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fixed build warnings from VS; hopefully, fixes Android build too

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This commit is contained in:
Vadim Pisarevsky 2012-12-15 23:14:50 +04:00
parent 2a42960ff2
commit 1eae455acb
2 changed files with 57 additions and 78 deletions
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17
modules/imgproc/include/opencv2/imgproc/imgproc.hpp
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@ -1104,12 +1104,17 @@ CV_EXPORTS_W void matchTemplate( InputArray image, InputArray templ,
enum { CC_STAT_LEFT=0, CC_STAT_TOP=1, CC_STAT_WIDTH=2, CC_STAT_HEIGHT=3, CC_STAT_AREA=4, CC_STAT_MAX = 5};
//! computes the connected components labeled image of boolean image I with 4 or 8 way connectivity - returns N, the total
//number of labels [0, N-1] where 0 represents the background label. L's value type determines the label type, an important
//consideration based on the total number of labels or alternatively the total number of pixels.
CV_EXPORTS_W int connectedComponents(InputArray image, OutputArray labels, int connectivity = 8, int ltype=CV_32S);
CV_EXPORTS_W int connectedComponentsWithStats(InputArray image, OutputArray labels, OutputArray stats, OutputArray centroids, int connectivity = 8, int ltype=CV_32S);
// computes the connected components labeled image of boolean image I
// with 4 or 8 way connectivity - returns N, the total
// number of labels [0, N-1] where 0 represents the background label.
// L's value type determines the label type, an important
// consideration based on the total number of labels or
// alternatively the total number of pixels.
CV_EXPORTS_W int connectedComponents(InputArray image, OutputArray labels,
int connectivity = 8, int ltype=CV_32S);
CV_EXPORTS_W int connectedComponentsWithStats(InputArray image, OutputArray labels,
OutputArray stats, OutputArray centroids,
int connectivity = 8, int ltype=CV_32S);
//! mode of the contour retrieval algorithm
enum

118
modules/imgproc/src/connectedcomponents.cpp
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@ -43,22 +43,16 @@
#include "precomp.hpp"
#include <vector>
#if defined _MSC_VER
#pragma warning(disable: 4127)
#endif
namespace cv{
namespace connectedcomponents{
template<typename LabelT>
struct NoOp{
NoOp(){
}
void init(const LabelT labels){
(void) labels;
void init(int /*labels*/){
}
inline
void operator()(int r, int c, LabelT l){
void operator()(int r, int c, int l){
(void) r;
(void) c;
(void) l;
@ -69,38 +63,35 @@ namespace cv{
uint64 x, y;
Point2ui64(uint64 _x, uint64 _y):x(_x), y(_y){}
};
template<typename LabelT>
struct CCStatsOp{
OutputArray _mstatsv;
const _OutputArray* _mstatsv;
cv::Mat statsv;
OutputArray _mcentroidsv;
const _OutputArray* _mcentroidsv;
cv::Mat centroidsv;
std::vector<Point2ui64> integrals;
CCStatsOp(OutputArray _statsv, OutputArray _centroidsv): _mstatsv(_statsv), _mcentroidsv(_centroidsv){
CCStatsOp(OutputArray _statsv, OutputArray _centroidsv): _mstatsv(&_statsv), _mcentroidsv(&_centroidsv){
}
inline
void init(const LabelT nlabels){
_mstatsv.create(cv::Size(nlabels, CC_STAT_MAX), cv::DataType<int>::type);
statsv = _mstatsv.getMat();
_mcentroidsv.create(cv::Size(nlabels, 2), cv::DataType<double>::type);
centroidsv = _mcentroidsv.getMat();
void init(int nlabels){
_mstatsv->create(cv::Size(nlabels, CC_STAT_MAX), cv::DataType<int>::type);
statsv = _mstatsv->getMat();
_mcentroidsv->create(cv::Size(nlabels, 2), cv::DataType<double>::type);
centroidsv = _mcentroidsv->getMat();
for(int l = 0; l < (int) nlabels; ++l){
unsigned int *row = (unsigned int *) &statsv.at<int>(l, 0);
row[CC_STAT_LEFT] = std::numeric_limits<LabelT>::max();
row[CC_STAT_TOP] = std::numeric_limits<LabelT>::max();
row[CC_STAT_WIDTH] = std::numeric_limits<LabelT>::min();
row[CC_STAT_HEIGHT] = std::numeric_limits<LabelT>::min();
//row[CC_STAT_CX] = 0;
//row[CC_STAT_CY] = 0;
int *row = (int *) &statsv.at<int>(l, 0);
row[CC_STAT_LEFT] = INT_MAX;
row[CC_STAT_TOP] = INT_MAX;
row[CC_STAT_WIDTH] = INT_MIN;
row[CC_STAT_HEIGHT] = INT_MIN;
row[CC_STAT_AREA] = 0;
}
integrals.resize(nlabels, Point2ui64(0, 0));
}
void operator()(int r, int c, LabelT l){
void operator()(int r, int c, int l){
int *row = &statsv.at<int>(l, 0);
unsigned int *urow = (unsigned int *) row;
if(c > row[CC_STAT_WIDTH]){
row[CC_STAT_WIDTH] = c;
}else{
@ -115,14 +106,14 @@ namespace cv{
row[CC_STAT_TOP] = r;
}
}
urow[CC_STAT_AREA]++;
row[CC_STAT_AREA]++;
Point2ui64 &integral = integrals[l];
integral.x += c;
integral.y += r;
}
void finish(){
for(int l = 0; l < statsv.rows; ++l){
unsigned int *row = (unsigned int *) &statsv.at<int>(l, 0);
int *row = &statsv.at<int>(l, 0);
row[CC_STAT_LEFT] = std::min(row[CC_STAT_LEFT], row[CC_STAT_WIDTH]);
row[CC_STAT_WIDTH] = row[CC_STAT_WIDTH] - row[CC_STAT_LEFT] + 1;
row[CC_STAT_TOP] = std::min(row[CC_STAT_TOP], row[CC_STAT_HEIGHT]);
@ -130,8 +121,9 @@ namespace cv{
Point2ui64 &integral = integrals[l];
double *centroid = &centroidsv.at<double>(l, 0);
centroid[0] = double(integral.x) / row[CC_STAT_AREA];
centroid[1] = double(integral.y) / row[CC_STAT_AREA];
double area = ((unsigned*)row)[CC_STAT_AREA];
centroid[0] = double(integral.x) / area;
centroid[1] = double(integral.y) / area;
}
}
};
@ -207,11 +199,12 @@ namespace cv{
const int G4[2][2] = {{1, 0}, {0, -1}};//b, d neighborhoods
//reference for 8-way: {{-1, -1}, {-1, 0}, {-1, 1}, {0, -1}};//a, b, c, d neighborhoods
const int G8[4][2] = {{1, -1}, {1, 0}, {1, 1}, {0, -1}};//a, b, c, d neighborhoods
template<typename LabelT, typename PixelT, typename StatsOp = NoOp<LabelT>, int connectivity = 8>
template<typename LabelT, typename PixelT, typename StatsOp = NoOp >
struct LabelingImpl{
LabelT operator()(const cv::Mat &I, cv::Mat &L, StatsOp &sop){
LabelT operator()(const cv::Mat &I, cv::Mat &L, int connectivity, StatsOp &sop){
CV_Assert(L.rows == I.rows);
CV_Assert(L.cols == I.cols);
CV_Assert(connectivity == 8 || connectivity == 4);
const int rows = L.rows;
const int cols = L.cols;
size_t Plength = (size_t(rows + 3 - 1)/3) * (size_t(cols + 3 - 1)/3);
@ -295,7 +288,6 @@ namespace cv{
}
}else{
//B & D only
assert(connectivity == 4);
const int b = 0;
const int d = 1;
const bool T_b_r = (r_i - G4[b][0]) >= 0;
@ -368,70 +360,52 @@ int connectedComponents_sub1(const cv::Mat &I, cv::Mat &L, int connectivity, Sta
using connectedcomponents::LabelingImpl;
//warn if L's depth is not sufficient?
CV_Assert(iDepth == CV_8U || iDepth == CV_8S);
if(lDepth == CV_8U){
if(iDepth == CV_8U || iDepth == CV_8S){
if(connectivity == 4){
return (int) LabelingImpl<uchar, uchar, StatsOp, 4>()(I, L, sop);
}else{
return (int) LabelingImpl<uchar, uchar, StatsOp, 8>()(I, L, sop);
}
}else{
CV_Assert(false);
}
return (int) LabelingImpl<uchar, uchar, StatsOp>()(I, L, connectivity, sop);
}else if(lDepth == CV_16U){
if(iDepth == CV_8U || iDepth == CV_8S){
if(connectivity == 4){
return (int) LabelingImpl<ushort, uchar, StatsOp, 4>()(I, L, sop);
}else{
return (int) LabelingImpl<ushort, uchar, StatsOp, 8>()(I, L, sop);
}
}else{
CV_Assert(false);
}
return (int) LabelingImpl<ushort, uchar, StatsOp>()(I, L, connectivity, sop);
}else if(lDepth == CV_32S){
//note that signed types don't really make sense here and not being able to use unsigned matters for scientific projects
//OpenCV: how should we proceed? .at<T> typechecks in debug mode
if(iDepth == CV_8U || iDepth == CV_8S){
if(connectivity == 4){
return (int) LabelingImpl<int, uchar, StatsOp, 4>()(I, L, sop);
}else{
return (int) LabelingImpl<int, uchar, StatsOp, 8>()(I, L, sop);
}
}else{
CV_Assert(false);
}
return (int) LabelingImpl<int, uchar, StatsOp>()(I, L, connectivity, sop);
}
CV_Error(CV_StsUnsupportedFormat, "unsupported label/image type");
return -1;
}
int connectedComponents(InputArray _I, OutputArray _L, int connectivity, int ltype){
}
int cv::connectedComponents(InputArray _I, OutputArray _L, int connectivity, int ltype){
const cv::Mat I = _I.getMat();
_L.create(I.size(), CV_MAT_TYPE(ltype));
_L.create(I.size(), CV_MAT_DEPTH(ltype));
cv::Mat L = _L.getMat();
connectedcomponents::NoOp sop;
if(ltype == CV_16U){
connectedcomponents::NoOp<ushort> sop; return connectedComponents_sub1(I, L, connectivity, sop);
return connectedComponents_sub1(I, L, connectivity, sop);
}else if(ltype == CV_32S){
connectedcomponents::NoOp<unsigned> sop; return connectedComponents_sub1(I, L, connectivity, sop);
return connectedComponents_sub1(I, L, connectivity, sop);
}else{
CV_Assert(false);
CV_Error(CV_StsUnsupportedFormat, "the type of labels must be 16u or 32s");
return 0;
}
}
int connectedComponentsWithStats(InputArray _I, OutputArray _L, OutputArray statsv, OutputArray centroids, int connectivity, int ltype){
int cv::connectedComponentsWithStats(InputArray _I, OutputArray _L, OutputArray statsv,
OutputArray centroids, int connectivity, int ltype)
{
const cv::Mat I = _I.getMat();
_L.create(I.size(), CV_MAT_TYPE(ltype));
_L.create(I.size(), CV_MAT_DEPTH(ltype));
cv::Mat L = _L.getMat();
connectedcomponents::CCStatsOp sop(statsv, centroids);
if(ltype == CV_16U){
connectedcomponents::CCStatsOp<ushort> sop(statsv, centroids); return connectedComponents_sub1(I, L, connectivity, sop);
return connectedComponents_sub1(I, L, connectivity, sop);
}else if(ltype == CV_32S){
connectedcomponents::CCStatsOp<unsigned> sop(statsv, centroids); return connectedComponents_sub1(I, L, connectivity, sop);
return connectedComponents_sub1(I, L, connectivity, sop);
}else{
CV_Assert(false);
CV_Error(CV_StsUnsupportedFormat, "the type of labels must be 16u or 32s");
return 0;
}
}
}