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Opencv-Pillow-Mediapipe-On-Ubuntu24-04LTS

de Cloudtrio Solutions

opencv-pillow-mediapipe (OpenCV + Pillow + MediaPipe) is typically used for computer vision tasks.

Headline: Deploy Production-Ready OpenCV, Pillow & MediaPipe on Ubuntu 24.04

Summary: Eliminate the complexity of installing Python, native libraries, and computer vision dependencies. This image delivers a fully optimized, secure, and production-ready OpenCV, Pillow, and MediaPipe environment on Ubuntu 24.04 — perfect for computer vision, image processing, AI, and machine learning workloads on Microsoft Azure.

Why use this Image?

  • Instant Launch: OpenCV, Pillow, and MediaPipe come pre-installed with Python and all required system libraries. Begin developing and running computer vision applications immediately after deployment.
  • Optimized for Performance: Python packages and native dependencies are tuned for high-speed image processing, real-time video analysis, and efficient resource utilization.
  • Cloud-Optimized: Clean Ubuntu 24.04 LTS base image tailored for Azure VMs, featuring structured directories for datasets, models, logs, and application workflows.
  • Ideal For: Developers, researchers, and enterprises building face detection, pose estimation, gesture recognition, object tracking, and AI-powered vision applications.

Get Started: Click “Get it now” to launch.

How to Verify Your Installation:

  • sudo su : Switch to Super User.
  • cd /root : Navigate to the Appropriate Directory.
  • python3 --version : Check Python Version
  • python3 -c "import cv2; print(cv2.__version__)" : Verify OpenCV
  • python3 -c "from PIL import Image; print('Pillow OK')" : Verify Pillow
  • python3 -c "import mediapipe as mp; print(mp.__version__)" : Verify MediaPipe

Network & Ports Configuration

Default Ports: None (CLI / batch / SDK based workloads)
Allowed Ports:

  • 22 (TCP): SSH access for server management
  • 80 (TCP): Custom web / application service
  • 443 (TCP): Custom secure application service
  • 8888 (TCP): Jupyter Notebook (optional)
  • 5000 (TCP): Python API / Flask / FastAPI (optional)
  • 8000 (TCP): Development servers (optional)

Note: Open required ports in Azure Network Security Groups (NSG) before access.


About CloudTrio Solutions

CloudTrio Solutions specializes in delivering high-performance, secure, and production-ready cloud images for Microsoft Azure.
Each image is thoroughly tested, optimized, and validated for long-term reliability and smooth operation.

Our mission is simple:
Deliver enterprise-grade cloud solutions that reduce setup time, improve system performance, and minimize operational effort.

24/7 Expert Support

All CloudTrio images include dedicated support from certified cloud engineers.

  • Email: support@cloudtriosolutions.com
  • Phone: Available 24/7 for paid support subscribers
  • Assistance with OpenCV pipelines, MediaPipe models, Python optimization, GPU readiness, and Azure AI architecture.

Useful Links

Managed Azure Services
CloudTrio Solutions – Official Website


Disclaimer: CloudTrio Solutions does not provide commercial licenses for any open-source software included in this image.
All components are distributed under their respective open-source licenses.

© CloudTrio Solutions. All rights reserved.

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