mirror of
https://github.com/kerberos-io/openalpr-base.git
synced 2025-10-06 00:17:08 +08:00
Added DetectorCPU class and factory to instantiate it. Updated openalpr to use new class
This commit is contained in:
@@ -30,6 +30,7 @@
|
||||
|
||||
#include "endtoendtest.h"
|
||||
|
||||
#include "detection/detectorfactory.h"
|
||||
#include "support/filesystem.h"
|
||||
|
||||
using namespace std;
|
||||
@@ -146,7 +147,7 @@ int main( int argc, const char** argv )
|
||||
else if (benchmarkName.compare("detection") == 0)
|
||||
{
|
||||
Config config(country);
|
||||
RegionDetector plateDetector(&config);
|
||||
Detector* plateDetector = createDetector(&config);
|
||||
|
||||
for (int i = 0; i< files.size(); i++)
|
||||
{
|
||||
@@ -155,12 +156,14 @@ int main( int argc, const char** argv )
|
||||
string fullpath = inDir + "/" + files[i];
|
||||
frame = imread( fullpath.c_str() );
|
||||
|
||||
vector<PlateRegion> regions = plateDetector.detect(frame);
|
||||
vector<PlateRegion> regions = plateDetector->detect(frame);
|
||||
|
||||
imshow("Current LP", frame);
|
||||
waitKey(5);
|
||||
}
|
||||
}
|
||||
|
||||
delete plateDetector;
|
||||
}
|
||||
else if (benchmarkName.compare("speed") == 0)
|
||||
{
|
||||
@@ -176,7 +179,7 @@ int main( int argc, const char** argv )
|
||||
alpr.config->debugOff();
|
||||
alpr.setDetectRegion(true);
|
||||
|
||||
RegionDetector plateDetector(&config);
|
||||
Detector* plateDetector = createDetector(&config);
|
||||
StateIdentifier stateIdentifier(&config);
|
||||
OCR ocr(&config);
|
||||
|
||||
@@ -207,7 +210,7 @@ int main( int argc, const char** argv )
|
||||
endToEndTimes.push_back(endToEndTime);
|
||||
|
||||
getTime(&startTime);
|
||||
vector<PlateRegion> regions = plateDetector.detect(frame);
|
||||
vector<PlateRegion> regions = plateDetector->detect(frame);
|
||||
getTime(&endTime);
|
||||
|
||||
double regionDetectionTime = diffclock(startTime, endTime);
|
||||
|
@@ -24,7 +24,6 @@
|
||||
#include <stdio.h>
|
||||
#include <sys/stat.h>
|
||||
|
||||
#include "regiondetector.h"
|
||||
#include "licenseplatecandidate.h"
|
||||
#include "stateidentifier.h"
|
||||
#include "utility.h"
|
||||
|
@@ -24,7 +24,6 @@
|
||||
#include <stdio.h>
|
||||
#include <sys/stat.h>
|
||||
|
||||
#include "regiondetector.h"
|
||||
#include "licenseplatecandidate.h"
|
||||
#include "stateidentifier.h"
|
||||
#include "utility.h"
|
||||
|
@@ -6,7 +6,8 @@ set(lpr_source_files
|
||||
alpr.cpp
|
||||
alpr_impl.cpp
|
||||
config.cpp
|
||||
regiondetector.cpp
|
||||
detection/detector.cpp
|
||||
detection/detectorcpu.cpp
|
||||
licenseplatecandidate.cpp
|
||||
utility.cpp
|
||||
stateidentifier.cpp
|
||||
|
@@ -37,7 +37,7 @@ AlprImpl::AlprImpl(const std::string country, const std::string configFile, cons
|
||||
return;
|
||||
}
|
||||
|
||||
plateDetector = new RegionDetector(config);
|
||||
plateDetector = createDetector(config);
|
||||
stateIdentifier = new StateIdentifier(config);
|
||||
ocr = new OCR(config);
|
||||
setNumThreads(0);
|
||||
|
@@ -27,7 +27,9 @@
|
||||
#include "alpr.h"
|
||||
#include "config.h"
|
||||
|
||||
#include "regiondetector.h"
|
||||
#include "detection/detector.h"
|
||||
#include "detection/detectorfactory.h"
|
||||
|
||||
#include "licenseplatecandidate.h"
|
||||
#include "stateidentifier.h"
|
||||
#include "segmentation/charactersegmenter.h"
|
||||
@@ -86,7 +88,7 @@ class AlprImpl
|
||||
|
||||
private:
|
||||
|
||||
RegionDetector* plateDetector;
|
||||
Detector* plateDetector;
|
||||
StateIdentifier* stateIdentifier;
|
||||
OCR* ocr;
|
||||
|
||||
|
@@ -17,128 +17,46 @@
|
||||
* along with this program. If not, see <http://www.gnu.org/licenses/>.
|
||||
*/
|
||||
|
||||
#include "regiondetector.h"
|
||||
#include "detector.h"
|
||||
|
||||
using namespace cv;
|
||||
using namespace std;
|
||||
|
||||
RegionDetector::RegionDetector(Config* config)
|
||||
Detector::Detector(Config* config)
|
||||
{
|
||||
this->config = config;
|
||||
this->scale_factor = 1.0f;
|
||||
|
||||
// Load either the regular or OpenCL version of the cascade classifier
|
||||
this->plate_cascade = new CascadeClassifier();
|
||||
|
||||
|
||||
if( this->plate_cascade->load( config->getCascadeRuntimeDir() + config->country + ".xml" ) )
|
||||
{
|
||||
this->loaded = true;
|
||||
}
|
||||
else
|
||||
{
|
||||
this->loaded = false;
|
||||
printf("--(!)Error loading classifier\n");
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
RegionDetector::~RegionDetector()
|
||||
Detector::~Detector()
|
||||
{
|
||||
delete this->plate_cascade;
|
||||
|
||||
}
|
||||
|
||||
bool RegionDetector::isLoaded()
|
||||
bool Detector::isLoaded()
|
||||
{
|
||||
return this->loaded;
|
||||
}
|
||||
|
||||
vector<PlateRegion> RegionDetector::detect(cv::Mat frame)
|
||||
vector<PlateRegion> Detector::detect(cv::Mat frame)
|
||||
{
|
||||
std::vector<cv::Rect> regionsOfInterest;
|
||||
regionsOfInterest.push_back(Rect(0, 0, frame.cols, frame.rows));
|
||||
return this->detect(frame, regionsOfInterest);
|
||||
}
|
||||
|
||||
vector<PlateRegion> RegionDetector::detect(Mat frame, std::vector<cv::Rect> regionsOfInterest)
|
||||
vector<PlateRegion> Detector::detect(Mat frame, std::vector<cv::Rect> regionsOfInterest)
|
||||
{
|
||||
|
||||
Mat frame_gray;
|
||||
cvtColor( frame, frame_gray, CV_BGR2GRAY );
|
||||
|
||||
vector<PlateRegion> detectedRegions = doCascade(frame_gray, regionsOfInterest);
|
||||
|
||||
return detectedRegions;
|
||||
// Must be implemented by subclass
|
||||
std::vector<PlateRegion> rois;
|
||||
return rois;
|
||||
}
|
||||
|
||||
vector<PlateRegion> RegionDetector::doCascade(Mat frame, std::vector<cv::Rect> regionsOfInterest)
|
||||
{
|
||||
|
||||
|
||||
if (frame.cols > config->maxDetectionInputWidth)
|
||||
{
|
||||
// The frame is too wide
|
||||
this->scale_factor = ((float) config->maxDetectionInputWidth) / ((float) frame.cols);
|
||||
|
||||
if (config->debugGeneral)
|
||||
std::cout << "Input detection image is too wide. Resizing with scale: " << this->scale_factor << endl;
|
||||
}
|
||||
else if (frame.rows > config->maxDetectionInputHeight)
|
||||
{
|
||||
// The frame is too tall
|
||||
this->scale_factor = ((float) config->maxDetectionInputHeight) / ((float) frame.rows);
|
||||
|
||||
if (config->debugGeneral)
|
||||
std::cout << "Input detection image is too tall. Resizing with scale: " << this->scale_factor << endl;
|
||||
}
|
||||
|
||||
int w = frame.size().width;
|
||||
int h = frame.size().height;
|
||||
|
||||
vector<Rect> plates;
|
||||
|
||||
equalizeHist( frame, frame );
|
||||
resize(frame, frame, Size(w * this->scale_factor, h * this->scale_factor));
|
||||
|
||||
//-- Detect plates
|
||||
timespec startTime;
|
||||
getTime(&startTime);
|
||||
|
||||
float maxWidth = ((float) w) * (config->maxPlateWidthPercent / 100.0f) * this->scale_factor;
|
||||
float maxHeight = ((float) h) * (config->maxPlateHeightPercent / 100.0f) * this->scale_factor;
|
||||
Size minSize(config->minPlateSizeWidthPx * this->scale_factor, config->minPlateSizeHeightPx * this->scale_factor);
|
||||
Size maxSize(maxWidth, maxHeight);
|
||||
|
||||
plate_cascade->detectMultiScale( frame, plates, config->detection_iteration_increase, config->detectionStrictness,
|
||||
0,
|
||||
//0|CV_HAAR_SCALE_IMAGE,
|
||||
minSize, maxSize );
|
||||
|
||||
|
||||
if (config->debugTiming)
|
||||
{
|
||||
timespec endTime;
|
||||
getTime(&endTime);
|
||||
cout << "LBP Time: " << diffclock(startTime, endTime) << "ms." << endl;
|
||||
}
|
||||
|
||||
for( int i = 0; i < plates.size(); i++ )
|
||||
{
|
||||
plates[i].x = plates[i].x / scale_factor;
|
||||
plates[i].y = plates[i].y / scale_factor;
|
||||
plates[i].width = plates[i].width / scale_factor;
|
||||
plates[i].height = plates[i].height / scale_factor;
|
||||
}
|
||||
|
||||
vector<PlateRegion> orderedRegions = aggregateRegions(plates);
|
||||
|
||||
return orderedRegions;
|
||||
|
||||
}
|
||||
|
||||
bool rectHasLargerArea(cv::Rect a, cv::Rect b) { return a.area() < b.area(); };
|
||||
|
||||
vector<PlateRegion> RegionDetector::aggregateRegions(vector<Rect> regions)
|
||||
vector<PlateRegion> Detector::aggregateRegions(vector<Rect> regions)
|
||||
{
|
||||
// Combines overlapping regions into a parent->child order.
|
||||
// The largest regions will be parents, and they will have children if they are within them.
|
||||
@@ -185,25 +103,7 @@ vector<PlateRegion> RegionDetector::aggregateRegions(vector<Rect> regions)
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/*
|
||||
cv::Mat debugFrame = Mat::zeros( 700, 1300, CV_8UC3);
|
||||
|
||||
for (int i = 0; i < regions.size(); i++)
|
||||
{
|
||||
// Draw all level
|
||||
cv::rectangle(debugFrame, regions[i], Scalar(0, 0, 255), 2);
|
||||
}
|
||||
|
||||
for (int i = 0; i < topLevelRegions.size(); i++)
|
||||
{
|
||||
// Draw top level
|
||||
cv::rectangle(debugFrame, topLevelRegions[i].rect, Scalar(255, 0, 0), 2);
|
||||
}
|
||||
|
||||
drawAndWait(&debugFrame);
|
||||
*/
|
||||
|
||||
|
||||
|
||||
return topLevelRegions;
|
||||
}
|
||||
|
118
src/openalpr/detection/detectorcpu.cpp
Normal file
118
src/openalpr/detection/detectorcpu.cpp
Normal file
@@ -0,0 +1,118 @@
|
||||
/*
|
||||
* Copyright (c) 2013 New Designs Unlimited, LLC
|
||||
* Opensource Automated License Plate Recognition [http://www.openalpr.com]
|
||||
*
|
||||
* This file is part of OpenAlpr.
|
||||
*
|
||||
* OpenAlpr is free software: you can redistribute it and/or modify
|
||||
* it under the terms of the GNU Affero General Public License
|
||||
* version 3 as published by the Free Software Foundation
|
||||
*
|
||||
* This program is distributed in the hope that it will be useful,
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
* GNU Affero General Public License for more details.
|
||||
*
|
||||
* You should have received a copy of the GNU Affero General Public License
|
||||
* along with this program. If not, see <http://www.gnu.org/licenses/>.
|
||||
*/
|
||||
|
||||
#include "detectorcpu.h"
|
||||
|
||||
using namespace cv;
|
||||
using namespace std;
|
||||
|
||||
DetectorCPU::DetectorCPU(Config* config) : Detector(config) {
|
||||
|
||||
|
||||
|
||||
if( this->plate_cascade.load( config->getCascadeRuntimeDir() + config->country + ".xml" ) )
|
||||
{
|
||||
this->loaded = true;
|
||||
}
|
||||
else
|
||||
{
|
||||
this->loaded = false;
|
||||
printf("--(!)Error loading classifier\n");
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
DetectorCPU::~DetectorCPU() {
|
||||
}
|
||||
|
||||
vector<PlateRegion> DetectorCPU::detect(Mat frame, std::vector<cv::Rect> regionsOfInterest)
|
||||
{
|
||||
|
||||
Mat frame_gray;
|
||||
cvtColor( frame, frame_gray, CV_BGR2GRAY );
|
||||
|
||||
vector<PlateRegion> detectedRegions = doCascade(frame_gray, regionsOfInterest);
|
||||
|
||||
return detectedRegions;
|
||||
}
|
||||
|
||||
vector<PlateRegion> DetectorCPU::doCascade(Mat frame, std::vector<cv::Rect> regionsOfInterest)
|
||||
{
|
||||
|
||||
|
||||
if (frame.cols > config->maxDetectionInputWidth)
|
||||
{
|
||||
// The frame is too wide
|
||||
this->scale_factor = ((float) config->maxDetectionInputWidth) / ((float) frame.cols);
|
||||
|
||||
if (config->debugGeneral)
|
||||
std::cout << "Input detection image is too wide. Resizing with scale: " << this->scale_factor << endl;
|
||||
}
|
||||
else if (frame.rows > config->maxDetectionInputHeight)
|
||||
{
|
||||
// The frame is too tall
|
||||
this->scale_factor = ((float) config->maxDetectionInputHeight) / ((float) frame.rows);
|
||||
|
||||
if (config->debugGeneral)
|
||||
std::cout << "Input detection image is too tall. Resizing with scale: " << this->scale_factor << endl;
|
||||
}
|
||||
|
||||
int w = frame.size().width;
|
||||
int h = frame.size().height;
|
||||
|
||||
vector<Rect> plates;
|
||||
|
||||
equalizeHist( frame, frame );
|
||||
resize(frame, frame, Size(w * this->scale_factor, h * this->scale_factor));
|
||||
|
||||
//-- Detect plates
|
||||
timespec startTime;
|
||||
getTime(&startTime);
|
||||
|
||||
float maxWidth = ((float) w) * (config->maxPlateWidthPercent / 100.0f) * this->scale_factor;
|
||||
float maxHeight = ((float) h) * (config->maxPlateHeightPercent / 100.0f) * this->scale_factor;
|
||||
Size minSize(config->minPlateSizeWidthPx * this->scale_factor, config->minPlateSizeHeightPx * this->scale_factor);
|
||||
Size maxSize(maxWidth, maxHeight);
|
||||
|
||||
plate_cascade.detectMultiScale( frame, plates, config->detection_iteration_increase, config->detectionStrictness,
|
||||
0,
|
||||
//0|CV_HAAR_SCALE_IMAGE,
|
||||
minSize, maxSize );
|
||||
|
||||
|
||||
if (config->debugTiming)
|
||||
{
|
||||
timespec endTime;
|
||||
getTime(&endTime);
|
||||
cout << "LBP Time: " << diffclock(startTime, endTime) << "ms." << endl;
|
||||
}
|
||||
|
||||
for( int i = 0; i < plates.size(); i++ )
|
||||
{
|
||||
plates[i].x = plates[i].x / scale_factor;
|
||||
plates[i].y = plates[i].y / scale_factor;
|
||||
plates[i].width = plates[i].width / scale_factor;
|
||||
plates[i].height = plates[i].height / scale_factor;
|
||||
}
|
||||
|
||||
vector<PlateRegion> orderedRegions = aggregateRegions(plates);
|
||||
|
||||
return orderedRegions;
|
||||
|
||||
}
|
49
src/openalpr/detection/detectorcpu.h
Normal file
49
src/openalpr/detection/detectorcpu.h
Normal file
@@ -0,0 +1,49 @@
|
||||
/*
|
||||
* Copyright (c) 2013 New Designs Unlimited, LLC
|
||||
* Opensource Automated License Plate Recognition [http://www.openalpr.com]
|
||||
*
|
||||
* This file is part of OpenAlpr.
|
||||
*
|
||||
* OpenAlpr is free software: you can redistribute it and/or modify
|
||||
* it under the terms of the GNU Affero General Public License
|
||||
* version 3 as published by the Free Software Foundation
|
||||
*
|
||||
* This program is distributed in the hope that it will be useful,
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
* GNU Affero General Public License for more details.
|
||||
*
|
||||
* You should have received a copy of the GNU Affero General Public License
|
||||
* along with this program. If not, see <http://www.gnu.org/licenses/>.
|
||||
*/
|
||||
|
||||
#ifndef OPENALPR_DETECTORCPU_H
|
||||
#define OPENALPR_DETECTORCPU_H
|
||||
|
||||
#include <stdio.h>
|
||||
#include <iostream>
|
||||
#include <vector>
|
||||
|
||||
#include "opencv2/objdetect/objdetect.hpp"
|
||||
#include "opencv2/imgproc/imgproc.hpp"
|
||||
#include "opencv2/core/core.hpp"
|
||||
#include "opencv2/ml/ml.hpp"
|
||||
|
||||
#include "detector.h"
|
||||
|
||||
class DetectorCPU : public Detector {
|
||||
public:
|
||||
DetectorCPU(Config* config);
|
||||
virtual ~DetectorCPU();
|
||||
|
||||
std::vector<PlateRegion> detect(cv::Mat frame, std::vector<cv::Rect> regionsOfInterest);
|
||||
|
||||
private:
|
||||
|
||||
cv::CascadeClassifier plate_cascade;
|
||||
|
||||
std::vector<PlateRegion> doCascade(cv::Mat frame, std::vector<cv::Rect> regionsOfInterest);
|
||||
};
|
||||
|
||||
#endif /* OPENALPR_DETECTORCPU_H */
|
||||
|
31
src/openalpr/detection/detectorfactory.h
Normal file
31
src/openalpr/detection/detectorfactory.h
Normal file
@@ -0,0 +1,31 @@
|
||||
/*
|
||||
* Copyright (c) 2013 New Designs Unlimited, LLC
|
||||
* Opensource Automated License Plate Recognition [http://www.openalpr.com]
|
||||
*
|
||||
* This file is part of OpenAlpr.
|
||||
*
|
||||
* OpenAlpr is free software: you can redistribute it and/or modify
|
||||
* it under the terms of the GNU Affero General Public License
|
||||
* version 3 as published by the Free Software Foundation
|
||||
*
|
||||
* This program is distributed in the hope that it will be useful,
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
* GNU Affero General Public License for more details.
|
||||
*
|
||||
* You should have received a copy of the GNU Affero General Public License
|
||||
* along with this program. If not, see <http://www.gnu.org/licenses/>.
|
||||
*/
|
||||
|
||||
#ifndef OPENALPR_DETECTORFACTORY_H
|
||||
#define OPENALPR_DETECTORFACTORY_H
|
||||
|
||||
#include "detectorcpu.h"
|
||||
|
||||
Detector* createDetector(Config* config)
|
||||
{
|
||||
return new DetectorCPU(config);
|
||||
}
|
||||
|
||||
#endif /* DETECTORFACTORY_H */
|
||||
|
Reference in New Issue
Block a user