PYTHON

gaussian filter

import PIL
from pathlib import Path
from PIL import UnidentifiedImageError

path = Path("INSERT PATH HERE").rglob("*.jpeg")
for img_p in path:
    try:
        img = PIL.Image.open(img_p)
    except PIL.UnidentifiedImageError:
            print(img_p)

python gaussian filter

>>> from scipy import misc
>>> import matplotlib.pyplot as plt
>>> fig = plt.figure()
>>> plt.gray()  # show the filtered result in grayscale
>>> ax1 = fig.add_subplot(121)  # left side
>>> ax2 = fig.add_subplot(122)  # right side
>>> ascent = misc.ascent()
>>> result = gaussian_filter(ascent, sigma=5)
>>> ax1.imshow(ascent)
>>> ax2.imshow(result)
>>> plt.show()

gaussian filter

import numpy as np
import cv2
from matplotlib import pyplot as plt
from PIL import Image, ImageFilter
%matplotlib inline
image = cv2.imread('image.png') 
image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) 
figure_size = 9
new_image = cv2.GaussianBlur(image, (figure_size, figure_size),0)
plt.figure(figsize=(11,6))
plt.subplot(121), plt.imshow(cv2.cvtColor(image, cv2.COLOR_HSV2RGB)),plt.title('Original')
plt.xticks([]), plt.yticks([])
plt.subplot(122), plt.imshow(cv2.cvtColor(new_image, cv2.COLOR_HSV2RGB)),plt.title('Gaussian Filter')
plt.xticks([]), plt.yticks([])
plt.show()