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Integrated mask into detection code

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Matt Hill
2016-03-14 22:28:46 -04:00
parent 3096fa0da2
commit a0dff3d2af
3 changed files with 38 additions and 9 deletions
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23
src/openalpr/detection/detectorcpu.cpp
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@@ -26,11 +26,10 @@ namespace alpr
{
DetectorCPU::DetectorCPU(Config* config) : Detector(config) {
DetectorCPU::DetectorCPU(Config* config, PreWarp* prewarp) : Detector(config, prewarp) {
if( this->plate_cascade.load( get_detector_file() ) )
{
this->loaded = true;
@@ -60,18 +59,27 @@ namespace alpr
frame.copyTo(frame_gray);
}
// Apply the detection mask if it has been specified by the user
if (detector_mask.mask_loaded)
frame_gray = detector_mask.apply_mask(frame_gray);
vector<PlateRegion> detectedRegions;
for (int i = 0; i < regionsOfInterest.size(); i++)
{
Rect roi = regionsOfInterest[i];
// Adjust the ROI to be inside the detection mask (if it exists)
if (detector_mask.mask_loaded)
roi = detector_mask.getRoiInsideMask(roi);
// Sanity check. If roi width or height is less than minimum possible plate size,
// then skip it
if ((regionsOfInterest[i].width < config->minPlateSizeWidthPx) ||
(regionsOfInterest[i].height < config->minPlateSizeHeightPx))
if ((roi.width < config->minPlateSizeWidthPx) ||
(roi.height < config->minPlateSizeHeightPx))
continue;
Mat cropped = frame_gray(regionsOfInterest[i]);
vector<PlateRegion> subRegions = doCascade(cropped, regionsOfInterest[i].x, regionsOfInterest[i].y);
Mat cropped = frame_gray(roi);
vector<PlateRegion> subRegions = doCascade(cropped, roi.x, roi.y);
for (int j = 0; j < subRegions.size(); j++)
detectedRegions.push_back(subRegions[j]);
@@ -79,6 +87,7 @@ namespace alpr
return detectedRegions;
}
vector<PlateRegion> DetectorCPU::doCascade(Mat frame, int offset_x, int offset_y)
{
@@ -102,7 +111,7 @@ namespace alpr
float maxHeight = ((float) h) * (config->maxPlateHeightPercent / 100.0f) * scale_factor;
Size minSize(config->minPlateSizeWidthPx * scale_factor, config->minPlateSizeHeightPx * scale_factor);
Size maxSize(maxWidth, maxHeight);
plate_cascade.detectMultiScale( frame, plates, config->detection_iteration_increase, config->detectionStrictness,
CV_HAAR_DO_CANNY_PRUNING,
//0|CV_HAAR_SCALE_IMAGE,