CV Lab

Collection of computer vision tools for experimentation with OpenCV.

Requirements

• Python 3.13 or higher

Installation

Setup Virtual Environment (Recommended)

# Create virtual environment
python3 -m venv .venv

# Activate virtual environment
source .venv/bin/activate

# Install dependencies
pip install numpy opencv-python pyaudio scipy pillow matplotlib

Alternative Installation with Pipenv

# Install portaudio (required for macOS)
brew install portaudio

# Install dependencies using Pipenv
pipenv install
pipenv shell

Usage

RGB Color Trackbar

Simple tool to experiment with RGB color values:

python rgb_trackbar.py

Object Tracking by Color

Track objects of specific colors:

# Track green objects (default)
python object_tracking/colour_tracking.py

# Track blue objects
python object_tracking/colour_tracking.py --colour blue

# Available colors: blue, green, red, orange, yellow

Options:

• --colour [COLOR]: Color to track (blue, green, red, orange, yellow)
• --flip: Flip video horizontally
• --width: Video width (default: 160)
• --height: Video height (default: 120)
• -v, --verbose: Increase output verbosity

Pick and Track

Select a region of color to track:

python object_tracking/pick_and_track.py

1. Click and drag to select a region in the input window
2. The script will track objects of that color
3. Press 'r' to reset selection
4. Press 'q' to quit

Troubleshooting

If you encounter camera access errors:

OpenCV: error in [AVCaptureDeviceInput initWithDevice:error:]
OpenCV: Cannot Use FaceTime HD Camera
OpenCV: camera failed to properly initialize!

Try the following:

sudo killall VDCAssistant

If you get "No module named 'cv2'" error, make sure you've activated your virtual environment:

source .venv/bin/activate