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Hands-on computer vision projects in object detection, 3D vision, and robot perception – all in one place.

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🧠 Computer Vision Portfolio – David Romero Yánez

Welcome! This is my personal portfolio focused on computer vision projects. Here I showcase practical applications using Python, OpenCV, PyTorch and ROS, covering topics such as object detection, segmentation and robot vision.

🎯 Objective

Demonstrate my capabilities in building and deploying computer vision systems from scratch, using real datasets, custom code and visual demonstrations. This portfolio is intended for future employers and master’s program applications.


📁 Project Structure

Level Project Description
🟢 Basic Image Filters with OpenCV
🟡 Intermediate Face Detection with MediaPipe
🔴 Advanced Object Detection with YOLOv5
📄 Practical Body-Controlled Games
🤖 Integrated Robot Vision with ArUco and ROS

🎥 Demos & Results

Each project will include:

  • A short summary
  • Technologies used
  • Installation guide
  • Visual examples (GIFs, videos)
  • Key learnings

🛠️ Tech Stack

  • Python, OpenCV, NumPy, PyTorch
  • Pygame, MediaPipe, YOLOv5
  • ROS (Noetic, Humble), Rviz, ArUco
  • Git, GitHub, VS Code

🔗 About Me

LinkedIn
Mechatronics Engineer | Robotics & AI Enthusiast | Passionate about computer vision & robotics research


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