import cv2
import numpy as np
from matplotlib import pyplot as plt
def show_image(image):
    plt.figure(figsize=(6, 6))
    plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
    plt.axis('off')
    plt.show()
image_url = 'rose.jpg'  
image = cv2.imread(image_url)
tx = 50
ty = 30  
translation_matrix = np.float32([[1, 0, tx], [0, 1, ty]]) 
translated_image = cv2.warpAffine(image, translation_matrix, (image.shape[1], image.shape[0]))
print("Original Image:")
show_image(image)
print("Translated Image:")
show_image(translated_image)

import numpy as np
import cv2
import matplotlib.pyplot as plt
in_img=cv2.imread("flower1.jpg")
in_img=cv2.cvtColor(in_img,cv2.COLOR_BGR2RGB)
rows,cols,dim=in_img.shape
M=np.float32([[1.5,0 ,0],
              [0,1.8,0],
              [0,0,1]])
scaled_img=cv2.warpPerspective(in_img, M,(cols,rows))
plt.axis('off')
plt.imshow(scaled_img)
plt.show()

import cv2
import numpy as np
from matplotlib import pyplot as plt
def show_image(image):
    plt.figure(figsize=(6, 6))
    plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
    plt.axis('off')
    plt.show()
image_url = 'flower3.jpg'  # Replace with your image URL or file path
image = cv2.imread(image_url)
shear_factor_x = 0.5  
shear_factor_y = 0.2 
shear_matrix = np.float32([[1, shear_factor_x, 0], [shear_factor_y, 1, 0]])
sheared_image = cv2.warpAffine(image, shear_matrix, (image.shape[1], image.shape[0]))
print("Original Image:")
show_image(image)
print("Sheared Image:")
show_image(sheared_image)

import cv2
import numpy as np
from matplotlib import pyplot as plt
def show_image(image):
    plt.figure(figsize=(6, 6))
    plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
    plt.axis('off')
    plt.show()
image_url = 'flower2.jpg'
image = cv2.imread(image_url)
reflected_image_horizontal = cv2.flip(image, 1)
reflected_image_vertical = cv2.flip(image, 0)
reflected_image_both = cv2.flip(image, -1)
print("Original Image:")
show_image(image)
print("Reflected Horizontally:")
show_image(reflected_image_horizontal)
print("Reflected Vertically:")
show_image(reflected_image_vertical)
print("Reflected Both:")
show_image(reflected_image_both)

import cv2
import numpy as np
from matplotlib import pyplot as plt
def show_image(image):
    plt.figure(figsize=(6, 6))
    plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
    plt.axis('off')
    plt.show()
image_url = 'flower4.jpg'  # Replace with your image URL or file path
image = cv2.imread(image_url)
angle = 45
height, width = image.shape[:2]
rotation_matrix = cv2.getRotationMatrix2D((width / 2, height / 2), angle, 1)
rotated_image = cv2.warpAffine(image, rotation_matrix, (width, height))
print("Original Image:")
show_image(image)
print("Rotated Image:")
show_image(rotated_image)

import numpy as np
import cv2
import matplotlib.pyplot as plt
in_img = cv2.imread("flower5.jpg")
in_img = cv2.cvtColor(in_img,cv2.COLOR_BGR2RGB)
plt.imshow(in_img)
plt.show()
cropped_img=in_img[2000:3000 ,1000:2500]
plt.imshow(cropped_img)
plt.show()