I have a dockerfile for a Cloud Run app, it has certain idiosincracies that add size to the image,like the fact that i have to “RUN pip uninstall -y opencv-python && pip install –no-cache-dir opencv-python-headless” for the ultralytics package to work. How would you guys suggest optimizing it? My imports are:

import os
from ultralytics import YOLO
import io
import vertexai
from vertexai.preview.generative_models import GenerativeModel
from vertexai.preview.generative_models import Image as ImageVertex
from PIL import Image
from google.cloud import storage
from google.cloud import bigquery
from datetime import datetime, timezone
from google.cloud import storage
from flask import Flask, render_template, request, redirect, url_for, flash, session, jsonify, send_from_directory
from werkzeug.utils import secure_filename

The Dockerfile looks like this:

FROM python:3.12.3-slim

RUN apt-get update && 
    apt-get install -y --no-install-recommends 
        ffmpeg 
        libsm6 
        libxext6 && 
    apt-get clean && 
    rm -rf /var/lib/apt/lists/* && 
    pip install --no-cache-dir 
        numpy 
        pillow && 
    pip install --no-cache-dir 
        ipython
        opencv-python 
        google-cloud-vision  
        google-cloud-aiplatform  
        gunicorn 
        google-cloud-storage
        vertexai
        flask && 
    pip install --no-cache-dir 
        torch torchvision --index-url https://download.pytorch.org/whl/cpu && 
    pip install --no-cache-dir 
        ultralytics

RUN pip uninstall -y opencv-python && pip install --no-cache-dir opencv-python-headless

# Set the environment variable for the port**
ENV PORT 8080

# Set the working directory**
WORKDIR /home

# Copy the current directory contents into the container at /home**
COPY . /home

# Expose the application port**
EXPOSE 8080

# Command to run the application**
CMD ["python3", "main.py"]

Its a 2.4 GB image, i dont know how to proceed.I tried separating Build and runtime stages and it barely made any difference.