Perform 2D convolution of image data
Given two 2D datasets, this application calculates their convolution using the scipy.signal.convolv2d function. The datasets must be in the form:
<x value> <y value> <data value>
Example datasets are provided (test/convolve_raw_0.dat, test/convolve_raw_1.dat).
Clone this code from this repository by running:
$ git clone https://github.com/raymenzel/image-convolution.git
$ cd image-convolution
This application requires:
- python3 >= 3.8
- pip
- matplotlib
- numpy
- scipy
To install it in a virtual environment, run:
$ python3 -m venv env
$ source env/bin/activate # if in bash
$ pip install --upgrade pip
$ pip install .
An application image-convolver will be created. It takes arguments:
$ image-convolver -h
usage: image-convolver [-h] dataset1 dataset2 output
Performs a 2D convolution of two datasets.
positional arguments:
dataset1 A dataset.
dataset2 Another dataset.
output Path to the output png file.
optional arguments:
-h, --help show this help message and exit
Running the application on the two provided test datasets:
$ image-convolver test/convolve_raw_0.dat test/convolve_raw_1.dat out.png
should produce test/convolve_raw_0.dat.png, test/convolve_raw_1.dat.png,
and out.png:
