本文实例为大家分享了python实现多张图片垂直合并的具体代码,供大家参考,具体内容如下
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# coding: utf-8
# image_merge.py
# 图片垂直合并
# http://www.redicecn.com
# redice@163.com
import os
import Image
def image_resize(img, size = ( 1500 , 1100 )):
"""调整图片大小
"""
try :
if img.mode not in ( 'L' , 'RGB' ):
img = img.convert( 'RGB' )
img = img.resize(size)
except Exception, e:
pass
return img
def image_merge(images, output_dir = 'output' , output_name = 'merge.jpg' , \
restriction_max_width = None , restriction_max_height = None ):
"""垂直合并多张图片
images - 要合并的图片路径列表
ouput_dir - 输出路径
output_name - 输出文件名
restriction_max_width - 限制合并后的图片最大宽度,如果超过将等比缩小
restriction_max_height - 限制合并后的图片最大高度,如果超过将等比缩小
"""
max_width = 0
total_height = 0
# 计算合成后图片的宽度(以最宽的为准)和高度
for img_path in images:
if os.path.exists(img_path):
img = Image. open (img_path)
width, height = img.size
if width > max_width:
max_width = width
total_height + = height
# 产生一张空白图
new_img = Image.new( 'RGB' , (max_width, total_height), 255 )
# 合并
x = y = 0
for img_path in images:
if os.path.exists(img_path):
img = Image. open (img_path)
width, height = img.size
new_img.paste(img, (x, y))
y + = height
if restriction_max_width and max_width > = restriction_max_width:
# 如果宽带超过限制
# 等比例缩小
ratio = restriction_max_height / float (max_width)
max_width = restriction_max_width
total_height = int (total_height * ratio)
new_img = image_resize(new_img, size = (max_width, total_height))
if restriction_max_height and total_height > = restriction_max_height:
# 如果高度超过限制
# 等比例缩小
ratio = restriction_max_height / float (total_height)
max_width = int (max_width * ratio)
total_height = restriction_max_height
new_img = image_resize(new_img, size = (max_width, total_height))
if not os.path.exists(output_dir):
os.makedirs(output_dir)
save_path = '%s/%s' % (output_dir, output_name)
new_img.save(save_path)
return save_path
if __name__ = = '__main__' :
image_merge(images = [ '900-000-000-0501a_b.jpg' , '900-000-000-0501b_b.JPG' , '1216005237382a_b.jpg' ])
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以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/u010417185/article/details/52316326