Open-CV Class

OpenCV and ROS computer-vision class materials, including image-processing examples, lane-detection scripts, Gazebo-related examples, sample images, and a reference PDF.

Repository Status

This repository is currently best understood as class/practice material. It is not yet a polished autonomous-driving or robotics benchmark project.

Current contents:

Open_CV/
  OpenCV.pdf
  images/
  OpenCV example source code/
  Gazebo simulation source code/

Setup

Python examples generally require:

pip install opencv-python numpy

ROS Noetic / Gazebo-related examples may require:

sudo apt-get install ros-noetic-effort-controllers
sudo apt-get install ros-noetic-ros-controllers

Suggested Validation

Run individual examples from their folder, for example:

python "Open_CV/OpenCV example source code/show_image.py"
python "Open_CV/OpenCV example source code/hough_lane_detection.py"

Gazebo/ROS examples require a ROS Noetic environment and compatible simulation setup.

Portfolio TODO

• Add screenshots for representative image-processing outputs.
• Add one short explanation for each major example.
• Add exact ROS/Gazebo launch assumptions for lane-detection scripts.
• Mark any missing datasets, bag files, or simulation worlds as TBD.