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  • Removing the transperancy from image while keeping the actual image

    - by KPL
    Hello people, I have three images,and , they are not square or rectangular in shape. They are just like face of anyone. So,basically, my images are in the size 196x196 or anything like that, but complete square or rectangle with the face in the middle and transperant background in the rest of the portion. Now, I want to remove the transperant background too and just keep the faces. Don't know if this is possible and mind you, this isn't a programming question.

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  • Software that can identify and remove foreground objects from image

    - by Antonio2011a
    I am interested in removing extraneous objects from an image. More specifically the situation is that there is a series of images of a particular background. In each image there are objects in the foreground, however these objects differ across the series of images in terms of their location. Note that some objects always exists in the foreground. The background is static. An example might be a busy tourist spot and you want to remove the people or tourist buses from the image. I'd like the software to take the series of images and as much as possible reconstruct the background. Is there software available that has this capability? If so what are the steps necessary to use that functionality? Similarly if anyone knows a lot about image processing, are there any image processing algorithms that could handle this? Thanks.

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  • Extract part of a image from a big image

    - by rajat
    I have a 6 images , and each image has a certain section that i want to save as a separate image , the problem is that it has to be accurate because i am doing some animation using the sub-image so they should exactly . so I want to accurately extract a that part from each of the 6 images , i can't do it using a image editor in which i have to make the bounding box myself because it will not be accurate , is there any program that lets me do this by like defining a box using numerical values. PS: I don't want to write matlab or opencv program for this .

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  • MDT Image Hierarchy

    - by Antix
    Just a quick question, I couldn't find this out by looking around and have not had the time to run a test myself: Is it possible to create image hierarchies in MDT? Take this example where we have three images. - Image 1: Base OS - Image 2: Company Wide Applications (built off Image 1) - Image 3: Specific Role Applications (built off Image 2) Now just say we change the version of an application in Image 2. The next time we build Image 3, will this take the new version of the application since it's basing its image off Image 2? Also, If we add a program to Image 1, leave Image 2 unchanged and re-build Image 3, would this include the new program? I'm trying to plan out a way of creating images such that if a change is required for an image that is on basically every machine (think, Image 1) then we only have to change it in one location. Has anyone actually done something like this and has any tips?

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  • what is the idea behind scaling an image using lanczos?

    - by banister
    Hi, I'm interested in image scaling algorithms and have implemented the bilinear and bicubic methods. However, I have heard of the lanczos and other more sophisticated methods for even higher quality image scaling and I am very curious how they work. Could someone here explain the basic idea behind scaling an image using lanczos (both upscaling and downscaling) and why it results in higher quality? I do have a background in fourier analysis and have done some signal processing stuff in the past, but not with relation to image processing, so don't be afraid to use terms like "frequency response" and such in your answer :) EDIT: I guess what i really want to know is the concept and theory behind using a convolution filter for interpolation. (Note: i have already read the wikipedia article on lanczos resampling but it didn't have nearly enough detail for me) thanks alot!

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  • How do I do high quality scaling of a image?

    - by pbhogan
    I'm writing some code to scale a 32 bit RGBA image in C/C++. I have written a few attempts that have been somewhat successful, but they're slow and most importantly the quality of the sized image is not acceptable. I compared the same image scaled by OpenGL (i.e. my video card) and my routine and it's miles apart in quality. I've Google Code Searched, scoured source trees of anything I thought would shed some light (SDL, Allegro, wxWidgets, CxImage, GD, ImageMagick, etc.) but usually their code is either convoluted and scattered all over the place or riddled with assembler and little or no comments. I've also read multiple articles on Wikipedia and elsewhere, and I'm just not finding a clear explanation of what I need. I understand the basic concepts of interpolation and sampling, but I'm struggling to get the algorithm right. I do NOT want to rely on an external library for one routine and have to convert to their image format and back. Besides, I'd like to know how to do it myself anyway. :) I have seen a similar question asked on stack overflow before, but it wasn't really answered in this way, but I'm hoping there's someone out there who can help nudge me in the right direction. Maybe point me to some articles or pseudo code... anything to help me learn and do. Here's what I'm looking for: 1. No assembler (I'm writing very portable code for multiple processor types). 2. No dependencies on external libraries. 3. I am primarily concerned with scaling DOWN, but will also need to write a scale up routine later. 4. Quality of the result and clarity of the algorithm is most important (I can optimize it later). My routine essentially takes the following form: DrawScaled( uint32 *src, uint32 *dst, src_x, src_y, src_w, src_h, dst_x, dst_y, dst_w, dst_h ); Thanks! UPDATE: To clarify, I need something more advanced than a box resample for downscaling which blurs the image too much. I suspect what I want is some kind of bicubic (or other) filter that is somewhat the reverse to a bicubic upscaling algorithm (i.e. each destination pixel is computed from all contributing source pixels combined with a weighting algorithm that keeps things sharp. EXAMPLE: Here's an example of what I'm getting from the wxWidgets BoxResample algorithm vs. what I want on a 256x256 bitmap scaled to 55x55. And finally: the original 256x256 image

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  • Vectorization of matlab code for faster execution

    - by user3237134
    My code works in the following manner: 1.First, it obtains several images from the training set 2.After loading these images, we find the normalized faces,mean face and perform several calculation. 3.Next, we ask for the name of an image we want to recognize 4.We then project the input image into the eigenspace, and based on the difference from the eigenfaces we make a decision. 5.Depending on eigen weight vector for each input image we make clusters using kmeans command. Source code i tried: clear all close all clc % number of images on your training set. M=1200; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of the images. um=60; ustd=32; %read and show images(bmp); S=[]; %img matrix for i=1:M str=strcat(int2str(i),'.jpg'); %concatenates two strings that form the name of the image eval('img=imread(str);'); [irow icol d]=size(img); % get the number of rows (N1) and columns (N2) temp=reshape(permute(img,[2,1,3]),[irow*icol,d]); %creates a (N1*N2)x1 matrix S=[S temp]; %X is a N1*N2xM matrix after finishing the sequence %this is our S end %Here we change the mean and std of all images. We normalize all images. %This is done to reduce the error due to lighting conditions. for i=1:size(S,2) temp=double(S(:,i)); m=mean(temp); st=std(temp); S(:,i)=(temp-m)*ustd/st+um; end %show normalized images for i=1:M str=strcat(int2str(i),'.jpg'); img=reshape(S(:,i),icol,irow); img=img'; end %mean image; m=mean(S,2); %obtains the mean of each row instead of each column tmimg=uint8(m); %converts to unsigned 8-bit integer. Values range from 0 to 255 img=reshape(tmimg,icol,irow); %takes the N1*N2x1 vector and creates a N2xN1 matrix img=img'; %creates a N1xN2 matrix by transposing the image. % Change image for manipulation dbx=[]; % A matrix for i=1:M temp=double(S(:,i)); dbx=[dbx temp]; end %Covariance matrix C=A'A, L=AA' A=dbx'; L=A*A'; % vv are the eigenvector for L % dd are the eigenvalue for both L=dbx'*dbx and C=dbx*dbx'; [vv dd]=eig(L); % Sort and eliminate those whose eigenvalue is zero v=[]; d=[]; for i=1:size(vv,2) if(dd(i,i)>1e-4) v=[v vv(:,i)]; d=[d dd(i,i)]; end end %sort, will return an ascending sequence [B index]=sort(d); ind=zeros(size(index)); dtemp=zeros(size(index)); vtemp=zeros(size(v)); len=length(index); for i=1:len dtemp(i)=B(len+1-i); ind(i)=len+1-index(i); vtemp(:,ind(i))=v(:,i); end d=dtemp; v=vtemp; %Normalization of eigenvectors for i=1:size(v,2) %access each column kk=v(:,i); temp=sqrt(sum(kk.^2)); v(:,i)=v(:,i)./temp; end %Eigenvectors of C matrix u=[]; for i=1:size(v,2) temp=sqrt(d(i)); u=[u (dbx*v(:,i))./temp]; end %Normalization of eigenvectors for i=1:size(u,2) kk=u(:,i); temp=sqrt(sum(kk.^2)); u(:,i)=u(:,i)./temp; end % show eigenfaces; for i=1:size(u,2) img=reshape(u(:,i),icol,irow); img=img'; img=histeq(img,255); end % Find the weight of each face in the training set. omega = []; for h=1:size(dbx,2) WW=[]; for i=1:size(u,2) t = u(:,i)'; WeightOfImage = dot(t,dbx(:,h)'); WW = [WW; WeightOfImage]; end omega = [omega WW]; end % Acquire new image % Note: the input image must have a bmp or jpg extension. % It should have the same size as the ones in your training set. % It should be placed on your desktop ed_min=[]; srcFiles = dir('G:\newdatabase\*.jpg'); % the folder in which ur images exists for b = 1 : length(srcFiles) filename = strcat('G:\newdatabase\',srcFiles(b).name); Imgdata = imread(filename); InputImage=Imgdata; InImage=reshape(permute((double(InputImage)),[2,1,3]),[irow*icol,1]); temp=InImage; me=mean(temp); st=std(temp); temp=(temp-me)*ustd/st+um; NormImage = temp; Difference = temp-m; p = []; aa=size(u,2); for i = 1:aa pare = dot(NormImage,u(:,i)); p = [p; pare]; end InImWeight = []; for i=1:size(u,2) t = u(:,i)'; WeightOfInputImage = dot(t,Difference'); InImWeight = [InImWeight; WeightOfInputImage]; end noe=numel(InImWeight); % Find Euclidean distance e=[]; for i=1:size(omega,2) q = omega(:,i); DiffWeight = InImWeight-q; mag = norm(DiffWeight); e = [e mag]; end ed_min=[ed_min MinimumValue]; theta=6.0e+03; %disp(e) z(b,:)=InImWeight; end IDX = kmeans(z,5); clustercount=accumarray(IDX, ones(size(IDX))); disp(clustercount); Running time for 50 images:Elapsed time is 103.947573 seconds. QUESTIONS: 1.It is working fine for M=50(i.e Training set contains 50 images) but not for M=1200(i.e Training set contains 1200 images).It is not showing any error.There is no output.I waited for 10 min still there is no output. I think it is going infinite loop.What is the problem?Where i was wrong?

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  • What is the difference between System.Speech.Recognition and Microsoft.Speech.Recognition?

    - by Michael
    There are two similar namespaces and assemblies for speech recognition in .NET. I’m trying to understand the differences and when it is appropriate to use one or the other. There is System.Speech.Recognition from the assembly System.Speech (in System.Speech.dll). System.Speech.dll is a core DLL in the .NET Framework class library 3.0 and later There is also Microsoft.Speech.Recognition from the assembly Microsoft.Speech (in microsoft.speech.dll). Microsoft.Speech.dll is part of the UCMA 2.0 SDK I find the docs confusing and I have the following questions: System.Speech.Recognition says it is for "The Windows Desktop Speech Technology", does this mean it cannot be used on a server OS or cannot be used for high scale applications? The UCMA 2.0 Speech SDK ( http://msdn.microsoft.com/en-us/library/dd266409%28v=office.13%29.aspx ) says that it requires Microsoft Office Communications Server 2007 R2 as a prerequisite. However, I’ve been told at conferences and meetings that if I do not require OCS features like presence and workflow I can use the UCMA 2.0 Speech API without OCS. Is this true? If I’m building a simple recognition app for a server application (say I wanted to automatically transcribe voice mails) and I don’t need features of OCS, what are the differences between the two APIs?

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  • voice recognition in android

    - by jaymin
    Hi, I am an android application developer. I was curious as to how does voice recognition could be implemented using android. There is inbuilt support for speech recognition in android, but how can it be used to implement voice recognition...Are there any links which would help me in learning on this topic.. Thanks

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  • Facial recognition/detection PHP or software for photo and video galleries

    - by Peter
    I have a very large photo gallery with thousands of similar people, objects, locations, things. The majority of the people in the photos have their own user accounts and avatar photos to match. There are also logical short lists of people potentially in the photo based on additional data available for each photo. I allow users to tag photos with their friends and people they know but an automated process would be better. I've used photo tagger/finder from face.com integrating with Facebook photos and the Google Picasa photo tagger for personal albums also does the same thing and is exactly what I'm looking to do. Is there a PHP script, API for Google Picasa, face.com or other recognition service or any other open source project that provides server-side facial recognition and/or grouping photos by similarity? Examples: As you can see, various photo sharing sites offer the feature, but are there any that provide an API for images stored on my own server or something extensive enough to link into my own gallery and tagging system? viewdle - Face recognition/Tagging for video PHP - Face detection in pure PHP Xarg OpenCV Face.com - app for finding and tagging photos in Facebook Google Picasa - photo sharing TeraSnaps - photo sharing site Google Portrait - photo grouping from Google Image results FaceOnIt - Video face recognition PittPatt - Detection, Recognition, Video Face Mining BetaFace ChaosFace - Real-time Face Detector

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  • Windows 8 Speech Recognition Language

    - by Greg
    I've got Windows 8 Pro installed (RTM version from MSDN). For an application I use I need to have the speech recognition language set to English - US. The only option I have is English - UK. I have tried going to Language in Control Panel and setting the only language to English - US, however English - UK is still the only option in speech properties. How can I add a language to the Speech Properties?

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  • Twitter Bootstrap styling conflicts with plug-ins like jqGrid and other third part libraries

    - by Renso
    Issues:The concern is that the Twitter Bootstrap framework is that some of their css selectors are simply too generic and have incompatibility issues and conflicts with most third party plug-ins and css libraries, like jQuery-UI and jqGrid.My most pressing concern is only with the generic selector for the styling of "INPUT" controls.Some concerns:So basically anyone using BS (Bootstrap) will have to override styling 100% of the time on all input controls on all their web pages for all the plug-ins they use that render their own styling for input controls. This seems to chisel away any reason for using Bootstrap. Overriding Bootstrap css in this case seems illogical at best as it implies the BS styling is not correct or as granular as it is supposed to be. It also suggests you realize there is an issue here. Any person who has written a fair amount of css will realize that it is a mammoth task to to take an existing app, converting it to BS and then having to find all non-BS input controls and styling them all. The worst part is that there is no generic styling for this as each input control has a different source/context, some are regular tags and some belong to plug-ins, each with their own flavor of styling. For new web apps the challenge is not that different, each time you add a new plug-in you will have to test all facets of it, and I mean all of it, pop-ups, etc, that contain any kind of input control to make sure it is styled correctly. I am having a hard time seeing the benefits of BS in this context. So until the BS team addresses the issue, or not, you may be wondering what is the easiest solution.Help the community to drive this issue home by creating a new issue on github, see my entry here: https://github.com/twitter/bootstrap/issues/4008. As you can see I got some good and some negative feedback, but we all agree it is an issue. I do believe my solution below should be reverse compatible if the proper class declarations were followed as recommended by Bootstrap.The solution:Add a higher-level qualifier to the input selector, which may not break anything.  Add "control-group" and "controls" classes as higher-level selectors, as they have to be declared inside those classes anyway as far as I understand the design approach of BS. So in my example below can modify the css without possible breaking anything, see the css at the bottom. I tested this briefly and seems to render just as expected. May not be complete as I only spent a few minutes on the css. Your feedback will be greatly appreciated. <div class="control-group">    <label title="" for="Contact_FirstName" class="control-label">First Name</label>    <div class="controls">        <input type="text" value="" name="Contact.FirstName" id="Contact_FirstName" data-val-required="The Reader Contact&amp;#39;s First Name is required" data-val-length-min="2" data-val-length-max="250" data-val-length="The maximum length allowed for the Reader Contact&amp;#39;s First Name is 250 characters and must be two or more characters long" data-val="true" class="input-medium">        <span data-valmsg-replace="true" data-valmsg-for="Contact.FirstName" class="field-validation-valid"></span>    </div></div>Here are the SCSS (SASS) updates. In stead of just including the updates I decided to include the entire bootstrap SCSS file so you can just copy-and-paste it in stead of trying to figure out what selectors have changed./*! * Bootstrap v2.0.4 * Enhacement by Renso Hollhumer * Copyright 2012 Twitter, Inc * Licensed under the Apache License v2.0 * http://www.apache.org/licenses/LICENSE-2.0 * * Designed and built with all the love in the world @twitter by @mdo and @fat. * Enhancement by Renso Hollhumer: To isolate styling of INPUT tags to the Bootstrap context only */.clearfix {  *zoom: 1;}.clearfix:before,.clearfix:after {  display: table;  content: "";}.clearfix:after {  clear: both;}.hide-text {  font: 0/0 a;  color: transparent;  text-shadow: none;  background-color: transparent;  border: 0;}.input-block-level {  display: block;  width: 100%;  min-height: 28px;  -webkit-box-sizing: border-box;  -moz-box-sizing: border-box;  -ms-box-sizing: border-box;  box-sizing: 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.span8 {  float: none;  width: 604px;  margin-left: 0;}table .span9 {  float: none;  width: 684px;  margin-left: 0;}table .span10 {  float: none;  width: 764px;  margin-left: 0;}table .span11 {  float: none;  width: 844px;  margin-left: 0;}table .span12 {  float: none;  width: 924px;  margin-left: 0;}table .span13 {  float: none;  width: 1004px;  margin-left: 0;}table .span14 {  float: none;  width: 1084px;  margin-left: 0;}table .span15 {  float: none;  width: 1164px;  margin-left: 0;}table .span16 {  float: none;  width: 1244px;  margin-left: 0;}table .span17 {  float: none;  width: 1324px;  margin-left: 0;}table .span18 {  float: none;  width: 1404px;  margin-left: 0;}table .span19 {  float: none;  width: 1484px;  margin-left: 0;}table .span20 {  float: none;  width: 1564px;  margin-left: 0;}table .span21 {  float: none;  width: 1644px;  margin-left: 0;}table .span22 {  float: none;  width: 1724px;  margin-left: 0;}table .span23 {  float: none;  width: 1804px;  margin-left: 0;}table 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input[type="email"],    input[type="url"],    input[type="search"],    input[type="tel"],    input[type="color"],    .uneditable-input {      display: inline-block;      height: 18px;      padding: 4px;      margin-bottom: 9px;      font-size: 13px;      line-height: 18px;      color: #555555;    }}.control-group .controls {    input,    textarea {      width: 210px;    }}.control-group .controls {    textarea {      height: auto;    }}.control-group .controls {    textarea,    input[type="text"],    input[type="password"],    input[type="datetime"],    input[type="datetime-local"],    input[type="date"],    input[type="month"],    input[type="time"],    input[type="week"],    input[type="number"],    input[type="email"],    input[type="url"],    input[type="search"],    input[type="tel"],    input[type="color"],    .uneditable-input {      background-color: #ffffff;      border: 1px solid #cccccc;      -webkit-border-radius: 3px;      -moz-border-radius: 3px;      border-radius: 3px;      -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);      -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);      box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);      -webkit-transition: border linear 0.2s, box-shadow linear 0.2s;      -moz-transition: border linear 0.2s, box-shadow linear 0.2s;      -ms-transition: border linear 0.2s, box-shadow linear 0.2s;      -o-transition: border linear 0.2s, box-shadow linear 0.2s;      transition: border linear 0.2s, box-shadow linear 0.2s;    }}.control-group .controls {    textarea:focus,    input[type="text"]:focus,    input[type="password"]:focus,    input[type="datetime"]:focus,    input[type="datetime-local"]:focus,    input[type="date"]:focus,    input[type="month"]:focus,    input[type="time"]:focus,    input[type="week"]:focus,    input[type="number"]:focus,    input[type="email"]:focus,    input[type="url"]:focus,    input[type="search"]:focus,    input[type="tel"]:focus,    input[type="color"]:focus,    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*margin-top: 4px;      /* For IE7, add top margin to align select with labels */      line-height: 28px;    }}.control-group .controls {    select {      width: 220px;      border: 1px solid #bbb;    }}.control-group .controls {    select[multiple],    select[size] {      height: auto;    }}.control-group .controls {    select:focus,    input[type="file"]:focus,    input[type="radio"]:focus,    input[type="checkbox"]:focus {      outline: thin dotted #333;      outline: 5px auto -webkit-focus-ring-color;      outline-offset: -2px;    }}.radio,.checkbox {  min-height: 18px;  padding-left: 18px;}.radio input[type="radio"],.checkbox input[type="checkbox"] {  float: left;  margin-left: -18px;}.controls > .radio:first-child,.controls > .checkbox:first-child {  padding-top: 5px;}.radio.inline,.checkbox.inline {  display: inline-block;  padding-top: 5px;  margin-bottom: 0;  vertical-align: middle;}.radio.inline + .radio.inline,.checkbox.inline + .checkbox.inline {  margin-left: 10px;}.control-group .controls {    .input-mini {      width: 60px;    }}.control-group .controls {    .input-small {      width: 90px;    }}.control-group .controls {    .input-medium {      width: 150px;    }}.control-group .controls {    .input-large {      width: 210px;    }}.input-xlarge {    .input-xlarge {      width: 270px;    }}.input-xxlarge {    .input-xxlarge {      width: 530px;    }}.control-group .controls {    input[class*="span"],    select[class*="span"],    textarea[class*="span"],    .uneditable-input[class*="span"],    .row-fluid input[class*="span"],    .row-fluid select[class*="span"],    .row-fluid textarea[class*="span"],    .row-fluid .uneditable-input[class*="span"] {      float: none;      margin-left: 0;    }}.input-append input[class*="span"],.input-append .uneditable-input[class*="span"],.input-prepend input[class*="span"],.input-prepend .uneditable-input[class*="span"],.row-fluid .input-prepend [class*="span"],.row-fluid .input-append [class*="span"] {  display: inline-block;}.control-group .controls {    input,    textarea,    .uneditable-input {      margin-left: 0;    }}input.span12, textarea.span12, .uneditable-input.span12 {  width: 930px;}input.span11, textarea.span11, .uneditable-input.span11 {  width: 850px;}input.span10, textarea.span10, .uneditable-input.span10 {  width: 770px;}input.span9, textarea.span9, .uneditable-input.span9 {  width: 690px;}input.span8, textarea.span8, .uneditable-input.span8 {  width: 610px;}input.span7, textarea.span7, .uneditable-input.span7 {  width: 530px;}input.span6, textarea.span6, .uneditable-input.span6 {  width: 450px;}input.span5, textarea.span5, .uneditable-input.span5 {  width: 370px;}input.span4, textarea.span4, .uneditable-input.span4 {  width: 290px;}input.span3, textarea.span3, .uneditable-input.span3 {  width: 210px;}input.span2, textarea.span2, .uneditable-input.span2 {  width: 130px;}input.span1, textarea.span1, .uneditable-input.span1 {  width: 50px;}input[disabled],select[disabled],textarea[disabled],input[readonly],select[readonly],textarea[readonly] {  cursor: not-allowed;  background-color: #eeeeee;  border-color: #ddd;}input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"][readonly],input[type="checkbox"][readonly] {  background-color: transparent;}.control-group.warning > label,.control-group.warning .help-block,.control-group.warning .help-inline {  color: #c09853;}.control-group.warning .checkbox,.control-group.warning .radio,.control-group.warning input,.control-group.warning select,.control-group.warning textarea {  color: #c09853;  border-color: #c09853;}.control-group.warning .checkbox:focus,.control-group.warning .radio:focus,.control-group.warning input:focus,.control-group.warning select:focus,.control-group.warning textarea:focus {  border-color: #a47e3c;  -webkit-box-shadow: 0 0 6px #dbc59e;  -moz-box-shadow: 0 0 6px #dbc59e;  box-shadow: 0 0 6px #dbc59e;}.control-group.warning .input-prepend .add-on,.control-group.warning .input-append .add-on {  color: #c09853;  background-color: #fcf8e3;  border-color: #c09853;}.control-group.error > label,.control-group.error .help-block,.control-group.error .help-inline {  color: #b94a48;}.control-group.error .checkbox,.control-group.error .radio,.control-group.error input,.control-group.error select,.control-group.error textarea {  color: #b94a48;  border-color: #b94a48;}.control-group.error .checkbox:focus,.control-group.error .radio:focus,.control-group.error input:focus,.control-group.error select:focus,.control-group.error textarea:focus {  border-color: #953b39;  -webkit-box-shadow: 0 0 6px #d59392;  -moz-box-shadow: 0 0 6px #d59392;  box-shadow: 0 0 6px #d59392;}.control-group.error .input-prepend .add-on,.control-group.error .input-append .add-on {  color: #b94a48;  background-color: #f2dede;  border-color: #b94a48;}.control-group.success > label,.control-group.success .help-block,.control-group.success .help-inline {  color: #468847;}.control-group.success .checkbox,.control-group.success .radio,.control-group.success input,.control-group.success select,.control-group.success textarea {  color: #468847;  border-color: #468847;}.control-group.success .checkbox:focus,.control-group.success .radio:focus,.control-group.success input:focus,.control-group.success select:focus,.control-group.success textarea:focus {  border-color: #356635;  -webkit-box-shadow: 0 0 6px #7aba7b;  -moz-box-shadow: 0 0 6px #7aba7b;  box-shadow: 0 0 6px #7aba7b;}.control-group.success .input-prepend .add-on,.control-group.success .input-append .add-on {  color: #468847;  background-color: #dff0d8;  border-color: #468847;}input:focus:required:invalid,textarea:focus:required:invalid,select:focus:required:invalid {  color: #b94a48;  border-color: #ee5f5b;}input:focus:required:invalid:focus,textarea:focus:required:invalid:focus,select:focus:required:invalid:focus {  border-color: #e9322d;  -webkit-box-shadow: 0 0 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5px;}.input-prepend,.input-append {  margin-bottom: 5px;}.input-prepend input,.input-append input,.input-prepend select,.input-append select,.input-prepend .uneditable-input,.input-append .uneditable-input {  position: relative;  margin-bottom: 0;  *margin-left: 0;  vertical-align: middle;  -webkit-border-radius: 0 3px 3px 0;  -moz-border-radius: 0 3px 3px 0;  border-radius: 0 3px 3px 0;}.input-prepend input:focus,.input-append input:focus,.input-prepend select:focus,.input-append select:focus,.input-prepend .uneditable-input:focus,.input-append .uneditable-input:focus {  z-index: 2;}.input-prepend .uneditable-input,.input-append .uneditable-input {  border-left-color: #ccc;}.input-prepend .add-on,.input-append .add-on {  display: inline-block;  width: auto;  height: 18px;  min-width: 16px;  padding: 4px 5px;  font-weight: normal;  line-height: 18px;  text-align: center;  text-shadow: 0 1px 0 #ffffff;  vertical-align: middle;  background-color: #eeeeee;  border: 1px solid #ccc;}.input-prepend .add-on,.input-append .add-on,.input-prepend .btn,.input-append .btn {  margin-left: -1px;  -webkit-border-radius: 0;  -moz-border-radius: 0;  border-radius: 0;}.input-prepend .active,.input-append .active {  background-color: #a9dba9;  border-color: #46a546;}.input-prepend .add-on,.input-prepend .btn {  margin-right: -1px;}.input-prepend .add-on:first-child,.input-prepend .btn:first-child {  -webkit-border-radius: 3px 0 0 3px;  -moz-border-radius: 3px 0 0 3px;  border-radius: 3px 0 0 3px;}.input-append input,.input-append select,.input-append .uneditable-input {  -webkit-border-radius: 3px 0 0 3px;  -moz-border-radius: 3px 0 0 3px;  border-radius: 3px 0 0 3px;}.input-append .uneditable-input {  border-right-color: #ccc;  border-left-color: #eee;}.input-append .add-on:last-child,.input-append .btn:last-child {  -webkit-border-radius: 0 3px 3px 0;  -moz-border-radius: 0 3px 3px 0;  border-radius: 0 3px 3px 0;}.input-prepend.input-append input,.input-prepend.input-append select,.input-prepend.input-append .uneditable-input {  -webkit-border-radius: 0;  -moz-border-radius: 0;  border-radius: 0;}.input-prepend.input-append .add-on:first-child,.input-prepend.input-append .btn:first-child {  margin-right: -1px;  -webkit-border-radius: 3px 0 0 3px;  -moz-border-radius: 3px 0 0 3px;  border-radius: 3px 0 0 3px;}.input-prepend.input-append .add-on:last-child,.input-prepend.input-append .btn:last-child {  margin-left: -1px;  -webkit-border-radius: 0 3px 3px 0;  -moz-border-radius: 0 3px 3px 0;  border-radius: 0 3px 3px 0;}.search-query {  padding-right: 14px;  padding-right: 4px \9;  padding-left: 14px;  padding-left: 4px \9;  /* IE7-8 doesn't have border-radius, so don't indent the padding */  margin-bottom: 0;  -webkit-border-radius: 14px;  -moz-border-radius: 14px;  border-radius: 14px;}.form-search input,.form-inline input,.form-horizontal input,.form-search textarea,.form-inline textarea,.form-horizontal textarea,.form-search select,.form-inline select,.form-horizontal select,.form-search .help-inline,.form-inline .help-inline,.form-horizontal .help-inline,.form-search .uneditable-input,.form-inline .uneditable-input,.form-horizontal .uneditable-input,.form-search .input-prepend,.form-inline .input-prepend,.form-horizontal .input-prepend,.form-search .input-append,.form-inline .input-append,.form-horizontal .input-append {  display: inline-block;  *display: inline;  /* IE7 inline-block hack */  *zoom: 1;  margin-bottom: 0;}.form-search .hide,.form-inline .hide,.form-horizontal .hide {  display: none;}.form-search label,.form-inline label {  display: inline-block;}.form-search .input-append,.form-inline .input-append,.form-search .input-prepend,.form-inline .input-prepend {  margin-bottom: 0;}.form-search .radio,.form-search .checkbox,.form-inline .radio,.form-inline .checkbox {  padding-left: 0;  margin-bottom: 0;  vertical-align: middle;}.form-search .radio input[type="radio"],.form-search .checkbox input[type="checkbox"],.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"] {  float: left;  margin-right: 3px;  margin-left: 0;}.control-group {  margin-bottom: 9px;}legend + .control-group {  margin-top: 18px;  -webkit-margin-top-collapse: separate;}.form-horizontal .control-group {  margin-bottom: 18px;  *zoom: 1;}.form-horizontal .control-group:before,.form-horizontal .control-group:after {  display: table;  content: "";}.form-horizontal .control-group:after {  clear: both;}.form-horizontal .control-label {  float: left;  width: 140px;  padding-top: 5px;  text-align: right;}.form-horizontal .controls {  *display: inline-block;  *padding-left: 20px;  margin-left: 160px;  *margin-left: 0;}.form-horizontal .controls:first-child {  *padding-left: 160px;}.form-horizontal .help-block {  margin-top: 9px;  margin-bottom: 0;}.form-horizontal .form-actions {  padding-left: 160px;}.btn {  display: inline-block;  *display: inline;  /* IE7 inline-block hack */  *zoom: 1;  padding: 4px 10px 4px;  margin-bottom: 0;  font-size: 13px;  line-height: 18px;  *line-height: 20px;  color: #333333;  text-align: center;  text-shadow: 0 1px 1px rgba(255, 255, 255, 0.75);  vertical-align: middle;  cursor: pointer;  background-color: #f5f5f5;  background-image: -moz-linear-gradient(top, #ffffff, #e6e6e6);  background-image: -ms-linear-gradient(top, #ffffff, #e6e6e6);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#e6e6e6));  background-image: -webkit-linear-gradient(top, #ffffff, #e6e6e6);  background-image: -o-linear-gradient(top, #ffffff, #e6e6e6);  background-image: linear-gradient(top, #ffffff, #e6e6e6);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffff', endColorstr='#e6e6e6', GradientType=0);  border-color: #e6e6e6 #e6e6e6 #bfbfbf;  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);  *background-color: #e6e6e6;  /* Darken IE7 buttons by default so they stand out more given they won't have borders */  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);  border: 1px solid #cccccc;  *border: 0;  border-bottom-color: #b3b3b3;  -webkit-border-radius: 4px;  -moz-border-radius: 4px;  border-radius: 4px;  *margin-left: .3em;  -webkit-box-shadow: inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);  -moz-box-shadow: inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);  box-shadow: inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);}.btn:hover,.btn:active,.btn.active,.btn.disabled,.btn[disabled] {  background-color: #e6e6e6;  *background-color: #d9d9d9;}.btn:active,.btn.active {  background-color: #cccccc \9;}.btn:first-child {  *margin-left: 0;}.btn:hover {  color: #333333;  text-decoration: none;  background-color: #e6e6e6;  *background-color: #d9d9d9;  /* Buttons in IE7 don't get borders, so darken on hover */  background-position: 0 -15px;  -webkit-transition: background-position 0.1s linear;  -moz-transition: background-position 0.1s linear;  -ms-transition: background-position 0.1s linear;  -o-transition: background-position 0.1s linear;  transition: background-position 0.1s linear;}.btn:focus {  outline: thin dotted #333;  outline: 5px auto -webkit-focus-ring-color;  outline-offset: -2px;}.btn.active,.btn:active {  background-color: #e6e6e6;  background-color: #d9d9d9 \9;  background-image: none;  outline: 0;  -webkit-box-shadow: inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);  -moz-box-shadow: inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);  box-shadow: inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);}.btn.disabled,.btn[disabled] {  cursor: default;  background-color: #e6e6e6;  background-image: none;  opacity: 0.65;  filter: alpha(opacity=65);  -webkit-box-shadow: none;  -moz-box-shadow: none;  box-shadow: none;}.btn-large {  padding: 9px 14px;  font-size: 15px;  line-height: normal;  -webkit-border-radius: 5px;  -moz-border-radius: 5px;  border-radius: 5px;}.btn-large [class^="icon-"] {  margin-top: 1px;}.btn-small {  padding: 5px 9px;  font-size: 11px;  line-height: 16px;}.btn-small [class^="icon-"] {  margin-top: -1px;}.btn-mini {  padding: 2px 6px;  font-size: 11px;  line-height: 14px;}.btn-primary,.btn-primary:hover,.btn-warning,.btn-warning:hover,.btn-danger,.btn-danger:hover,.btn-success,.btn-success:hover,.btn-info,.btn-info:hover,.btn-inverse,.btn-inverse:hover {  color: #ffffff;  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);}.btn-primary.active,.btn-warning.active,.btn-danger.active,.btn-success.active,.btn-info.active,.btn-inverse.active {  color: rgba(255, 255, 255, 0.75);}.btn {  border-color: #ccc;  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);}.btn-primary {  background-color: #0074cc;  background-image: -moz-linear-gradient(top, #0088cc, #0055cc);  background-image: 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false);}.btn-warning:hover,.btn-warning:active,.btn-warning.active,.btn-warning.disabled,.btn-warning[disabled] {  background-color: #f89406;  *background-color: #df8505;}.btn-warning:active,.btn-warning.active {  background-color: #c67605 \9;}.btn-danger {  background-color: #da4f49;  background-image: -moz-linear-gradient(top, #ee5f5b, #bd362f);  background-image: -ms-linear-gradient(top, #ee5f5b, #bd362f);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#bd362f));  background-image: -webkit-linear-gradient(top, #ee5f5b, #bd362f);  background-image: -o-linear-gradient(top, #ee5f5b, #bd362f);  background-image: linear-gradient(top, #ee5f5b, #bd362f);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ee5f5b', endColorstr='#bd362f', GradientType=0);  border-color: #bd362f #bd362f #802420;  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);  *background-color: #bd362f;  /* Darken IE7 buttons 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border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);  *background-color: #51a351;  /* Darken IE7 buttons by default so they stand out more given they won't have borders */  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-success:hover,.btn-success:active,.btn-success.active,.btn-success.disabled,.btn-success[disabled] {  background-color: #51a351;  *background-color: #499249;}.btn-success:active,.btn-success.active {  background-color: #408140 \9;}.btn-info {  background-color: #49afcd;  background-image: -moz-linear-gradient(top, #5bc0de, #2f96b4);  background-image: -ms-linear-gradient(top, #5bc0de, #2f96b4);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#2f96b4));  background-image: -webkit-linear-gradient(top, #5bc0de, #2f96b4);  background-image: -o-linear-gradient(top, #5bc0de, #2f96b4);  background-image: linear-gradient(top, #5bc0de, #2f96b4);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#5bc0de', endColorstr='#2f96b4', GradientType=0);  border-color: #2f96b4 #2f96b4 #1f6377;  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);  *background-color: #2f96b4;  /* Darken IE7 buttons by default so they stand out more given they won't have borders */  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-info:hover,.btn-info:active,.btn-info.active,.btn-info.disabled,.btn-info[disabled] {  background-color: #2f96b4;  *background-color: #2a85a0;}.btn-info:active,.btn-info.active {  background-color: #24748c \9;}.btn-inverse {  background-color: #414141;  background-image: -moz-linear-gradient(top, #555555, #222222);  background-image: -ms-linear-gradient(top, #555555, #222222);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#555555), to(#222222));  background-image: -webkit-linear-gradient(top, #555555, #222222);  background-image: -o-linear-gradient(top, #555555, 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*padding-top: 7px;  *padding-bottom: 7px;}button.btn.btn-small,input[type="submit"].btn.btn-small {  *padding-top: 3px;  *padding-bottom: 3px;}button.btn.btn-mini,input[type="submit"].btn.btn-mini {  *padding-top: 1px;  *padding-bottom: 1px;}.btn-group {  position: relative;  *zoom: 1;  *margin-left: .3em;}.btn-group:before,.btn-group:after {  display: table;  content: "";}.btn-group:after {  clear: both;}.btn-group:first-child {  *margin-left: 0;}.btn-group + .btn-group {  margin-left: 5px;}.btn-toolbar {  margin-top: 9px;  margin-bottom: 9px;}.btn-toolbar .btn-group {  display: inline-block;  *display: inline;  /* IE7 inline-block hack */  *zoom: 1;}.btn-group > .btn {  position: relative;  float: left;  margin-left: -1px;  -webkit-border-radius: 0;  -moz-border-radius: 0;  border-radius: 0;}.btn-group > .btn:first-child {  margin-left: 0;  -webkit-border-top-left-radius: 4px;  -moz-border-radius-topleft: 4px;  border-top-left-radius: 4px;  -webkit-border-bottom-left-radius: 4px;  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background-position: 0 0;  }}@-o-keyframes progress-bar-stripes {  from {    background-position: 0 0;  }  to {    background-position: 40px 0;  }}@keyframes progress-bar-stripes {  from {    background-position: 40px 0;  }  to {    background-position: 0 0;  }}.progress {  overflow: hidden;  height: 18px;  margin-bottom: 18px;  background-color: #f7f7f7;  background-image: -moz-linear-gradient(top, #f5f5f5, #f9f9f9);  background-image: -ms-linear-gradient(top, #f5f5f5, #f9f9f9);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#f5f5f5), to(#f9f9f9));  background-image: -webkit-linear-gradient(top, #f5f5f5, #f9f9f9);  background-image: -o-linear-gradient(top, #f5f5f5, #f9f9f9);  background-image: linear-gradient(top, #f5f5f5, #f9f9f9);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#f5f5f5', endColorstr='#f9f9f9', GradientType=0);  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);  -moz-box-shadow: inset 0 1px 2px 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rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -ms-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -o-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  -webkit-background-size: 40px 40px;  -moz-background-size: 40px 40px;  -o-background-size: 40px 40px;  background-size: 40px 40px;}.progress.active .bar {  -webkit-animation: progress-bar-stripes 2s linear infinite;  -moz-animation: progress-bar-stripes 2s linear infinite;  -ms-animation: progress-bar-stripes 2s linear infinite;  -o-animation: progress-bar-stripes 2s linear infinite;  animation: progress-bar-stripes 2s linear infinite;}.progress-danger .bar {  background-color: #dd514c;  background-image: -moz-linear-gradient(top, #ee5f5b, #c43c35);  background-image: -ms-linear-gradient(top, #ee5f5b, #c43c35);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#c43c35));  background-image: -webkit-linear-gradient(top, #ee5f5b, #c43c35);  background-image: -o-linear-gradient(top, #ee5f5b, #c43c35);  background-image: linear-gradient(top, #ee5f5b, #c43c35);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ee5f5b', endColorstr='#c43c35', GradientType=0);}.progress-danger.progress-striped .bar {  background-color: #ee5f5b;  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));  background-image: -webkit-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -moz-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -ms-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -o-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}.progress-success .bar {  background-color: #5eb95e;  background-image: -moz-linear-gradient(top, #62c462, #57a957);  background-image: -ms-linear-gradient(top, #62c462, #57a957);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#57a957));  background-image: -webkit-linear-gradient(top, #62c462, #57a957);  background-image: -o-linear-gradient(top, #62c462, #57a957);  background-image: linear-gradient(top, #62c462, #57a957);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#62c462', endColorstr='#57a957', GradientType=0);}.progress-success.progress-striped .bar {  background-color: #62c462;  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));  background-image: -webkit-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -moz-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -ms-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -o-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}.progress-info .bar {  background-color: #4bb1cf;  background-image: -moz-linear-gradient(top, #5bc0de, #339bb9);  background-image: -ms-linear-gradient(top, #5bc0de, #339bb9);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#339bb9));  background-image: -webkit-linear-gradient(top, #5bc0de, #339bb9);  background-image: -o-linear-gradient(top, #5bc0de, #339bb9);  background-image: linear-gradient(top, #5bc0de, #339bb9);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#5bc0de', endColorstr='#339bb9', GradientType=0);}.progress-info.progress-striped .bar {  background-color: #5bc0de;  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));  background-image: -webkit-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -moz-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -ms-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -o-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}.progress-warning .bar {  background-color: #faa732;  background-image: -moz-linear-gradient(top, #fbb450, #f89406);  background-image: -ms-linear-gradient(top, #fbb450, #f89406);  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406));  background-image: -webkit-linear-gradient(top, #fbb450, #f89406);  background-image: -o-linear-gradient(top, #fbb450, #f89406);  background-image: linear-gradient(top, #fbb450, #f89406);  background-repeat: repeat-x;  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fbb450', endColorstr='#f89406', GradientType=0);}.progress-warning.progress-striped .bar {  background-color: #fbb450;  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));  background-image: -webkit-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -moz-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -ms-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: -o-linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);  background-image: linear-gradient(-45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}.hero-unit {  padding: 60px;  margin-bottom: 30px;  background-color: #eeeeee;  -webkit-border-radius: 6px;  -moz-border-radius: 6px;  border-radius: 6px;}.hero-unit h1 {  margin-bottom: 0;  font-size: 60px;  line-height: 1;  color: inherit;  letter-spacing: -1px;}.hero-unit p {  font-size: 18px;  font-weight: 200;  line-height: 27px;  color: inherit;}.tooltip {  position: absolute;  z-index: 1020;  display: block;  visibility: visible;  padding: 5px;  font-size: 11px;  opacity: 0;  filter: alpha(opacity=0);}.tooltip.in {  opacity: 0.8;  filter: alpha(opacity=80);}.tooltip.top {  margin-top: -2px;}.tooltip.right {  margin-left: 2px;}.tooltip.bottom {  margin-top: 2px;}.tooltip.left {  margin-left: -2px;}.tooltip.top .tooltip-arrow {  bottom: 0;  left: 50%;  margin-left: -5px;  border-left: 5px solid transparent;  border-right: 5px solid transparent;  border-top: 5px solid #000000;}.tooltip.left .tooltip-arrow {  top: 50%;  right: 0;  margin-top: -5px;  border-top: 5px solid transparent;  border-bottom: 5px solid transparent;  border-left: 5px solid #000000;}.tooltip.bottom .tooltip-arrow {  top: 0;  left: 50%;  margin-left: -5px;  border-left: 5px solid transparent;  border-right: 5px solid transparent;  border-bottom: 5px solid #000000;}.tooltip.right .tooltip-arrow {  top: 50%;  left: 0;  margin-top: -5px;  border-top: 5px solid transparent;  border-bottom: 5px solid transparent;  border-right: 5px solid #000000;}.tooltip-inner {  max-width: 200px;  padding: 3px 8px;  color: #ffffff;  text-align: center;  text-decoration: none;  background-color: #000000;  -webkit-border-radius: 4px;  -moz-border-radius: 4px;  border-radius: 4px;}.tooltip-arrow {  position: absolute;  width: 0;  height: 0;}.popover {  position: absolute;  top: 0;  left: 0;  z-index: 1010;  display: none;  padding: 5px;}.popover.top {  margin-top: -5px;}.popover.right {  margin-left: 5px;}.popover.bottom {  margin-top: 5px;}.popover.left {  margin-left: -5px;}.popover.top .arrow {  bottom: 0;  left: 50%;  margin-left: -5px;  border-left: 5px solid transparent;  border-right: 5px solid transparent;  border-top: 5px solid #000000;}.popover.right .arrow {  top: 50%;  left: 0;  margin-top: -5px;  border-top: 5px solid transparent;  border-bottom: 5px solid transparent;  border-right: 5px solid #000000;}.popover.bottom .arrow {  top: 0;  left: 50%;  margin-left: -5px;  border-left: 5px solid transparent;  border-right: 5px solid transparent;  border-bottom: 5px solid #000000;}.popover.left .arrow {  top: 50%;  right: 0;  margin-top: -5px;  border-top: 5px solid transparent;  border-bottom: 5px solid transparent;  border-left: 5px solid #000000;}.popover .arrow {  position: absolute;  width: 0;  height: 0;}.popover-inner {  padding: 3px;  width: 280px;  overflow: hidden;  background: #000000;  background: rgba(0, 0, 0, 0.8);  -webkit-border-radius: 6px;  -moz-border-radius: 6px;  border-radius: 6px;  -webkit-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);  -moz-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);  box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);}.popover-title {  padding: 9px 15px;  line-height: 1;  background-color: #f5f5f5;  border-bottom: 1px solid #eee;  -webkit-border-radius: 3px 3px 0 0;  -moz-border-radius: 3px 3px 0 0;  border-radius: 3px 3px 0 0;}.popover-content {  padding: 14px;  background-color: #ffffff;  -webkit-border-radius: 0 0 3px 3px;  -moz-border-radius: 0 0 3px 3px;  border-radius: 0 0 3px 3px;  -webkit-background-clip: padding-box;  -moz-background-clip: padding-box;  background-clip: padding-box;}.popover-content p,.popover-content ul,.popover-content ol {  margin-bottom: 0;}.modal-open .dropdown-menu {  z-index: 2050;}.modal-open .dropdown.open {  *z-index: 2050;}.modal-open .popover {  z-index: 2060;}.modal-open .tooltip {  z-index: 2070;}.modal-backdrop {  position: fixed;  top: 0;  right: 0;  bottom: 0;  left: 0;  z-index: 1040;  background-color: #000000;}.modal-backdrop.fade {  opacity: 0;}.modal-backdrop,.modal-backdrop.fade.in {  opacity: 0.8;  filter: alpha(opacity=80);}.modal {  position: fixed;  top: 50%;  left: 50%;  z-index: 1050;  overflow: auto;  width: 560px;  margin: -250px 0 0 -280px;  background-color: #ffffff;  border: 1px solid #999;  border: 1px solid rgba(0, 0, 0, 0.3);  *border: 1px solid #999;  /* IE6-7 */  -webkit-border-radius: 6px;  -moz-border-radius: 6px;  border-radius: 6px;  -webkit-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);  -moz-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);  box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);  -webkit-background-clip: padding-box;  -moz-background-clip: padding-box;  background-clip: padding-box;}.modal.fade {  -webkit-transition: opacity .3s linear, top .3s ease-out;  -moz-transition: opacity .3s linear, top .3s ease-out;  -ms-transition: opacity .3s linear, top .3s ease-out;  -o-transition: opacity .3s linear, top .3s ease-out;  transition: opacity .3s linear, top .3s ease-out;  top: -25%;}.modal.fade.in {  top: 50%;}.modal-header {  padding: 9px 15px;  border-bottom: 1px solid #eee;}.modal-header .close {  margin-top: 2px;}.modal-body {  overflow-y: auto;  max-height: 400px;  padding: 15px;}.modal-form {  margin-bottom: 0;}.modal-footer {  padding: 14px 15px 15px;  margin-bottom: 0;  text-align: right;  background-color: #f5f5f5;  border-top: 1px solid #ddd;  -webkit-border-radius: 0 0 6px 6px;  -moz-border-radius: 0 0 6px 6px;  border-radius: 0 0 6px 6px;  -webkit-box-shadow: inset 0 1px 0 #ffffff;  -moz-box-shadow: inset 0 1px 0 #ffffff;  box-shadow: inset 0 1px 0 #ffffff;  *zoom: 1;}.modal-footer:before,.modal-footer:after {  display: table;  content: "";}.modal-footer:after {  clear: both;}.modal-footer .btn + .btn {  margin-left: 5px;  margin-bottom: 0;}.modal-footer .btn-group .btn + .btn {  margin-left: -1px;}.dropup,.dropdown {  position: relative;}.dropdown-toggle {  *margin-bottom: -3px;}.dropdown-toggle:active,.open .dropdown-toggle {  outline: 0;}.caret {  display: inline-block;  width: 0;  height: 0;  vertical-align: top;  border-top: 4px solid #000000;  border-right: 4px solid transparent;  border-left: 4px solid transparent;  content: "";  opacity: 0.3;  filter: alpha(opacity=30);}.dropdown .caret {  margin-top: 8px;  margin-left: 2px;}.dropdown:hover .caret,.open .caret {  opacity: 1;  filter: alpha(opacity=100);}.dropdown-menu {  position: absolute;  top: 100%;  left: 0;  z-index: 1000;  display: none;  float: left;  min-width: 160px;  padding: 4px 0;  margin: 1px 0 0;  list-style: none;  background-color: #ffffff;  border: 1px solid #ccc;  border: 1px solid rgba(0, 0, 0, 0.2);  *border-right-width: 2px;  *border-bottom-width: 2px;  -webkit-border-radius: 5px;  -moz-border-radius: 5px;  border-radius: 5px;  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);  -moz-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);  -webkit-background-clip: padding-box;  -moz-background-clip: padding;  background-clip: padding-box;}.dropdown-menu.pull-right {  right: 0;  left: auto;}.dropdown-menu .divider {  *width: 100%;  height: 1px;  margin: 8px 1px;  *margin: -5px 0 5px;  overflow: hidden;  background-color: #e5e5e5;  border-bottom: 1px solid #ffffff;}.dropdown-menu a {  display: block;  padding: 3px 15px;  clear: both;  font-weight: normal;  line-height: 18px;  color: #333333;  white-space: nowrap;}.dropdown-menu li > a:hover,.dropdown-menu .active > a,.dropdown-menu .active > a:hover {  color: #ffffff;  text-decoration: none;  background-color: #0088cc;}.open {  *z-index: 1000;}.open  > .dropdown-menu {  display: block;}.pull-right > .dropdown-menu {  right: 0;  left: auto;}.dropup .caret,.navbar-fixed-bottom .dropdown .caret {  border-top: 0;  border-bottom: 4px solid #000000;  content: "\2191";}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu {  top: auto;  bottom: 100%;  margin-bottom: 1px;}.typeahead {  margin-top: 2px;  -webkit-border-radius: 4px;  -moz-border-radius: 4px;  border-radius: 4px;}.accordion {  margin-bottom: 18px;}.accordion-group {  margin-bottom: 2px;  border: 1px solid #e5e5e5;  -webkit-border-radius: 4px;  -moz-border-radius: 4px;  border-radius: 4px;}.accordion-heading {  border-bottom: 0;}.accordion-heading .accordion-toggle {  display: block;  padding: 8px 15px;}.accordion-toggle {  cursor: pointer;}.accordion-inner {  padding: 9px 15px;  border-top: 1px solid #e5e5e5;}.carousel {  position: relative;  margin-bottom: 18px;  line-height: 1;}.carousel-inner {  overflow: hidden;  width: 100%;  position: relative;}.carousel .item {  display: none;  position: relative;  -webkit-transition: 0.6s ease-in-out left;  -moz-transition: 0.6s ease-in-out left;  -ms-transition: 0.6s ease-in-out left;  -o-transition: 0.6s ease-in-out left;  transition: 0.6s ease-in-out left;}.carousel .item > img {  display: block;  line-height: 1;}.carousel .active,.carousel .next,.carousel .prev {  display: block;}.carousel .active {  left: 0;}.carousel .next,.carousel .prev {  position: absolute;  top: 0;  width: 100%;}.carousel .next {  left: 100%;}.carousel .prev {  left: -100%;}.carousel .next.left,.carousel .prev.right {  left: 0;}.carousel .active.left {  left: -100%;}.carousel .active.right {  left: 100%;}.carousel-control {  position: absolute;  top: 40%;  left: 15px;  width: 40px;  height: 40px;  margin-top: -20px;  font-size: 60px;  font-weight: 100;  line-height: 30px;  color: #ffffff;  text-align: center;  background: #222222;  border: 3px solid #ffffff;  -webkit-border-radius: 23px;  -moz-border-radius: 23px;  border-radius: 23px;  opacity: 0.5;  filter: alpha(opacity=50);}.carousel-control.right {  left: auto;  right: 15px;}.carousel-control:hover {  color: #ffffff;  text-decoration: none;  opacity: 0.9;  filter: alpha(opacity=90);}.carousel-caption {  position: absolute;  left: 0;  right: 0;  bottom: 0;  padding: 10px 15px 5px;  background: #333333;  background: rgba(0, 0, 0, 0.75);}.carousel-caption h4,.carousel-caption p {  color: #ffffff;}.well {  min-height: 20px;  padding: 19px;  margin-bottom: 20px;  background-color: #f5f5f5;  border: 1px solid #eee;  border: 1px solid rgba(0, 0, 0, 0.05);  -webkit-border-radius: 4px;  -moz-border-radius: 4px;  border-radius: 4px;  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);  -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);}.well blockquote {  border-color: #ddd;  border-color: rgba(0, 0, 0, 0.15);}.well-large {  padding: 24px;  -webkit-border-radius: 6px;  -moz-border-radius: 6px;  border-radius: 6px;}.well-small {  padding: 9px;  -webkit-border-radius: 3px;  -moz-border-radius: 3px;  border-radius: 3px;}.close {  float: right;  font-size: 20px;  font-weight: bold;  line-height: 18px;  color: #000000;  text-shadow: 0 1px 0 #ffffff;  opacity: 0.2;  filter: alpha(opacity=20);}.close:hover {  color: #000000;  text-decoration: none;  cursor: pointer;  opacity: 0.4;  filter: alpha(opacity=40);}button.close {  padding: 0;  cursor: pointer;  background: transparent;  border: 0;  -webkit-appearance: none;}.pull-right {  float: right;}.pull-left {  float: left;}.hide {  display: none;}.show {  display: block;}.invisible {  visibility: hidden;}.fade {  opacity: 0;  -webkit-transition: opacity 0.15s linear;  -moz-transition: opacity 0.15s linear;  -ms-transition: opacity 0.15s linear;  -o-transition: opacity 0.15s linear;  transition: opacity 0.15s linear;}.fade.in {  opacity: 1;}.collapse {  position: relative;  height: 0;  overflow: hidden;  -webkit-transition: height 0.35s ease;  -moz-transition: height 0.35s ease;  -ms-transition: height 0.35s ease;  -o-transition: height 0.35s ease;  transition: height 0.35s ease;}.collapse.in {  height: auto;}.hidden {  display: none;  visibility: hidden;}.visible-phone {  display: none !important;}.visible-tablet {  display: none !important;}.hidden-desktop {  display: none !important;}@media (max-width: 767px) {  .visible-phone {    display: inherit !important;  }  .hidden-phone {    display: none !important;  }  .hidden-desktop {    display: inherit !important;  }  .visible-desktop {    display: none !important;  }}@media (min-width: 768px) and (max-width: 979px) {  .visible-tablet {    display: inherit !important;  }  .hidden-tablet {    display: none !important;  }  .hidden-desktop {    display: inherit !important;  }  .visible-desktop {    display: none !important ;  }}@media (max-width: 480px) {  .nav-collapse {    -webkit-transform: translate3d(0, 0, 0);  }  .page-header h1 small {    display: block;    line-height: 18px;  }  input[type="checkbox"],  input[type="radio"] {    border: 1px solid #ccc;  }  .form-horizontal .control-group > label {    float: none;    width: auto;    padding-top: 0;    text-align: left;  }  .form-horizontal .controls {    margin-left: 0;  }  .form-horizontal .control-list {    padding-top: 0;  }  .form-horizontal .form-actions {    padding-left: 10px;    padding-right: 10px;  }  .modal {    position: absolute;    top: 10px;    left: 10px;    right: 10px;    width: auto;    margin: 0;  }  .modal.fade.in {    top: auto;  }  .modal-header .close {    padding: 10px;    margin: -10px;  }  .carousel-caption {    position: static;  }}@media (max-width: 767px) {  body {    padding-left: 20px;    padding-right: 20px;  }  .navbar-fixed-top,  .navbar-fixed-bottom {    margin-left: -20px;    margin-right: -20px;  }  .container-fluid {    padding: 0;  }  .dl-horizontal dt {    float: none;    clear: none;    width: auto;    text-align: left;  }  .dl-horizontal dd {    margin-left: 0;  }  .container {    width: auto;  }  .row-fluid {    width: 100%;  }  .row,  .thumbnails {    margin-left: 0;  }  [class*="span"],  .row-fluid [class*="span"] {    float: none;    display: block;    width: auto;    margin-left: 0;  }  .input-large,  .input-xlarge,  .input-xxlarge,  input[class*="span"],  select[class*="span"],  textarea[class*="span"],  .uneditable-input {    display: block;    width: 100%;    min-height: 28px;    -webkit-box-sizing: border-box;    -moz-box-sizing: border-box;    -ms-box-sizing: border-box;    box-sizing: border-box;  }  .input-prepend input,  .input-append input,  .input-prepend input[class*="span"],  .input-append input[class*="span"] {    display: inline-block;    width: auto;  }}@media (min-width: 768px) and (max-width: 979px) {  .row {    margin-left: -20px;    *zoom: 1;  }  .row:before,  .row:after {    display: table;    content: "";  }  .row:after {    clear: both;  }  [class*="span"] {    float: left;    margin-left: 20px;  }  .container,  .navbar-fixed-top .container,  .navbar-fixed-bottom .container {    width: 724px;  }  .span12 {    width: 724px;  }  .span11 {    width: 662px;  }  .span10 {    width: 600px;  }  .span9 {    width: 538px;  }  .span8 {    width: 476px;  }  .span7 {    width: 414px;  }  .span6 {    width: 352px;  }  .span5 {    width: 290px;  }  .span4 {    width: 228px;  }  .span3 {    width: 166px;  }  .span2 {    width: 104px;  }  .span1 {    width: 42px;  }  .offset12 {    margin-left: 764px;  }  .offset11 {    margin-left: 702px;  }  .offset10 {    margin-left: 640px;  }  .offset9 {    margin-left: 578px;  }  .offset8 {    margin-left: 516px;  }  .offset7 {    margin-left: 454px;  }  .offset6 {    margin-left: 392px;  }  .offset5 {    margin-left: 330px;  }  .offset4 {    margin-left: 268px;  }  .offset3 {    margin-left: 206px;  }  .offset2 {    margin-left: 144px;  }  .offset1 {    margin-left: 82px;  }  .row-fluid {    width: 100%;    *zoom: 1;  }  .row-fluid:before,  .row-fluid:after {    display: table;    content: "";  }  .row-fluid:after {    clear: both;  }  .row-fluid [class*="span"] {    display: block;    width: 100%;    min-height: 28px;    -webkit-box-sizing: border-box;    -moz-box-sizing: border-box;    -ms-box-sizing: border-box;    box-sizing: border-box;    float: left;    margin-left: 2.762430939%;    *margin-left: 2.709239449638298%;  }  .row-fluid [class*="span"]:first-child {    margin-left: 0;  }  .row-fluid .span12 {    width: 99.999999993%;    *width: 99.9468085036383%;  }  .row-fluid .span11 {    width: 91.436464082%;    *width: 91.38327259263829%;  }  .row-fluid .span10 {    width: 82.87292817100001%;    *width: 82.8197366816383%;  }  .row-fluid .span9 {    width: 74.30939226%;    *width: 74.25620077063829%;  }  .row-fluid .span8 {    width: 65.74585634900001%;    *width: 65.6926648596383%;  }  .row-fluid .span7 {    width: 57.182320438000005%;    *width: 57.129128948638304%;  }  .row-fluid .span6 {    width: 48.618784527%;    *width: 48.5655930376383%;  }  .row-fluid .span5 {    width: 40.055248616%;    *width: 40.0020571266383%;  }  .row-fluid .span4 {    width: 31.491712705%;    *width: 31.4385212156383%;  }  .row-fluid .span3 {    width: 22.928176794%;    *width: 22.874985304638297%;  }  .row-fluid .span2 {    width: 14.364640883%;    *width: 14.311449393638298%;  }  .row-fluid .span1 {    width: 5.801104972%;    *width: 5.747913482638298%;  }  input,  textarea,  .uneditable-input {    margin-left: 0;  }  input.span12, textarea.span12, .uneditable-input.span12 {    width: 714px;  }  input.span11, textarea.span11, .uneditable-input.span11 {    width: 652px;  }  input.span10, textarea.span10, .uneditable-input.span10 {    width: 590px;  }  input.span9, textarea.span9, .uneditable-input.span9 {    width: 528px;  }  input.span8, textarea.span8, .uneditable-input.span8 {    width: 466px;  }  input.span7, textarea.span7, .uneditable-input.span7 {    width: 404px;  }  input.span6, textarea.span6, .uneditable-input.span6 {    width: 342px;  }  input.span5, textarea.span5, .uneditable-input.span5 {    width: 280px;  }  input.span4, textarea.span4, .uneditable-input.span4 {    width: 218px;  }  input.span3, textarea.span3, .uneditable-input.span3 {    width: 156px;  }  input.span2, textarea.span2, .uneditable-input.span2 {    width: 94px;  }  input.span1, textarea.span1, .uneditable-input.span1 {    width: 32px;  }}@media (min-width: 1200px) {  .row {    margin-left: -30px;    *zoom: 1;  }  .row:before,  .row:after {    display: table;    content: "";  }  .row:after {    clear: both;  }  [class*="span"] {    float: left;    margin-left: 30px;  }  .container,  .navbar-fixed-top .container,  .navbar-fixed-bottom .container {    width: 1170px;  }  .span12 {    width: 1170px;  }  .span11 {    width: 1070px;  }  .span10 {    width: 970px;  }  .span9 {    width: 870px;  }  .span8 {    width: 770px;  }  .span7 {    width: 670px;  }  .span6 {    width: 570px;  }  .span5 {    width: 470px;  }  .span4 {    width: 370px;  }  .span3 {    width: 270px;  }  .span2 {    width: 170px;  }  .span1 {    width: 70px;  }  .offset12 {    margin-left: 1230px;  }  .offset11 {    margin-left: 1130px;  }  .offset10 {    margin-left: 1030px;  }  .offset9 {    margin-left: 930px;  }  .offset8 {    margin-left: 830px;  }  .offset7 {    margin-left: 730px;  }  .offset6 {    margin-left: 630px;  }  .offset5 {    margin-left: 530px;  }  .offset4 {    margin-left: 430px;  }  .offset3 {    margin-left: 330px;  }  .offset2 {    margin-left: 230px;  }  .offset1 {    margin-left: 130px;  }  .row-fluid {    width: 100%;    *zoom: 1;  }  .row-fluid:before,  .row-fluid:after {    display: table;    content: "";  }  .row-fluid:after {    clear: both;  }  .row-fluid [class*="span"] {    display: block;    width: 100%;    min-height: 28px;    -webkit-box-sizing: border-box;    -moz-box-sizing: border-box;    -ms-box-sizing: border-box;    box-sizing: border-box;    float: left;    margin-left: 2.564102564%;    *margin-left: 2.510911074638298%;  }  .row-fluid [class*="span"]:first-child {    margin-left: 0;  }  .row-fluid .span12 {    width: 100%;    *width: 99.94680851063829%;  }  .row-fluid .span11 {    width: 91.45299145300001%;    *width: 91.3997999636383%;  }  .row-fluid .span10 {    width: 82.905982906%;    *width: 82.8527914166383%;  }  .row-fluid .span9 {    width: 74.358974359%;    *width: 74.30578286963829%;  }  .row-fluid .span8 {    width: 65.81196581200001%;    *width: 65.7587743226383%;  }  .row-fluid .span7 {    width: 57.264957265%;    *width: 57.2117657756383%;  }  .row-fluid .span6 {    width: 48.717948718%;    *width: 48.6647572286383%;  }  .row-fluid .span5 {    width: 40.170940171000005%;    *width: 40.117748681638304%;  }  .row-fluid .span4 {    width: 31.623931624%;    *width: 31.5707401346383%;  }  .row-fluid .span3 {    width: 23.076923077%;    *width: 23.0237315876383%;  }  .row-fluid .span2 {    width: 14.529914530000001%;    *width: 14.4767230406383%;  }  .row-fluid .span1 {    width: 5.982905983%;    *width: 5.929714493638298%;  }  input,  textarea,  .uneditable-input {    margin-left: 0;  }  input.span12, textarea.span12, .uneditable-input.span12 {    width: 1160px;  }  input.span11, textarea.span11, .uneditable-input.span11 {    width: 1060px;  }  input.span10, textarea.span10, .uneditable-input.span10 {    width: 960px;  }  input.span9, textarea.span9, .uneditable-input.span9 {    width: 860px;  }  input.span8, textarea.span8, .uneditable-input.span8 {    width: 760px;  }  input.span7, textarea.span7, .uneditable-input.span7 {    width: 660px;  }  input.span6, textarea.span6, .uneditable-input.span6 {    width: 560px;  }  input.span5, textarea.span5, .uneditable-input.span5 {    width: 460px;  }  input.span4, textarea.span4, .uneditable-input.span4 {    width: 360px;  }  input.span3, textarea.span3, .uneditable-input.span3 {    width: 260px;  }  input.span2, textarea.span2, .uneditable-input.span2 {    width: 160px;  }  input.span1, textarea.span1, .uneditable-input.span1 {    width: 60px;  }  .thumbnails {    margin-left: -30px;  }  .thumbnails > li {    margin-left: 30px;  }  .row-fluid .thumbnails {    margin-left: 0;  }}@media (max-width: 979px) {  body {    padding-top: 0;  }  .navbar-fixed-top,  .navbar-fixed-bottom {    position: static;  }  .navbar-fixed-top {    margin-bottom: 18px;  }  .navbar-fixed-bottom {    margin-top: 18px;  }  .navbar-fixed-top .navbar-inner,  .navbar-fixed-bottom .navbar-inner {    padding: 5px;  }  .navbar .container {    width: auto;    padding: 0;  }  .navbar .brand {    padding-left: 10px;    padding-right: 10px;    margin: 0 0 0 -5px;  }  .nav-collapse {    clear: both;  }  .nav-collapse .nav {    float: none;    margin: 0 0 9px;  }  .nav-collapse .nav > li {    float: none;  }  .nav-collapse .nav > li > a {    margin-bottom: 2px;  }  .nav-collapse .nav > .divider-vertical {    display: none;  }  .nav-collapse .nav .nav-header {    color: #999999;    text-shadow: none;  }  .nav-collapse .nav > li > a,  .nav-collapse .dropdown-menu a {    padding: 6px 15px;    font-weight: bold;    color: #999999;    -webkit-border-radius: 3px;    -moz-border-radius: 3px;    border-radius: 3px;  }  .nav-collapse .btn {    padding: 4px 10px 4px;    font-weight: normal;    -webkit-border-radius: 4px;    -moz-border-radius: 4px;    border-radius: 4px;  }  .nav-collapse .dropdown-menu li + li a {    margin-bottom: 2px;  }  .nav-collapse .nav > li > a:hover,  .nav-collapse .dropdown-menu a:hover {    background-color: #222222;  }  .nav-collapse.in .btn-group {    margin-top: 5px;    padding: 0;  }  .nav-collapse .dropdown-menu {    position: static;    top: auto;    left: auto;    float: none;    display: block;    max-width: none;    margin: 0 15px;    padding: 0;    background-color: transparent;    border: none;    -webkit-border-radius: 0;    -moz-border-radius: 0;    border-radius: 0;    -webkit-box-shadow: none;    -moz-box-shadow: none;    box-shadow: none;  }  .nav-collapse .dropdown-menu:before,  .nav-collapse .dropdown-menu:after {    display: none;  }  .nav-collapse .dropdown-menu .divider {    display: none;  }  .nav-collapse .navbar-form,  .nav-collapse .navbar-search {    float: none;    padding: 9px 15px;    margin: 9px 0;    border-top: 1px solid #222222;    border-bottom: 1px solid #222222;    -webkit-box-shadow: inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.1);    -moz-box-shadow: inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.1);    box-shadow: inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.1);  }  .navbar .nav-collapse .nav.pull-right {    float: none;    margin-left: 0;  }  .nav-collapse,  .nav-collapse.collapse {    overflow: hidden;    height: 0;  }  .navbar .btn-navbar {    display: block;  }  .navbar-static .navbar-inner {    padding-left: 10px;    padding-right: 10px;  }}@media (min-width: 980px) {  .nav-collapse.collapse {    height: auto !important;    overflow: visible !important;  }}

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  • Div, Background Image, and Image Map

    - by Coolmoondog
    On a web page I'm creating, I have a div with a background image. I overlay some text over the image that I'll be changing frequently, so that's why I'm using a background image and real text instead of an img tag that contains the text. The background image contains some click-able areas, so I need an image map. I think the best way to do this is to have another overlay div with a transparent image, and have an image map for the transparent image that corresponds to the background area click-able areas. Am I on the right track, or is there a better way?

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  • System.Drawing.Image as source for asp.net image container

    - by trnTash
    I created image from byte array System.Drawing.Image newImage; using (MemoryStream ms = new MemoryStream(imageBytes, 0, imageBytes.Length)) { ms.Write(imageBytes, 0, imageBytes.Length); newImage = System.Drawing.Image.FromStream(ms, true); } and now I need to have this image as a source for asp:Image (System.Web.UI.WebControls.Image). Is this possible as I know that conversion is impossible?

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  • Can I take the voice data (f.e. in mp3 format) from speech recognition? [closed]

    - by Ersin Gulbahar
    Possible Duplicate: Android: Voice Recording and saving audio I mean ; I use voice recognition classes on android and I succeed voice recognition. But I want to real voice data not words instead of it. For example I said 'teacher' and android get you said teacher.Oh ok its good but I want to my voice which include 'teacher'.Where is it ? Can I take it and save another location? I use this class to speech to text : package net.viralpatel.android.speechtotextdemo; import java.util.ArrayList; import android.app.Activity; import android.content.ActivityNotFoundException; import android.content.Intent; import android.os.Bundle; import android.speech.RecognizerIntent; import android.view.Menu; import android.view.View; import android.widget.ImageButton; import android.widget.TextView; import android.widget.Toast; public class MainActivity extends Activity { protected static final int RESULT_SPEECH = 1; private ImageButton btnSpeak; private TextView txtText; @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); txtText = (TextView) findViewById(R.id.txtText); btnSpeak = (ImageButton) findViewById(R.id.btnSpeak); btnSpeak.setOnClickListener(new View.OnClickListener() { @Override public void onClick(View v) { Intent intent = new Intent( RecognizerIntent.ACTION_RECOGNIZE_SPEECH); intent.putExtra(RecognizerIntent.EXTRA_LANGUAGE_MODEL, "en-US"); try { startActivityForResult(intent, RESULT_SPEECH); txtText.setText(""); } catch (ActivityNotFoundException a) { Toast t = Toast.makeText(getApplicationContext(), "Ops! Your device doesn't support Speech to Text", Toast.LENGTH_SHORT); t.show(); } } }); } @Override public boolean onCreateOptionsMenu(Menu menu) { getMenuInflater().inflate(R.menu.activity_main, menu); return true; } @Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { super.onActivityResult(requestCode, resultCode, data); switch (requestCode) { case RESULT_SPEECH: { if (resultCode == RESULT_OK && null != data) { ArrayList<String> text = data .getStringArrayListExtra(RecognizerIntent.EXTRA_RESULTS); txtText.setText(text.get(0)); } break; } } } } Thanks.

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  • Sound recognition software

    - by Cawas
    I'm looking for a software able to recognize an specific sound and then do some action. I want to leave my notebook close by the house intercom so when I hear someone ringing it, a very specific and unique sound, it will send me an email at my office or something. The main issue is that there's a lot of different noises there, but none would be as loud as the intercom for the specific place I've left the microphone. Is there any software out there able to do this? Hopefully with a mac version. I trust there's nothing closely related in this to speech or voice recognition technologies, and specially the softwares in there.

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  • Form recognition using OCR and return image of the value

    - by Jonathan
    I'm on a project that process hundreds of forms. The forms have consistent formats but are filled out by hand by different people. I need a way to quickly processing all of these data into electronic forms. OCR recognition for typed document seems mature but for hand-writting is very lacking. For this thought, let's consider a form with several fields like this. Field_1: Value1 (example, Name: John, where Name is Field and John is value) Considering that forms are structured and typed, OCR should be able to recognize the fields. However, for the values of the fields, they are written and OCR will perform very poorly. So is there a way where the fields would be recognized on the imagem, then a image chunk of the value would be returned? Thanks.

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  • Slick2D - Cannot instantiate the type Image

    - by speakon
    I am getting this strange error and I cannot for the life of me figure out why: Cannot instantiate the type Image CODE: import java.awt.Image; import org.newdawn.slick.GameContainer; import org.newdawn.slick.Graphics; import org.newdawn.slick.SlickException; import org.newdawn.slick.state.BasicGameState; import org.newdawn.slick.state.StateBasedGame; public class MainMenuState extends BasicGameState { int stateID = -1; Image background = null; Image startGameOption = null; Image exitOption = null; float startGameScale = 1; float exitScale = 1; MainMenuState( int stateID ) { this.stateID = stateID; } public int getID() { return stateID; } public void init(GameContainer gc, StateBasedGame sbg) throws SlickException { try { background = new Image("data/menu.jpg"); Image menuOptions = new Image("data/menuoptions.png"); startGameOption = menuOptions.getSubImage(0, 0, 377, 71); exitOption = menuOptions.getSubImage(0, 71, 377, 71); }catch (SlickException e) { System.err.print(e); } } public void render(GameContainer gc, StateBasedGame sbg, Graphics g) throws SlickException { } public void update(GameContainer gc, StateBasedGame sbg, int delta) throws SlickException { } } Why do I get this error? I've googled endlessly and nobody else has it, this worked fine in my other game. Any ideas?

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  • OpenCV haar training for static image

    - by Evl-ntnt
    I trying to train haar cascade classificator for card suite detection (which no rotation and has no distortion on image) For example I have file Clubs.png which contents clubs image on white background 20x20 pixels This tutorial is so tangled http://note.sonots.com/SciSoftware/haartraining.html My image varies only in sizes, no distortion or angling. Which commands I must enter in aim to get Clubs.xml file?

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  • PHP Scale image and then create image of specific size

    - by Ronny vdb
    The result I am trying to achieve is that the user can upload an image of any size, and the server side script will convert it to an image that has the dimension 1024x512. To save the aspect ratio of the image I first scale the image down by either the width or height to match the wanted dimensions. to do this I am using imagecopyresampled(): imagecopyresampled( $new_img, $src_img, $dst_x, $dst_y, 0, 0, $new_width, $new_height, $img_width, $img_height ) && $write_image($new_img, $new_file_path, $image_quality); If we take an image that is 1920x1200 as an example, the outputted image will be 819x512. However I still need a final result of 1024x512 so I want to add white borders to the image to will the width to 1024. How can I correct my imagecopyresampled function to acheive this?

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  • Error loading PCX image in FreeImage library

    - by khanhhh89
    I'm using FreeImage in C++ for loading texuture from the PCX image. My FreeImage code is as following: FREE_IMAGE_FORMAT fif = FIF_UNKNOWN; //pointer to the image data BYTE* bits(0); fif = FreeImage_GetFileType(m_fileName.c_str(), 0); if (FreeImage_FIFSupportsReading(fif)) dib = FreeImage_Load(fif, m_fileName.c_str()); //retrieve the image data bits = FreeImage_GetBits(dib); //get the image width and height width = FreeImage_GetWidth(dib); height = FreeImage_GetHeight(dib); My problem is the width and height variable are both 512, while the bits array is an empty string, which make the following OPENGL call corrupt: glTexImage2D(m_textureTarget, 0, GL_RGB, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE, bits); While debugging, I notice that the "fif" variable (which contains the format of the image) is JPEG, while the Image is actually PCX. I wonder whether or not the FreeImage recognize the wrong format (from PCX to JPEG), so tha the bits array is an empty string. I hope to see your explanation about this problem. Thanks so much

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  • Image in Image Algorithm

    - by Paul
    I need an algorithm written in any language to find an image inside of an image, including at different scales. Does anyone know a starting point to solving a problem like this? For example: I have an image of 800x600 and in that image is a yellow ball measuring 180 pixels in circumference. I need to be able to find this image with a search pattern of a yellow ball having a circumference of 15 pixels. Thanks

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  • Speech Recognition.

    - by Arun Thakkar
    Hello Everyone, Hope you all are fine and also in one of your best moods!! I need your help, I need to develop iPhone application which recognize Voice, and based on Result it perform further tasks. I know iPhone 3.0 Doesn't support Speech recognition and i need to implement Speech recognition Software at server side, i know this thing only, Since i am newbie i Don't know How to deal with that. Mean Which software i need to buy and implement it at server side, and how to use that Service ?? So if you have any idea about Speech Recognition and its related softwre and also usage of that, Please post your Reply. Thank You, Regards, Arun Thakkar.

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  • Using Nearest Neighbour Algorithm for image pattern recognition

    - by user293895
    So I want to be able to recognise patterns in images (such as a number 4), I have been reading about different algorithms and I would really like to use the Nearest Neighbour algorithm, it looks simple and I do understand it based on this tutorial: http://people.revoledu.com/kardi/tutorial/KNN/KNN_Numerical-example.html Problem is, although I understand how to use it to fill in missing data sets, I don't understand how I could use it as a pattern recognition tool to aim in Image Shape Recognition. Could someone please shed some light as to how this algorithm could work for pattern recognition? I have seen tutorials using OpenCV, however I don't really want to use this library as I have the ability to do the pre-processing myself, and it seems silly that I would implement this library just for what should be a simple nearest neighbour algorithm.

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