Convert Cartesian # coordinates (x, y) to polar coordinates (r, theta), and write r and # theta to standard output. #- # polar.py #- import stdio import sys import math # Accept floats x and y as command-line arguments. To learn more about polarTransform, see the documentation.Below is the syntax highlighted version of polar.py The result is a polar domain image with a specified initial and final radius and angle:Ĭonverting back to the cartesian image results in only a slice of the original image to be shown because the initial and final radius and angle were specified: Next Steps imshow ( cartesianImage, origin = 'lower' ) imshow ( polarImage, origin = 'lower' ) plt. convertToCartesianImage ( polarImage ) plt.
convertToPolarImage ( verticalLinesImage, initialRadius = 30, finalRadius = 100, initialAngle = 2 / 4 * np. imread ( 'IMAGE_PATH_HERE' ) polarImage, ptSettings = polarTransform. Input image: import polarTransform import matplotlib.pyplot as plt import imageio verticalLinesImage = imageio. Run the following command in the base directory to run the tests: python -m unittest discover -v polarTransform/tests Example To install in ‘develop’ or ‘editable’ mode, where changes can be made to the local working code and Python will use Or, for the last line, instead use: pip install -e. Use the following commands to getĪ copy from GitHub and install all dependencies: git clone pip install git+ Undocumented changes or bugs): pip install git+įor developers, you can clone the polarTransform repository and run the setup.py file.
To install the latest code from the repository (usually stable, but may have Install alone is using pip at a command line: pip install polarTransform PolarTransform is currently available on PyPi. It contains manyįeatures such as specifying the start/stop radius and angle, interpolation order (bicubic, linear, nearest, etc), and PolarTransform is a Python package for converting images between the polar and Cartesian domain.
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