dockerfile/openalpr-base
1
0
Fork 0
mirror of https://github.com/kerberos-io/openalpr-base.git synced 2025-10-06 03:46:59 +08:00
Code Issues Packages Projects Releases Wiki Activity

Removed (non-working) multithreading implementation. Going to reimplement it differently.

Browse Source
This commit is contained in:
Matt Hill
2014-08-31 11:31:58 -04:00
parent b1abce0abb
commit 01b00b0450
5 changed files with 101 additions and 235 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
config/openalpr.conf
View File

@@ -31,8 +31,6 @@ detection_strictness = 3
max_detection_input_width = 1280
max_detection_input_height = 720
multithreading_cores = 1
max_plate_angle_degrees = 15

246
src/openalpr/alpr_impl.cpp
View File

@@ -102,34 +102,107 @@ AlprFullDetails AlprImpl::recognizeFullDetails(cv::Mat img, std::vector<cv::Rect
// Find all the candidate regions
response.plateRegions = plateDetector->detect(img, regionsOfInterest);
// Get the number of threads specified and make sure the value is sane (cannot be greater than CPU cores or less than 1)
uint numThreads = config->multithreading_cores;
if (numThreads > tthread::thread::hardware_concurrency())
numThreads = tthread::thread::hardware_concurrency();
if (numThreads <= 0)
numThreads = 1;
PlateDispatcher dispatcher(response.plateRegions, &img,
config, stateIdentifier, ocr,
topN, detectRegion, defaultRegion);
// Spawn n threads to process all of the candidate regions and recognize
list<tthread::thread*> threads;
for (uint i = 0; i < numThreads; i++)
{
tthread::thread * t = new tthread::thread(plateAnalysisThread, (void *) &dispatcher);
threads.push_back(t);
}
queue<PlateRegion> plateQueue;
for (uint i = 0; i < response.plateRegions.size(); i++)
plateQueue.push(response.plateRegions[i]);
// Wait for all threads to finish
for(list<tthread::thread *>::iterator i = threads.begin(); i != threads.end(); ++ i)
while(!plateQueue.empty())
{
tthread::thread* t = *i;
t->join();
delete t;
PlateRegion plateRegion = plateQueue.front();
plateQueue.pop();
PipelineData pipeline_data(img, plateRegion.rect, config);
timespec platestarttime;
getTime(&platestarttime);
LicensePlateCandidate lp(&pipeline_data);
lp.recognize();
bool plateDetected = false;
if (pipeline_data.plate_area_confidence > 10)
{
AlprResult plateResult;
plateResult.region = defaultRegion;
plateResult.regionConfidence = 0;
for (int pointidx = 0; pointidx < 4; pointidx++)
{
plateResult.plate_points[pointidx].x = (int) pipeline_data.plate_corners[pointidx].x;
plateResult.plate_points[pointidx].y = (int) pipeline_data.plate_corners[pointidx].y;
}
if (detectRegion)
{
char statecode[4];
plateResult.regionConfidence = stateIdentifier->recognize(&pipeline_data);
if (plateResult.regionConfidence > 0)
{
plateResult.region = statecode;
}
}
ocr->performOCR(&pipeline_data);
ocr->postProcessor->analyze(plateResult.region, topN);
const vector<PPResult> ppResults = ocr->postProcessor->getResults();
int bestPlateIndex = 0;
for (uint pp = 0; pp < ppResults.size(); pp++)
{
if (pp >= topN)
break;
// Set our "best plate" match to either the first entry, or the first entry with a postprocessor template match
if (bestPlateIndex == 0 && ppResults[pp].matchesTemplate)
bestPlateIndex = pp;
if (ppResults[pp].letters.size() >= config->postProcessMinCharacters &&
ppResults[pp].letters.size() <= config->postProcessMaxCharacters)
{
AlprPlate aplate;
aplate.characters = ppResults[pp].letters;
aplate.overall_confidence = ppResults[pp].totalscore;
aplate.matches_template = ppResults[pp].matchesTemplate;
plateResult.topNPlates.push_back(aplate);
}
}
plateResult.result_count = plateResult.topNPlates.size();
if (plateResult.topNPlates.size() > 0)
plateResult.bestPlate = plateResult.topNPlates[bestPlateIndex];
timespec plateEndTime;
getTime(&plateEndTime);
plateResult.processing_time_ms = diffclock(platestarttime, plateEndTime);
if (plateResult.result_count > 0)
{
plateDetected = true;
response.results.push_back(plateResult);
}
}
if (!plateDetected)
{
// Not a valid plate
// Check if this plate has any children, if so, send them back up for processing
for (uint childidx = 0; childidx < plateRegion.children.size(); childidx++)
{
plateQueue.push(plateRegion.children[childidx]);
}
}
}
if (config->debugTiming)
{
timespec endTime;
@@ -144,11 +217,11 @@ AlprFullDetails AlprImpl::recognizeFullDetails(cv::Mat img, std::vector<cv::Rect
rectangle(img, response.plateRegions[i].rect, Scalar(0, 0, 255), 2);
}
for (uint i = 0; i < dispatcher.getRecognitionResults().size(); i++)
for (uint i = 0; i < response.results.size(); i++)
{
for (int z = 0; z < 4; z++)
{
AlprCoordinate* coords = dispatcher.getRecognitionResults()[i].plate_points;
AlprCoordinate* coords = response.results[i].plate_points;
Point p1(coords[z].x, coords[z].y);
Point p2(coords[(z + 1) % 4].x, coords[(z + 1) % 4].y);
line(img, p1, p2, Scalar(255,0,255), 2);
@@ -164,8 +237,6 @@ AlprFullDetails AlprImpl::recognizeFullDetails(cv::Mat img, std::vector<cv::Rect
}
response.results = dispatcher.getRecognitionResults();
if (config->debugPauseOnFrame)
{
// Pause indefinitely until they press a key
@@ -197,126 +268,7 @@ std::vector<AlprResult> AlprImpl::recognize(cv::Mat img, std::vector<cv::Rect> r
AlprFullDetails fullDetails = recognizeFullDetails(img, regionsOfInterest);
return fullDetails.results;
}
void plateAnalysisThread(void* arg)
{
PlateDispatcher* dispatcher = (PlateDispatcher*) arg;
if (dispatcher->config->debugGeneral)
cout << "Thread: " << tthread::this_thread::get_id() << " Initialized" << endl;
int loop_count = 0;
while (true)
{
PlateRegion plateRegion;
if (dispatcher->nextPlate(&plateRegion) == false)
break;
if (dispatcher->config->debugGeneral)
cout << "Thread: " << tthread::this_thread::get_id() << " loop " << ++loop_count << endl;
PipelineData pipeline_data(dispatcher->getImageCopy(), plateRegion.rect, dispatcher->config);
timespec platestarttime;
getTime(&platestarttime);
LicensePlateCandidate lp(&pipeline_data);
lp.recognize();
if (pipeline_data.plate_area_confidence <= 10)
{
// Not a valid plate
// Check if this plate has any children, if so, send them back up to the dispatcher for processing
for (uint childidx = 0; childidx < plateRegion.children.size(); childidx++)
{
dispatcher->appendPlate(plateRegion.children[childidx]);
}
}
else
{
AlprResult plateResult;
plateResult.region = dispatcher->defaultRegion;
plateResult.regionConfidence = 0;
for (int pointidx = 0; pointidx < 4; pointidx++)
{
plateResult.plate_points[pointidx].x = (int) pipeline_data.plate_corners[pointidx].x;
plateResult.plate_points[pointidx].y = (int) pipeline_data.plate_corners[pointidx].y;
}
if (dispatcher->detectRegion)
{
char statecode[4];
plateResult.regionConfidence = dispatcher->stateIdentifier->recognize(&pipeline_data);
if (plateResult.regionConfidence > 0)
{
plateResult.region = statecode;
}
}
// Tesseract OCR does not appear to be threadsafe
dispatcher->ocrMutex.lock();
dispatcher->ocr->performOCR(&pipeline_data);
dispatcher->ocr->postProcessor->analyze(plateResult.region, dispatcher->topN);
const vector<PPResult> ppResults = dispatcher->ocr->postProcessor->getResults();
dispatcher->ocrMutex.unlock();
int bestPlateIndex = 0;
for (uint pp = 0; pp < ppResults.size(); pp++)
{
if (pp >= dispatcher->topN)
break;
// Set our "best plate" match to either the first entry, or the first entry with a postprocessor template match
if (bestPlateIndex == 0 && ppResults[pp].matchesTemplate)
bestPlateIndex = pp;
if (ppResults[pp].letters.size() >= dispatcher->config->postProcessMinCharacters &&
ppResults[pp].letters.size() <= dispatcher->config->postProcessMaxCharacters)
{
AlprPlate aplate;
aplate.characters = ppResults[pp].letters;
aplate.overall_confidence = ppResults[pp].totalscore;
aplate.matches_template = ppResults[pp].matchesTemplate;
plateResult.topNPlates.push_back(aplate);
}
}
plateResult.result_count = plateResult.topNPlates.size();
if (plateResult.topNPlates.size() > 0)
plateResult.bestPlate = plateResult.topNPlates[bestPlateIndex];
timespec plateEndTime;
getTime(&plateEndTime);
plateResult.processing_time_ms = diffclock(platestarttime, plateEndTime);
if (plateResult.result_count > 0)
{
// Synchronized section
dispatcher->addResult(plateResult);
}
}
if (dispatcher->config->debugTiming)
{
timespec plateEndTime;
getTime(&plateEndTime);
cout << "Thread: " << tthread::this_thread::get_id() << " Finished loop " << loop_count << " in " << diffclock(platestarttime, plateEndTime) << "ms." << endl;
}
}
if (dispatcher->config->debugGeneral)
cout << "Thread: " << tthread::this_thread::get_id() << " Complete" << endl;
}
std::vector<cv::Rect> AlprImpl::convertRects(std::vector<AlprRegionOfInterest> regionsOfInterest)
{

84
src/openalpr/alpr_impl.h
View File

@@ -23,6 +23,8 @@
#include <list>
#include <sstream>
#include <vector>
#include <queue>
#include "alpr.h"
#include "config.h"
@@ -43,8 +45,6 @@
#include <opencv2/core/core.hpp>
#include "support/tinythread.h"
#include "support/platform.h"
#define DEFAULT_TOPN 25
@@ -101,86 +101,6 @@ class AlprImpl
cJSON* createJsonObj(const AlprResult* result);
};
class PlateDispatcher
{
public:
PlateDispatcher(std::vector<PlateRegion> plateRegions, cv::Mat* image,
Config* config,
StateIdentifier* stateIdentifier,
OCR* ocr,
int topN, bool detectRegion, std::string defaultRegion)
{
this->plateRegions = plateRegions;
this->frame = image;
this->config = config;
this->stateIdentifier = stateIdentifier;
this->ocr = ocr;
this->topN = topN;
this->detectRegion = detectRegion;
this->defaultRegion = defaultRegion;
}
cv::Mat getImageCopy()
{
tthread::lock_guard<tthread::mutex> guard(mMutex);
cv::Mat img(this->frame->size(), this->frame->type());
this->frame->copyTo(img);
return img;
}
bool nextPlate(PlateRegion* plateRegion)
{
tthread::lock_guard<tthread::mutex> guard(mMutex);
if (plateRegions.size() == 0)
return false;
*plateRegion = plateRegions[plateRegions.size() - 1];
plateRegions.pop_back();
return true;
}
void appendPlate(PlateRegion plate)
{
tthread::lock_guard<tthread::mutex> guard(mMutex);
plateRegions.push_back(plate);
}
void addResult(AlprResult recognitionResult)
{
tthread::lock_guard<tthread::mutex> guard(mMutex);
recognitionResults.push_back(recognitionResult);
}
std::vector<AlprResult> getRecognitionResults()
{
return recognitionResults;
}
StateIdentifier* stateIdentifier;
OCR* ocr;
Config* config;
uint topN;
bool detectRegion;
std::string defaultRegion;
tthread::mutex ocrMutex;
private:
tthread::mutex mMutex;
cv::Mat* frame;
std::vector<PlateRegion> plateRegions;
std::vector<AlprResult> recognitionResults;
};
#endif // OPENALPR_ALPRIMPL_H

2
src/openalpr/config.cpp
View File

@@ -127,8 +127,6 @@ void Config::loadValues(string country)
runtimeBaseDir = getString("common", "runtime_dir", "/usr/share/openalpr/runtime_data");
multithreading_cores = getInt("common", "multithreading_cores", 1);
detection_iteration_increase = getFloat("common", "detection_iteration_increase", 1.1);
detectionStrictness = getInt("common", "detection_strictness", 3);
maxPlateWidthPercent = getFloat("common", "max_plate_width_percent", 100);

2
src/openalpr/config.h
View File

@@ -45,8 +45,6 @@ class Config
std::string country;
int multithreading_cores;
float detection_iteration_increase;
int detectionStrictness;
float maxPlateWidthPercent;