/cmsc265-pseudocolor-image-processing

CMSC 265 Exercise 7 written in Python and OpenCV

Primary LanguagePythonMIT LicenseMIT

CMSC 265 Exercise 7 - Pseudocolor Image Processing

Requirements

  1. Python 3.6.x or later
  2. OpenCV 3.x

Note: Make sure that Python is compiled with framework enabled when installing on macOS systems.

Installing dependencies

This project requires a working installation of OpenCV 3. Please install this first before installing the project dependencies.

Dependencies of this project can be installed via PIP.

Follow these steps to install the setup the application:

  1. Run the command pyvenv venv to setup a Python 3 virtual environment.

  2. Activate the virtual environment by running source venv/bin/activate

  3. Install the project dependencies by running pip install -r requirements.txt

  4. Locate your OpenCV Python bindings and type the command echo <Python OpenCV bindings path> >> ./venv/lib/<python version>/site-packages/opencv3.pth.

    Where:

    1. <Python CV bindings path>: is the site-packages folder inside the OpenCV installation. Please make sure you select the appropriate version of bindings that matches the Python version declared in the requirements.

    2. <python version>: is the version under your venv virtual environment folder

Running the Program

You can run the python scripts by invoking python <script>.py or ./<script>.py. For getting the output using the OpenCV color maps, run python color-map.py or ./color-map.py. For getting the output using the RGB transformation, run python rgb-transformation.py or ./rgb-transformation.py.

License

MIT