Question

You are free to create anything for your final project. It will count as a learning of your python course. What you have learned so far. Make sure your code covers all of the following things. See rubric for grading.

• Use the concepts of object-based programming—classes, objects, and methods
• Draw two-dimensional shape
• Use the RGB system to create colors in graphics applications and modify pixels in images
• Develop recursive algorithms to draw recursive shapes
• Write a nested loop to process a two-dimensional grid
• Perform simple transformations of images, such as conversion of color to gray-scale

IMPORTANT

1. Your code will be checked in a tool for plagiarism. If found copied will be graded as zero.
2. You can not copy the code from your material given in your book. You can take the idea and modify it in a different way by adding your own code.
3. Final Project is 20% of your grade.
4. Upload your .py file on canvas.
5. Make sure you go over rubric for points before submitting.

Please create one code following this guide and I need some explanation about code What is about.

Answer 1

2d shape using recursion

from turtle import * #library for shapes
def square(n):
if n>0:
forward(200) #movement in forward direction
right(90) #movement in right direction
recurse(n-1) #recursively calling till 4 as square has 4 sides

square(4)

conversion of image form color to grey scale

import cv2 #modeule for processing images
image = cv2.imread('C:/Users/N/Desktop/Test.jpg') #specify the path of the image
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) #fist argument is real image and second argument is to specify that you want to convert it into gray scale

cv2.imshow('REAL IMAGE',image) #for showing the original image
cv2.imshow('CONVERTED IMAGE', gray) #for showing the converted image
cv2.waitKey(0)
cv2.destroyAllWindows()

To get the pixel of each image

def pixel(image, i, j):
  
width, height = image.size #returns in the same order
if i > width or j > height: # to check the bounds of the image
return None

  
pixel = image.pixel((i, j)) # Get Pixel
return pixel