README.md

metadata

title: Cv Hangout
emoji: 💻
colorFrom: green
colorTo: gray
sdk: streamlit
sdk_version: 1.41.1
app_file: app.py
pinned: false
license: apache-2.0
short_description: Computer Vision Hangout

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Computer Vision Journey - Interactive Streamlit Presentation

An interactive Streamlit presentation showcasing my journey in Computer Vision, from autonomous drones to Vision Language Models.

Overview

This application serves as an interactive presentation for a Computer Vision Hangout on Hugging Face. Instead of traditional slides, I've created a modern, interactive Streamlit application that walks through my development in computer vision through various projects I've worked on over the years.

Featured Projects

1. Black Bee Drones - First autonomous drone team in Latin America

   • Line following algorithms
   • ArUco marker detection
   • Real-time control systems

2. Asimov Foundation - STEM education through robotics and computer vision

   • Hand gesture recognition for robotic arm control
   • Educational tools for teaching CV concepts

3. CafeDL - A Java Deep Learning library built from scratch

   • CNN architecture implementation
   • Real-time drawing classification
   • QuickDraw game clone

4. Tech4Humans ML Projects - Industry applications

   • Signature Detection Model (open-source)
   • Document Information Extraction using VLMs

Live Demos

The presentation includes links to several live demos on Hugging Face Spaces:

• OpenCV GUI Demo
• Line Following PID Demo
• Signature Detection Demo

Installation and Running

Requirements

• Python 3.8+
• Streamlit 1.33.0+
• Other dependencies listed in requirements.txt

Setup

1. Clone this repository:

   git clone https://github.com/samuellimabraz/cv-journey-presentation.git
   cd cv-journey-presentation
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Run the Streamlit application:

   streamlit run app.py
   

Project Structure

• app.py - Main entry point for the Streamlit application
• pages/ - Individual page modules for each section of the presentation
• assets/ - Images, videos, and other static assets
• utils/ - Helper functions and utilities

Contributing

This is a personal presentation project, but feedback and suggestions are welcome. Feel free to open an issue or contact me directly.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Black Bee Drones team at UNIFEI
• Asimov Foundation
• Tech4Humans team
• Hugging Face community for hosting the Computer Vision Hangout

Contact

Samuel Lima Braz - GitHub | LinkedIn | Hugging Face