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1.113 Facial recognition not working #4201

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opened 2026-02-05 09:51:45 +03:00 by OVERLORD · 3 comments
OVERLORD commented 2026-02-05 09:51:45 +03:00
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Originally created by @Webrow on GitHub (Sep 2, 2024).

The bug

I was using the 1.09 version before upgrading in which I had not turned machine learning on.
My machine learning server had an issue with openBLAS not being allowed multiple threads, so I used the "opt-security" priviliged setting for that in the docker compose.

I went to jobs and clicked run all. Looking at the logs file of the ML container I get the following output continiously

2024-09-02 11:11:00.881613426 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:02.180080903 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:02.322959747 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683
2024-09-02 11:11:03.180117114 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:03.280537676 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:04.344415389 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:05.226606656 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:05.799214362 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:07.552269746 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683
2024-09-02 11:11:07.792963316 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:09.754034963 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683
2024-09-02 11:11:10.764368678 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {6,512} for output 683
2024-09-02 11:11:10.813287722 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:11.940279203 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:11.978081636 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:13.303886994 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:14.150040267 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683
2024-09-02 11:11:15.509054157 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:16.031306946 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:16.672024857 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:17.850123084 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683
2024-09-02 11:11:18.116726508 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683
2024-09-02 11:11:19.743661668 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {6,512} for output 683
2024-09-02 11:11:19.826529388 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683
2024-09-02 11:11:20.974636550 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:21.047272423 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:21.847070020 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:25.230369980 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:25.251567163 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:26.378359890 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:26.404328824 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:28.123263289 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {6,512} for output 683
2024-09-02 11:11:28.317390753 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683
2024-09-02 11:11:29.521775237 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683
2024-09-02 11:11:29.701053056 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683
2024-09-02 11:11:30.530752974 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:30.899817085 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683
2024-09-02 11:11:31.367168670 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:31.831852909 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:32.165905916 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:32.731809280 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:33.091296833 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:33.880740462 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:36.364525111 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:36.545587389 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:37.462788580 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683
2024-09-02 11:11:38.570564694 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:38.641351629 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:39.647968790 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683
2024-09-02 11:11:39.920819785 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683

I know enough about ML to know what the problem is, but not why it is happening since I assume everybody uses this default model. I didnt change any of the default settings regarding ML.

The OS that Immich Server is running on

Ubuntu 19.04.6 LTS

Version of Immich Server

v1.113

Version of Immich Mobile App

non applicable

Platform with the issue

  • Server
  • Web
  • Mobile

Your docker-compose.yml content

#
  2 # WARNING: Make sure to use the docker-compose.yml of the current release:
  3 #
  4 # https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
  5 #
  6 # The compose file on main may not be compatible with the latest release.
  7 #
  8
  9 name: immich
 10
 11 services:
 12   immich-server:
 13     container_name: immich_server
 14     privileged: true
 15     image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
 16     # extends:
 17     #   file: hwaccel.transcoding.yml
 18     #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
 19     volumes:
 20       - ${UPLOAD_LOCATION}:/usr/src/app/upload
 21       - /etc/localtime:/etc/localtime:ro
 22     env_file:
 23       - .env
 24     ports:
 25       - 8161:3001
 26     depends_on:
 27       - redis
 28       - database
 29     restart: always
 30
 31   immich-machine-learning:
 32     container_name: immich_machine_learning
 33     security_opt:
 34       - seccomp:unconfined
 35     # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
 36     # Example tag: ${IMMICH_VERSION:-release}-cuda
 37     image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
 38     # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
 39     #   file: hwaccel.ml.yml
 40     #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
 41     volumes:
 42       - model-cache:/cache
 43     env_file:
 44       - .env
 45     restart: always
 46
 47   redis:
 48     container_name: immich_redis
 49     image: docker.io/redis:6.2-alpine@sha256:328fe6a5822256d065debb36617a8169dbfbd77b797c525288e465f56c1d392b
 50     healthcheck:
 51       test: redis-cli ping || exit 1
 52     restart: always
 53
 54   database:
 55     container_name: immich_postgres
 56     image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
 57     security_opt:
 58       - seccomp:unconfined
 59     environment:
 60       POSTGRES_PASSWORD: ${DB_PASSWORD}
 61       POSTGRES_USER: ${DB_USERNAME}
 62       POSTGRES_DB: ${DB_DATABASE_NAME}
 63       POSTGRES_INITDB_ARGS: '--data-checksums'
 64     volumes:
 65       - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
 66     healthcheck:
 67       test: pg_isready --dbname='${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    "; [ "$$Chksum" = '0' ] || exit 1
 68     command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
 69     restart: always
 70
 71 volumes:
 72   model-cache:



### Your .env content

```Shell
1 # You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables
 2
 3 # The location where your uploaded files are stored
 4 UPLOAD_LOCATION=./library
 5 # The location where your database files are stored
 6 DB_DATA_LOCATION=./postgres
 7
 8 # To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
 9 # TZ=Etc/UTC
10
11 # The Immich version to use. You can pin this to a specific version like "v1.71.0"
12 IMMICH_VERSION=release
13
14 # Connection secret for postgres. You should change it to a random password
15 DB_PASSWORD=**
16
17 # The values below this line do not need to be changed
18 ###################################################################################
19 DB_USERNAME=postgres
20 DB_DATABASE_NAME=immich



### Reproduction steps

1. Go to jobs
2. Turn on face detection
3. Check logs, 
4. Numbers keep decreasing in the jobs tab, but no results are being generated. 
...


### Relevant log output

_No response_

### Additional information

_No response_
Originally created by @Webrow on GitHub (Sep 2, 2024). ### The bug I was using the 1.09 version before upgrading in which I had **not** turned machine learning on. My machine learning server had an issue with openBLAS not being allowed multiple threads, so I used the "opt-security" priviliged setting for that in the docker compose. I went to jobs and clicked run all. Looking at the logs file of the ML container I get the following output continiously ``` 2024-09-02 11:11:00.881613426 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:02.180080903 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:02.322959747 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683 2024-09-02 11:11:03.180117114 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:03.280537676 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:04.344415389 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:05.226606656 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:05.799214362 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:07.552269746 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683 2024-09-02 11:11:07.792963316 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:09.754034963 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683 2024-09-02 11:11:10.764368678 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {6,512} for output 683 2024-09-02 11:11:10.813287722 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:11.940279203 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:11.978081636 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:13.303886994 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:14.150040267 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683 2024-09-02 11:11:15.509054157 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:16.031306946 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:16.672024857 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:17.850123084 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683 2024-09-02 11:11:18.116726508 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683 2024-09-02 11:11:19.743661668 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {6,512} for output 683 2024-09-02 11:11:19.826529388 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683 2024-09-02 11:11:20.974636550 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:21.047272423 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:21.847070020 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:25.230369980 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:25.251567163 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:26.378359890 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:26.404328824 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:28.123263289 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {6,512} for output 683 2024-09-02 11:11:28.317390753 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {5,512} for output 683 2024-09-02 11:11:29.521775237 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683 2024-09-02 11:11:29.701053056 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683 2024-09-02 11:11:30.530752974 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:30.899817085 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {4,512} for output 683 2024-09-02 11:11:31.367168670 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:31.831852909 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:32.165905916 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:32.731809280 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:33.091296833 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:33.880740462 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:36.364525111 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:36.545587389 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:37.462788580 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 2024-09-02 11:11:38.570564694 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:38.641351629 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:39.647968790 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {2,512} for output 683 2024-09-02 11:11:39.920819785 [W:onnxruntime:, execution_frame.cc:870 VerifyOutputSizes] Expected shape from model of {1,512} does not match actual shape of {3,512} for output 683 ``` I know enough about ML to know what the problem is, but not why it is happening since I assume everybody uses this default model. I didnt change any of the default settings regarding ML. ### The OS that Immich Server is running on Ubuntu 19.04.6 LTS ### Version of Immich Server v1.113 ### Version of Immich Mobile App non applicable ### Platform with the issue - [X] Server - [X] Web - [ ] Mobile ### Your docker-compose.yml content ```YAML # 2 # WARNING: Make sure to use the docker-compose.yml of the current release: 3 # 4 # https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml 5 # 6 # The compose file on main may not be compatible with the latest release. 7 # 8 9 name: immich 10 11 services: 12 immich-server: 13 container_name: immich_server 14 privileged: true 15 image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release} 16 # extends: 17 # file: hwaccel.transcoding.yml 18 # service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding 19 volumes: 20 - ${UPLOAD_LOCATION}:/usr/src/app/upload 21 - /etc/localtime:/etc/localtime:ro 22 env_file: 23 - .env 24 ports: 25 - 8161:3001 26 depends_on: 27 - redis 28 - database 29 restart: always 30 31 immich-machine-learning: 32 container_name: immich_machine_learning 33 security_opt: 34 - seccomp:unconfined 35 # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag. 36 # Example tag: ${IMMICH_VERSION:-release}-cuda 37 image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release} 38 # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration 39 # file: hwaccel.ml.yml 40 # service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable 41 volumes: 42 - model-cache:/cache 43 env_file: 44 - .env 45 restart: always 46 47 redis: 48 container_name: immich_redis 49 image: docker.io/redis:6.2-alpine@sha256:328fe6a5822256d065debb36617a8169dbfbd77b797c525288e465f56c1d392b 50 healthcheck: 51 test: redis-cli ping || exit 1 52 restart: always 53 54 database: 55 container_name: immich_postgres 56 image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0 57 security_opt: 58 - seccomp:unconfined 59 environment: 60 POSTGRES_PASSWORD: ${DB_PASSWORD} 61 POSTGRES_USER: ${DB_USERNAME} 62 POSTGRES_DB: ${DB_DATABASE_NAME} 63 POSTGRES_INITDB_ARGS: '--data-checksums' 64 volumes: 65 - ${DB_DATA_LOCATION}:/var/lib/postgresql/data 66 healthcheck: 67 test: pg_isready --dbname='${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 "; [ "$$Chksum" = '0' ] || exit 1 68 command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"] 69 restart: always 70 71 volumes: 72 model-cache: ``` ``` ### Your .env content ```Shell 1 # You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables 2 3 # The location where your uploaded files are stored 4 UPLOAD_LOCATION=./library 5 # The location where your database files are stored 6 DB_DATA_LOCATION=./postgres 7 8 # To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List 9 # TZ=Etc/UTC 10 11 # The Immich version to use. You can pin this to a specific version like "v1.71.0" 12 IMMICH_VERSION=release 13 14 # Connection secret for postgres. You should change it to a random password 15 DB_PASSWORD=** 16 17 # The values below this line do not need to be changed 18 ################################################################################### 19 DB_USERNAME=postgres 20 DB_DATABASE_NAME=immich ``` ``` ### Reproduction steps 1. Go to jobs 2. Turn on face detection 3. Check logs, 4. Numbers keep decreasing in the jobs tab, but no results are being generated. ... ### Relevant log output _No response_ ### Additional information _No response_
OVERLORD commented 2026-02-05 09:51:50 +03:00
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@bo0tzz commented on GitHub (Sep 2, 2024):

Those logs are just a warning and don't provide any impediment to the ML process. Are you actually seeing issues with the results not working?

@bo0tzz commented on GitHub (Sep 2, 2024): Those logs are just a warning and don't provide any impediment to the ML process. Are you actually seeing issues with the results not working?
OVERLORD commented 2026-02-05 09:51:52 +03:00
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@Webrow commented on GitHub (Sep 2, 2024):

According to the FAQ I should see faces at some point at explore. I do not see any faces over there. Should I wait for the complete job to be done processing? Or should it generate intermidiate results?

@Webrow commented on GitHub (Sep 2, 2024): According to the FAQ I should see faces at some point at explore. I do not see any faces over there. Should I wait for the complete job to be done processing? Or should it generate intermidiate results?
OVERLORD commented 2026-02-05 09:51:54 +03:00
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@bo0tzz commented on GitHub (Sep 2, 2024):

Yes, you'll need to wait for the jobs to finish.

@bo0tzz commented on GitHub (Sep 2, 2024): Yes, you'll need to wait for the jobs to finish.
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Reference: immich-app/immich#4201
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