Project 1

code:

import numpy as np
import cv2

def display_img(disp_img, title ='img_display'):
    cv2.imshow(title,disp_img)
    cv2.waitKey(0)

def read_img(path):
    img_matrix = cv2.imread(path)
    display_img(img_matrix)
    return img_matrix

def rotate_img(img,angle,scale):
    height,width = img.shape[:2]
    img_center = (width/2, height/2) # rotate image at its center
    # returns Transformation Matrix M
    transformation_matrix = cv2.getRotationMatrix2D(img_center, angle, scale)
    # returns transformed matrix (rotated image) 
    transformed_matrix = cv2.warpAffine(img, transformation_matrix, (width, height))
    return transformed_matrix

def crop_img(img,h1,h2,w1,w2):
    cropped = img[h1:h2,w1:w2]
    return cropped

input_img = read_img('assignment_1/Challenge_1.PNG')

# Rotated Image
img_rotated =  rotate_img(input_img,angle = 140,scale = 1)
display_img(img_rotated,'rotated_img')

# 50% scale reduced image
height,width = input_img.shape[:2]
x = int(width/2) #scaling 50% of x
y = int(height/2) #scaling 50% of y
resized_img = cv2.resize(img_rotated,(x,y))
display_img(resized_img,'resized_img')

# cropped image
cropped_img = crop_img(input_img,90,570,160,880)
display_img(cropped_img,'cropped_img')

Input_Image

Rotated_image

Resized_Image

Cropped_Image