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No faces in the Explore view. Errors in logs for 'immich_microservices' container #2968

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opened 2026-02-05 07:15:13 +03:00 by OVERLORD · 0 comments
OVERLORD commented 2026-02-05 07:15:13 +03:00
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Originally created by @dgtal1 on GitHub (Apr 18, 2024).

The bug

Yesterday I started over with immich. I built the containers using a new docker-compose config file and started indexing my external library. Thumbnails were generated, locations extracted, but there are no faces detected. There's something wrong as when I first started with immich the faces started showing up quite quickly - after an hour or so. In my recent built 16 hours elapsed, but no faces.
I checked the logs and observed errors I did not observe when I ran immich for the first time to preview its features.

The errors in logs show up every once and a while - apparently immich is retrying to process, but fails each time with the same error.

Running containers:
image

Exmplore view - no faces:
image

running jobs:
image

External library:
image

The OS that Immich Server is running on

Windows + Ubuntu WSL

Version of Immich Server

1.101.0

Version of Immich Mobile App

not using

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}
    command: ['start.sh', 'immich']
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
      - "photo:/external_originals/photo:ro"
    env_file:
      - .env
    ports:
      - 2283:3001
    depends_on:
      - redis
      - database
    restart: always

  immich-microservices:
    container_name: immich_microservices
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/hardware-transcoding
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    command: ['start.sh', 'microservices']
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
      - "photo:/external_originals/photo:ro"
    env_file:
      - .env
    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: 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"  #- model-cache:/cache
    env_file:
      - .env
    restart: always

  redis:
    container_name: immich_redis
    image: registry.hub.docker.com/library/redis:6.2-alpine@sha256:51d6c56749a4243096327e3fb964a48ed92254357108449cb6e23999c37773c5
    restart: always

  database:
    container_name: immich_postgres
    image: registry.hub.docker.com/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
    volumes:      
      - "./db_data:/var/lib/postgresql/data"    # - pgdata:/var/lib/postgresql/data
    restart: always

volumes:
  # pgdata:   
  #model-cache:

  photo: 
    driver_opts: 
      type: cifs 
      o: "username=photoprism,password=[**REDACTED**]),vers=3.0" 
      device: "//192.168.0.13/photo"

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 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**]

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

REDIS_HOSTNAME=immich_redis

Reproduction steps

1. start containers with docker compose
2. add external library
3. add import paths
4. start indexing
5. no faces detected, errors in logs as provided
...

Relevant log output

2024-04-18 08:16:55 [Nest] 7  - 04/18/2024, 6:16:55 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset 6ba7a3b6-cf81-4a12-a4bf-17ca6d8db038
2024-04-18 08:16:56 [Nest] 7  - 04/18/2024, 6:16:56 AM   ERROR [JobService] Unable to run job handler (faceDetection/face-detection): Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE
2024-04-18 08:16:56 [Nest] 7  - 04/18/2024, 6:16:56 AM   ERROR [JobService] Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE
2024-04-18 08:16:56     at /usr/src/app/dist/repositories/machine-learning.repository.js:19:19
2024-04-18 08:16:56     at async MachineLearningRepository.predict (/usr/src/app/dist/repositories/machine-learning.repository.js:18:21)
2024-04-18 08:16:56     at async PersonService.handleDetectFaces (/usr/src/app/dist/services/person.service.js:258:23)
2024-04-18 08:16:56     at async /usr/src/app/dist/services/job.service.js:147:36
2024-04-18 08:16:56     at async Worker.processJob (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:394:28)
2024-04-18 08:16:56     at async Worker.retryIfFailed (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:581:24)
2024-04-18 08:16:56 [Nest] 7  - 04/18/2024, 6:16:56 AM   ERROR [JobService] Object:
2024-04-18 08:16:56 {
2024-04-18 08:16:56   "id": "7bb88a71-190d-42ed-8b30-cf2c28d017c5",
2024-04-18 08:16:56   "source": "upload"
2024-04-18 08:16:56 }
2024-04-18 08:16:56 
2024-04-18 08:16:58 [Nest] 7  - 04/18/2024, 6:16:58 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset b6084915-e4aa-4c1e-9cff-f8a33d537da9
2024-04-18 08:16:58 [Nest] 7  - 04/18/2024, 6:16:58 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset a4eb0b7c-17d7-488d-a527-9c84c1f98f6f
2024-04-18 08:16:58 [Nest] 7  - 04/18/2024, 6:16:58 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset 7cb5e1ed-a648-494e-badd-25ed3716945a
2024-04-18 08:16:58 [Nest] 7  - 04/18/2024, 6:16:58 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset 7eed246c-7934-4b39-9850-cbe0453c582e
2024-04-18 08:17:00 [Nest] 7  - 04/18/2024, 6:17:00 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset c0633b69-e320-479d-ba93-1fe15fa4d9c5
2024-04-18 08:17:00 [Nest] 7  - 04/18/2024, 6:17:00 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset 5fab4d7a-ae42-4edf-9a70-c059b5851124
2024-04-18 08:17:00 [Nest] 7  - 04/18/2024, 6:17:00 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset d98bf0be-cf17-4a3b-99b2-f97c5479e5c4
2024-04-18 08:17:01 [Nest] 7  - 04/18/2024, 6:17:01 AM     LOG [MediaService] Successfully generated WEBP image thumbnail for asset 2ef3a6ef-af04-4778-817b-9233ee0100d3
2024-04-18 08:17:01 [Nest] 7  - 04/18/2024, 6:17:01 AM   ERROR [JobService] Unable to run job handler (smartSearch/smart-search): Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE
2024-04-18 08:17:01 [Nest] 7  - 04/18/2024, 6:17:01 AM   ERROR [JobService] Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE
2024-04-18 08:17:01     at /usr/src/app/dist/repositories/machine-learning.repository.js:19:19
2024-04-18 08:17:01     at async MachineLearningRepository.predict (/usr/src/app/dist/repositories/machine-learning.repository.js:18:21)
2024-04-18 08:17:01     at async SmartInfoService.handleEncodeClip (/usr/src/app/dist/services/smart-info.service.js:80:31)
2024-04-18 08:17:01     at async /usr/src/app/dist/services/job.service.js:147:36
2024-04-18 08:17:01     at async Worker.processJob (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:394:28)
2024-04-18 08:17:01     at async Worker.retryIfFailed (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:581:24)
2024-04-18 08:17:01 [Nest] 7  - 04/18/2024, 6:17:01 AM   ERROR [JobService] Object:
2024-04-18 08:17:01 {
2024-04-18 08:17:01   "id": "a3d17324-73fb-4ce6-915d-d82df5e7784d",
2024-04-18 08:17:01   "source": "upload"
2024-04-18 08:17:01 }
2024-04-18 08:17:01

Additional information

machine_learning container logs:

2024-04-17 19:05:07 [04/17/24 17:05:07] INFO     Starting gunicorn 21.2.0                           
2024-04-17 19:05:07 [04/17/24 17:05:07] INFO     Listening at: http://[::]:3003 (9)                 
2024-04-17 19:05:07 [04/17/24 17:05:07] INFO     Using worker: app.config.CustomUvicornWorker       
2024-04-17 19:05:07 [04/17/24 17:05:07] INFO     Booting worker with pid: 13                        
2024-04-17 19:05:11 [04/17/24 17:05:11] INFO     Started server process [13]                        
2024-04-17 19:05:11 [04/17/24 17:05:11] INFO     Waiting for application startup.                   
2024-04-17 19:05:11 [04/17/24 17:05:11] INFO     Created in-memory cache with unloading after 300s  
2024-04-17 19:05:11                              of inactivity.                                     
2024-04-17 19:05:11 [04/17/24 17:05:11] INFO     Initialized request thread pool with 4 threads.    
2024-04-17 19:05:11 [04/17/24 17:05:11] INFO     Application startup complete.                      
2024-04-17 19:06:50 [04/17/24 17:06:50] INFO     Setting 'ViT-B-32__openai' execution providers to  
2024-04-17 19:06:50                              ['CPUExecutionProvider'], in descending order of   
2024-04-17 19:06:50                              preference                                         
2024-04-17 19:06:50 [04/17/24 17:06:50] INFO     Downloading clip model 'ViT-B-32__openai'. This may
2024-04-17 19:06:50                              take a while.                                      
2024-04-17 19:06:50 [04/17/24 17:06:50] INFO     Setting 'buffalo_l' execution providers to         
2024-04-17 19:06:50                              ['CPUExecutionProvider'], in descending order of   
2024-04-17 19:06:50                              preference                                         
2024-04-17 19:07:59 [04/17/24 17:07:59] INFO     Loading clip model 'ViT-B-32__openai' to memory    
2024-04-17 19:08:03 [04/17/24 17:08:03] INFO     Downloading facial recognition model 'buffalo_l'.  
2024-04-17 19:08:03                              This may take a while.                             
2024-04-17 19:08:26 [04/17/24 17:08:26] INFO     Loading facial recognition model 'buffalo_l' to    
Fetching 11 files: 100%|██████████| 11/11 [01:07<00:00,  6.15s/it]
Fetching 4 files: 100%|██████████| 4/4 [00:22<00:00,  5.59s/it]
2024-04-17 19:08:26                              memory                                             
2024-04-18 07:09:49 [04/18/24 05:09:48] INFO     Setting 'ViT-B-32__openai' execution providers to  
2024-04-18 07:09:49                              ['CPUExecutionProvider'], in descending order of   
2024-04-18 07:09:49                              preference                                         
2024-04-18 07:09:49 [04/18/24 05:09:49] INFO     Loading clip model 'ViT-B-32__openai' to memory

nothing more.

No response

Originally created by @dgtal1 on GitHub (Apr 18, 2024). ### The bug Yesterday I started over with immich. I built the containers using a new docker-compose config file and started indexing my external library. Thumbnails were generated, locations extracted, but there are no faces detected. There's something wrong as when I first started with immich the faces started showing up quite quickly - after an hour or so. In my recent built 16 hours elapsed, but no faces. I checked the logs and observed errors I did not observe when I ran immich for the first time to preview its features. The errors in logs show up every once and a while - apparently immich is retrying to process, but fails each time with the same error. Running containers: ![image](https://github.com/immich-app/immich/assets/27864579/709ed0c2-42d5-44d2-a57e-aae167336ef7) Exmplore view - no faces: ![image](https://github.com/immich-app/immich/assets/27864579/0c1cccd1-bb86-402c-8125-905e8552800c) running jobs: ![image](https://github.com/immich-app/immich/assets/27864579/bfd9de70-aee0-4a44-8016-f4e1f6e46545) External library: ![image](https://github.com/immich-app/immich/assets/27864579/73db205a-ce52-461d-8147-fa72a49279d2) ### The OS that Immich Server is running on Windows + Ubuntu WSL ### Version of Immich Server 1.101.0 ### Version of Immich Mobile App not using ### 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} command: ['start.sh', 'immich'] volumes: - ${UPLOAD_LOCATION}:/usr/src/app/upload - /etc/localtime:/etc/localtime:ro - "photo:/external_originals/photo:ro" env_file: - .env ports: - 2283:3001 depends_on: - redis - database restart: always immich-microservices: container_name: immich_microservices image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release} # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/hardware-transcoding # file: hwaccel.transcoding.yml # service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding command: ['start.sh', 'microservices'] volumes: - ${UPLOAD_LOCATION}:/usr/src/app/upload - /etc/localtime:/etc/localtime:ro - "photo:/external_originals/photo:ro" env_file: - .env 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: 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" #- model-cache:/cache env_file: - .env restart: always redis: container_name: immich_redis image: registry.hub.docker.com/library/redis:6.2-alpine@sha256:51d6c56749a4243096327e3fb964a48ed92254357108449cb6e23999c37773c5 restart: always database: container_name: immich_postgres image: registry.hub.docker.com/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0 environment: POSTGRES_PASSWORD: ${DB_PASSWORD} POSTGRES_USER: ${DB_USERNAME} POSTGRES_DB: ${DB_DATABASE_NAME} volumes: - "./db_data:/var/lib/postgresql/data" # - pgdata:/var/lib/postgresql/data restart: always volumes: # pgdata: #model-cache: photo: driver_opts: type: cifs o: "username=photoprism,password=[**REDACTED**]),vers=3.0" device: "//192.168.0.13/photo" ``` ### 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 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**] # The values below this line do not need to be changed ################################################################################### DB_HOSTNAME=immich_postgres DB_USERNAME=immich DB_DATABASE_NAME=immich REDIS_HOSTNAME=immich_redis ``` ### Reproduction steps ```bash 1. start containers with docker compose 2. add external library 3. add import paths 4. start indexing 5. no faces detected, errors in logs as provided ... ``` ### Relevant log output ```shell 2024-04-18 08:16:55 [Nest] 7 - 04/18/2024, 6:16:55 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset 6ba7a3b6-cf81-4a12-a4bf-17ca6d8db038 2024-04-18 08:16:56 [Nest] 7 - 04/18/2024, 6:16:56 AM ERROR [JobService] Unable to run job handler (faceDetection/face-detection): Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE 2024-04-18 08:16:56 [Nest] 7 - 04/18/2024, 6:16:56 AM ERROR [JobService] Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE 2024-04-18 08:16:56 at /usr/src/app/dist/repositories/machine-learning.repository.js:19:19 2024-04-18 08:16:56 at async MachineLearningRepository.predict (/usr/src/app/dist/repositories/machine-learning.repository.js:18:21) 2024-04-18 08:16:56 at async PersonService.handleDetectFaces (/usr/src/app/dist/services/person.service.js:258:23) 2024-04-18 08:16:56 at async /usr/src/app/dist/services/job.service.js:147:36 2024-04-18 08:16:56 at async Worker.processJob (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:394:28) 2024-04-18 08:16:56 at async Worker.retryIfFailed (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:581:24) 2024-04-18 08:16:56 [Nest] 7 - 04/18/2024, 6:16:56 AM ERROR [JobService] Object: 2024-04-18 08:16:56 { 2024-04-18 08:16:56 "id": "7bb88a71-190d-42ed-8b30-cf2c28d017c5", 2024-04-18 08:16:56 "source": "upload" 2024-04-18 08:16:56 } 2024-04-18 08:16:56 2024-04-18 08:16:58 [Nest] 7 - 04/18/2024, 6:16:58 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset b6084915-e4aa-4c1e-9cff-f8a33d537da9 2024-04-18 08:16:58 [Nest] 7 - 04/18/2024, 6:16:58 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset a4eb0b7c-17d7-488d-a527-9c84c1f98f6f 2024-04-18 08:16:58 [Nest] 7 - 04/18/2024, 6:16:58 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset 7cb5e1ed-a648-494e-badd-25ed3716945a 2024-04-18 08:16:58 [Nest] 7 - 04/18/2024, 6:16:58 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset 7eed246c-7934-4b39-9850-cbe0453c582e 2024-04-18 08:17:00 [Nest] 7 - 04/18/2024, 6:17:00 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset c0633b69-e320-479d-ba93-1fe15fa4d9c5 2024-04-18 08:17:00 [Nest] 7 - 04/18/2024, 6:17:00 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset 5fab4d7a-ae42-4edf-9a70-c059b5851124 2024-04-18 08:17:00 [Nest] 7 - 04/18/2024, 6:17:00 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset d98bf0be-cf17-4a3b-99b2-f97c5479e5c4 2024-04-18 08:17:01 [Nest] 7 - 04/18/2024, 6:17:01 AM LOG [MediaService] Successfully generated WEBP image thumbnail for asset 2ef3a6ef-af04-4778-817b-9233ee0100d3 2024-04-18 08:17:01 [Nest] 7 - 04/18/2024, 6:17:01 AM ERROR [JobService] Unable to run job handler (smartSearch/smart-search): Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE 2024-04-18 08:17:01 [Nest] 7 - 04/18/2024, 6:17:01 AM ERROR [JobService] Error: Machine learning request to "http://immich-machine-learning:3003" failed with Error: write EPIPE 2024-04-18 08:17:01 at /usr/src/app/dist/repositories/machine-learning.repository.js:19:19 2024-04-18 08:17:01 at async MachineLearningRepository.predict (/usr/src/app/dist/repositories/machine-learning.repository.js:18:21) 2024-04-18 08:17:01 at async SmartInfoService.handleEncodeClip (/usr/src/app/dist/services/smart-info.service.js:80:31) 2024-04-18 08:17:01 at async /usr/src/app/dist/services/job.service.js:147:36 2024-04-18 08:17:01 at async Worker.processJob (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:394:28) 2024-04-18 08:17:01 at async Worker.retryIfFailed (/usr/src/app/node_modules/bullmq/dist/cjs/classes/worker.js:581:24) 2024-04-18 08:17:01 [Nest] 7 - 04/18/2024, 6:17:01 AM ERROR [JobService] Object: 2024-04-18 08:17:01 { 2024-04-18 08:17:01 "id": "a3d17324-73fb-4ce6-915d-d82df5e7784d", 2024-04-18 08:17:01 "source": "upload" 2024-04-18 08:17:01 } 2024-04-18 08:17:01 ``` ### Additional information `machine_learning` container logs: ``` 2024-04-17 19:05:07 [04/17/24 17:05:07] INFO Starting gunicorn 21.2.0 2024-04-17 19:05:07 [04/17/24 17:05:07] INFO Listening at: http://[::]:3003 (9) 2024-04-17 19:05:07 [04/17/24 17:05:07] INFO Using worker: app.config.CustomUvicornWorker 2024-04-17 19:05:07 [04/17/24 17:05:07] INFO Booting worker with pid: 13 2024-04-17 19:05:11 [04/17/24 17:05:11] INFO Started server process [13] 2024-04-17 19:05:11 [04/17/24 17:05:11] INFO Waiting for application startup. 2024-04-17 19:05:11 [04/17/24 17:05:11] INFO Created in-memory cache with unloading after 300s 2024-04-17 19:05:11 of inactivity. 2024-04-17 19:05:11 [04/17/24 17:05:11] INFO Initialized request thread pool with 4 threads. 2024-04-17 19:05:11 [04/17/24 17:05:11] INFO Application startup complete. 2024-04-17 19:06:50 [04/17/24 17:06:50] INFO Setting 'ViT-B-32__openai' execution providers to 2024-04-17 19:06:50 ['CPUExecutionProvider'], in descending order of 2024-04-17 19:06:50 preference 2024-04-17 19:06:50 [04/17/24 17:06:50] INFO Downloading clip model 'ViT-B-32__openai'. This may 2024-04-17 19:06:50 take a while. 2024-04-17 19:06:50 [04/17/24 17:06:50] INFO Setting 'buffalo_l' execution providers to 2024-04-17 19:06:50 ['CPUExecutionProvider'], in descending order of 2024-04-17 19:06:50 preference 2024-04-17 19:07:59 [04/17/24 17:07:59] INFO Loading clip model 'ViT-B-32__openai' to memory 2024-04-17 19:08:03 [04/17/24 17:08:03] INFO Downloading facial recognition model 'buffalo_l'. 2024-04-17 19:08:03 This may take a while. 2024-04-17 19:08:26 [04/17/24 17:08:26] INFO Loading facial recognition model 'buffalo_l' to Fetching 11 files: 100%|██████████| 11/11 [01:07<00:00, 6.15s/it] Fetching 4 files: 100%|██████████| 4/4 [00:22<00:00, 5.59s/it] 2024-04-17 19:08:26 memory 2024-04-18 07:09:49 [04/18/24 05:09:48] INFO Setting 'ViT-B-32__openai' execution providers to 2024-04-18 07:09:49 ['CPUExecutionProvider'], in descending order of 2024-04-18 07:09:49 preference 2024-04-18 07:09:49 [04/18/24 05:09:49] INFO Loading clip model 'ViT-B-32__openai' to memory ``` nothing more. _No response_
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Reference: immich-app/immich#2968
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Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?