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Not unknown mango-developer (2)

search extras function on your mobile phone. For example, IMDB (the version in marketplace is not available for Mango) will appear in an "app" pivot view page in this movie card. When you click the application in the list (IMDB here), the specific information page of the application is displayed (based on the input parameters ). This is the app connect function, which combines the results of your a

Introduction to getting Douban online movie information using php code

) ($ value ); $ V = $ value_array ["@ name"]; $ K = $ value_array ["\ $ t"]; If (array_key_exists ("@ lang", $ value_array )){ $ Lang = $ value_array ["@ lang"]; $ K = $ k. '['. $ lang. ']'; } $ Db_array [$ v] [] = $ k; } // Set the key value of the corresponding array @ $ Db_array_key = array ('[original video name]', '[alias]', '[Director]', '[editor ]', '[Official Website]', '[IMDB link]', '[product

Introduction to In-memory data grid IMDG

1IntroductionThe memory as the primary storage medium is nothing new, and we have many examples of main memory databases (IMDB or MMDB) around us. In memory data grid (IMDG) is similar to IMDB in the use of main storage, but they are completely different in architecture. The IMDG feature can be summarized as follows:? The data is distributed across multiple servers. ? Each server is active mode. ? The

[Music heaven] Ernest gold-departure

Coral Sea Battle [1959]Coral Sea annihilation (Taiwan)/coral island bath (Hong Kong)13 The Young Philadelphians Wen Jun complained [1959]Wen Junyi (Station)14 The Defiant Ones escape [1958]Escape (Station)/escape/break away from the cable chain (port)15 edge of hell haunted houses [1956]Haunted House (Station)16 The other woman's extreme desire [1954]Extreme desire (Others)17 Jennifer haunted house (1953]Ghost House qiyuan (Hong Kong)18 zombies of the stratosphere botnets from outer space [1952

FASTER-RCNN+ZF training model with its own data set (Python version)

' python_ param { module: ' Roi_data_layer.layer ' layer: ' Roidatalayer ' param_str: ' num_classes ': + ' #按训练集类别改, The value is the number of categories +1 }}5.py-faster-rcnn/models/pascal_voc/zf/faster_rcnn_alt_opt/faster_rcnn_test.pt modificationLayer { name: "Cls_score" type: "Innerproduct" Bottom: "fc7" Top: "Cls_score" inner_ Product_param { num_output:16 #按训练集类别改, this value is the number of categories +1 }}Layer { name: "bbox_pred" type: "Innerproduct" Bottom: "f

A pyspider crawler application.

A pyspider crawler application. 1. To save the crawled data to the local database, create a mysql database example locally and thenCreate a test table in the database, for example: DROP TABLE IF EXISTS `test`;CREATE TABLE `douban_db` ( `id` int(11) NOT NULL AUTO_INCREMENT, `url` varchar(20) NOT NULL, `direct` varchar(30), `performer` date, `type` varchar(30), `district` varchar(20) NOT NULL, `language` varchar(30), `date` varchar(30), `time` varchar(30), `alias` varchar(20) NOT

Ranking algorithm based on user voting (vi) Bayes average

The previous article introduced the "Wilson Interval", which solves the problem of too few votes and the results are not credible. For example, if only 2 people voted, the lower limit of the "Wilson interval" would sharply lower the percentage of votes. This ensures the credibility of the rankings, but also brings another problem: the top of the list is always the most votes of the items, new projects or unpopular projects, it is difficult to have a chance, the ranking may be long after. Takin

Python get Watercress Movie introduction code Share

Copy CodeThe code is as follows: #!/usr/bin/env python #coding: Utf-8 Import Re,sys Import Urllib From BS4 import BeautifulSoup Global R_url Def hq_url ():So_url = "http://movie.douban.com/subject_search?search_text="data = Urllib.urlopen (SO_URL+GJZ). Read ()R = Re.findall (r ' R_url = Re.sub (' "', ' ', r[0])Ymdata = Urllib.urlopen (R_url). Read ()Soup = BeautifulSoup (ymdata)WZ = Soup (' span ', {' property ': ' V:summary '})title = Re.findall (R ' name= "title" Value= "(. *?)" ', Ymdata)Zy

Find pictures related to Web content (i) Open Atlas Program

= "article"/>content= "will attend BOAO Forum for Asia 2015 Annual Meeting"/>content= " Will attend the Boao Forum for Asia 2015 Annual Meeting "/>content=" http://news.sina.com.cn/c/2015-03-19/175331624500.shtml "/> content= ""/> This is what the encyclopedia explains. The Open Graph Communication Protocol (PROTOCOL) is itself a set of metatags specifications used to annotate your page and tell us what type of real world objects your Web page represents. Another partner Web si

Python get Douban movie introduction code sharing

This article describes how to use python to get a brief introduction to Douban movies. The code is as follows: #! /Usr/bin/env python# Coding: UTF-8Import re, sysImport urllibFrom bs4 import BeautifulSoupGlobal r_url Def hq_url ():So_url = "http://movie.douban.com/subject_search? Search_text ="Data = urllib. urlopen (so_url + gjz). read ()R = re. findall (r 'r_url = re. sub ('"','', r [0])Ymdata = urllib. urlopen (r_url). read ()Soup = BeautifulSoup (ymdata)Wz = soup ('span ', {'properties

A few good places to watch movies (not original)

duplicated, basically mastering one or two is enough.If you have any of the following needs: 1, love to see the classic old movies, 2, love to see the HD quality of the film, 3, want to get new resources as soon as possible. It's best to learn to use these sites:Hobby Gradeed2000:http://www.ed2000.com/(the website provides all the electric donkey link, the movie resource is very powerful, the game/music/software What all the mess has)simplecd:http://www.simplecd.me/(with the Power donkey/Seed/g

Memory data grid IMDG Simple Introduction

1Simple IntroductionIt's not a novelty to use memory as the primary storage medium, and we have a lot of examples of main memory databases (IMDB or MMDB) around us. In the use of main memory. The In memory data grid,IMDG , is similar to IMDB , but they are completely different in architecture.IMDG features can be summarized as follows:? The data is distributed across multiple servers. ? Each server is a

"Heaven and Earth are insensitive, taking everything as a huge dog"-[masterpiece of the violent film "sampjinpa" in 1971] [straw dog/Big husband]

/attachments/month_0608/straw_dogs_ver2_xlg_CM8tBfCbxNgt.jpg "onLoad =" If (this. width> screen. width * 0.7) {This. resized = true; this. width = screen. width * 0.7; this. alt = 'click here to open new window \ nctrl + mouse wheel to zoom in/out';} "border = 0> ◎ translated name: straw dog/Big husband ◎ film name: Straw Dogs ◎ generation 1971 ◎ country: UK/United States ◎ Classification plot/Thriller ◎ language and English ◎ Chinese character screen ◎

Metadata (metadata)

point.Lightsource light source refers to white balance settingsWhether or not Flash is used.Focallength focal length. Generally, the physical focal length of the lens is displayed. Some software can define a coefficient to display the author Mark, description, and record of the makernote (User comment) equivalent to the focal length of 35mm cameras.Flashpixversionflashpix version (supported by some models)Colorspace Color Gamut and Color SpaceExifimagewidth (pixel x dimension) Image Width refer

Basic Shell learning and basic Shell Learning

PYTHONUNBUFFERED = "True" # Set the environment variable GPU_ID = $1 # variable and value NET =22net_lc =$ {NET ,,} DATASET = $3 array = ($ @) len = $ {# array [@]} EXTRA_ARGS =$ {array [@]: 3: $ len} rows =$ {EXTRA_ARGS // _} case $ DATASET in pascal_voc) TRAIN_IMDB = "inline" TEST_IMDB = "voc_2007_test" PT_DIR = "pascal_voc" ITERS = 40000 ;; coco) TRAIN_IMDB = "coco_2014_train" TEST_IMDB = "coco_2014_minival" PT_DIR = "coco" ITERS = 280000; *) echo "No dataset given" exit ;; esacLOG = "experi

[Color is blank] [Korea]

] [DVD-RMVB] [Chinese subtitles] Film name sex is zero◎ Chinese name is blank◎ Generation 2002◎ Countries and South Korea◎ Gender comedy◎ Language and Korean◎ Screen Chinese◎ IMDB score 6.6/10 (558 votes)IMDB link http://www.imdb.com/title/tt0341555/◎ File Format: rmvb◎ Video size: 704x380◎ File size 2cd◎ 96 min slice Length◎ Guide yijijun◎ Director Ren changding IM Chang-jeongXia Zhiyuan HA Ji-wonChoi Seo

Python incremental crawler Pyspider

1. In order to be able to save the crawled data to the local database, now create a MySQL database example locally, and thenCreate a table test in the database with the following example:DROPTABLEIFEXISTS' Test ';CREATETABLE' Douban_db ' (' ID 'int11)NotNULL Auto_increment,' URL 'varchar20)NotNull' Direct 'varchar30),' Performer 'Date' Type 'varchar30),' District 'varchar20)NotNull' Language 'varchar30),' Date 'varchar30), ' time ' varchar (30), ' alias ' varchar (20) not null, ' score ' varch

Imagenet Category 1000 Approximate classification

This link is to divide 1000 classes into big categories: http://blog.csdn.net/zhangjunbob/article/details/53258524Imagenet number and specific category table: https://gist.github.com/aaronpolhamus/964a4411c0906315deb9f4a3723aac57RCNN read Imagenet object in the first 30 classes of code: HTTPS://GITHUB.COM/RBGIRSHICK/RCNN/BLOB/ILSVRC/IMDB/IMDB_FROM_ILSVRC13.MHttps://github.com/rbgirshick/rcnn/blob/ilsvrc/imdb

Python get Watercress Movie profile code sharing _python

Copy Code code as follows: #!/usr/bin/env python #coding: Utf-8 Import Re,sys Import Urllib From BS4 import BeautifulSoup Global R_url Def hq_url (): so_url = "http://movie.douban.com/subject_search?search_text=" data = Urllib.urlopen (SO_URL+GJZ). Read () r = Re.findall (R ' r_url = re.sub (', ', ', r[0]) ymdata = Urllib.urlopen (r_url ). Read () soup = BeautifulSoup (ymdata) wz = Soup (' span ', {' property ': ' V: Summary '}) title = Re.findall (R ' name= "titl

Cerebro a cross-platform Desktop quick-use tool

from the Google knowledge Graph for your query; Hash Hash input text with popular hash algorithms (i.e. MD5, SHA1, etc); IMDB Search for films on Imdb.com with rating and details, like IMDB Star Wars; Ip Show your local external IP addresses; Lipsum Generate Lorem ipsum text from lipsum.com; Shell EXEC shell commands without r

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