Exemple #1
0
def renderSinglePage(
                    inputData, 
                    targetData, 
                    questionIdict, 
                    ansIdict, 
                    urlDict,
                    iPage=0, 
                    numPages=1,
                    topK=10,
                    modelOutputs=None,
                    modelNames=None,
                    questionIds=None):
    htmlList = []
    htmlList.append('<html><head>\n')
    htmlList.append('<style>%s</style>' % renderCss())
    htmlList.append('</head><body>\n')
    htmlList.append('<table>')
    imgPerRow = 4
    htmlList.append(renderMenu(iPage, numPages))
    for n in range(inputData.shape[0]):
        if np.mod(n, imgPerRow) == 0:
            htmlList.append('<tr>')
        imageId = inputData[n, 0, 0]
        imageFilename = urlDict[imageId - 1]
        question = it.decodeQuestion(inputData[n], questionIdict)

        qid = questionIds[n] if questionIds is not None else n
        topAnswers, topAnswerScores = pickTopAnswers(
                                ansIdict, 
                                n,
                                topK=topK,
                                modelOutputs=modelOutputs, 
                                modelNames=modelNames,
                                questionIds=questionIds)
        htmlList.append(renderSingleItem(
                                imageFilename, 
                                qid, 
                                question, 
                                ansIdict[targetData[n, 0]], 
                                topAnswers=topAnswers, 
                                topAnswerScores=topAnswerScores, 
                                modelNames=modelNames))

        if np.mod(n, imgPerRow) == imgPerRow - 1:
            htmlList.append('</tr>')
    htmlList.append('</table>')
    htmlList.append(renderMenu(iPage, numPages))
    htmlList.append('</body></html>')
    return ''.join(htmlList)
Exemple #2
0
def renderLatexSinglePage(
                            inputData,
                            targetData,
                            questionIdict,
                            ansIdict,
                            urlDict,
                            outputFolder,
                            pictureFolder='img',
                            topK=10,
                            comments=None,
                            caption=None,
                            modelOutputs=None,
                            modelNames=None,
                            questionIds=None):
    result = []
    result.append('\\begin{figure*}[ht!]\n')
    result.append('\\centering\\small\n')
    result.append('$\\begin{array}{p{5cm} p{5cm} p{5cm}}\n')
    imgPerRow = 3
    imgFolder = os.path.join(outputFolder, pictureFolder)
    for n in range(inputData.shape[0]):
        # Download the images
        imageId = inputData[n, 0, 0]
        imageFilename = urlDict[imageId - 1]
        r = requests.get(imageFilename)
        qid = questionIds[n] if questionIds is not None else n
        if not os.path.exists(imgFolder):
            os.makedirs(imgFolder)
        with open(os.path.join(imgFolder, '%d.jpg' % qid), 'wb') as f:
            f.write(r.content)
        question = it.decodeQuestion(inputData[n], questionIdict)
        answer = ansIdict[targetData[n, 0]]
        topAnswers, topAnswerScores = \
                    pickTopAnswers(
                            ansIdict,
                            n,
                            topK=topK,
                            modelOutputs=modelOutputs, 
                            modelNames=modelNames)
        comment = comments[n] \
                if comments is not None else None
        result.append(
            renderLatexSingleItem(
                            qid,
                            question,
                            answer,
                            pictureFolder=pictureFolder,
                            comment=comment,
                            topAnswers=topAnswers,
                            topAnswerScores=topAnswerScores,
                            modelNames=modelNames))
        if np.mod(n, imgPerRow) == imgPerRow - 1:
            result.append('\\\\\n')
            if n != inputData.shape[0] - 1:
                result.append('\\noalign{\\smallskip}\\\
                    noalign{\\smallskip}\\noalign{\\smallskip}\n')
        else:
            result.append('&\n')
    result.append('\end{array}$\n')
    result.append('\caption{%s}\n' % caption if caption is not None else '')
    result.append('\end{figure*}\n')
    return ''.join(result)