How to pull the images named 'humansignal/yolo:v0' at yolo/docker-compose

[Lyn4ever29]

when I run docker-compose up ,there is an error

Error response from daemon: pull access denied for humansignal/yolo, repository does not exist or may require 'docker login'

the docker-compose.yaml is below:

version: "3.8"

services:
  yolo:
    container_name: yolo
    image: humansignal/yolo:v0
    build:
      context: .
      args:
        TEST_ENV: ${TEST_ENV}
    environment:
      # specify these parameters if you want to use basic auth for the model server
      - BASIC_AUTH_USER=
      - BASIC_AUTH_PASS=
      # set the log level for the model server
      - LOG_LEVEL=DEBUG
      # any other parameters that you want to pass to the model server
      - ANY=PARAMETER
      # specify the number of workers and threads for the model server
      - WORKERS=1
      - THREADS=8
      # specify the model directory (likely you don't need to change this)
      - MODEL_DIR=/data/models
      - PYTHONPATH=/app

      # Specify the Label Studio URL and API key to access
      # uploaded, local storage and cloud storage files.
      # Do not use 'localhost' or '127.0.0.1' as it does not work within Docker containers.
      # Use prefix 'http://' or 'https://' for the URL always.
      # Determine the actual IP using 'ifconfig' (Linux/Mac) or 'ipconfig' (Windows).
      # or you can try http://host.docker.internal:<label-studio-port> if you run LS on the same machine
      - LABEL_STUDIO_URL=http://host.docker.internal:8080
      - LABEL_STUDIO_API_KEY=

      # YOLO parameters

      # Allow to use custom `model_path` in labeling configurations
      - ALLOW_CUSTOM_MODEL_PATH=true
      # Show matplotlib debug plot for YOLO predictions
      - DEBUG_PLOT=false
      # Default score threshold, which is used to filter out low-confidence predictions,
      # you can change it in the labeling configuration using `model_score_threshold` parameter in the control tags
      - MODEL_SCORE_THRESHOLD=0.5
      # Model root directory, where the YOLO model files are stored
      - MODEL_ROOT=/app/models
    ports:
      - "9090:9090"
    volumes:
      - "./data/server:/data"
      - "./models:/app/models"
      - "./cache_dir:/app/cache_dir"

[mzizzi]

If the image is no longer on dockerhub then you will have to build the container image. The example has a dockerfile that you can use for this. Try removing the image key from the services def and let docker-compose build the image locally. e.g.

services:
  yolo:
    container_name: yolo
    build:
      context: .
      args:
        TEST_ENV: ${TEST_ENV}

docker compose up --build will build the image before starting the service.

[Lyn4ever29]

Okay, thank you for the explanation. The issue has been resolved. It was due to my limited understanding of Docker. I appreciate your patient assistance.

…

---- Replied Message ---- | From | ***@***.***> | | Date | 03/15/2025 22:45 | | To | ***@***.***> | | Cc | ***@***.***>***@***.***> | | Subject | Re: [HumanSignal/label-studio-ml-backend] How to pull the images named 'humansignal/yolo:v0' at yolo/docker-compose (Issue #723) | Remove the image key from the services def and let docker-compose build the image locally. services: yolo: container_name: yolo build: context: . args: TEST_ENV: ${TEST_ENV} docker compose up --build will build the image before starting the service. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***> mzizzi left a comment (HumanSignal/label-studio-ml-backend#723) Remove the image key from the services def and let docker-compose build the image locally. services: yolo: container_name: yolo build: context: . args: TEST_ENV: ${TEST_ENV} docker compose up --build will build the image before starting the service. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***>