content.raw: 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.
content.type: text
content.value: 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.
content.type: new_line
content.type: new_line
content.raw: I built an interactive presentation app! Here's a glimpse of the topics:
content.type: text
content.value: I built an interactive presentation app! Here's a glimpse of the topics:
content.type: new_line
content.type: new_line
content.raw: 🚁 Black Bee Drones:
content.type: text
content.value: 🚁 Black Bee Drones:
content.type: new_line
content.raw: 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.
content.type: text
content.value: 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.
content.type: new_line
content.type: new_line
content.raw: 🤖 Asimo Foundation:
content.type: text
content.value: 🤖 Asimo Foundation:
content.type: new_line
content.raw: Using MediaPipe for gesture control of a robotic arm in an educational project.
content.type: text
content.value: Using MediaPipe for gesture control of a robotic arm in an educational project.
content.type: new_line
content.type: new_line
content.raw: ☕ CafeDL:
content.type: text
content.value: ☕ CafeDL:
content.type: new_line
content.raw: Building a small Deep Learning framework from scratch in Java (inspired by Keras, using ND4J) and training a CNN for a QuickDraw-like app.
content.type: text
content.value: Building a small Deep Learning framework from scratch in Java (inspired by Keras, using ND4J) and training a CNN for a QuickDraw-like app.
content.type: new_line
content.type: new_line
content.raw: 🏢 Tech4Humans:
content.type: text
content.value: 🏢 Tech4Humans:
content.type: new_line
content.raw: Real-world applications, including open-source signature detection and efficient fine-tuning of VLMs for document extraction.
content.type: text
content.value: Real-world applications, including open-source signature detection and efficient fine-tuning of VLMs for document extraction.
content.type: new_line
content.type: new_line
content.raw: Check out the interactive demos (also embedded in the main app):
content.type: text
content.value: Check out the interactive demos (also embedded in the main app):
content.type: new_line
content.type: new_line
content.raw: 1️⃣ CV Hangout App: The main presentation app showcasing my journey.
content.type: text
content.value: 1️⃣ CV Hangout App: The main presentation app showcasing my journey.
content.type: new_line
content.raw: https://huggingface.co/spaces/samuellimabraz/cv-hangout
content.id: samuellimabraz/cv-hangout
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/samuellimabraz/cv-hangout
content.type: new_line
content.type: new_line
content.raw: 2️⃣ OpenCV GUI: Real-time demo of CV techniques (filters, color filtering, ArUco) & AI models.
content.type: text
content.value: 2️⃣ OpenCV GUI: Real-time demo of CV techniques (filters, color filtering, ArUco) & AI models.
content.type: new_line
content.raw: https://huggingface.co/spaces/samuellimabraz/opencv-gui
content.id: samuellimabraz/opencv-gui
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/samuellimabraz/opencv-gui
content.type: new_line
content.type: new_line
content.raw: 3️⃣ Line Follow PID: Simulation of a PID controller for drone line-following.
content.type: text
content.value: 3️⃣ Line Follow PID: Simulation of a PID controller for drone line-following.
content.type: new_line
content.raw: https://huggingface.co/spaces/samuellimabraz/line-follow-pid
content.id: samuellimabraz/line-follow-pid
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/samuellimabraz/line-follow-pid
content.type: new_line
content.type: new_line
content.raw: I hope these resources are helpful to someone on their CV learning journey!
content.type: text
content.value: I hope these resources are helpful to someone on their CV learning journey!
rawContent: 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!
reactions.reaction: 🔥
reactions.users: kaveeshwaran Shota-kun
reactions.reaction: 🤗
reactions.users: John6666 samuellimabraz