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---
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](https://samuellimabraz-opencv-gui.hf.space)
- [Line Following PID Demo](https://samuellimabraz-line-follow-pid.hf.space)
- [Signature Detection Demo](https://tech4humans-signature-detection.hf.space)

## Installation and Running

### Requirements

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

### Setup

1. Clone this repository:
   ```bash
   git clone https://github.com/samuellimabraz/cv-journey-presentation.git
   cd cv-journey-presentation
   ```

2. Install the required packages:
   ```bash
   pip install -r requirements.txt
   ```

3. Run the Streamlit application:
   ```bash
   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](https://github.com/samuellimabraz) | [LinkedIn](https://www.linkedin.com/) | [Hugging Face](https://huggingface.co/samuellimabraz)