Good morning. Similar to yesterday’s weather here in the Twin CIties of Minneapolis and St. Paul, our high temperature for the day is forecasted to be 90F. We are still in spring but it is starting to feel like summer.
Yesterday my wife and I were planning to walk for about ten miles. Due to the temperature and humidity we decided to cut it short to just five. Today we are just planning on five miles.
Today we will experiment with denoising images. This post is based on the contents of a section in the PluralSight course Building Image Processing Applications Using scikit-image by Janani Ravi. Continue reading “Denoising”
It is a summer Saturday morning in the Twin Cities of Minneapolis and St. Paul in Minnesota. The temperature will go up to 87F. Around 10:00 AM, before it gets too hot, my wife and I will go out for a leisure walk of 10 miles. Last night I had a hard time sleeping so hopefully the mild exercise will help this evening.
In this post we continue to watch the PluralSight course Building Image Processing Applications Using scikit-image by Janani Ravi. She uses a Jupyter notebook. In this post we will use VSCode with GitHub Copilot. I should disclose that I am a Microsoft employee and have been using VSCode for a few years. When possible I like to follow the KISS principle so I prefer to use the minimum number of IDEs that support all the programming languages I wish to use. Why complicate life using as many IDEs as one can find and never become proficient on all of them. Continue reading “Corner Detection”
This morning on LinkedIn, NEWSLETTER, Big Technology, A newsletter about Big Tech and society, by Alex Kantrowitz I listened to the podcast Let’s Talk About Temu and Shein, The Fast-Rising, China-Based Retailers Threatening U.S. Mainstays.
On Big Technology Podcast, Ranjan Roy and Alex Kantrowitz spoke with New York Magazine contributing editor John Herrman about Temu and Shein, the fast-rising, China-based retailers that are threatening the U.S. mainstays including H&M and Amazon.
Continue reading “Histogram of Oriented Gradients”
In this post I will experiment with the DAISY descriptors. Please note that one of the simplest approaches is to alter parameters in the different functions and observe the results. In addition you should look up the functions in the scikit-image to get a better understanding of the function and arguments e.g., skimage.feature.daisy.
The motivation for this post is the PluralSight course by Janani Ravi. She uses the Jupyter notebook in the course. We will use the VSCode IDE with GitHub Copilot. This helps experiment with the code. At this point I would like to disclose that I am a Microsoft employee and use the VSCode IDE with GitHub Copilot extension. Have been using VSCode for a few years. In the past few months I started using GitHub Copilot. Continue reading “Daisy Descriptors”
Welcome to the last section of the first chapter on the PluralSight course Building Image Processing Applications Using scikit-image by Janani Ravi.
In this post we will deal with the Canny edge detector. It is a more complex edge detector that Roberts or Sobel. Continue reading “Canny Edge Detector”
In this post we will experiment with edge detection techniques using the Roberts and Sobel edge detection algorithms.
The motivation for this post came from the PluralSight course Building Image Processing Applications Using scikit-image by Janani Ravi. She uses the Jupyter notebook for the exercises. In this post I am using VSCode with GitHub Copilot. I would like to disclose that I am a Microsoft employee and have been using VSCode for many years. Continue reading “Edge Detection”
In this post we will learn a few things about a convex hull.
Before we get into the main subject I would like to chat for a few on a different subject. Currently I continue to read Natural Language Processing by Ekaterina Kockmar. Earlier this morning I was reading the section 3.2.2 Matching forms of the same word: Morphological processing. In the current chapter we are trying to develop an information retrieval system. In a nutshell we have a set of documents of interest and a set of queries. The idea is that given a query we want to return relevant documents in descending order. Sounds very much like what Google search does. Of course the objectives are not to write something to compete with searches on web browsers, but to give us an idea of the general steps needed to perform such a task.
In particular I was reading about Stemming. The idea is that when you have words in a query and wish to map them to words on a document, the forms of a word may be different. A simple word match would not work (e.g., continue and continuation) because for a computer the words are different. If we implement an algorithm using stemming we will be able to match the words.
As I was reading the section an old Spanish saying (https://en.wikipedia.org/wiki/Saying) “The devil knows more through being old than through being a devil.” If you stop for a few and think about the Spanish saying you should reach the conclusion that it is wrong. In general if you do not reflect on what happened, the good and bad decisions you made, you will not learn and therefore you will not become wiser. For the Spanish saying to be true one must assume that the devil reflects on past events. Since the devil is a personification of evil and not a being like us, the saying is just a saying. Continue reading “Convex Hull”
In this post we will experiment with drawing contours on shapes. This post is based on the PluralSight course by Janani Ravi.
We will use The Marching Squares algorithm to draw contours. The algorithm is easy-to-implement, is an embarrassingly parallel algorithm that generates contours for a two-dimensional (rectangular) array. Continue reading “Contours”
In this post we will continue reading and experimenting with the contents of the PluralSight course “Building Image Processing Applications Using scikit-image” by Janani Ravi.
Please note that the course uses the Jupyter notebook to hold the code and results. In this post we will write modified code using the VSCode IDE and a Python script using GitHub Copilot. I would like to disclose that I am a Microsoft employee and have been using VSCode and Python for several years. Continue reading “Block Views and Pooling Operations”
I finished reading “Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs” by John Doerr. The book describes a process based on something called OKR. KPIs are in some cases confused with OKRs. OKRs are like KPIs on steroids.
In a nutshell, one specifies an objective / goal and then defines a set of OKRs which need to be completed to achieve the objective. The process has been used by many successful companies and organizations worldwide.
The book is easy and interesting to read. I already created two objectives and a set of OKRs for each. Will let you know in about three months how my OKRs worked. Continue reading “Working with Images Using NumPy”