cvt.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 <opencv2/imgproc/imgproc.hpp>
#include <openbr_plugin.h>
#include "core/opencvutils.h"
using namespace cv;
namespace br
{
/*!
* \ingroup transforms
* \brief Colorspace conversion
* \author Josh Klontz \cite jklontz
*/
class CvtTransform : public UntrainableTransform
{
Q_OBJECT
Q_ENUMS(Code)
Q_PROPERTY(Code code READ get_code WRITE set_code RESET reset_code STORED false)
Q_PROPERTY(int channel READ get_channel WRITE set_channel RESET reset_channel STORED false)
public:
/*!< */
enum Code { Gray = CV_BGR2GRAY,
RGBGray = CV_RGB2GRAY,
HLS = CV_BGR2HLS,
HSV = CV_BGR2HSV,
Lab = CV_BGR2Lab,
Luv = CV_BGR2Luv,
RGB = CV_BGR2RGB,
XYZ = CV_BGR2XYZ,
YCrCb = CV_BGR2YCrCb };
private:
BR_PROPERTY(Code, code, Gray)
BR_PROPERTY(int, channel, -1)
void project(const Template &src, Template &dst) const
{
if (src.m().channels() > 1) cvtColor(src, dst, code);
else dst = src;
if (channel != -1) {
std::vector<Mat> mv;
split(dst, mv);
dst = mv[channel % (int)mv.size()];
}
}
};
BR_REGISTER(Transform, CvtTransform)
/*!
* \ingroup transforms
* \brief Convert to floating point format.
* \author Josh Klontz \cite jklontz
*/
class CvtFloatTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
src.m().convertTo(dst, CV_32F);
}
};
BR_REGISTER(Transform, CvtFloatTransform)
/*!
* \ingroup transforms
* \brief Convert to uchar format
* \author Josh Klontz \cite jklontz
*/
class CvtUCharTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
OpenCVUtils::cvtUChar(src, dst);
}
};
BR_REGISTER(Transform, CvtUCharTransform)
/*!
* \ingroup transforms
* \brief Split a multi-channel matrix into several single-channel matrices.
* \author Josh Klontz \cite jklontz
*/
class SplitChannelsTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
std::vector<Mat> mv;
split(src, mv);
foreach (const Mat &m, mv)
dst += m;
}
};
BR_REGISTER(Transform, SplitChannelsTransform)
/*!
* \ingroup transforms
* \brief Enforce the matrix has a certain number of channels by adding or removing channels.
* \author Josh Klontz \cite jklontz
*/
class EnsureChannelsTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(int n READ get_n WRITE set_n RESET reset_n STORED false)
BR_PROPERTY(int, n, 1)
void project(const Template &src, Template &dst) const
{
if (src.m().channels() == n) {
dst = src;
} else {
std::vector<Mat> mv;
split(src, mv);
// Add extra channels
while ((int)mv.size() < n) {
for (int i=0; i<src.m().channels(); i++) {
mv.push_back(mv[i]);
if ((int)mv.size() == n)
break;
}
}
// Remove extra channels
while ((int)mv.size() > n)
mv.pop_back();
merge(mv, dst);
}
}
};
BR_REGISTER(Transform, EnsureChannelsTransform)
/*!
* \ingroup transforms
* \brief Normalized RG color space.
* \author Josh Klontz \cite jklontz
*/
class RGTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
if (src.m().type() != CV_8UC3)
qFatal("Expected CV_8UC3 images.");
const Mat &m = src.m();
Mat R(m.size(), CV_8UC1); // R / (R+G+B)
Mat G(m.size(), CV_8UC1); // G / (R+G+B)
for (int i=0; i<m.rows; i++)
for (int j=0; j<m.cols; j++) {
Vec3b v = m.at<Vec3b>(i,j);
const int b = v[0];
const int g = v[1];
const int r = v[2];
const int sum = b + g + r;
if (sum > 0) {
R.at<uchar>(i, j) = saturate_cast<uchar>(255.0*r/(r+g+b));
G.at<uchar>(i, j) = saturate_cast<uchar>(255.0*g/(r+g+b));
} else {
R.at<uchar>(i, j) = 0;
G.at<uchar>(i, j) = 0;
}
}
dst.append(R);
dst.append(G);
}
};
BR_REGISTER(Transform, RGTransform)
/*!
* \ingroup transforms
* \brief dst = a*src+b
* \author Josh Klontz \cite jklontz
*/
class MAddTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(double a READ get_a WRITE set_a RESET reset_a STORED false)
Q_PROPERTY(double b READ get_b WRITE set_b RESET reset_b STORED false)
BR_PROPERTY(double, a, 1)
BR_PROPERTY(double, b, 0)
void project(const Template &src, Template &dst) const
{
src.m().convertTo(dst.m(), src.m().depth(), a, b);
}
};
BR_REGISTER(Transform, MAddTransform)
} // namespace br
#include "cvt.moc"