sh"]
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
    env_file:
      - .env
    environment:
      - NODE_ENV=production
    depends_on:
      - redis
    restart: always

  immich-machine-learning:
    container_name: immich_machine_learning
    image: altran1502/immich-machine-learning:release
    entrypoint: ["/bin/sh", "./entrypoint.sh"]
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
    env_file:
      - .env
    environment:
      - NODE_ENV=production
    restart: always

  immich-web:
    container_name: immich_web
    image: altran1502/immich-web:release
    entrypoint: ["/bin/sh", "./entrypoint.sh"]
    env_file:
      - .env
    restart: always

  redis:
    container_name: immich_redis
    image: redis:6.2
    restart: always

  immich-proxy:
    container_name: immich_proxy
    image: altran1502/immich-proxy:release
    environment:
      # Make sure these values get passed through from the env file
      - IMMICH_SERVER_URL
      - IMMICH_WEB_URL
    ports:
      - 2283:8080
    logging:
      driver: none
    depends_on:
      - immich-server
    restart: always

Your .env content

###################################################################################
# Database
###################################################################################

DB_HOSTNAME=192.168.1.128
DB_USERNAME=immich
DB_PASSWORD=******
DB_DATABASE_NAME=immich

# Optional Database settings:
# DB_PORT=5432

###################################################################################
# Redis
###################################################################################

REDIS_HOSTNAME=immich_redis

# Optional Redis settings:
# REDIS_PORT=6379
# REDIS_DBINDEX=0
# REDIS_PASSWORD=
# REDIS_SOCKET=

###################################################################################
# Upload File Location
#
# This is the location where uploaded files are stored.
###################################################################################

UPLOAD_LOCATION=/mnt/array0/immich/uploads

###################################################################################
# Reverse Geocoding
#
# Reverse geocoding is done locally which has a small impact on memory usage
# This memory usage can be altered by changing the REVERSE_GEOCODING_PRECISION variable
# This ranges from 0-3 with 3 being the most precise
# 3 - Cities > 500 population: ~200MB RAM
# 2 - Cities > 1000 population: ~150MB RAM
# 1 - Cities > 5000 population: ~80MB RAM
# 0 - Cities > 15000 population: ~40MB RAM
####################################################################################

# DISABLE_REVERSE_GEOCODING=false
# REVERSE_GEOCODING_PRECISION=3

####################################################################################
# WEB - Optional
#
# Custom message on the login page, should be written in HTML form.
# For example:
# PUBLIC_LOGIN_PAGE_MESSAGE="This is a demo instance of Immich.<br><br>Email: <i>demo@demo.de</i><br>Password: <i>demo</i>"
####################################################################################

PUBLIC_LOGIN_PAGE_MESSAGE=

####################################################################################
# Alternative Service Addresses - Optional
#
# This is an advanced feature for users who may be running their immich services on different hosts.
# It will not change which address or port that services bind to within their containers, but it will change where other services look for their peers.
# Note: immich-microservices is bound to 3002, but no references are made
####################################################################################

IMMICH_WEB_URL=http://immich-web:3000
IMMICH_SERVER_URL=http://immich-server:3001
IMMICH_MACHINE_LEARNING_URL=http://immich-machine-learning:3003

####################################################################################
# Alternative API's External Address - Optional
#
# This is an advanced feature used to control the public server endpoint returned to clients during Well-known discovery.
# You should only use this if you want mobile apps to access the immich API over a custom URL. Do not include trailing slash.
# NOTE: At this time, the web app will not be affected by this setting and will continue to use the relative path: /api
# Examples: http://localhost:3001, http://immich-api.example.com, etc
####################################################################################

#IMMICH_API_URL_EXTERNAL=http://localhost:3001

Reproduction steps

1. Import Photos
2. Administration ==> Jobs ==> Detect Objects ==> All
3. View logs

Additional information

No response

alextran1502 commented 1 year ago

I can't seem to reproduce the problem. Does your CPU support AVX and AVX2 instructions? https://immich.app/docs/install/requirements#hardware

dankasak commented 1 year ago

Yes. It's an AMD Ryzen 5 7600X 6-Core Processor. I see both avx and avx2 in CPU flags:

fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid overflow_recov succor smca fsrm flush_l1d

bo0tzz commented 1 year ago

Since the latest release has fundamentally changed the machine-learning image, this issue should no longer happen ;)