- π Iβm currently pursuing: My undergraduate studies in computer engineering at MUN
- π± Iβm currently learning: Ethical Hacking
- π₯οΈ I'm currently developing: A self-autonomous vehicle with Iceberg ASV for the Njord Challange 2024 in Trondheim, Norway and Roboboat 2025 competition in Sarasota, Florida. Check the link to our repo: Iceberg ASV GitHub Repository
- π« How to reach me: adavidguamandavila@gmail.com
- π My Resume: David Guaman Davila's Resume
- π Pronouns: he/him
- π Check out my Portfolio Website
- β‘ Fun fact: I'm from Quito, Ecuador
- ECE @ MUN | St. John's, NL
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Highlights
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YOLOv5-Image-Preprocessing-for-Vehicle-Detection
YOLOv5-Image-Preprocessing-for-Vehicle-Detection PublicExplore YOLOv5's vehicle detection with image preprocessing. Test variations include unmodified RGB, intensity images, and sharpened greyscaled images. Compare model performance across these variants.
Jupyter Notebook 3
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IcebergASV/real_world_marine_markers_custom_dataset_yolo_training
IcebergASV/real_world_marine_markers_custom_dataset_yolo_training PublicRepository showcasing YOLOv5 training on a custom dataset of real-world marine markers, featuring comprehensive Jupyter notebooks and archived model weights for advanced object detection in marine β¦
Jupyter Notebook 1
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IcebergASV/ros_obj_detection
IcebergASV/ros_obj_detection PublicForked from qq44642754a/Yolov5_ros
Real-time object detection with ROS, based on YOLOv5 and PyTorch tailored for Iceberg ASV
CMake
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IcebergASV/object_detection_pkg
IcebergASV/object_detection_pkg PublicReal-time object detection with ROS, based on YOLOv5 and PyTorch tailored for Iceberg ASV using Intel RealSense D435.
CMake 1
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GrayscaleImageBoxFilter
GrayscaleImageBoxFilter PublicThe GrayscaleImageBoxFilter GitHub repo provides a Python script for smoothing images using a 3x3 box filter. It details setup, usage, and collaborative development practices.
Python 1
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JUnit5-Testing-Showcase
JUnit5-Testing-Showcase PublicThis repository showcases a collection of JUnit 5 and Mockito test cases and scenarios, developed as part of my learning journey from the Udemy courses. It serves as a practical demonstration of myβ¦
Java 1
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