evalutils.cpp
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#include "openbr/core/evalutils.h"
#include "openbr/core/qtutils.h"
#include "openbr/core/opencvutils.h"
#include "openbr/core/common.h"
#include <opencv2/highgui/highgui.hpp>
using namespace std;
using namespace br;
using namespace cv;
using namespace EvalUtils;
static const int Max_Points = 500; // Maximum number of points to render on plots
DetectionKey EvalUtils::getDetectKey(const FileList &files)
{
if (files.empty())
return DetectionKey();
const File &f = files.first();
const QStringList localKeys = f.localKeys();
// first check for single detections
foreach (const QString &key, localKeys)
if (!f.get<QRectF>(key, QRectF()).isNull())
return DetectionKey(key, DetectionKey::Rect);
// and then multiple
if (!f.rects().empty())
return DetectionKey("Rects", DetectionKey::RectList);
// check for <Key>_X, <Key>_Y, <Key>_Width, <Key>_Height
foreach (const QString &localKey, localKeys) {
if (!localKey.endsWith("_X"))
continue;
const QString key = localKey.mid(0, localKey.size()-2);
if (localKeys.contains(key+"_Y") &&
localKeys.contains(key+"_Width") &&
localKeys.contains(key+"_Height"))
return DetectionKey(key, DetectionKey::XYWidthHeight);
}
return DetectionKey();
}
// return a list of detections independent of the detection key format
QList<Detection> EvalUtils::getDetections(const DetectionKey &key, const File &f, bool isTruth)
{
QString pose = f.get<QString>("Pose");
if (pose.contains("Angle"))
pose = "Frontal";
const QString filePath = f.path() + "/" + f.fileName();
QList<Detection> dets;
if (key.type == DetectionKey::RectList) {
QList<QRectF> rects = f.rects();
QList<float> confidences = f.getList<float>("Confidences", QList<float>());
if (!isTruth && rects.size() != confidences.size())
qFatal("You don't have enough confidence. I mean, your detections don't all have confidence measures.");
for (int i=0; i<rects.size(); i++) {
if (isTruth)
dets.append(Detection(rects[i], filePath));
else
dets.append(Detection(rects[i], filePath, confidences[i]));
}
} else if (key.type == DetectionKey::Rect) {
dets.append(Detection(f.get<QRectF>(key), filePath, isTruth ? -1 : f.get<float>("Confidence", -1), f.get<bool>("Ignore", false), pose));
} else if (key.type == DetectionKey::XYWidthHeight) {
const QRectF rect(f.get<float>(key+"_X"), f.get<float>(key+"_Y"), f.get<float>(key+"_Width"), f.get<float>(key+"_Height"));
dets.append(Detection(rect, filePath, isTruth ? -1 : f.get<float>("Confidence", -1), f.get<bool>("Ignore", false), pose));
}
return dets;
}
QMap<QString, Detections> EvalUtils::getDetections(const File &predictedGallery, const File &truthGallery)
{
const FileList predicted = TemplateList::fromGallery(predictedGallery).files();
const FileList truth = TemplateList::fromGallery(truthGallery).files();
// Figure out which metadata field contains a bounding box
DetectionKey truthDetectKey = getDetectKey(truth);
if (truthDetectKey.isEmpty())
qFatal("No suitable ground truth metadata key found.");
DetectionKey predictedDetectKey = getDetectKey(predicted);
if (predictedDetectKey.isEmpty())
qFatal("No suitable predicted metadata key found.");
if (Globals->verbose) {
qDebug("Using metadata key: %s%s",
qPrintable(predictedDetectKey),
qPrintable(predictedDetectKey == truthDetectKey ? QString() : "/"+truthDetectKey));
}
QMap<QString, Detections> allDetections;
foreach (const File &f, truth)
allDetections[f.name].truth.append(getDetections(truthDetectKey, f, true));
foreach (const File &f, predicted)
if (allDetections.contains(f.name)) allDetections[f.name].predicted.append(getDetections(predictedDetectKey, f, false));
return allDetections;
}
QMap<QString, Detections> EvalUtils::filterDetections(const QMap<QString, Detections> &allDetections, int threshold, bool useMin)
{
QMap<QString, Detections> allFilteredDetections;
foreach (QString key, allDetections.keys()) {
Detections detections = allDetections[key];
Detections filteredDetections;
for (int i = 0; i < detections.predicted.size(); i++) {
const QRectF box = detections.predicted[i].boundingBox;
const qreal minBoxDim = min(box.width(), box.height());
const double t = sqrt(0.5 * threshold * threshold);
if (useMin ? minBoxDim > t : minBoxDim < t)
filteredDetections.predicted.append(detections.predicted[i]);
}
for (int i = 0; i < detections.truth.size(); i++) {
const QRectF box = detections.truth[i].boundingBox;
const qreal minBoxDim = min(box.width(), box.height());
if (useMin ? minBoxDim < threshold : minBoxDim > threshold)
detections.truth[i].ignore = true;
filteredDetections.truth.append(detections.truth[i]);
}
if (!filteredDetections.truth.empty()) allFilteredDetections[key] = filteredDetections;
}
return allFilteredDetections;
}
int EvalUtils::associateGroundTruthDetections(QList<ResolvedDetection> &resolved, QList<ResolvedDetection> &falseNegative, QMap<QString, Detections> &all, QRectF &offsets)
{
QList<float> dLeft, dRight, dTop, dBottom;
int count = 0, totalTrueDetections = 0;
foreach (Detections detections, all.values()) {
for (int i=0; i<detections.truth.size(); i++)
if (!detections.truth[i].ignore) totalTrueDetections++;
// Try to associate ground truth detections with predicted detections
QList<SortedDetection> sortedDetections; sortedDetections.reserve(detections.truth.size() * detections.predicted.size());
for (int t = 0; t < detections.truth.size(); t++) {
const Detection truth = detections.truth[t];
for (int p = 0; p < detections.predicted.size(); p++) {
Detection predicted = detections.predicted[p];
float predictedWidth = predicted.boundingBox.width();
float x, y, width, height;
x = predicted.boundingBox.x() + offsets.x()*predictedWidth;
y = predicted.boundingBox.y() + offsets.y()*predictedWidth;
width = predicted.boundingBox.width() - offsets.width()*predictedWidth;
height = predicted.boundingBox.height() - offsets.height()*predictedWidth;
Detection newPredicted(QRectF(x, y, width, height), predicted.filePath, 0.0);
const float overlap = truth.overlap(newPredicted);
if (overlap > 0)
sortedDetections.append(SortedDetection(t, p, overlap));
}
}
std::sort(sortedDetections.begin(), sortedDetections.end());
QList<int> removedTruth;
QList<int> removedPredicted;
foreach (const SortedDetection &detection, sortedDetections) {
if (removedTruth.contains(detection.truth_idx) || removedPredicted.contains(detection.predicted_idx))
continue;
const Detection truth = detections.truth[detection.truth_idx];
const Detection predicted = detections.predicted[detection.predicted_idx];
if (!truth.ignore)
resolved.append(ResolvedDetection(predicted.filePath, predicted.boundingBox, predicted.confidence, detection.overlap, truth.boundingBox, truth.pose == predicted.pose));
removedTruth.append(detection.truth_idx);
removedPredicted.append(detection.predicted_idx);
if (offsets.x() == 0 && detection.overlap > 0.3) {
count++;
float width = predicted.boundingBox.width();
dLeft.append((truth.boundingBox.left() - predicted.boundingBox.left()) / width);
dRight.append((truth.boundingBox.right() - predicted.boundingBox.right()) / width);
dTop.append((truth.boundingBox.top() - predicted.boundingBox.top()) / width);
dBottom.append((truth.boundingBox.bottom() - predicted.boundingBox.bottom()) / width);
}
}
// False positive
for (int i = 0; i < detections.predicted.size(); i++)
if (!removedPredicted.contains(i)) resolved.append(ResolvedDetection(detections.predicted[i].filePath, detections.predicted[i].boundingBox, detections.predicted[i].confidence, 0, QRectF(), false));
// False negative
for (int i = 0; i < detections.truth.size(); i++)
if (!removedTruth.contains(i) && !detections.truth[i].ignore) falseNegative.append(ResolvedDetection(detections.truth[i].filePath, detections.truth[i].boundingBox, -std::numeric_limits<float>::max(), 0, QRectF(), false));
}
if (offsets.x() == 0) {
// Calculate average differences in each direction
double dTopMean, dTopStdDev;
Common::MeanStdDev(dTop,&dTopMean,&dTopStdDev);
double dBottomMean, dBottomStdDev;
Common::MeanStdDev(dBottom,&dBottomMean,&dBottomStdDev);
double dLeftMean, dLeftStdDev;
Common::MeanStdDev(dLeft,&dLeftMean,&dLeftStdDev);
double dRightMean, dRightStdDev;
Common::MeanStdDev(dRight,&dRightMean,&dRightStdDev);
double dWidth = dLeftMean - dRightMean;
double dHeight = dTopMean - dBottomMean;
offsets.setX(dLeftMean);
offsets.setY(dTopMean);
offsets.setWidth(dWidth);
offsets.setHeight(dHeight);
if (Globals->verbose) {
qDebug("oLeft = %.3f", dLeftStdDev);
qDebug("oRight = %.3f", dRightStdDev);
qDebug("oTop = %.3f", dTopStdDev);
qDebug("oBottom = %.3f", dBottomStdDev);
}
}
return totalTrueDetections;
}
QStringList EvalUtils::computeDetectionResults(const QList<ResolvedDetection> &detections, int totalTrueDetections, int numImages, bool discrete, QList<DetectionOperatingPoint> &points)
{
float TP = 0, FP = 0, prevFP = -1, prevTP = -1;
QList<float> FARsToOutput;
FARsToOutput << 1 << .5 << .2 << .1 << .02 << .01 << .001;
QDebug debug = qDebug();
debug.noquote();
debug << endl << QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+") << endl;
debug << QString("|") << QString("FAR").leftJustified(10, ' ') << QString("|") << QString("TAR").leftJustified(10, ' ') << QString("|") << QString("Confidence").leftJustified(10, ' ') << QString("|") << QString("Pose Match").leftJustified(10, ' ') << QString("|") << endl;
debug << QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+") << endl;
float poseMatch = 0;
int detectionsToKeep = 50;
QList<ResolvedDetection> topFalsePositives, bottomTruePositives;
for (int i=0; i<detections.size(); i++) {
const ResolvedDetection &detection = detections[i];
if (discrete) {
// A 50% overlap is considered a true positive
if (detection.overlap >= 0.5) {
TP++;
if (detection.poseMatch)
poseMatch++;
}
else
FP++;
} else {
TP += detection.overlap;
if (detection.poseMatch)
poseMatch += detection.overlap;
FP += 1 - detection.overlap;
}
if ((i == detections.size()-1) || (detection.confidence > detections[i+1].confidence)) {
if (FP > prevFP || (i == detections.size()-1)) {
foreach (float FAR, FARsToOutput)
if (prevFP / numImages < FAR && FP / numImages >= FAR) {
debug << QString("|") << QString::number(FAR, 'f', 4).leftJustified(10, ' ');
debug << QString("|") << QString::number(TP / totalTrueDetections, 'f', 4).leftJustified(10, ' ');
debug << QString("|") << QString::number(detection.confidence, 'f', 4).leftJustified(10, ' ');
debug << QString("|") << QString::number(TP ? poseMatch / TP : 0., 'f', 4).leftJustified(10, ' ');
debug << QString("|") << endl;
break;
}
if (detection.overlap < 0.5 && topFalsePositives.size() < detectionsToKeep)
topFalsePositives.append(detection);
points.append(DetectionOperatingPoint(TP, FP, totalTrueDetections, numImages, detection.confidence));
prevFP = FP;
}
if (TP > prevTP) {
bottomTruePositives.append(detection);
if (bottomTruePositives.size() > detectionsToKeep)
bottomTruePositives.removeFirst();
prevTP = TP;
}
}
}
debug << QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+")+QString("-").repeated(12)+QString("+") << endl;
if (discrete) {
if (Globals->verbose) {
QtUtils::touchDir(QDir("./falsePos"));
qDebug("Highest Scoring False Positives:");
detectionsToKeep = std::min(detectionsToKeep,topFalsePositives.size());
for (int i=0; i<detectionsToKeep; i++) {
Mat img = imread(qPrintable(Globals->path + "/" + topFalsePositives[i].filePath));
const Rect falseRect = OpenCVUtils::toRect(topFalsePositives[i].boundingBox);
rectangle(img, falseRect, Scalar(0, 0, 255), 1);
rectangle(img, OpenCVUtils::toRect(topFalsePositives[i].groundTruthBoundingBox), Scalar(0, 255, 0), 1);
putText(img, qPrintable("Overlap:"+QString::number(topFalsePositives[i].overlap)), falseRect.tl(), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(0, 0, 255), 1);
imwrite(qPrintable(QString("./falsePos/falsePos%1.jpg").arg(QString::number(i))), img);
}
qDebug("Lowest Scoring True Positives:");
qDebug() << bottomTruePositives;
}
}
debug << QString("Minimum %1 Precision:").arg(discrete ? "Discrete" : "Continuous").leftJustified(32, ' ') << QString("%1").arg(QString::number(points.last().Precision)) << endl;
debug << QString("Maximum %1 Recall:").arg(discrete ? "Discrete" : "Continuous").leftJustified(32, ' ') << QString("%1").arg(QString::number(points.last().Recall)) << endl;
debug << QString("%1 F1 Score:").arg(discrete ? "Discrete" : "Continuous").leftJustified(32, ' ') << QString("%1").arg(QString::number(2 * (points.last().Recall * points.last().Precision) / (points.last().Recall + points.last().Precision))) << endl;
const int keep = qMin(points.size(), Max_Points);
if (keep < 1) qFatal("Insufficient points.");
QStringList lines; lines.reserve(keep);
if (keep == 1) {
const DetectionOperatingPoint &point = points[0];
lines.append(QString("%1ROC, %2, %3").arg(discrete ? "Discrete" : "Continuous", QString::number(point.FalsePositiveRate), QString::number(point.Recall)));
lines.append(QString("%1PR, %2, %3").arg(discrete ? "Discrete" : "Continuous", QString::number(point.Recall), QString::number(point.Precision)));
} else {
for (int i=0; i<keep; i++) {
const DetectionOperatingPoint &point = points[double(i) / double(keep-1) * double(points.size()-1)];
lines.append(QString("%1ROC, %2, %3").arg(discrete ? "Discrete" : "Continuous", QString::number(point.FalsePositiveRate), QString::number(point.Recall)));
lines.append(QString("%1PR, %2, %3").arg(discrete ? "Discrete" : "Continuous", QString::number(point.Recall), QString::number(point.Precision)));
}
}
return lines;
}
QDebug operator<<(QDebug dbg, const ResolvedDetection &d)
{
return dbg.nospace() << "(FilePath: " << d.filePath << " Bounding Box: " << d.boundingBox << ", Overlap: " << d.overlap << ", Confidence: " << d.confidence << ")";
}