Commit e8f0b2fbeb4181140068fb09528fb22f5ddf8a06
1 parent
6ef90a88
Sample impostor and genuine matches in the correct direction, compare error rate…
…s at a lower precision to find EERIndex more often. Update documentation
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3 changed files
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10 additions
and
9 deletions
openbr/core/eval.cpp
| ... | ... | @@ -223,7 +223,7 @@ float Evaluate(const Mat &simmat, const Mat &mask, const QString &csv, const QSt |
| 223 | 223 | (truePositives > previousTruePositives)) { |
| 224 | 224 | operatingPoints.append(OperatingPoint(thresh, float(falsePositives)/impostorCount, float(truePositives)/genuineCount)); |
| 225 | 225 | if (EERIndex == 0) { |
| 226 | - if (floor(float(falsePositives)/impostorCount*1000+0.5)/1000 == floor((1-float(truePositives)/genuineCount)*1000+0.5)/1000) EERIndex = index-1; | |
| 226 | + if (floor(float(falsePositives)/impostorCount*100+0.5)/100 == floor((1-float(truePositives)/genuineCount)*100+0.5)/100) EERIndex = index-1; | |
| 227 | 227 | } |
| 228 | 228 | previousFalsePositives = falsePositives; |
| 229 | 229 | previousTruePositives = truePositives; |
| ... | ... | @@ -249,16 +249,16 @@ float Evaluate(const Mat &simmat, const Mat &mask, const QString &csv, const QSt |
| 249 | 249 | const FileList queryFiles = TemplateList::fromGallery(query).files(); |
| 250 | 250 | unsigned int count = 0; |
| 251 | 251 | for (int i = EERIndex-1; i >= 0; i--) { |
| 252 | - if (comparisons[i].genuine) { | |
| 253 | - lines.append("GM,"+QString::number(comparisons[i].score)+","+targetFiles[comparisons[i].target].get<QString>("Label")+":" | |
| 252 | + if (!comparisons[i].genuine) { | |
| 253 | + lines.append("IM,"+QString::number(comparisons[i].score)+","+targetFiles[comparisons[i].target].get<QString>("Label")+":" | |
| 254 | 254 | +filePath+"/"+targetFiles[comparisons[i].target].name+":"+queryFiles[comparisons[i].query].get<QString>("Label")+":"+filePath+"/"+queryFiles[comparisons[i].query].name); |
| 255 | 255 | if (++count == matches) break; |
| 256 | 256 | } |
| 257 | 257 | } |
| 258 | 258 | count = 0; |
| 259 | 259 | for (int i = EERIndex+1; i < comparisons.size(); i++) { |
| 260 | - if (!comparisons[i].genuine) { | |
| 261 | - lines.append("IM,"+QString::number(comparisons[i].score)+","+targetFiles[comparisons[i].target].get<QString>("Label")+":" | |
| 260 | + if (comparisons[i].genuine) { | |
| 261 | + lines.append("GM,"+QString::number(comparisons[i].score)+","+targetFiles[comparisons[i].target].get<QString>("Label")+":" | |
| 262 | 262 | +filePath+"/"+targetFiles[comparisons[i].target].name+":"+queryFiles[comparisons[i].query].get<QString>("Label")+":"+filePath+"/"+queryFiles[comparisons[i].query].name); |
| 263 | 263 | if (++count == matches) break; |
| 264 | 264 | } | ... | ... |
openbr/core/plot.cpp
| ... | ... | @@ -339,7 +339,7 @@ bool Plot(const QStringList &files, const File &destination, bool show) |
| 339 | 339 | QString("\t\t# Set up the page\n\t\tgrid.newpage()\n\t\tpushViewport(viewport(layout = grid.layout(plotRows, plotCols)))\n\t\tvplayout <- function(x, y)\n\t\t\tviewport(layout.pos.row = x, layout.pos.col = y)\n\n") + |
| 340 | 340 | QString("\t\t# Make each plot, in the correct location\n\t\tfor (i in 1:numPlots) {\n\t\t\tcurRow = ceiling(i/plotCols)\n\t\t\tcurCol = (i-1) %% plotCols + 1\n\t\t\tprint(plots[[i]], vp = vplayout(curRow, curCol))\n\t\t}\n\t}\n\n"))); |
| 341 | 341 | |
| 342 | - p.file.write(qPrintable(QString("\t# Print top impostor matches\n\tfor (i in 1:nrow(IM)) {\n\t\tscore <- IM[i,1]\n\t\tfiles <- IM[i,2]\n\t\talg <- IM[i,3]\n\t\tfiles <- unlist(strsplit(files, \"[:]\"))\n\n\t\text1 <- unlist(strsplit(files[2], \"[.]\"))[2]\n\t\text2 <- unlist(strsplit(files[4], \"[.]\"))[2]\n\t\t") + | |
| 342 | + p.file.write(qPrintable(QString("\t# Print impostor matches above the EER\n\tfor (i in 1:nrow(IM)) {\n\t\tscore <- IM[i,1]\n\t\tfiles <- IM[i,2]\n\t\talg <- IM[i,3]\n\t\tfiles <- unlist(strsplit(files, \"[:]\"))\n\n\t\text1 <- unlist(strsplit(files[2], \"[.]\"))[2]\n\t\text2 <- unlist(strsplit(files[4], \"[.]\"))[2]\n\t\t") + | |
| 343 | 343 | QString("if (ext1 == \"jpg\" || ext1 == \"JPEG\" || ext1 == \"jpeg\" || ext1 == \"JPG\") {\n\t\t\timg1 <- readJPEG(files[2])\n\t\t} else if (ext1 == \"PNG\" || ext1 == \"png\") {\n\t\t\timg1 <- readPNG(files[2])\n\t\t} else if (ext1 == \"TIFF\" || ext1 == \"tiff\" || ext1 == \"TIF\" || ext1 == \"tif\") {\n\t\t\timg1 <- readTIFF(files[2])\n\t\t} else {\n\t\t\tnext\n\t\t}\n\t\tif (ext2 == \"jpg\" || ext2 == \"JPEG\" || ext2 == \"jpeg\" || ext2 == \"JPG\") {\n\t\t\timg2 <- readJPEG(files[4])\n\t\t} ") + |
| 344 | 344 | QString("else if (ext2 == \"PNG\" || ext2 == \"png\") {\n\t\t\timg2 <- readPNG(files[4])\n\t\t} else if (ext2 == \"TIFF\" || ext2 == \"tiff\" || ext2 == \"TIF\" || ext2 == \"tif\") {\n\t\t\timg2 <- readTIFF(files[4])\n\t\t} else {\n\t\t\tnext\n\t\t}") + |
| 345 | 345 | QString("\n\t\tname1 <- files[1]\n\t\tname2 <- files[3]\n\n\t\tg1 <- rasterGrob(img1, interpolate=TRUE)\n\t\tg2 <- rasterGrob(img2, interpolate=TRUE)\n\n\t\t") + |
| ... | ... | @@ -347,7 +347,7 @@ bool Plot(const QStringList &files, const File &destination, bool show) |
| 347 | 347 | QString("plot2 <- qplot(1:10, 1:10, geom=\"blank\") + annotation_custom(g2, xmin=-Inf, xmax=Inf, ymin=-Inf, ymax=Inf) + theme(axis.line=element_blank(), axis.text.x=element_blank(), axis.text.y=element_blank(), axis.ticks=element_blank(), panel.background=element_blank()) + labs(title=paste(\"Impostor score =\", score)) + ylab(unlist(strsplit(files[4], \"[/]\"))[length(unlist(strsplit(files[4], \"[/]\")))]) + xlab(name2)\n\n\t\t") + |
| 348 | 348 | QString("multiplot(plot1, plot2, cols=2)\n\t}"))); |
| 349 | 349 | |
| 350 | - p.file.write(qPrintable(QString("\n\n\t# Print worst genuine matches\n\tfor (i in 1:nrow(GM)) {\n\t\tscore <- GM[i,1]\n\t\tfiles <- GM[i,2]\n\t\talg <- GM[i,3]\n\t\tfiles <- unlist(strsplit(files, \"[:]\"))\n\n\t\text1 <- unlist(strsplit(files[2], \"[.]\"))[2]\n\t\text2 <- unlist(strsplit(files[4], \"[.]\"))[2]\n\t\t") + | |
| 350 | + p.file.write(qPrintable(QString("\n\n\t# Print genuine matches below the EER\n\tfor (i in 1:nrow(GM)) {\n\t\tscore <- GM[i,1]\n\t\tfiles <- GM[i,2]\n\t\talg <- GM[i,3]\n\t\tfiles <- unlist(strsplit(files, \"[:]\"))\n\n\t\text1 <- unlist(strsplit(files[2], \"[.]\"))[2]\n\t\text2 <- unlist(strsplit(files[4], \"[.]\"))[2]\n\t\t") + | |
| 351 | 351 | QString("if (ext1 == \"jpg\" || ext1 == \"JPEG\" || ext1 == \"jpeg\" || ext1 == \"JPG\") {\n\t\t\timg1 <- readJPEG(files[2])\n\t\t} else if (ext1 == \"PNG\" || ext1 == \"png\") {\n\t\t\timg1 <- readPNG(files[2])\n\t\t} else if (ext1 == \"TIFF\" || ext1 == \"tiff\" || ext1 == \"TIF\" || ext1 == \"tif\") {\n\t\t\timg1 <- readTIFF(files[2])\n\t\t} else {\n\t\t\tnext\n\t\t}\n\t\tif (ext2 == \"jpg\" || ext2 == \"JPEG\" || ext2 == \"jpeg\" || ext2 == \"JPG\") {\n\t\t\timg2 <- readJPEG(files[4])\n\t\t} ") + |
| 352 | 352 | QString("else if (ext2 == \"PNG\" || ext2 == \"png\") {\n\t\t\timg2 <- readPNG(files[4])\n\t\t} else if (ext2 == \"TIFF\" || ext2 == \"tiff\" || ext2 == \"TIF\" || ext2 == \"tif\") {\n\t\t\timg2 <- readTIFF(files[4])\n\t\t} else {\n\t\t\tnext\n\t\t}") + |
| 353 | 353 | QString("\n\t\tname1 <- files[1]\n\t\tname2 <- files[3]\n\n\t\tg1 <- rasterGrob(img1, interpolate=TRUE)\n\t\tg2 <- rasterGrob(img2, interpolate=TRUE)\n\n\t\t") + | ... | ... |
openbr/openbr.h
| ... | ... | @@ -154,7 +154,7 @@ BR_EXPORT void br_project(const char *input, const char *output); |
| 154 | 154 | * \param simmat The \ref simmat to use. |
| 155 | 155 | * \param mask The \ref mask to use. |
| 156 | 156 | * \param csv Optional \c .csv file to contain performance metrics. |
| 157 | - * \param matches Optional integer number of top impostor matches and bottom genuine matches to output defualts to 0. | |
| 157 | + * \param matches Optional integer number of matches to output around the EER, defualts to 0. | |
| 158 | 158 | * \return True accept rate at a false accept rate of one in one thousand. |
| 159 | 159 | * \see br_plot |
| 160 | 160 | */ |
| ... | ... | @@ -324,6 +324,7 @@ BR_EXPORT int br_objects(char * buffer, int buffer_length, const char *abstracti |
| 324 | 324 | * The suggested way to plot these experiments on the same graph is to create a folder named <tt>Algorithm_Dataset</tt> that contains the six <tt>.csv</tt> files produced by br_eval <tt>A_Y.csv</tt>, <tt>A_Z.csv</tt>, <tt>B_Y.csv</tt>, <tt>B_Z.csv</tt>, <tt>C_Y.csv</tt>, & <tt>C_Z.csv</tt>. |
| 325 | 325 | * The '<tt>_</tt>' character plays a special role in determining the legend title(s) and value(s). |
| 326 | 326 | * In this case, <tt>A</tt>, <tt>B</tt>, & <tt>C</tt> will be identified as different values of type <tt>Algorithm</tt>, and each will be assigned its own color; <tt>Y</tt> & <tt>Z</tt> will be identified as different values of type Dataset, and each will be assigned its own line style. |
| 327 | + * Matches around the EER will be displayed if the matches parameter is set in \ref br_eval. | |
| 327 | 328 | * |
| 328 | 329 | * \param num_files Number of <tt>.csv</tt> files. |
| 329 | 330 | * \param files <tt>.csv</tt> files created using \ref br_eval. |
| ... | ... | @@ -331,7 +332,7 @@ BR_EXPORT int br_objects(char * buffer, int buffer_length, const char *abstracti |
| 331 | 332 | * \param show Open <i>destination</i>.pdf using the system's default PDF viewer. |
| 332 | 333 | * \return Returns \c true on success. Returns false on a failure to compile the figures due to a missing, out of date, or incomplete \c R installation. |
| 333 | 334 | * \note This function requires a current <a href="http://www.r-project.org/">R</a> installation with the following packages: |
| 334 | - * \code install.packages(c("ggplot2", "gplots", "reshape", "scales")) \endcode | |
| 335 | + * \code install.packages(c("ggplot2", "gplots", "reshape", "scales", "jpg", "png")) \endcode | |
| 335 | 336 | * \see br_eval |
| 336 | 337 | */ |
| 337 | 338 | BR_EXPORT bool br_plot(int num_files, const char *files[], const char *destination, bool show = false); | ... | ... |