cudalbp.cpp
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* Copyright 2012 The MITRE Corporation *
* *
* Licensed under the Apache License, Version 2.0 (the "License"); *
* you may not use this file except in compliance with the License. *
* You may obtain a copy of the License at *
* *
* http://www.apache.org/licenses/LICENSE-2.0 *
* *
* Unless required by applicable law or agreed to in writing, software *
* distributed under the License is distributed on an "AS IS" BASIS, *
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. *
* See the License for the specific language governing permissions and *
* limitations under the License. *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
#include <iostream>
//#include <thread>
//#include <mutex>
#include <sys/types.h>
#include <unistd.h>
#include <pthread.h>
#include <opencv2/opencv.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/highgui/highgui_c.h>
#include <limits>
#include <openbr/plugins/openbr_internal.h>
#include "cudalbp.hpp"
#include "MatManager.hpp"
using namespace cv;
string type2str(int type) {
string r;
uchar depth = type & CV_MAT_DEPTH_MASK;
uchar chans = 1 + (type >> CV_CN_SHIFT);
switch ( depth ) {
case CV_8U: r = "8U"; break;
case CV_8S: r = "8S"; break;
case CV_16U: r = "16U"; break;
case CV_16S: r = "16S"; break;
case CV_32S: r = "32S"; break;
case CV_32F: r = "32F"; break;
case CV_64F: r = "64F"; break;
default: r = "User"; break;
}
r += "C";
r += (chans+'0');
return r;
}
int ctr = 0;
pthread_mutex_t* uploadMutex = NULL;
namespace br
{
/*!
* \ingroup transforms
* \brief Convert the image into a feature vector using Local Binary Patterns
* \br_paper Ahonen, T.; Hadid, A.; Pietikainen, M.;
* "Face Description with Local Binary Patterns: Application to Face Recognition"
* Pattern Analysis and Machine Intelligence, IEEE Transactions, vol.28, no.12, pp.2037-2041, Dec. 2006
* \author Josh Klontz \cite jklontz
*/
class CUDALBPTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(int radius READ get_radius WRITE set_radius RESET reset_radius STORED false)
Q_PROPERTY(int maxTransitions READ get_maxTransitions WRITE set_maxTransitions RESET reset_maxTransitions STORED false)
Q_PROPERTY(bool rotationInvariant READ get_rotationInvariant WRITE set_rotationInvariant RESET reset_rotationInvariant STORED false)
BR_PROPERTY(int, radius, 1)
BR_PROPERTY(int, maxTransitions, 8)
BR_PROPERTY(bool, rotationInvariant, false)
private:
uchar lut[256];
uint8_t* lutGpuPtr;
uchar null;
cuda::MatManager* matManager;
public:
/* Returns the number of 0->1 or 1->0 transitions in i */
static int numTransitions(int i)
{
int transitions = 0;
int curParity = i%2;
for (int j=1; j<=8; j++) {
int parity = (i>>(j%8)) % 2;
if (parity != curParity) transitions++;
curParity = parity;
}
return transitions;
}
static int rotationInvariantEquivalent(int i)
{
int min = std::numeric_limits<int>::max();
for (int j=0; j<8; j++) {
bool parity = i % 2;
i = i >> 1;
if (parity) i+=128;
min = std::min(min, i);
}
return min;
}
void init()
{
bool set[256];
uchar uid = 0;
for (int i=0; i<256; i++) {
if (numTransitions(i) <= maxTransitions) {
int id;
if (rotationInvariant) {
int rie = rotationInvariantEquivalent(i);
if (i == rie) id = uid++;
else id = lut[rie];
} else id = uid++;
lut[i] = id;
set[i] = true;
} else {
set[i] = false;
}
}
null = uid;
for (int i=0; i<256; i++)
if (!set[i])
lut[i] = null; // Set to null id
// init the mat manager for managing 10 mats
matManager = new cuda::MatManager(10);
// copy lut over to the GPU
br::cuda::cudalbp_init_wrapper(lut, &lutGpuPtr);
std::cout << "Initialized CUDALBP" << std::endl;
}
void project(const Template &src, Template &dst) const
{
Mat& m = (Mat&)src.m();
cuda::MatManager::matindex a;
cuda::MatManager::matindex b;
a = matManager->reserve(m);
matManager->upload(a, m);
// reserve the second mat and check the dimensiosn
b = matManager->reserve(m);
uint8_t* srcMatPtr = matManager->get_mat_pointer_from_index(a);
uint8_t* dstMatPtr = matManager->get_mat_pointer_from_index(b);
br::cuda::cudalbp_wrapper(srcMatPtr, dstMatPtr, lutGpuPtr, m.cols, m.rows, m.step1());
matManager->download(b, dst);
// release both the mats
matManager->release(a);
matManager->release(b);
}
};
BR_REGISTER(Transform, CUDALBPTransform)
} // namespace br
#include "cuda/cudalbp.moc"