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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

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manuelz/README.md

Hi, my name is Manuel, Computer Vision engineer

Skills

Category Skills
Languages Python, JavaScript
Computer Vision OpenCV, PyTorch, TensorFlow
Robotics ROS2, Webots, Exudyn
CAD Solid Edge, Inventor, Alibre
Dev Linux, Docker, Pytest, MyPy, Git
Cloud AWS, Azure

Personal Computer Vision projects

  • Document scanner simulation

    A document scanner application that converts images of rectangular documents into a top-down view with classical computer vision, tested in a robotics simulator.

  • 106K cards identification system

    Card identification system that matches a query card to a 106K card database using fine-tuned deep feature embeddings and similarity search.

  • TV remote Automation

    Automation of TV remote controls to assist older adults with button visibility and navigation.

  • Semantic segmentation

    Semantic segmentation on images taken from drones to differentiate between 12 classes.

Pinned Loading

  1. robotics_algorithms robotics_algorithms Public

    My own implementations of various robotics algorithms (actually, just one) using ROS2 and the Webots simulator.

    Python 3 1

  2. Kalman-Filter Kalman-Filter Public

    Python implementation of a Kalman Filter.

    Python

  3. sort-tracker sort-tracker Public

    A straightforward implementation of the SORT tracking algorithm.

    Python

  4. Complementary-Filter Complementary-Filter Public

    Implementation of a Complementary Filter using accelerometer and gyro data collected from a smartphone.

    Python 1

  5. Visual-Slam Visual-Slam Public

    Implementation of Visual Slam in Webots, based on the book "Visual SLAM: From Theory to Practice"

    C++ 1

  6. monocular-slam monocular-slam Public

    Monocular Visual SLAM pipeline (WIP) — feature matching, pose estimation, and 3D point triangulation from a single camera.

    Jupyter Notebook