Bugs in the test for LatentSVM were fixed.

modules/objdetect/src/latentsvm.cpp

@@ -576,10 +576,21 @@ int searchObjectThresholdSomeComponents(const CvLSVMFeaturePyramid *H,
     for (i = 0; i < kComponents; i++)
     {
 #ifdef HAVE_TBB
-        searchObjectThreshold(H, &(filters[componentIndex]), kPartFilters[i],
+        error = searchObjectThreshold(H, &(filters[componentIndex]), kPartFilters[i],
             b[i], maxXBorder, maxYBorder, scoreThreshold,
             &(pointsArr[i]), &(levelsArr[i]), &(kPointsArr[i]), 
             &(scoreArr[i]), &(partsDisplacementArr[i]), numThreads);
+        if (error != LATENT_SVM_OK)
+        {
+            // Release allocated memory
+            free(pointsArr);
+            free(oppPointsArr);
+            free(scoreArr);
+            free(kPointsArr);
+            free(levelsArr);
+            free(partsDisplacementArr);
+            return LATENT_SVM_SEARCH_OBJECT_FAILED;
+        }
 #else
         searchObjectThreshold(H, &(filters[componentIndex]), kPartFilters[i],
             b[i], maxXBorder, maxYBorder, scoreThreshold, 

modules/objdetect/src/latentsvmdetector.cpp

@@ -95,16 +95,22 @@ CvSeq* cvLatentSvmDetectObjects(IplImage* image,
 	CvPoint *oppPointsOut = 0; 
     float *scoreOut = 0;
 	CvSeq* result_seq = 0;
+    int error = 0;
 
     cvConvertImage(image, image, CV_CVTIMG_SWAP_RB);
     // Getting maximum filter dimensions
-	getMaxFilterDims((const CvLSVMFilterObject**)(detector->filters), detector->num_components, detector->num_part_filters, &maxXBorder, &maxYBorder);
+	getMaxFilterDims((const CvLSVMFilterObject**)(detector->filters), detector->num_components, 
+                     detector->num_part_filters, &maxXBorder, &maxYBorder);
     // Create feature pyramid with nullable border
     H = createFeaturePyramidWithBorder(image, maxXBorder, maxYBorder);
     // Search object
-    searchObjectThresholdSomeComponents(H, (const CvLSVMFilterObject**)(detector->filters), detector->num_components, 
-		detector->num_part_filters, detector->b, detector->score_threshold, 
-                &points, &oppPoints, &score, &kPoints, numThreads);
+    error = searchObjectThresholdSomeComponents(H, (const CvLSVMFilterObject**)(detector->filters), 
+        detector->num_components, detector->num_part_filters, detector->b, detector->score_threshold, 
+        &points, &oppPoints, &score, &kPoints, numThreads);
+    if (error != LATENT_SVM_OK)
+    {
+        return NULL;
+    }
     // Clipping boxes
     clippingBoxes(image->width, image->height, points, kPoints);
     clippingBoxes(image->width, image->height, oppPoints, kPoints);

modules/objdetect/test/test_latentsvmdetector.cpp

@@ -44,6 +44,14 @@
 
 #include <string>
 
+#ifdef HAVE_CONFIG_H 
+#include <cvconfig.h> 
+#endif
+
+#ifdef HAVE_TBB
+#include "tbb/task_scheduler_init.h"
+#endif
+
 using namespace cv;
 
 const int num_detections = 3;
@@ -77,7 +85,12 @@ void CV_LatentSVMDetectorTest::run( int /* start_from */)
 {      
     string img_path = string(ts->get_data_path()) + "latentsvmdetector/cat.jpg";
 	string model_path = string(ts->get_data_path()) + "latentsvmdetector/cat.xml";
-
+    int numThreads = -1;
+#ifdef HAVE_TBB
+    numThreads = 2;
+    tbb::task_scheduler_init init(tbb::task_scheduler_init::deferred);
+	init.initialize(numThreads);
+#endif
 	IplImage* image = cvLoadImage(img_path.c_str());
 	if (!image)
     {
@@ -95,8 +108,7 @@ void CV_LatentSVMDetectorTest::run( int /* start_from */)
 
 	CvMemStorage* storage = cvCreateMemStorage(0);
     CvSeq* detections = 0;         
-	detections = cvLatentSvmDetectObjects(image, detector, storage);
-
+    detections = cvLatentSvmDetectObjects(image, detector, storage, 0.5f, numThreads);
 	if (detections->total != num_detections)
 	{
 		ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
@@ -116,7 +128,9 @@ void CV_LatentSVMDetectorTest::run( int /* start_from */)
 			}
 		}
 	}
-
+#ifdef HAVE_TBB
+    init.terminate();
+#endif
 	cvReleaseMemStorage( &storage );
 	cvReleaseLatentSvmDetector( &detector );
     cvReleaseImage( &image );

tests/cv/src/latentsvmdetector.cpp

@@ -43,6 +43,10 @@
 #include "cvtest.h"
 #include <string>
 
+#ifdef HAVE_TBB
+#include "tbb/task_scheduler_init.h"
+#endif
+
 using namespace cv;
 
 const int num_detections = 3;
@@ -75,27 +79,31 @@ bool CV_LatentSVMDetectorTest::isEqual(CvRect r1, CvRect r2)
 
 void CV_LatentSVMDetectorTest::run( int /* start_from */)
 {      
-    string img_path = string(ts->get_data_path()) + "latentsvmdetector/cat.jpg";
-	string model_path = string(ts->get_data_path()) + "latentsvmdetector/cat.xml";
+    int numThreads = -1;
+#ifdef HAVE_TBB
+    numThreads = 2;
+    tbb::task_scheduler_init init(tbb::task_scheduler_init::deferred);
+	init.initialize(numThreads);
+#endif
 
 	IplImage* image = cvLoadImage(img_path.c_str());
 	if (!image)
     {
-        ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
+        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
         return;
     }
 
 	CvLatentSvmDetector* detector = cvLoadLatentSvmDetector(model_path.c_str());
 	if (!detector)
 	{
-		ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
+		ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
 		cvReleaseImage(&image);
 		return;
 	}
 
 	CvMemStorage* storage = cvCreateMemStorage(0);
     CvSeq* detections = 0;         
-	detections = cvLatentSvmDetectObjects(image, detector, storage);
+    detections = cvLatentSvmDetectObjects(image, detector, storage, 0.5f, numThreads);
 
 	if (detections->total != num_detections)
 	{
@@ -117,6 +125,9 @@ void CV_LatentSVMDetectorTest::run( int /* start_from */)
 		}
 	}
 
+#ifdef HAVE_TBB
+    init.terminate();
+#endif
 	cvReleaseMemStorage( &storage );
 	cvReleaseLatentSvmDetector( &detector );
     cvReleaseImage( &image );