Generating Numbered Images with Python Pillow (PIL)
This tutorial demonstrates how to programmatically add sequential numbers to a base image, generate a series of new images, and save each one using Python's Pillow library, providing a practical example of automated image processing.
Continuing from the previous article, this tutorial shows how to add sequential numbers to a single base image, generate new images for each number, and save them using Python's Pillow library.
Below is the complete Python script. It creates a list of numbers 1‑20, loads the original image, draws each number in red with a specified font, and saves each result as a separate JPEG file.
# -*- coding:utf-8 -*-
from PIL import Image, ImageDraw, ImageFont
'''
生成测试图片
'''
def set_tupian():
numbers = []
for x in range(1, 21):
numbers.append(str(x))
# 设置字体样式
font_type = '/System/Library/Fonts/STHeiti Light.ttc'
font = ImageFont.truetype(font_type, 100)
# 打开图片
for i in numbers:
imageFile = "../原始图片.JPG"
im1 = Image.open(imageFile)
draw = ImageDraw.Draw(im1)
#设置文字位置/内容/颜色/字体
draw.text((160, 0), i, (255, 0, 0), font=font)
# 另存图片
im1.save("../" + i + ".jpg")
set_tupian()The script demonstrates a simple image‑processing workflow that can be adapted for batch labeling, watermarking, or creating numbered datasets.
Signed-in readers can open the original source through BestHub's protected redirect.
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