https://github.com/davidromeroy/computer-vision-portfolio

Hands-on computer vision projects in object detection, 3D vision, and robot perception – all in one place.
https://github.com/davidromeroy/computer-vision-portfolio

computer-vision object-detection opencv portfolio pythorch robotics ros

Last synced: about 1 month ago
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Hands-on computer vision projects in object detection, 3D vision, and robot perception – all in one place.

• Host: GitHub
• URL: https://github.com/davidromeroy/computer-vision-portfolio
• Owner: davidromeroy
• License: mit
• Created: 2025-05-12T01:46:08.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-07-09T03:58:08.000Z (11 months ago)
• Last Synced: 2025-08-03T23:18:09.677Z (11 months ago)
• Topics: computer-vision, object-detection, opencv, portfolio, pythorch, robotics, ros
• Language: Jupyter Notebook
• Homepage:
• Size: 18.2 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 🧠 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.

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## 📁 Project Structure

| Level       | Project Description |

|-------------|---------------------|

| 🟢 Basic      | [Image Filters with OpenCV](./basic) |

| 🟡 Intermediate | [Face Detection with MediaPipe](./intermediate) |

| 🔴 Advanced    | [Object Detection with YOLOv5](./advanced) |

| 📄 Practical   | [Body-Controlled Games](./practical) |

| 🤖 Integrated  | [Robot Vision with ArUco and ROS](./integrated) |

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## 🎥 Demos & Results

Each project will include:

- A short summary

- Technologies used

- Installation guide

- Visual examples (GIFs, videos)

- Key learnings

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## 🛠️ Tech Stack

- Python, OpenCV, NumPy, PyTorch

- Pygame, MediaPipe, YOLOv5

- ROS (Noetic, Humble), Rviz, ArUco

- Git, GitHub, VS Code

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## 🔗 About Me

[LinkedIn](https://www.linkedin.com/in/daroyane)  

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

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