I. What is Pillow
Pillow is a Python image processing library, which is a branch of the Python Imaging Library (PIL).Pillow provides a wide range of image processing features, including image format conversion, image enhancement, image filtering, image resizing, image compositing, and more. Using Pillow, developers can easily process images and integrate them into their Python applications.Pillow is compatible with Python 2 and 3, and supports a wide range of operating systems, including Windows, Linux, and Mac OS X, among others. It is widely used in web development, data analysis, machine learning and other fields.
II. Installation of the PIL library
pip install pillow
III. Viewing the PIL library version
pip show pillow
Name: Pillow
Version: 9.4.0
Summary: Python Imaging Library (Fork)
Home-page:
Author: Alex Clark (PIL Fork Author)
Author-email: aclark@
License: HPND
Requires:
Required-by: image, imageio, matplotlib, pytesseract, wordcloud
IV. Methods of use
1. Introduction of libraries
from PIL import Image, ImageDraw
2. Define the image path
local = '/Users/kkstar/Downloads/video/pic/'
3. Open the picture that needs to be mosaicked
image = (local+'')
4. Get the size of the picture
width, height =
5. Create a new picture object
mosaic_image = ('RGB', (width, height), (0, 0, 0))
6. Define the width and height of the block
block_size = 10
7. Loop through each block in the image for processing
# Loop through each block in the image for x in range(0, width, block_size): for y in range(0, height, block_size): # Intercept the area of the current block box = (x, y, x+block_size, y+block_size) block = (box) # Calculate the average color of the current block r, g, b = ((1, 1)).getpixel((0, 0)) color = (r, g, b) # Drawing mosaic blocks on a new picture draw = (mosaic_image) (box, fill=color)
8. Save mosaic pictures
mosaic_image.save(local+'')
9. Effects
to this article on the use of Python in the PIL library to add a mosaic to the picture of the article is introduced to this, more related Python PIL to add mosaic content please search my previous posts or continue to browse the following related articles I hope you will support me in the future more!