寻找与网页内容相关的图片(二)reddit的做法
正如前文所述,内容聚合网站,比如新浪微博、推特、facebook等网站对于网页的缩略图是刚需。为了让分享的内容引人入胜,网页的图片缩略图是必不可少的。年轻人的聚集地、社交新闻网站reddit也是一个这样的网站,由于他们将自己网站的源代码在github上开源,我便很容易了解他们的做法。
寻找网页图片缩略图的算法,可以在这里找到[1]。
实现这一功能的就是_find_thumbnail_image(self)函数,下边我会仔细分析一下他们的代码。
content_type, content = _fetch_url(self.url) # if it's an image. it's pretty easy to guess what we should thumbnail.
if content_type and "image" in content_type and content:
return self.url if content_type and "html" in content_type and content:
soup = BeautifulSoup.BeautifulSoup(content)
else:
return None
_fetch_url会请求链接url,获取链接文件类型,和链接的内容。
可以从_fetch_url函数看到,文件的类型是通过,http响应的头部获取的。文件类型由多用途互联网邮件扩展类型(Multipurpose Internet Mail Extensions,MIME)指定。
如果url指向文件是图片(image)就直接返回url,如果指向的文件是超文本标记语言(HTML, hypertext markup language)就用BeautifulSoup包对HTML源代码解析,如果是其它文件类型返回None。
Beautiful Soup 是一个可以从HTML或XML文件中提取数据的Python库。它能够通过你喜欢的转换器实现惯用的文档导航、查找、修改文档的方式。
# allow the content author to specify the thumbnail:
# <meta property="og:image" content="http://...">
og_image = (soup.find('meta', property='og:image') or
soup.find('meta', attrs={'name': 'og:image'}))
if og_image and og_image['content']:
return og_image['content'] # <link rel="image_src" href="http://...">
thumbnail_spec = soup.find('link', rel='image_src')
if thumbnail_spec and thumbnail_spec['href']:
return thumbnail_spec['href']
接下来判断,用户(网页的作者)是否指定缩略图。使用的方法便是前文所说的开放图谱计划(Open Graph Protocol)
<meta property="og:image" content="http://...">
<link rel="image_src" href="http://...">
meta标签或者是link便签可以指定网页的缩略图,如果网页包含这两个标签就大功告成了,直接返回图片的源地址即可。这样很方便,但有明显的不足。如此没有检验图片是否有效,有的网站偷工减料返回的并非网页相关图片的缩略图,而是网站的logo,stackoverflow就是一个典型。不过话又说回来,出现这种特殊情况的概率是相当小的。
# ok, we have no guidance from the author. look for the largest
# image on the page with a few caveats. (see below)
max_area = 0
max_url = None
for image_url in self._extract_image_urls(soup):
# When isolated from the context of a webpage, protocol-relative
# URLs are ambiguous, so let's absolutify them now.
if image_url.startswith('//'):
image_url = coerce_url_to_protocol(image_url, self.protocol)
size = _fetch_image_size(image_url, referer=self.url)
if not size:
continue area = size[0] * size[1]
接下来是一个循环,在通过_extract_image_urls找到网页的所有图片后,遍历每一张图片,找到最大的一张图片。
具体来说还加上了一些限制条件
# ignore little images
if area < 5000:
g.log.debug('ignore little %s' % image_url)
continue # ignore excessively long/wide images
if max(size) / min(size) > 1.5:
g.log.debug('ignore dimensions %s' % image_url)
continue # penalize images with "sprite" in their name
if 'sprite' in image_url.lower():
g.log.debug('penalizing sprite %s' % image_url)
area /= 10
图片的面积必须大于5000像素、宽长比必须小于1.5、url如果包含sprite,则进行惩罚,将面积除以10
_fetch_image_size(image_url, referer=self.url)是一个比较困难的地方,为了找到每一张图片的大小,必须对下载图片。一个小技巧是,图片的大小作为图片文件格式的一部分往往写在了图片文件的头部,只需要下载图片的一部分就可以得到大小了。想要具体了解可以分析一下那个函数。
if area > max_area:
max_area = area
max_url = image_url
到这就结束了。reddit的方法用一句话来总结就是,相信网页指定的缩略图,没有就找最大的图片,同时限制最小面积以及宽长比。
这是它们实际的效果:
aaarticlea/png;base64,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" alt="" />
facebook等其他一些社交网站的做法也大同小异,这里有一个回答是介绍facebook如何做的[2]。
参考资料
[1] https://github.com/reddit/reddit/blob/0fbea80d45c4ce35e50ae6f8b42e5e60d79743ca/r2/r2/lib/media.py
[2] http://stackoverflow.com/questions/1138460/how-does-facebook-sharer-select-images
寻找与网页内容相关的图片(二)reddit的做法的更多相关文章
- 寻找与网页内容相关的图片(三)网易新闻与qq空间的做法
寻找与网页相关的图片现在看来无非有两种方式,第一种是网页自己指定,第二种是通过算法推断. 对于网站的内容提供者来说,他自己知道相关的图片在哪,正如前文所述可以在HTML的头部加上META标签,也可以像 ...
- [置顶] c#验证码识别、图片二值化、分割、分类、识别
c# 验证码的识别主要分为预处理.分割.识别三个步骤 首先我从网站上下载验证码 处理结果如下: 1.图片预处理,即二值化图片 *就是将图像上的像素点的灰度值设置为0或255. 原理如下: 代码如下: ...
- 寻找与疾病相关的SNP位点——R语言从SNPedia批量提取搜索数据
是单核苷酸多态性,人的基因是相似的,有些位点上存在差异,这种某个位点的核苷酸差异就做单核苷酸多态性,它影响着生物的性状,影响着对某些疾病的易感性.SNPedia是一个SNP调査百科,它引用各种已经发布 ...
- c/c++ 图相关的函数(二维数组法)
c/c++ 图相关的函数(二维数组法) 遍历图 插入顶点 添加顶点间的线 删除顶点 删除顶点间的线 摧毁图 取得与v顶点有连线的第一个顶点 取得与v1顶点,v1顶点之后的v2顶点的之后的有连线的第一个 ...
- android 图片二维码识别和保存(二)
续上一篇,开发图片二维码识别功能后,我们对功能进行性能分析内存占用显著提高了,不使用该功能内存占用大约是147M,使用这个功能多次以后,高达203M. 因此对功能进行研究,发现每次生成的图片没有即时的 ...
- 如何通过github上传项目并在readme.md中展示图片二维码
将本地项目上传至github 第一步:git init (创建仓库) 第二步:git add README.md (添加项目)git add * 第三步:git commit -m &qu ...
- 2017.2.7 开涛shiro教程-第六章-Realm及相关对象(二)
原博客地址:http://jinnianshilongnian.iteye.com/blog/2018398 根据下载的pdf学习. 第六章 Realm及相关对象(二) 1.Authenticatio ...
- python图片二值化提高识别率
import cv2from PIL import Imagefrom pytesseract import pytesseractfrom PIL import ImageEnhanceimport ...
- C#图片灰度处理(位深度24→位深度8)、C#图片二值化处理(位深度8→位深度1)
C#图片灰度处理(位深度24→位深度8) #region 灰度处理 /// <summary> /// 将源图像灰度化,并转化为8位灰度图像. /// </summary> / ...
随机推荐
- caffe数据集——LMDB
LMDB介紹 Caffe使用LMDB來存放訓練/測試用的數據集,以及使用網絡提取出的feature(為了方便,以下還是統稱數據集).數據集的結構很簡單,就是大量的矩陣/向量數據平鋪開來.數據之間沒有什 ...
- mysql的select的五子句
转: http://www.cnblogs.com/billyu/p/5033167.html http://www.cnblogs.com/xiadong90-2015/p/4222965.html ...
- liunx环境下安装mysql数据库2
mysql的安装和配置[1]解压mysql安装包,进入mysql目录,添加用户,并安装,将权限授权给mysql用户
- 你还在用notifyDataSetChanged?
想到发这篇帖子是源于我的上一篇帖子#Testin杯#多线程断点续传后台下载 .帖子中讲述的项目使用了listView这个控件,而且自定义了adapter.在更新item的进度条时发现每次使用notif ...
- svn update解决冲突
(p) postpone 暂时推后处理,我可能要和那个和我冲突的家伙商量一番 (df) diff-full 把所有的修改列出来,比比看 (e) edit 直接编辑冲突的文件 (mc) mine-con ...
- 「模板」网络最大流 FF && EK && Dinic && SAP && ISAP
话不多说上代码. Ford-Fulkerson(FF) #include <algorithm> #include <climits> #include <cstdio& ...
- [uva11997]k个最小和
一个k*k的矩阵,每行选取一个数相加则得到一个和,求最小的前k个和. k<=750 已知前m行最小的前k个和d[1]…d[k],则前m+1行最小的前k个和都必定是d[i](i<=k)+a[ ...
- iOS开发者两分钟学会用GitHub在Mac上托管代码的两种方法
原文发布者:http://blog.csdn.net/duxinfeng2010 在Mac上使用Xcode进行iOS-Apple苹果iPhone手机开发过程中少不了使用GitHub在Mac上托 ...
- Centos 6.5下安装vsftpd服务器
1.查看是否安装vsftp [root@localhost ~]#rpm -qa|grep vsftpd 如果出现 vsftpd-2.2.2-13.el6_6.1.x86_64 则说明已经安装了v ...
- react-native中使用Echarts,自己使用WebView封装Echarts经验
1.工作中遇到的问题 我们在使用react-native肯定遇到过各种奇葩的问题,比如引入Echarts时候莫名报错,但是Echarts官网明显告诉我们可以懒加载的,这是因为基本上js大部分原生的组件 ...