Wie kann ich tiefgreifend in einem Docker -Container auf einem Mac ausführen? ⇐ Python

[Anonymous]

Ich versuche, Deepface im Docker -Container zu installieren, um Bildvergleich durchzuführen, und ich bin kurz davor, ihn zum Laufen zu bringen ... Ich denke jedoch, dass ich wahrscheinlich Abhängigkeiten fehlt ... aber kann nicht herausfinden, welche ich brauche. Deepface
Ich leite in einem Mac -Buch mit installiertem Docker -Desktop aus und verwende VS -Code. (Neueste Version für alle)
.devcontainer/devcontainer.json

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

./docker-compose.yml

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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

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# 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

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fastapi
uvicorn
requests

deepface
flask
numpy
pandas
tensorflow-cpu
gunicorn
pillow
opencv-python
< /code>
Ich lade den DevContainer in vs Code, der Container baut und ich sehe dies in Docker Desktop < /p>

< /code>
Ich führe `` der Container aus und hängt dann < /p>
abroot@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.
< /code>
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)}")

Ich habe auch Folgendes nachgeschlagen:
Verwenden Sie die neueste TensorFlow-Version mit dem TensorFlow-CPU Paket
Stellen Sie sicher, dass Sie die neueste Tensorflow-Version automatisch ohne AVX-Try-Try-Try-Try-Try-Tensorflow-CPU-Version installieren. 1
Stellen Sie dies in Dockerfile
ein

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# Use the official Python image from the DockerHub
FROM python:3.9-slim
FROM serengil/deepface
< /code>
rannte dies: < /p>
uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
< /code>
Erhielt Folgendes: < /p>
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!

Diese Zeile aus Deepface Importieren Sie Deepface in main.py
Habe folgende:

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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.