Jupyter Notebook in Windows Subsystem for Linux (WSL)
Posted 24th October 2023
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Here’s a procedure for enabling Jupyter Notebooks to run on a Windows brower from a Linux environment on the same machine.
Flattening nested lists or arrays in Python
Posted 2nd June 2023
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There may be a requirement to flatten a list of lists in Python in order to extract useful information more easily. Here’s a procedure for flatting nested lists using NumPy.
Batch rename files using a CSV in Python
Posted 19th January 2023
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Use this simple Python script to change hundreds or thousands of file names automatically, based on a CSV. This procedure will work on all operating systems.
List directory contents in CSV file using Python
Posted 18th January 2023
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Do you need to compile a list of all of the files in a folder or directory? This can be automated using a simple Python script which will save a list of the files (and their full paths) into a CSV file that can be read in Excel.
Structuring elements in Python
Posted 1st September 2022
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Some simple methods to generate structuring elements as part of an image morphology pipeline in Python.
Add your Conda environment to your Jupyter Notebook
Posted 31st May 2022
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By default, Jupyter Notebook will only display a single kernel (called ipykernel) when installed in a new environment. Here’s a procedure for choosing another Conda environment in a Jupyter Notebook.
Blob analysis with OpenCV in Python
Posted 10th December 2021
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Here’s my methodology for performing a blob analysis from binary images in OpenCV using Python code.
Fit an inscribing circle to a shape in OpenCV
Posted 30th October 2021
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The largest possible circle that can be drawn interior to a plane figure is called an inscribing circle. This can easily be fitted to a binary shape in OpenCV.
Skip cells when running Jupyter Notebook scripts
Posted 27th September 2021
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There is a surprisingly simple way to turn off specific cells in Jupyter Notebook without having to manually comment-out chunks of code.
Bounding rectangles in Python OpenCV
Posted 20th July 2021
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There are two methods in OpenCV to derive a bounding rectangle and extract the relevant values of an object or series of objects in an image.