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Open-Source Handwritten Signature Detection Model
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106Samuel Lima Braz PRO
samuellimabraz
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I recently had the opportunity to present at a Computer Vision Hangout, sharing my journey from autonomous drone competition to fine-tuning Vision-Language Models.
I built an interactive presentation app! Here's a glimpse of the topics:
🚁 Black Bee Drones:
My first steps into CV with Latin America's first autonomous drone team. Covering classical CV techniques (filtering, edge detection), the IMAV 2023 mission (ArUco detection, line following with PID control), and links to demos for OpenCV basics and PID simulation.
🤖 Asimo Foundation:
Using MediaPipe for gesture control of a robotic arm in an educational project.
☕ CafeDL:
Building a small Deep Learning framework from scratch in Java (inspired by Keras, using ND4J) and training a CNN for a QuickDraw-like app.
🏢 Tech4Humans:
Real-world applications, including open-source signature detection and efficient fine-tuning of VLMs for document extraction.
Check out the interactive demos (also embedded in the main app):
1️⃣ CV Hangout App: The main presentation app showcasing my journey.
https://huggingface.co/spaces/samuellimabraz/cv-hangout
2️⃣ OpenCV GUI: Real-time demo of CV techniques (filters, color filtering, ArUco) & AI models.
https://huggingface.co/spaces/samuellimabraz/opencv-gui
3️⃣ Line Follow PID: Simulation of a PID controller for drone line-following.
https://huggingface.co/spaces/samuellimabraz/line-follow-pid
I hope these resources are helpful to someone on their CV learning journey!
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PEFT: Parameter-Efficient Fine-Tuning Methods for LLMs
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