Varisht's Dev Page

This has been a long overdue post. Thanks to my move and a lot of other things, despite trying my level best into putting out a post, I was not able to do so. This post would've possibly come in next week, but since you are reading this, it is coming out today. I just wanted to get one out so that I don't break my flow or more like I go back into the vicious cycle of okay maybe next week. With that said, this week again I'll be doing something with opencv. Not because I have planned it or anything, I simply had a small program ready. When I first got into opencv, after going through the basic open image, open video phase, I wanted to do some very basic color based object detection. It did start with basic detection of red color objects, green color objects and so forth. Slowly I started modifying it to allow me to select which color I wanted to detect the intensity levels and such. It had a whole bunch of controls on it. That time, I used to do it in C++ and EmguCV whic...

So this week as promised last week I'll delve a bit into OpenCV. I've used OpenCV for object detection and facial recognition and detection in the past, but I would not like to go that deep into it for the time being. Today we'll take something much more simple, okay not as simple as opening up an image and changing some colors or say using grayscale or blurs and the like; I'll be doing a small program on motion detection using differences between frames and contours. Now contours are basically an outline that represent or bound a shape of an object. Contours will be used to pin point the motion happening in the image. This is a fairly simple example where I'll be using my webcam to basically detect some motion in the video feed. Before we do that, we'll apply some transformations to the incoming video frames and use these to detect motion. There are several programs for this already online, but I'll do this one here as a start. Code...

So initially I was planning to do a program on basic object / motion detection from video using opencv. I tried to find my old code for it but was unable to find it. So I thought rather than wasting time finding it, I'd rather find it myself. But since you are reading this long introduction and you probably have read the title by now, that ain't happening; this week at least. So what alternative I have then today, pretty sure there are a ton of programs for finding unique elements from a list or what not, and this one will probably join its ranks as well. A little bit of backstory for the problem / program at hand is that last week one of my friends went for an interview for a new job. He'd cleared many rounds before and was now in the technical round. The problem given to him was simple: "Given a list of elements, you need to find the non-repeating element from the list. The space complexity needs to be O(k) and...

I know the title of this post ain't that great and TBH I couldn't come up with something better. So what is this program about. A few days back a friend of mine celebrated his birthday. I was wondering how do I find all the years when, his birthday and mine fall on the same day of the week. It was not a great question, but it piqued me and I wrote a rudimentary program for it on my phone. While this is not the same code I wrote it is kinda similar. I will be writing it in Python as that is the language I'm most comfortable in right now. I'll be using the trusty 'datetime' utility in python for this task. Below is the basic version of the program: from datetime import datetime # Initialize the dates date1 = "15/02" date2 = "23/05" # Initialize the start and end years start_year = 2019 end_year = 2100 # Initialize a list for all results results = [] # Now loop in the year range and find the days for year in range(start_year, end_...