[Bug]: "Description of tracked object" field on face library doesnt accept the "a" character

[SalazarBruno]

Checklist

• I have updated to the latest available Frigate version.
• I have cleared the cache of my browser.
• I have tried a different browser to see if it is related to my browser.
• I have tried reproducing the issue in incognito mode to rule out problems with any third party extensions or plugins I have installed.
• I have asked the AI at https://docs.frigate.video about my issue.

Describe the problem you are having

When I go to face library, train, click on an unrecognized person and try to write into the "description of tracked object", the field doesnt accept the "a" character.... the A (capital a) is OK, but when i press the a, nothing happens. Obviously my keyboard is OK, tested in chrome and firefox, with the same results. If you go to explore and try to do the same with any event, the "a" character is ok. Weird.

Steps to reproduce

1. go to face library
2. click on any unknown person on train section
   3.try to fill the "description of tracked object field with the a letter.

Version

0.16.1-e664cb2

In which browser(s) are you experiencing the issue with?

No response

Frigate config file

mqtt:
  host: mosquitto.XXXXXXXXXX
  port: 1883
  topic_prefix: frigate
  client_id: XXXXX
  user: XXXXX
  password: XXXXXX

# ---OpenVINO Detector  
#detectors:
#  ov:
#    type: openvino
#    device: CPU
#    model:
#      path: /openvino-model/FP16/ssdlite_mobilenet_v2.xml
#
#model:
#  width: 300
#  height: 300
#  input_tensor: nhwc
#  input_pixel_format: bgr
#  labelmap_path: /openvino-model/coco_91cl_bkgr.txt

detectors:
  coral:
    type: edgetpu
    device: usb

audio:
  enabled: true
  listen:
    - fire_alarm
    - scream
    - speech
    - yell
    - crying
    - car_alarm
    - emergency_vehicle
    - police_car
    - ambulance

cameras:
  1-Rua:
    enabled: true
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXXXXXXXXX
          roles:
            - detect
            - audio
        - path: 
            rtsp://XXXXXXXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person

# camera que apagava no escuro
  4-Fundos:
    enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://XXXXXXXX
          roles:
            - detect
            - audio
        - path: rtsp://XXXXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
#        - car
#        - motorcycle
#        - cat
#        - dog
#        - knife
  5-Entrada-Bruno:
    enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://XXXXXXX
          roles:
            - detect
            - audio
        - path: rtsp://XXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
#        - car
#        - motorcycle
#        - cat
#        - dog
#        - knife
  6-Escada-Bruno:
    enabled: true
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXXXXXXX
          roles:
            - detect
            - audio
        - path: 
            rtsp://XXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
#        - cat
#        - dog
#        - knife
  3-Garagem:
    enabled: true
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXXXXXXXX
          roles:
            - detect
            - audio
        - path: 
            rtsp://XXXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
        - car
        - motorcycle
#        - cat
        - dog
        - knife
  rua1:
    enabled: false
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXXXXXXX
          roles:
            - detect
            - audio
        - path: 
            rtsp://XXXXXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
        - car
        - motorcycle
#        - cat
#        - dog
#        - knife
  7-Fundos-Bruno:
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://XXXXXXXX
          roles:
            - detect
            - audio
        - path: rtsp://XXXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
        - cat
#        - dog
#        - knife
  2-Rua:
    enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://XXXXXXXX
          roles:
            - detect
            - audio
        - path: rtsp://XXXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
        - car
        - motorcycle
#        - cat
#        - dog
#        - knife
    birdseye:
      order: 1
  3-Fundos:
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://XXXXXXX
          roles:
            - detect
            - audio
        - path: rtsp://XXXXXX
          roles:
            - record
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person
        - dog
#        - knife
    birdseye:
      order: 2
  trendnet_cam:
    enabled: false
    ffmpeg:
      inputs:
        - path: XXXXXXXX
          roles:
            - detect
            - record
      input_args:
        - -avoid_negative_ts
        - make_zero
        - -fflags
        - nobuffer
        - -flags
        - low_delay
        - -strict
        - experimental
        - -fflags
        - +genpts+discardcorrupt
        - -r
        - '5' # <---- adjust depending on your desired frame rate from the mjpeg image
        - -use_wallclock_as_timestamps
        - '1'
    audio:
      enabled: false
    detect:
      enabled: true
    record:
      enabled: true
    objects:
      track:
        - person

camera_groups:
  Nira:
    order: 1
    icon: LuHome
    cameras:
      - birdseye
      - 4-Fundos
      - 3-Garagem
      - 2-Rua
      - 1-Rua
      - 8-nova
  Bruno:
    order: 2
    icon: LuCar
    cameras:
      - birdseye
      - 5-Entrada-Bruno
      - 6-Escada-Bruno
      - 7-Fundos-Bruno

face_recognition:
  enabled: true
  model_size: small
lpr:
  enabled: true
detect:
  enabled: true
version: 0.16-0
semantic_search:
  enabled: false
  model_size: small
classification:
  bird:
    enabled: false

docker-compose file or Docker CLI command

services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    stop_grace_period: 30s # allow enough time to shut down the various services
    image: ghcr.io/blakeblackshear/frigate:stable
    shm_size: 512mb # update for your cameras based on calculation above
    devices:
      - /dev/bus/usb:/dev/bus/usb # Passes the USB Coral, needs to be modified for other versions
      #- /dev/apex_0:/dev/apex_0 # Passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
      #- /dev/video11:/dev/video11 # For Raspberry Pi 4B
      - /dev/dri/renderD128:/dev/dri/renderD128 # For intel hwaccel, needs to be updated for your hardware
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /config:/config
      - /storage:/media/frigate
      - type: tmpfs
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ports:
      - 8971:8971
      - 5000:5000 # Internal unauthenticated access. Expose carefully.
      - 8554:8554 # RTSP feeds
      - 8555:8555/tcp # WebRTC over tcp
      - 8555:8555/udp # WebRTC over udp
    environment:
      FRIGATE_RTSP_PASSWORD: XXXXXXXXXX
networks: {}

Relevant Frigate log output

nothing relevant

Relevant go2rtc log output

Nothing relevant

Operating system

Proxmox

Install method

Docker Compose

Network connection

Wired

Camera make and model

various

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

No response

[inkeep-ai-assistant[bot]]

face_recognition:
  enabled: true
  model_size: small

(1)

This is a UI bug that affects the Face Library's description field specifically. The issue appears to be isolated to the lowercase "a" character not registering in the "Description of tracked object" field when working with face recognition in the Train tab (1).

Since this is a browser-independent issue affecting multiple browsers (Chrome and Firefox) and you've confirmed it works correctly in the Explore view for other events, this points to a specific UI component problem in the Face Library interface.

For now, you can work around this by:

• Using uppercase "A" instead of lowercase "a"
• Typing your description in another application and copy/pasting it into the field
• Using the description functionality in the Explore view for tracked objects

This appears to be a frontend input handling issue specific to the Face Library's Train section interface and should be reported as a bug to the Frigate development team.

📚 Sources:

1. Face Recognition

---

Have another question? Just tag @inkeep.

[hawkeye217]

Thanks, this is fixed in #20325