python(pil)图像处理(等比例压缩、裁剪压缩) 缩略(水印)图

How
do I read image data from a URL in Python?

from PIL import Image
import requests
import numpy as np
from StringIO import StringIO

response = requests.get(url)
img = np.array(Image.open(StringIO(response.content)))

from PIL import Image
import urllib2

im = Image.open(urllib2.urlopen(url))

requests

from PIL import Image
import requests

im = Image.open(requests.get(url, stream=True).raw)

#coding:utf-8
'''
python图片处理
@author:fc_lamp
@blog:http://fc-lamp.blog.163.com/
'''
import Image as image

#等比例压缩图片
def resizeImg(**args):
args_key = {'ori_img':'','dst_img':'','dst_w':'','dst_h':'','save_q':75}
arg = {}
for key in args_key:
if key in args:
arg[key] = args[key]

im = image.open(arg['ori_img'])
ori_w,ori_h = im.size
widthRatio = heightRatio = None
ratio = 1
if (ori_w and ori_w > arg['dst_w']) or (ori_h and ori_h > arg['dst_h']):
if arg['dst_w'] and ori_w > arg['dst_w']:
widthRatio = float(arg['dst_w']) / ori_w #正确获取小数的方式
if arg['dst_h'] and ori_h > arg['dst_h']:
heightRatio = float(arg['dst_h']) / ori_h

if widthRatio and heightRatio:
if widthRatio < heightRatio:
ratio = widthRatio
else:
ratio = heightRatio

if widthRatio and not heightRatio:
ratio = widthRatio
if heightRatio and not widthRatio:
ratio = heightRatio

newWidth = int(ori_w * ratio)
newHeight = int(ori_h * ratio)
else:
newWidth = ori_w
newHeight = ori_h

im.resize((newWidth,newHeight),image.ANTIALIAS).save(arg['dst_img'],quality=arg['save_q'])

'''
image.ANTIALIAS还有如下值：
NEAREST: use nearest neighbour
BILINEAR: linear interpolation in a 2x2 environment
BICUBIC:cubic spline interpolation in a 4x4 environment
ANTIALIAS:best down-sizing filter
'''

#裁剪压缩图片
def clipResizeImg(**args):

args_key = {'ori_img':'','dst_img':'','dst_w':'','dst_h':'','save_q':75}
arg = {}
for key in args_key:
if key in args:
arg[key] = args[key]

im = image.open(arg['ori_img'])
ori_w,ori_h = im.size

dst_scale = float(arg['dst_h']) / arg['dst_w'] #目标高宽比
ori_scale = float(ori_h) / ori_w #原高宽比

if ori_scale >= dst_scale:
#过高
width = ori_w
height = int(width*dst_scale)

x = 0
y = (ori_h - height) / 3

else:
#过宽
height = ori_h
width = int(height*dst_scale)

x = (ori_w - width) / 2
y = 0

#裁剪
box = (x,y,width+x,height+y)
#这里的参数可以这么认为：从某图的(x,y)坐标开始截，截到(width+x,height+y)坐标
#所包围的图像，crop方法与php中的imagecopy方法大为不一样
newIm = im.crop(box)
im = None

#压缩
ratio = float(arg['dst_w']) / width
newWidth = int(width * ratio)
newHeight = int(height * ratio)
newIm.resize((newWidth,newHeight),image.ANTIALIAS).save(arg['dst_img'],quality=arg['save_q'])

#水印(这里仅为图片水印)
def waterMark(**args):
args_key = {'ori_img':'','dst_img':'','mark_img':'','water_opt':''}
arg = {}
for key in args_key:
if key in args:
arg[key] = args[key]

im = image.open(arg['ori_img'])
ori_w,ori_h = im.size

mark_im = image.open(arg['mark_img'])
mark_w,mark_h = mark_im.size
option ={'leftup':(0,0),'rightup':(ori_w-mark_w,0),'leftlow':(0,ori_h-mark_h),
'rightlow':(ori_w-mark_w,ori_h-mark_h)
}

im.paste(mark_im,option[arg['water_opt']],mark_im.convert('RGBA'))
im.save(arg['dst_img'])

#Demon
#源图片
ori_img = 'D:/tt.jpg'
#水印标
mark_img = 'D:/mark.png'
#水印位置(右下)
water_opt = 'rightlow'
#目标图片
dst_img = 'D:/python_2.jpg'
#目标图片大小
dst_w = 94
dst_h = 94
#保存的图片质量
save_q = 35
#裁剪压缩
clipResizeImg(ori_img=ori_img,dst_img=dst_img,dst_w=dst_w,dst_h=dst_h,save_q = save_q)
#等比例压缩
#resizeImg(ori_img=ori_img,dst_img=dst_img,dst_w=dst_w,dst_h=dst_h,save_q=save_q)
#水印
#waterMark(ori_img=ori_img,dst_img=dst_img,mark_img=mark_img,water_opt=water_opt)