Docker-Compose Command argument is not working - docker

Question

i am new to Docker and i am starting to understand how it works. I am trying to create a docker-compose.yml file with command as argument in order to override the CMD command in the Dockerfile.
Below is my Dockerfile and the docker-compose.yml file. In this case the CMD in the Dockerfile does not exists so i expect the command in the docker-compose.yml file to run.
Dockerfile:
# For more information, please refer to https://aka.ms/vscode-docker-python
FROM python:3.8-slim
# changing init
ENV TINI_VERSION="v0.19.0"
ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /tini
RUN chmod +x /tini
# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE=1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED=1
# keep pip, setuptools and wheel always updated
RUN pip install -U \
pip \
setuptools \
wheel
# create working directory
WORKDIR /app
# Install requirements
COPY requirements.txt .
RUN python -m pip install -r requirements.txt
RUN python -m pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cpu
# copy everything in the workdir
COPY ./code .
# Creates a non-root user with an explicit UID and adds permission to access the /app folder
# For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers
RUN adduser -u 5678 --disabled-password --gecos "" appuser && chown -R appuser /app
USER appuser
# define entrypoint
ENTRYPOINT ["/tini", "--"]
# During debugging, this entry point will be overridden. For more information, please refer to https://aka.ms/vscode-docker-python-debug
# CMD [ "python", "main.py", "--model_path", "./model_e20_nf112_14122022.pt", "--input_path", "./input_images/", \
# "--output_path", "./output_folder/", "--camera_fps", "1", "--device", "cpu", "--profiler", "True"]
docker-compose.yml file
services:
inference_container:
image: inference
build:
context: ./
networks:
- inference_network
volumes: # link host path to docker container
- ./data/output_images:/app/output_folder
- ./data/profilers:/app/profiler
environment: # permessions for folder
- PUID=1000
- PGID=1000
command: python3 main.py --model_path ./model_e20_nf112_14122022.pt --input_path ./input_images/ --output_path ./output_folder/ --camera_fps 1 --device cpu --profiler True
networks:
# The presence of these objects is sufficient to define them
inference_network:
The output of the main.py script should be different in the case the argument --profiler is True or False.
I build the image with
docker-compose -f docker-compose.yml build --no-cache
in order to start from zero the build, then i create and run the container as
docker-compose up
I started with the case profiler = False, then i changed its value to True and i execute again docker-compose up. However the result is the same even if in the code the change is perceived as you can see below (first print is the value of profiler input).
[+] Running 1/1
Container unibapinferencescript-inference_container-1 Created
Attaching to unibapinferencescript-inference_container-1
unibapinferencescript-inference_container-1 | False
unibapinferencescript-inference_container-1 | Starting Camera Acquisition Process
unibapinferencescript-inference_container-1 | Starting Inference Process
unibapinferencescript-inference_container-1 | Adding Image
unibapinferencescript-inference_container-1 | Retrieving Image for inference
unibapinferencescript-inference_container-1 | Adding Image
unibapinferencescript-inference_container-1 | No more images to acquire
unibapinferencescript-inference_container-1 | Retrieving Image for inference
unibapinferencescript-inference_container-1 | Inference Process terminated
unibapinferencescript-inference_container-1 | Images have been save in ./output_folder/
unibapinferencescript-inference_container-1 exited with code 0
[+] Running 1/1
Container unibapinferencescript-inference_container-1 Created
Attaching to unibapinferencescript-inference_container-1
unibapinferencescript-inference_container-1 | True
unibapinferencescript-inference_container-1 | Starting Camera Acquisition Process
unibapinferencescript-inference_container-1 | Starting Inference Process
unibapinferencescript-inference_container-1 | Adding Image
unibapinferencescript-inference_container-1 | Retrieving Image for inference
unibapinferencescript-inference_container-1 | Adding Image
unibapinferencescript-inference_container-1 | No more images to acquire
unibapinferencescript-inference_container-1 | Retrieving Image for inference
unibapinferencescript-inference_container-1 | Inference Process terminated
unibapinferencescript-inference_container-1 | Images have been save in ./output_folder/
unibapinferencescript-inference_container-1 exited with code 0
Can someone help me to solve this problem?
Thanks in advance

Answer 1

I solved the problem. There was a bug in my code in the script main.py and that's why it was not working when i was changing the parameter in the command. Now it is all working well.
Case with profiler=False
[+] Running 1/1
⠿ Container unibapinferencescript-inference_container-1 Created 0.3s
Attaching to unibapinferencescript-inference_container-1
unibapinferencescript-inference_container-1 | Starting camera acquisition process
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | Starting inference process on cpu
unibapinferencescript-inference_container-1 | Adding image
unibapinferencescript-inference_container-1 | Retrieving image for inference
unibapinferencescript-inference_container-1 | Adding image
unibapinferencescript-inference_container-1 | No more images to acquire. Terminating the camera acquisition process.
unibapinferencescript-inference_container-1 | Camera acquisition process have been shut down. Performing inference on the remaining images in the queue.
unibapinferencescript-inference_container-1 | Retrieving image for inference
unibapinferencescript-inference_container-1 | Inference process on cpu terminated. The inference on 2 images has been performed.
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | The images have been saved in the folder ./output_folder/
unibapinferencescript-inference_container-1 exited with code 0
Case with profiler=True
[+] Running 1/1
⠿ Container unibapinferencescript-inference_container-1 Recreated 0.3s
Attaching to unibapinferencescript-inference_container-1
unibapinferencescript-inference_container-1 | Profiler Enabled
unibapinferencescript-inference_container-1 | Starting camera acquisition process
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | Starting inference process on cpu
unibapinferencescript-inference_container-1 | Adding image
unibapinferencescript-inference_container-1 | Retrieving image for inference
unibapinferencescript-inference_container-1 | Adding image
unibapinferencescript-inference_container-1 | No more images to acquire. Terminating the camera acquisition process.
unibapinferencescript-inference_container-1 | Camera acquisition process have been shut down. Performing inference on the remaining images in the queue.
unibapinferencescript-inference_container-1 | Retrieving image for inference
unibapinferencescript-inference_container-1 | Inference process on cpu terminated. The inference on 2 images has been performed.
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | The images have been saved in the folder ./output_folder/
unibapinferencescript-inference_container-1 | 5438 function calls (5562 primitive calls) in 0.531 seconds
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | Random listing order was used
unibapinferencescript-inference_container-1 | List reduced from 311 to 1 due to restriction <'inference_cpu'>
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | ncalls tottime percall cumtime percall filename:lineno(function)
unibapinferencescript-inference_container-1 | 1 0.447 0.447 80.468 80.468 Queue_functions.py:37(inference_cpu)
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | 5438 function calls (5562 primitive calls) in 0.531 seconds
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | Random listing order was used
unibapinferencescript-inference_container-1 | List reduced from 311 to 1 due to restriction <'TorchClasses'>
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | ncalls tottime percall cumtime percall filename:lineno(function)
unibapinferencescript-inference_container-1 | 2 0.004 0.002 79.007 39.504 TorchClasses.py:62(UNet.forward)
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | 5438 function calls (5562 primitive calls) in 0.531 seconds
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | Random listing order was used
unibapinferencescript-inference_container-1 | List reduced from 311 to 1 due to restriction <'camera_acquisition'>
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 | ncalls tottime percall cumtime percall filename:lineno(function)
unibapinferencescript-inference_container-1 | 1 0.000 0.000 0.031 0.031 Queue_functions.py:8(camera_acquisition)
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 |
unibapinferencescript-inference_container-1 exited with code 0