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KavyaAgarwal2001 / learning101

This repo contain learining material.

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Getting Started

Installation of Linux and Introduction to Linux Ecosystem

  • Getting Started with Ubuntu
    • Install Ubuntu 16.04
    • Install VS code, Google Chrome
    • Install git
    • Install pip, pip3, link pip3 with python3
    • Login with your GitHub on VScode.
    • Detect your Webcam from the terminal using V4L,
    • Capture a selfie using the Terminal.
    • Find out your IP address using Terminal

Programming Languages(C++ and Python)

  • Installing and Using Python
  • Variables and Expressions
    • Try and Except, Conditional Statements, Functions, Loops and IterationsData Structures, Strings, Files, Lists, Tuple, Dictionaries
  • Object-Oriented Python
    • Object-Oriented Definitions and Terminology
    • Class and Object
    • Object Life Cycle
    • Object Inheritance
  • Basic Structured Query Language
  • Object-Oriented C++
    • Object-Oriented Definitions and Terminology
    • Class and Object
    • Object Life Cycle
    • Object Inheritance
  • Hackerrank - C++
    • You have to solve until Challenge 20, Abstract Classes - Polymorphism
    • Write your program locally using your text editor and push to your GitHub repository, Learning101. At the end of the task, submit a pull request to ERA-IITK/learning101.
  • Hackerrank -Python
    • You have to solve from Challenge 9, Nested Lists until Challenge 27, Merge the Tools.
    • Write your program locally using your text editor and push to your GitHub repository, Learning101. At the end of the task, submit a pull request to ERA-IITK/learning101.

GitHub for Work

  • Fork learning101 from github.com/ERA-IITK. Add your respective codes along with a README.MD detailing the internal structure of your repository in a concise manner. (1 or 2 lines for each subfolder)
  • On 15th March, send a pull request.

Reading

  • Read the Rules Manual for RoboMaster AI challenge 2020

Image Processing

  • What is an image?
  • What is the brightness, contrast, saturation, and hue of an image?
  • What is the difference between image processing and computer vision?
  • Learn about various color-spaces and bit-wise operations in OpenCV and try to implement skin detection.
  • Learn about contours in OpenCV and use the previously implemented skin detection with contours.
  • Read and practice Chapter 1 (except PCA) of the book Programming Computer Vision with Python by Jan Erik Solem (can be found in ERA-IITK/res)
  • Write a code to detect the best Armour Plate in the given image. Draw a rectangular box around the armor. (Image can be found in ERA-IITK/res)

Introduction to Linux Ecosystem- Part 2

  • Getting into Linux Eco-System
    • Kernel vs. Operating System
    • What is a Daemon?
    • Difference Between Bash and sh ?
    • What is Gnome?
    • What is Shell?
    • Complete the chapters 1-5 of the book "Linux Shell Scripting Tutorial - written by Vivek Gite" (Found at ERAIITK/res)
    • Complete Challenges 1-10 (up to Functions and Fractals) on Hackerrank
      (https://www.hackerrank.com/domains/shell)

Getting into ROS Eco-System

  • Installing and Using ROS

    • Installation - one line, Desktop- full, kinetic.
    • Read through Section 1.1 of Mahtani - found at ERAIITK/res

  • ROS System Levels

    • Understand the Filesystem level and The Computation Graph level, and draw flow diagram, illustrating your understanding of each of these

  • Introduction to Nodes and Topics

    • Use Turtle Sim simulator, and use the built-in teleop, Use the RQT graph to see the active nodes and topics.
    • Write a node that moves the turtle forward when the input is 'f' and backward when input is 'b'
    • Write a node that takes an input 'r' from the user and makes the turtle move in c circle of radius 'r'

Getting comfortable with the ROS Eco-System - CMake

Having fun with ROS.

  • You have to work in pairs to write a subscriber publisher pair that can communicate over the network to your partner's computer.
    • Ping the network, Perform simple addition.
    • You must use a ROS based approach.
    • Submit these task as a separate compiled workspace
    • Generate the RQT graph and submit that as an image file
  • Now modify your talker subscriber network such that the talker on your computer is able to control the turtlesim turtle in your partner's computer.
    • The movements are forward and backward, turn left 90* turn right 90*. The forward-backward motion must be quantized for each keypress irrespective of the duration of the keypress.
  • Now modify your above program to include gesture recognition. Control the turtlesim turtle on your partner's computer using hand gestures in front of your webcam
    • The same movement constraints apply as above.
    • You must get feedback of the current position of the turtle, back on your screen.
    • Use OpenCV for image processing
  • The above tasks need to be done in the C programming language and compiled as a package

About

This repo contain learining material.