mirror of
https://github.com/kerberos-io/openalpr-base.git
synced 2025-10-06 06:46:53 +08:00
Integrated mask into detection code
This commit is contained in:
@@ -29,12 +29,26 @@ namespace alpr
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{
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{
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this->config = config;
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this->config = config;
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// Load the mask specified in the config if it exists
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if (config->detection_mask_image.length() > 0 && fileExists(config->detection_mask_image.c_str()))
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{
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// Load the image mask
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if (config->debugDetector)
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cout << "Loading detector mask: " << config->detection_mask_image << endl;
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Mat newMask = cv::imread(config->detection_mask_image);
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setMask(newMask);
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}
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}
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}
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Detector::~Detector()
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Detector::~Detector()
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{
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{
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}
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}
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void Detector::setMask(cv::Mat mask) {
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detector_mask.setMask(mask);
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}
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bool Detector::isLoaded()
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bool Detector::isLoaded()
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{
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{
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@@ -28,6 +28,8 @@
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#include "detector_types.h"
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#include "detector_types.h"
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#include "support/timing.h"
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#include "support/timing.h"
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#include "constants.h"
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#include "constants.h"
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#include "detectormask.h"
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#include "prewarp.h"
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namespace alpr
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namespace alpr
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{
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{
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@@ -38,16 +40,20 @@ namespace alpr
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{
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{
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public:
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public:
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Detector(Config* config);
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Detector(Config* config, PreWarp* prewarp);
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virtual ~Detector();
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virtual ~Detector();
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bool isLoaded();
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bool isLoaded();
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std::vector<PlateRegion> detect(cv::Mat frame);
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std::vector<PlateRegion> detect(cv::Mat frame);
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virtual std::vector<PlateRegion> detect(cv::Mat frame, std::vector<cv::Rect> regionsOfInterest);
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virtual std::vector<PlateRegion> detect(cv::Mat frame, std::vector<cv::Rect> regionsOfInterest);
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//virtual std::vector<cv::Rect> find_plates(cv::Mat frame)=0;
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void setMask(cv::Mat mask);
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protected:
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protected:
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Config* config;
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Config* config;
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bool loaded;
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bool loaded;
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DetectorMask detector_mask;
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DetectorMask detector_mask;
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@@ -26,11 +26,10 @@ namespace alpr
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{
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{
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DetectorCPU::DetectorCPU(Config* config) : Detector(config) {
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DetectorCPU::DetectorCPU(Config* config, PreWarp* prewarp) : Detector(config, prewarp) {
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DetectorCPU::DetectorCPU(Config* config, PreWarp* prewarp) : Detector(config, prewarp) {
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if( this->plate_cascade.load( get_detector_file() ) )
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if( this->plate_cascade.load( get_detector_file() ) )
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{
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{
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this->loaded = true;
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this->loaded = true;
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@@ -60,18 +59,27 @@ namespace alpr
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frame.copyTo(frame_gray);
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frame.copyTo(frame_gray);
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}
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}
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// Apply the detection mask if it has been specified by the user
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if (detector_mask.mask_loaded)
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frame_gray = detector_mask.apply_mask(frame_gray);
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vector<PlateRegion> detectedRegions;
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vector<PlateRegion> detectedRegions;
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for (int i = 0; i < regionsOfInterest.size(); i++)
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for (int i = 0; i < regionsOfInterest.size(); i++)
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{
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{
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Rect roi = regionsOfInterest[i];
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// Adjust the ROI to be inside the detection mask (if it exists)
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if (detector_mask.mask_loaded)
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roi = detector_mask.getRoiInsideMask(roi);
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// Sanity check. If roi width or height is less than minimum possible plate size,
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// Sanity check. If roi width or height is less than minimum possible plate size,
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// then skip it
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// then skip it
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if ((regionsOfInterest[i].width < config->minPlateSizeWidthPx) ||
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if ((roi.width < config->minPlateSizeWidthPx) ||
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(regionsOfInterest[i].height < config->minPlateSizeHeightPx))
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(roi.height < config->minPlateSizeHeightPx))
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continue;
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continue;
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Mat cropped = frame_gray(regionsOfInterest[i]);
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Mat cropped = frame_gray(roi);
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vector<PlateRegion> subRegions = doCascade(cropped, regionsOfInterest[i].x, regionsOfInterest[i].y);
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vector<PlateRegion> subRegions = doCascade(cropped, roi.x, roi.y);
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for (int j = 0; j < subRegions.size(); j++)
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for (int j = 0; j < subRegions.size(); j++)
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detectedRegions.push_back(subRegions[j]);
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detectedRegions.push_back(subRegions[j]);
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@@ -79,6 +87,7 @@ namespace alpr
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return detectedRegions;
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return detectedRegions;
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}
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}
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vector<PlateRegion> DetectorCPU::doCascade(Mat frame, int offset_x, int offset_y)
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vector<PlateRegion> DetectorCPU::doCascade(Mat frame, int offset_x, int offset_y)
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{
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{
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@@ -102,7 +111,7 @@ namespace alpr
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float maxHeight = ((float) h) * (config->maxPlateHeightPercent / 100.0f) * scale_factor;
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float maxHeight = ((float) h) * (config->maxPlateHeightPercent / 100.0f) * scale_factor;
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Size minSize(config->minPlateSizeWidthPx * scale_factor, config->minPlateSizeHeightPx * scale_factor);
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Size minSize(config->minPlateSizeWidthPx * scale_factor, config->minPlateSizeHeightPx * scale_factor);
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Size maxSize(maxWidth, maxHeight);
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Size maxSize(maxWidth, maxHeight);
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plate_cascade.detectMultiScale( frame, plates, config->detection_iteration_increase, config->detectionStrictness,
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plate_cascade.detectMultiScale( frame, plates, config->detection_iteration_increase, config->detectionStrictness,
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CV_HAAR_DO_CANNY_PRUNING,
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CV_HAAR_DO_CANNY_PRUNING,
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//0|CV_HAAR_SCALE_IMAGE,
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//0|CV_HAAR_SCALE_IMAGE,
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