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Code Issues Releases Wiki Activity

Warnings Fix #1

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This commit is contained in:
Vladimir
2015-08-16 04:07:38 +09:00
parent 36f8dc2b67
commit c743244ff9
4 changed files with 33 additions and 17 deletions
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29
modules/tracking/src/multiTracker.cpp
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@@ -75,6 +75,7 @@ namespace cv
bool MultiTracker::update(const Mat& image)
{
printf("Naive-Loop MO-TLD Update....\n");
for (int i = 0; i < (int)trackers.size(); i++)
if (!trackers[i]->update(image, boundingBoxes[i]))
return false;
@@ -130,7 +131,7 @@ namespace cv
trackerPtr = trackers[k];
tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
//TLD Model Extraction
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->model));
data = tracker->data;
data->frameNum++;
@@ -236,7 +237,14 @@ namespace cv
}
//Debug display candidates after Variance Filter
////////////////////////////////////////////////
Mat tmpImg = image;
for (int i = 0; i < (int)debugStack[0].size(); i++)
//rectangle(tmpImg, debugStack[0][i], Scalar(255, 255, 255), 1, 1, 0);
debugStack[0].clear();
tmpImg.copyTo(image);
////////////////////////////////////////////////
return true;
}
@@ -311,7 +319,7 @@ namespace cv
trackerPtr = trackers[k];
tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
//TLD Model Extraction
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->model));
//Optimized variance calculation
bool varPass = (windowVar > tld::VARIANCE_THRESHOLD * *tldModel->detector->originalVariancePtr);
@@ -334,13 +342,14 @@ namespace cv
} while (size.width >= initSize.width && size.height >= initSize.height);
//Encsemble classification
//e1 = getTickCount();
for (int k = 0; k < (int)trackers.size(); k++)
{
//TLD Tracker data extraction
trackerPtr = trackers[k];
tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
//TLD Model Extraction
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->model));
for (int i = 0; i < (int)varBuffer[k].size(); i++)
@@ -376,13 +385,14 @@ namespace cv
}
//NN classification
//e1 = getTickCount();
for (int k = 0; k < (int)trackers.size(); k++)
{
//TLD Tracker data extraction
trackerPtr = trackers[k];
tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
//TLD Model Extraction
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->model));
npos = 0;
nneg = 0;
@@ -505,7 +515,7 @@ namespace cv
trackerPtr = trackers[k];
tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
//TLD Model Extraction
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->model));
//Optimized variance calculation
bool varPass = (windowVar > tld::VARIANCE_THRESHOLD * *tldModel->detector->originalVariancePtr);
@@ -528,13 +538,14 @@ namespace cv
} while (size.width >= initSize.width && size.height >= initSize.height);
//Encsemble classification
//e1 = getTickCount();
for (int k = 0; k < (int)trackers.size(); k++)
{
//TLD Tracker data extraction
trackerPtr = trackers[k];
tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
//TLD Model Extraction
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->model));
for (int i = 0; i < (int)varBuffer[k].size(); i++)
@@ -570,13 +581,15 @@ namespace cv
}
//NN classification
//e1 = getTickCount();
for (int k = 0; k < (int)trackers.size(); k++)
{
//TLD Tracker data extraction
trackerPtr = trackers[k];
tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
//TLD Model Extraction
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->model));
//Size InitSize = tldModel->getMinSize();
npos = 0;
nneg = 0;
maxSc = -5.0;