DEV Community: Rahul Parajuli

Tale of DALL-E-2, A creation of future.

Rahul Parajuli — Fri, 26 Aug 2022 06:39:00 +0000

Welcome to carried future by machine!
The best artistic instrument ever conceived by a human being, DALL-E2, is regarded as a sign of doom for the creative sector. I find it quite fascinating that we can create works of art worth a million dollars in only seconds with only words.

It is simple to observe everything graphically and capture it with the help of this machine learning tool, but it also heralds a grim future. Imagine wishing to keep a dream in your memory and storage. Think about the perspective that might result in a lovely scenario that we could discuss later.

Even while everything has its own north and south poles, which depend on various clumps of knowledge and skill, I firmly think that no machine can match the texture created on a raw canvas.

I'll close my note on you by showing you the visuals that this artificial intelligence software produced to depict what I was thinking. Enjoy.

Astronaut playing basketball in space with a cat.
Sketch drawn by future robots.
Robot helping human who has goat legs.
Shiva meditating in space with all the galaxy in background.
End of the human being captured by a satellite.

Python basics!

Rahul Parajuli — Mon, 15 Aug 2022 06:37:23 +0000

Getting started with python?

As I was going through the toughest time where my logical skills were at the most vulnerable state I came to know that I need to practice my logical buildings as soon as possible.
As a developer I was running out of time to compete with the best in the game. However, I had that tendency to move out of the box and struggle hard enough to get industry ready.
If you are the one, lets get you a list of python 100 question solution to make you a easy go industry ready.

Lets get you some of the example of it-

Program to find the greatest number asking users for number.

`a = int(input("enter the first age: "))
b = int(input("enter second age: "))
c = int(input("enter 3rd age: "))

if a>b and a>c:
print("a is greatest")
elif b>a and b>c:
print("b is greatest")
else:
print("c is greatest")`

Program to convert cencius to farhenheit
`celcius = int(input("enter the celcius"))

farhenheit = (celcius * 9/5) + 32
print("farenheit of the celcuis is : ",farhenheit)`

logic to swap number
`a = int(input("enter first number: "))
b = int(input("enter second number: "))

print("the initial number is: ",a,b)

temp = a
a = b
b = temp

print("the final number after swap is: ", a,b)`

These are some of the basic example of python code.
For making you more sound in this career go through W3 school and try reading out all the python basic tools and libraries. Don't forget to learn concept on Object Oriented Programming (OOP) and also building an API from it.

Follow along my github - github

Good luck, Folks! Happy coding.

Motion Detection Using OpenCV for begineer.

Rahul Parajuli — Sat, 13 Aug 2022 07:58:00 +0000

A beginner guide to motion detection using OpenCV.

For a beginner, which was when I was studying at my university. I studied about OpenCV and its application and decided to work in a computer vision related project.

Motion Detection is magic when used in a way that is required, it can be used in vehicle counting system, anomaly detection during exam hall (which is - I don't recommend, you know what I mean). But on a serious side this sort of libraries can be used in surveillance system which can be utilized more efficiently that your neighbor's eyes.

Video is all about images that are captured continuously, also known as frames. You know FPS - its that images per second that we are talking about here.

Lets have quick look into pseudo code-

First we initiate our libraries (pandas, numpy, cv2 (computer vision)).
We declare initial state and motion track list.
to initialize the camera module its simple than you can ever imagine (cv2.VideoCapture(0)). {bam, pretty cool, right?}
We use while loop to continuously loop through every images captured.
We can also use various color conversion in cv2 like, grayscale, gaussian blur etc.
We now store each frames in initial state to capture initial state of the video captured.
Now we create threshold frame using absolute difference between initial state and current scaled frame.
We create a contours using that threshold frame and loop through it to decide a rectangle boundary to any object in motion.
Jeez, you made it through all these lecture, now lets look at the code.

follow through my github, for the code - github

Happy Coding!

Can human be trained just like how we train in machine learning?

Rahul Parajuli — Wed, 10 Aug 2022 05:39:00 +0000

Just curious, if human could be loaded with any data from the fetched from the internet and can be trained just like machines.

We must be faster than the machines!

I have been working so hard in this field that I started believing that we are made by other living being and are sent to earth for the civilization purpose, to harvest for them.
Since machine learning can be very fragile and can have various impact in our life, can we think of an idea that we train ourself using data present over internet so that we can actually know more about anything than a machine.