Store each detection as its own Template, using the file metadata Detection and Confidence

Austin Blanton
1 parent b29a6349
Showing 1 changed file with 77 additions and 49 deletions
openbr/plugins/slidingwindow.cpp
@@ -68,32 +68,37 @@ private:
     void project(const Template &src, Template &dst) const
     {
-        dst = src;
+        (void)src;(void)dst;qFatal("don't do that");
+    }
+
+    void project(const TemplateList &src, TemplateList &dst) const
+    {
         // no need to slide a window over ground truth data
-        if (src.file.getBool("Train", false)) return;
-
-        dst.file.clearRects();
-        float scale = src.file.get<float>("scale", 1);
-        Template windowTemplate(src.file, src);
-        QList<float> confidences = dst.file.getList<float>("Confidences", QList<float>());
-        for (double y = 0; y + windowHeight < src.m().rows; y += stepSize) {
-            for (double x = 0; x + windowWidth < src.m().cols; x += stepSize) {
-                Mat windowMat(src, Rect(x, y, windowWidth, windowHeight));
-                windowTemplate.replace(0,windowMat);
-                Template detect;
-                transform->project(windowTemplate, detect);
-                float conf = detect.m().at<float>(0);
-
-                // the result will be in the Label
-                if (conf > threshold) {
-                    dst.file.appendRect(QRectF((float) x * scale, (float) y * scale, (float) windowWidth * scale, (float) windowHeight * scale));
-                    confidences.append(conf);
-                    if (takeFirst)
-                        return;
+        if (src.first().file.getBool("Train", false)) {
+            dst = src;
+            return;
+        }
+
+        foreach (const Template &t, src) {
+            float scale = t.file.get<float>("scale", 1);
+            for (double y = 0; y + windowHeight < t.m().rows; y += stepSize) {
+                for (double x = 0; x + windowWidth < t.m().cols; x += stepSize) {
+                    Mat windowMat(t.m(), Rect(x, y, windowWidth, windowHeight));
+                    Template detect;
+                    transform->project(Template(t.file, windowMat), detect);
+
+                    // the result will be the only value in the Mat
+                    float conf = detect.m().at<float>(0);
+                    if (conf > threshold) {
+                        detect.file.set("Detection", QRectF((float) x * scale, (float) y * scale, (float) windowWidth * scale, (float) windowHeight * scale));
+                        detect.file.set("Confidence", conf);
+                        dst.append(detect);
+                        if (takeFirst)
+                            return;
+                    }
                 }
             }
         }
-        dst.file.setList<float>("Confidences", confidences);
     }
     void store(QDataStream &stream) const
@@ -174,7 +179,7 @@ static TemplateList cropTrainingSamples(const TemplateList &amp;data, const float as
 /*!
  * \ingroup transforms
- * \brief .
+ * \brief Pass along images at different scales.
  * \author Austin Blanton \cite imaus10
  */
 class BuildScalesTransform : public MetaTransform
@@ -219,25 +224,38 @@ private:
     void project(const Template &src, Template &dst) const
     {
-        dst = src;
+        (void)src;(void)dst;qFatal("please don't");
+    }
+
+    void project(const TemplateList &src, TemplateList &dst) const
+    {
         // do not scale images during training
-        if (src.file.getBool("Train", false)) return;
-
-        int rows = src.m().rows;
-        int cols = src.m().cols;
-        int windowHeight = (int) qRound((float) windowWidth / aspectRatio);
-        float startScale;
-        if ((cols / rows) > aspectRatio)
-            startScale = qRound((float) rows / (float) windowHeight);
-        else
-            startScale = qRound((float) cols / (float) windowWidth);
-        for (float scale = startScale; scale >= minScale; scale -= (1.0 - scaleFactor)) {
-            Template scaleImg(src.file, Mat());
-            scaleImg.file.set("scale", scale);
-            resize(src, scaleImg, Size(qRound(cols / scale), qRound(rows / scale)));
-            transform->project(scaleImg, dst);
-            if (takeLargestScale && !dst.file.rects().empty())
-                return;
+        if (src.first().file.getBool("Train", false)) {
+            dst = src;
+            return;
+        }
+
+        foreach(const Template &t, src) {
+            int rows = t.m().rows;
+            int cols = t.m().cols;
+            int windowHeight = (int) qRound((float) windowWidth / aspectRatio);
+            float startScale;
+            if ((cols / rows) > aspectRatio)
+                startScale = qRound((float) rows / (float) windowHeight);
+            else
+                startScale = qRound((float) cols / (float) windowWidth);
+            for (float scale = startScale; scale >= minScale; scale -= (1.0 - scaleFactor)) {
+                Template scaleImg(t.file, Mat());
+                scaleImg.file.set("scale", scale);
+                resize(t.m(), scaleImg.m(), Size(qRound(cols / scale), qRound(rows / scale)));
+                TemplateList results;
+                TemplateList input;
+                input.append(scaleImg);
+                transform->project(input, results);
+                dst.append(results);
+                if (takeLargestScale && !dst.empty())
+                    return;
+            }
         }
     }
@@ -328,12 +346,19 @@ private:
     void project(const Template &src, Template &dst) const
     {
-        dst = src;
-        if (!dst.file.contains("Confidences"))
-            return;
+        (void)src;(void)dst;qFatal("nope");
+    }
-        //Compute overlap between rectangles and create discrete Laplacian matrix
-        QList<Rect> rects = OpenCVUtils::toRects(src.file.rects());
+    void project(const TemplateList &src, TemplateList &dst) const
+    {
+        QList<Rect> rects;
+        QList<float> confidences;
+        foreach (const Template &t, src) {
+            rects.append(OpenCVUtils::toRect(t.file.get<QRectF>("Detection")));
+            confidences.append(t.file.get<float>("Confidence"));
+        }
+
+        // Compute overlap between rectangles and create discrete Laplacian matrix
         int n = rects.size();
         if (n == 0)
             return;
@@ -397,7 +422,6 @@ private:
             cnts[i] = 0;
         }
-        QList<float> confidences = dst.file.getList<float>("Confidences");
         for (int i = 0; i < n; i++) {
             mx = 0.0;
             mxIdx = -1;
@@ -432,8 +456,12 @@ private:
             }
         }
-        dst.file.setRects(consolidatedRects);
-        dst.file.setList<float>("Confidences", consolidatedConfidences);
+        for (int i=0; i<consolidatedRects.size(); i++) {
+            Template t(src.first().file);
+            t.file.set("Detection", OpenCVUtils::fromRect(consolidatedRects.at(i)));
+            t.file.set("Confidence", consolidatedConfidences.at(i));
+            dst.append(t);
+        }
     }
 };