[Python] How can I run DeepFace in a docker container on a mac?

I am trying to install deepface in docker container to do image comparison and I am close to getting it to run... however, I think I am probably missing dependencies... but cannot figure out which ones I need.

In my main.py... If I comment this line out the app starts up and runs... when I uncomment it hangs

from deepface import DeepFace

I am running on a mac book with Docker desktop installed and using VS Code. (latest version for all)

.devcontainer/devcontainer.json

{
"name": "AI Devcontainer",
"dockerComposeFile": "../docker-compose.yml",
"service": "rp",
"workspaceFolder": "/usr/src/app",
"postCreateCommand": "pip install -r requirements.txt"
}



./docker-compose.yml

services:
rp:
container_name: ai
platform: linux/amd64
build: .
command: sleep infinity
networks:
- RP
volumes:
- .:/usr/src/app
ports:
- '8000:8000'

networks:
RP:
external: true


./Dockerfile

# Use the official Python image from the DockerHub
FROM python:3.9-slim

# Set the working directory in the container
WORKDIR /app

# Install system dependencies required for DeepFace
# Update package list and install dependencies
RUN apt update && apt install -y \
tzdata \
libgl1-mesa-glx \
libegl1-mesa \
libxrandr2 \
libxss1 \
libxcursor1 \
libxcomposite1 \
libasound2 \
libxi6 \
libxtst6 \
curl \
ffmpeg \
git \
nano \
gnupg2 \
libsm6 \
wget \
unzip \
libxcb-icccm4 \
libxkbcommon-x11-0 \
libxcb-keysyms1 \
libxcb-render0 \
libxcb-render-util0 \
libxcb-image0 \
python3 \
python3-pip

# Install required Qt and X11 libraries
RUN apt update && apt install -y \
libx11-xcb1 \
libxcb1 \
libxcomposite1 \
libxkbcommon-x11-0 \
libxkbcommon0 \
libxcb-cursor0 \
libxcb-shape0 \
libxcb-shm0 \
libxcb-sync1 \
libxcb-xfixes0 \
libxcb-xinerama0 \
libxcb-xinput0 \
libxcb-xkb1


# Upgrade pip and install required Python packages
RUN python -m pip install --upgrade pip
RUN python -m pip install \
onnxruntime==1.15.1 \
numpy==1.21.6 \
h5py \
numexpr \
protobuf==3.20.2 \
opencv-python==4.8.0.74 \
opencv-contrib-python==4.8.0.74 \
pyqt6==6.5.1 \
onnx==1.14.0 \
torch==1.13.1 \
torchvision==0.14.1


# Install dependencies
COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of the application code into the container
COPY . .

# Expose port 8000 for the FastAPI app
EXPOSE 8000

# Command to run FastAPI with Uvicorn
CMD ["sleep", "infinity"]


./requirements.txt

fastapi
uvicorn
requests

deepface
flask
numpy
pandas
tensorflow-cpu
gunicorn
pillow
opencv-python


I load the devcontainer in VS Code, the container builds and I see this in Docker desktop



I execute `` the container spits out this and then hangs

root@1f6928173e34:/usr/src/app# uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
INFO: Will watch for changes in these directories: ['/usr/src/app']
INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
INFO: Started reloader process [1104] using StatReload
INFO:numexpr.utils:NumExpr defaulting to 8 threads.


main.py

import logging
logging.basicConfig(level=logging.DEBUG)

from fastapi import FastAPI, HTTPException
import uvicorn
import base64
from typing import List, Dict, Union

# THIS IS THE LINE THAT IS CAUSING ISSUES
# If I comment it out... the app starts up and runs... uncomment it hangs
from deepface import DeepFace


app = FastAPI(title="RP AI Documentation", docs_url="/api-docs")

@app.on_event("startup")
async def startup_event():
print("Starting up...")
# Simulate any heavy lifting during startup if needed
print("Startup finished!")

if __name__ == "__main__":
print("Starting app...")
uvicorn.run(app, host="0.0.0.0", port=8000)
print("App started!")

# Function to process the images and perform the comparison using DeepFace
def process_and_compare_images(images: List[Dict[str, Union[str, int]]]) -> bool:
match = none
return match


@app.post("/compare", tags=["AI"])
def compare(images: List[Dict[str, Union[str, int]]]):
try:
# Call the function to process images and compare
match_result = {}
match_result = process_and_compare_images(images)

# If match is None or an unexpected outcome, handle it gracefully
if match_result is None:
return {"match_results": "No comparison was made."}
return {"match_results": match_result}

except HTTPException as e:
raise e
except Exception as e:
raise HTTPException(status_code=500, detail=f"Unexpected error: {str(e)}")



I also looked up this:

Use the Latest TensorFlow Version with the tensorflow-cpu Package

Ensure you’re installing the latest TensorFlow CPU version, which should automatically be compiled without AVX support.

TRY 1

Put this in Dockerfile

# Use the official Python image from the DockerHub
FROM python:3.9-slim
FROM serengil/deepface


Ran this:

uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload


got this:

INFO: Will watch for changes in these directories: ['/usr/src/app']
INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
INFO: Started reloader process [521] using StatReload
INFO: Started server process [523]
INFO: Waiting for application startup.
Starting up...
Startup finished!


Uncommented this line from deepface import DeepFace in main.py

got this:

WARNING: StatReload detected changes in 'app/main.py'. Reloading...
INFO: Shutting down
INFO: Waiting for application shutdown.
INFO: Application shutdown complete.
INFO: Finished server process [523]
The TensorFlow library was compiled to use AVX instructions, but these aren't available on your machine.

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