Image_processing.py

import cv2
import numpy as np
import sys
import os
import fnmatch

def sharpen(image):
    kernel = np.array([[0,-1,0],[-1,5,-1],[0,-1,0]])
    new_image=cv2.filter2D(image, -1, kernel)
    cv2.imshow('Sharpen Image',new_image)
    cv2.waitKey(0)
    return
def blur(image):
    kernels=[3, 5 , 9, 13]
    for idx, k in enumerate(kernels):
        image_bl=cv2.blur(image, ksize=(k,k))
        cv2.imshow(str(k), image_bl)
        cv2.waitKey(0)
    return

def resize(fname, width, height):
    image = cv2.imread(fname)
    cv2.imshow('Original Image', image)
    cv2.waitKey(0)
    org_h, org_w=image.shape[0:2]
    if org_w>= org_h:
        new_image=cv2.resize(image, (width, height))
    else:
        new_image=cv2.resize(image, (height, width))
    return fname, new_image
listOfFiles=os.list('.')
pattern="*.jpg"
n=len(sys.argv)
if n==3:
    width =int(sys.rgv[1])
    height =int(sys.rgv[2])
else:
    width =1280
    height =960
if not os.path,exists('new_folder'):
    os.makedirs('new_folder')
for filename in listOfFiles:
    if fnmatch.fnmatch(filename, pattern):
        filename, new_image=resize(filename,width,height)
        cv2.imwrite("new_folder" + filename,new_image)
#cv2.imshow('resized image', new_image)
#cv2.waitKey(0)
#blur(new_image)
#image=sharpen(new_image)