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alibaba--mnn/tools/cv/source/imgproc/structural.cpp
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wehub-resource-sync 5b57521aa1 chore: import upstream snapshot with attribution
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//
// structural.cpp
// MNN
//
// Created by MNN on 2021/08/26.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include <MNN/ImageProcess.hpp>
#include "cv/imgproc/structural.hpp"
#include <MNN/expr/NeuralNetWorkOp.hpp>
#include <cmath>
#include <set>
#include <limits>
namespace MNN {
namespace CV {
/*Copy From OpenCV*/
#define CV_CMP(a,b) (((a) > (b)) - ((a) < (b)))
#define CV_SIGN(a) CV_CMP((a),0)
struct CvPoint {
int x;
int y;
template<typename _Tp> CvPoint(const std::initializer_list<_Tp> list)
{
MNN_ASSERT(list.size() == 0 || list.size() == 2);
x = y = 0;
if (list.size() == 2)
{
x = list.begin()[0]; y = list.begin()[1];
}
};
CvPoint(int _x = 0, int _y = 0): x(_x), y(_y) {}
};
static const CvPoint icvCodeDeltas[8] =
{ CvPoint(1, 0), CvPoint(1, -1), CvPoint(0, -1), CvPoint(-1, -1), CvPoint(-1, 0), CvPoint(-1, 1), CvPoint(0, 1), CvPoint(1, 1) };
/* initializes 8-element array for fast access to 3x3 neighborhood of a pixel */
#define CV_INIT_3X3_DELTAS( deltas, step, nch ) \
((deltas)[0] = (nch), (deltas)[1] = -(step) + (nch), \
(deltas)[2] = -(step), (deltas)[3] = -(step) - (nch), \
(deltas)[4] = -(nch), (deltas)[5] = (step) - (nch), \
(deltas)[6] = (step), (deltas)[7] = (step) + (nch))
struct _CvContourScanner {
public:
_CvContourScanner() {}
schar *img0; /* image origin */
schar *img; /* current image row */
int img_step; /* image step */
int img_w;
int img_h;
CvPoint offset; /* ROI offset: coordinates, added to each contour point */
CvPoint pt; /* current scanner position */
CvPoint lnbd; /* position of the last met contour */
int nbd; /* current mark val */
int mode; /* contour scanning mode:
0 - external only
1 - all the contours w/o any hierarchy
2 - connected components (i.e. two-level structure -
external contours and holes),
3 - full hierarchy;
4 - connected components of a multi-level image
*/
int method;
};
typedef _CvContourScanner* CvContourScanner;
static CvContourScanner cvStartFindContours( VARP _img, CvPoint offset, int mode, int method )
{
int img_w, img_h, img_c;
getVARPSize(_img, &img_h, &img_w, &img_c);
int step = img_w;
MNN_ASSERT(img_c == 1);
uchar* img = (uchar*)(_img->readMap<uchar>());
for (int i=0; i<img_h*img_w; ++i)
{
if (img[i] > 0)
{
img[i] = 1;
}
}
CvContourScanner scanner = new _CvContourScanner;
memset( scanner, 0, sizeof(*scanner) );
scanner->img0 = (schar *) img;
scanner->img = (schar *) (img + step);
scanner->img_step = step;
scanner->img_h = img_h - 1;
scanner->img_w = img_w -1;
scanner->mode = mode;
scanner->method = method;
scanner->offset = offset;
scanner->pt.x = scanner->pt.y = 1;
scanner->lnbd.x = 0;
scanner->lnbd.y = 1;
scanner->nbd = 2;
memset( img, 0, img_w*sizeof(uchar) );
memset( img + step * (img_h - 1), 0, img_w*sizeof(uchar) );
img += step;
for( int y = 1; y < img_h - 1; y++, img += step )
{
img[0] = img[img_w-1] = (schar)0;
}
return scanner;
}
static void icvFetchContour(schar* ptr, int step, CvPoint pt, bool is_hole, int method, std::vector<CvPoint>& points)
{
const char nbd = 2;
int deltas[16];
int prev_s = -1, s, s_end;
/* initialize local state */
CV_INIT_3X3_DELTAS( deltas, step, 1);
::memcpy( deltas + 8, deltas, 8 * sizeof( deltas[0] ));
schar *i0 = (ptr), *i1, *i3, *i4 = 0;
s_end = s = is_hole ? 0 : 4;
do
{
s = (s - 1) & 7;
i1 = i0 + deltas[s];
if( *i1 != 0 )
break;
}
while( s != s_end );
if( s == s_end ) /* single pixel domain */
{
*i0 = (schar) (nbd | -128);
if( method >= 0 )
{
points.push_back(pt);
}
}
else
{
i3 = i0;
prev_s = s ^ 4;
/* follow border */
for( ;; )
{
s_end = s;
for( ;; )
{
i4 = i3 + deltas[++s];
if( *i4 != 0 )
break;
}
s &= 7;
/* check "right" bound */
if( (unsigned) (s - 1) < (unsigned) s_end )
{
*i3 = (schar) (nbd | -128);
}
else if( *i3 == 1 )
{
*i3 = nbd;
}
{
if( s != prev_s || method == 1 )
{
points.push_back(pt);
prev_s = s;
}
pt.x += icvCodeDeltas[s].x;
pt.y += icvCodeDeltas[s].y;
}
if( i4 == i0 && i3 == i1 )
break;
i3 = i4;
s = (s + 4) & 7;
} /* end of border following loop */
}
}
static bool cvFindNextContour(CvContourScanner scanner, std::vector<CvPoint>& points)
{
/* initialize local state */
schar* img0 = scanner->img0;
schar* img = scanner->img;
int step = scanner->img_step;
int x = scanner->pt.x;
int y = scanner->pt.y;
int width = scanner->img_w;
int height = scanner->img_h;
int mode = scanner->mode;
int method = scanner->method;
CvPoint lnbd = scanner->lnbd;
int nbd = scanner->nbd;
int prev = img[x - 1];
int new_mask = -2;
for( ; y < height; y++, img += step )
{
int* img0_i = 0;
int* img_i = 0;
int p = 0;
for( ; x < width; x++ )
{
if( img_i )
{
for( ; x < width && ((p = img_i[x]) == prev || (p & ~new_mask) == (prev & ~new_mask)); x++ )
prev = p;
}
else
{
for( ; x < width && (p = img[x]) == prev; x++ )
;
}
if( x >= width )
break;
{
int is_hole = 0;
CvPoint origin;
/* if not external contour */
if( (!img_i && !(prev == 0 && p == 1)) ||
(img_i && !(((prev & new_mask) != 0 || prev == 0) && (p & new_mask) == 0)) )
{
/* check hole */
if( (!img_i && (p != 0 || prev < 1)) ||
(img_i && ((prev & new_mask) != 0 || (p & new_mask) != 0)))
goto resume_scan;
if( prev & new_mask )
{
lnbd.x = x - 1;
}
is_hole = 1;
}
if( mode == 0 && (is_hole || img0[lnbd.y * static_cast<size_t>(step) + lnbd.x] > 0) )
goto resume_scan;
origin.y = y;
origin.x = x - is_hole;
lnbd.x = x - is_hole;
/* initialize header */
CvPoint searchStart(origin.x + scanner->offset.x, origin.y + scanner->offset.y);
icvFetchContour( img + x - is_hole, step, searchStart, is_hole, method, points);
p = img[x];
prev = p;
/* update lnbd */
if( prev & -2 )
{
lnbd.x = x;
}
if (!points.empty()) {
return true;
}
} /* end of prev != p */
resume_scan:
{
prev = p;
/* update lnbd */
if( prev & -2 )
{
lnbd.x = x;
}
}
} /* end of loop on x */
lnbd.x = 0;
lnbd.y = y + 1;
x = 1;
prev = 0;
} /* end of loop on y */
return false;
}
template<typename _Tp, typename _DotTp>
static int Sklansky_( Point_<_Tp>** array, int start, int end, int* stack, int nsign, int sign2 )
{
int incr = end > start ? 1 : -1;
// prepare first triangle
int pprev = start, pcur = pprev + incr, pnext = pcur + incr;
int stacksize = 3;
if( start == end ||
(array[start]->x == array[end]->x &&
array[start]->y == array[end]->y) )
{
stack[0] = start;
return 1;
}
stack[0] = pprev;
stack[1] = pcur;
stack[2] = pnext;
end += incr; // make end = afterend
while( pnext != end )
{
// check the angle p1,p2,p3
_Tp cury = array[pcur]->y;
_Tp nexty = array[pnext]->y;
_Tp by = nexty - cury;
if( CV_SIGN( by ) != nsign )
{
_Tp ax = array[pcur]->x - array[pprev]->x;
_Tp bx = array[pnext]->x - array[pcur]->x;
_Tp ay = cury - array[pprev]->y;
_DotTp convexity = (_DotTp)ay*bx - (_DotTp)ax*by; // if >0 then convex angle
if( CV_SIGN( convexity ) == sign2 && (ax != 0 || ay != 0) )
{
pprev = pcur;
pcur = pnext;
pnext += incr;
stack[stacksize] = pnext;
stacksize++;
}
else
{
if( pprev == start )
{
pcur = pnext;
stack[1] = pcur;
pnext += incr;
stack[2] = pnext;
}
else
{
stack[stacksize-2] = pnext;
pcur = pprev;
pprev = stack[stacksize-4];
stacksize--;
}
}
}
else
{
pnext += incr;
stack[stacksize-1] = pnext;
}
}
return --stacksize;
}
enum { CALIPERS_MAXHEIGHT=0, CALIPERS_MINAREARECT=1, CALIPERS_MAXDIST=2 };
static void rotatingCalipers( const Point2f* points, int n, int mode, float* out )
{
#ifdef _MSC_VER
float minarea = FLT_MAX;
#else
float minarea = __FLT_MAX__;
#endif
float max_dist = 0;
char buffer[32] = {};
int i, k;
std::vector<float> abuf(n*3);
float* inv_vect_length = abuf.data();
Point2f* vect = (Point2f*)(inv_vect_length + n);
int left = 0, bottom = 0, right = 0, top = 0;
int seq[4] = { -1, -1, -1, -1 };
/* rotating calipers sides will always have coordinates
(a,b) (-b,a) (-a,-b) (b, -a)
*/
/* this is a first base vector (a,b) initialized by (1,0) */
float orientation = 0;
float base_a;
float base_b = 0;
float left_x, right_x, top_y, bottom_y;
Point2f pt0 = points[0];
left_x = right_x = pt0.x;
top_y = bottom_y = pt0.y;
for( i = 0; i < n; i++ )
{
double dx, dy;
if( pt0.x < left_x )
left_x = pt0.x, left = i;
if( pt0.x > right_x )
right_x = pt0.x, right = i;
if( pt0.y > top_y )
top_y = pt0.y, top = i;
if( pt0.y < bottom_y )
bottom_y = pt0.y, bottom = i;
Point2f pt = points[(i+1) & (i+1 < n ? -1 : 0)];
dx = pt.x - pt0.x;
dy = pt.y - pt0.y;
vect[i].x = (float)dx;
vect[i].y = (float)dy;
inv_vect_length[i] = (float)(1./std::sqrt(dx*dx + dy*dy));
pt0 = pt;
}
// find convex hull orientation
{
double ax = vect[n-1].x;
double ay = vect[n-1].y;
for( i = 0; i < n; i++ )
{
double bx = vect[i].x;
double by = vect[i].y;
double convexity = ax * by - ay * bx;
if( convexity != 0 )
{
orientation = (convexity > 0) ? 1.f : (-1.f);
break;
}
ax = bx;
ay = by;
}
MNN_ASSERT( orientation != 0 );
}
base_a = orientation;
/*****************************************************************************************/
/* init calipers position */
seq[0] = bottom;
seq[1] = right;
seq[2] = top;
seq[3] = left;
/*****************************************************************************************/
/* Main loop - evaluate angles and rotate calipers */
/* all of edges will be checked while rotating calipers by 90 degrees */
for( k = 0; k < n; k++ )
{
/* sinus of minimal angle */
/*float sinus;*/
/* compute cosine of angle between calipers side and polygon edge */
/* dp - dot product */
float dp[4] = {
+base_a * vect[seq[0]].x + base_b * vect[seq[0]].y,
-base_b * vect[seq[1]].x + base_a * vect[seq[1]].y,
-base_a * vect[seq[2]].x - base_b * vect[seq[2]].y,
+base_b * vect[seq[3]].x - base_a * vect[seq[3]].y,
};
float maxcos = dp[0] * inv_vect_length[seq[0]];
/* number of calipers edges, that has minimal angle with edge */
int main_element = 0;
/* choose minimal angle */
for ( i = 1; i < 4; ++i )
{
float cosalpha = dp[i] * inv_vect_length[seq[i]];
if (cosalpha > maxcos)
{
main_element = i;
maxcos = cosalpha;
}
}
/*rotate calipers*/
{
//get next base
int pindex = seq[main_element];
float lead_x = vect[pindex].x*inv_vect_length[pindex];
float lead_y = vect[pindex].y*inv_vect_length[pindex];
switch( main_element )
{
case 0:
base_a = lead_x;
base_b = lead_y;
break;
case 1:
base_a = lead_y;
base_b = -lead_x;
break;
case 2:
base_a = -lead_x;
base_b = -lead_y;
break;
case 3:
base_a = -lead_y;
base_b = lead_x;
break;
default:
MNN_ERROR("main_element should be 0, 1, 2 or 3");
}
}
/* change base point of main edge */
seq[main_element] += 1;
seq[main_element] = (seq[main_element] == n) ? 0 : seq[main_element];
switch (mode)
{
case CALIPERS_MAXHEIGHT:
{
/* now main element lies on edge aligned to calipers side */
/* find opposite element i.e. transform */
/* 0->2, 1->3, 2->0, 3->1 */
int opposite_el = main_element ^ 2;
float dx = points[seq[opposite_el]].x - points[seq[main_element]].x;
float dy = points[seq[opposite_el]].y - points[seq[main_element]].y;
float dist;
if( main_element & 1 )
dist = (float)fabs(dx * base_a + dy * base_b);
else
dist = (float)fabs(dx * (-base_b) + dy * base_a);
if( dist > max_dist )
max_dist = dist;
}
break;
case CALIPERS_MINAREARECT:
/* find area of rectangle */
{
float height;
float area;
/* find vector left-right */
float dx = points[seq[1]].x - points[seq[3]].x;
float dy = points[seq[1]].y - points[seq[3]].y;
/* dotproduct */
float width = dx * base_a + dy * base_b;
/* find vector left-right */
dx = points[seq[2]].x - points[seq[0]].x;
dy = points[seq[2]].y - points[seq[0]].y;
/* dotproduct */
height = -dx * base_b + dy * base_a;
area = width * height;
if( area <= minarea )
{
float *buf = (float *) buffer;
minarea = area;
/* leftist point */
((int *) buf)[0] = seq[3];
buf[1] = base_a;
buf[2] = width;
buf[3] = base_b;
buf[4] = height;
/* bottom point */
((int *) buf)[5] = seq[0];
buf[6] = area;
}
}
break;
} /*switch */
} /* for */
switch (mode)
{
case CALIPERS_MINAREARECT:
{
float *buf = (float *) buffer;
float A1 = buf[1];
float B1 = buf[3];
float A2 = -buf[3];
float B2 = buf[1];
float C1 = A1 * points[((int *) buf)[0]].x + points[((int *) buf)[0]].y * B1;
float C2 = A2 * points[((int *) buf)[5]].x + points[((int *) buf)[5]].y * B2;
float idet = 1.f / (A1 * B2 - A2 * B1);
float px = (C1 * B2 - C2 * B1) * idet;
float py = (A1 * C2 - A2 * C1) * idet;
out[0] = px;
out[1] = py;
out[2] = A1 * buf[2];
out[3] = B1 * buf[2];
out[4] = A2 * buf[4];
out[5] = B2 * buf[4];
}
break;
case CALIPERS_MAXHEIGHT:
{
out[0] = max_dist;
}
break;
}
}
enum ConnectedComponentsTypes {
CC_STAT_LEFT = 0, //!< The leftmost (x) coordinate which is the inclusive start of the bounding
//!< box in the horizontal direction.
CC_STAT_TOP = 1, //!< The topmost (y) coordinate which is the inclusive start of the bounding
//!< box in the vertical direction.
CC_STAT_WIDTH = 2, //!< The horizontal size of the bounding box
CC_STAT_HEIGHT = 3, //!< The vertical size of the bounding box
CC_STAT_AREA = 4, //!< The total area (in pixels) of the connected component
CC_STAT_MAX = 5 //!< Max enumeration value. Used internally only for memory allocation
};
struct Point2ui64{
uint64_t x, y;
Point2ui64(uint64_t _x, uint64_t _y) :x(_x), y(_y){}
};
struct CCStatsOp{
VARP& statsv;
VARP& centroidsv;
std::vector<Point2ui64> integrals;
int _nextLoc;
int _nlabels;
CCStatsOp(VARP& _statsv, VARP& _centroidsv) : statsv(_statsv), centroidsv(_centroidsv), _nextLoc(0){}
inline
void init(int nlabels){
_nlabels = nlabels;
std::vector<int> statsv_data(nlabels * CC_STAT_MAX);
std::vector<float> centroidsv_data(nlabels * 2, 0);
for (int l = 0; l < nlabels; ++l){
int *row = statsv_data.data() + l * CC_STAT_MAX;
row[CC_STAT_LEFT] = std::numeric_limits<int>::max();
row[CC_STAT_TOP] = std::numeric_limits<int>::max();
row[CC_STAT_WIDTH] = std::numeric_limits<int>::min();
row[CC_STAT_HEIGHT] = std::numeric_limits<int>::min();
row[CC_STAT_AREA] = 0;
}
statsv = _Const(statsv_data.data(), {nlabels, CC_STAT_MAX}, NHWC, halide_type_of<int>());
centroidsv = _Const(centroidsv_data.data(), {nlabels, 2}, NHWC, halide_type_of<float>());
integrals.resize(nlabels, Point2ui64(0, 0));
}
void operator()(int r, int c, int l){
#define MIN(a,b) ((a) > (b) ? (b) : (a))
#define MAX(a,b) ((a) < (b) ? (b) : (a))
int *row = statsv->writeMap<int>() + l * CC_STAT_MAX;
row[CC_STAT_LEFT] = MIN(row[CC_STAT_LEFT], c);
row[CC_STAT_WIDTH] = MAX(row[CC_STAT_WIDTH], c);
row[CC_STAT_TOP] = MIN(row[CC_STAT_TOP], r);
row[CC_STAT_HEIGHT] = MAX(row[CC_STAT_HEIGHT], r);
row[CC_STAT_AREA]++;
Point2ui64& integral = integrals[l];
integral.x += c;
integral.y += r;
}
void finish(){
int* stats_ptr = statsv->writeMap<int>();
float* centroid_ptr = centroidsv->writeMap<float>();
for (int l = 0; l < _nlabels; ++l){
int *row = stats_ptr + l * CC_STAT_MAX;
float area = ((unsigned*)row)[CC_STAT_AREA];
float *centroid = centroid_ptr + l * 2;
if (area > 0){
row[CC_STAT_WIDTH] = row[CC_STAT_WIDTH] - row[CC_STAT_LEFT] + 1;
row[CC_STAT_HEIGHT] = row[CC_STAT_HEIGHT] - row[CC_STAT_TOP] + 1;
Point2ui64& integral = integrals[l];
centroid[0] = float(integral.x) / area;
centroid[1] = float(integral.y) / area;
} else {
row[CC_STAT_WIDTH] = 0;
row[CC_STAT_HEIGHT] = 0;
row[CC_STAT_LEFT] = -1;
centroid[0] = std::numeric_limits<float>::quiet_NaN();
centroid[1] = std::numeric_limits<float>::quiet_NaN();
}
}
}
};
template<typename LabelT>
inline static
LabelT findRoot(const LabelT *P, LabelT i){
LabelT root = i;
while (P[root] < root){
root = P[root];
}
return root;
}
template<typename LabelT>
inline static
void setRoot(LabelT *P, LabelT i, LabelT root){
while (P[i] < i){
LabelT j = P[i];
P[i] = root;
i = j;
}
P[i] = root;
}
template<typename LabelT>
inline static
LabelT find(LabelT *P, LabelT i){
LabelT root = findRoot(P, i);
setRoot(P, i, root);
return root;
}
template<typename LabelT>
inline static
LabelT set_union(LabelT *P, LabelT i, LabelT j){
LabelT root = findRoot(P, i);
if (i != j){
LabelT rootj = findRoot(P, j);
if (root > rootj){
root = rootj;
}
setRoot(P, j, root);
}
setRoot(P, i, root);
return root;
}
template<typename LabelT>
inline static
LabelT flattenL(LabelT *P, LabelT length){
LabelT k = 1;
for (LabelT i = 1; i < length; ++i){
if (P[i] < i){
P[i] = P[P[i]];
}
else{
P[i] = k; k = k + 1;
}
}
return k;
}
template<typename LabelT>
inline static
void flattenL(LabelT *P, const int start, const int nElem, LabelT& k){
for (int i = start; i < start + nElem; ++i){
if (P[i] < i){//node that point to root
P[i] = P[P[i]];
}
else{ //for root node
P[i] = k;
k = k + 1;
}
}
}
template<typename LabelT, typename PixelT>
LabelT LabelingGrana(VARP img, VARP& imgLabels, int connectivity, CCStatsOp& sop) {
int h, w, c;
getVARPSize(img, &h, &w, &c);
std::vector<int> label(h * w, 0);
imgLabels = _Const(label.data(), {1, h, w, 1}, NHWC, halide_type_of<int>());
int img_step = w * c, label_step = w;
//A quick and dirty upper bound for the maximum number of labels.
//Following formula comes from the fact that a 2x2 block in 8-connectivity case
//can never have more than 1 new label and 1 label for background.
//Worst case image example pattern:
//1 0 1 0 1...
//0 0 0 0 0...
//1 0 1 0 1...
//............
const size_t Plength = size_t(((h + 1) / 2) * size_t((w + 1) / 2)) + 1;
std::vector<LabelT> P_(Plength, 0);
LabelT *P = P_.data();
LabelT lunique = 1;
// First scan
for (int r = 0; r < h; r += 2) {
// Get rows pointer
const PixelT * const img_row = img->readMap<PixelT>() + r * img_step;
const PixelT * const img_row_prev = img_row - img_step;
const PixelT * const img_row_prev_prev = img_row_prev - img_step;
const PixelT * const img_row_fol = img_row + img_step;
LabelT * const imgLabels_row = imgLabels->writeMap<LabelT>() + r * label_step;
LabelT * const imgLabels_row_prev_prev = imgLabels_row - label_step - label_step;
for (int c = 0; c < w; c += 2) {
#define condition_b c-1>=0 && r-2>=0 && img_row_prev_prev[c-1]>0
#define condition_c r-2>=0 && img_row_prev_prev[c]>0
#define condition_d c+1<w&& r-2>=0 && img_row_prev_prev[c+1]>0
#define condition_e c+2<w && r-1>=0 && img_row_prev[c-1]>0
#define condition_g c-2>=0 && r-1>=0 && img_row_prev[c-2]>0
#define condition_h c-1>=0 && r-1>=0 && img_row_prev[c-1]>0
#define condition_i r-1>=0 && img_row_prev[c]>0
#define condition_j c+1<w && r-1>=0 && img_row_prev[c+1]>0
#define condition_k c+2<w && r-1>=0 && img_row_prev[c+2]>0
#define condition_m c-2>=0 && img_row[c-2]>0
#define condition_n c-1>=0 && img_row[c-1]>0
#define condition_o img_row[c]>0
#define condition_p c+1<w && img_row[c+1]>0
#define condition_r c-1>=0 && r+1<h && img_row_fol[c-1]>0
#define condition_s r+1<h && img_row_fol[c]>0
#define condition_t c+1<w && r+1<h && img_row_fol[c+1]>0
if (condition_o) {
if (condition_n) {
if (condition_j) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
if (condition_h) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_g) {
if (condition_b) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
if (condition_p) {
if (condition_k) {
if (condition_d) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
if (condition_h) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_g) {
if (condition_b) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
}
else {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
}
}
else {
if (condition_r) {
if (condition_j) {
if (condition_m) {
if (condition_h) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
if (condition_g) {
if (condition_b) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
if (condition_i) {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
else {
if (condition_h) {
if (condition_c) {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
else {
//Action_14: Merge labels of block P, Q and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row_prev_prev[c]), imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
}
else {
if (condition_p) {
if (condition_k) {
if (condition_m) {
if (condition_h) {
if (condition_d) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
if (condition_d) {
if (condition_g) {
if (condition_b) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
if (condition_i) {
if (condition_g) {
if (condition_b) {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
else {
//Action_16: labels of block Q, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_16: labels of block Q, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
}
else {
if (condition_i) {
if (condition_d) {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
else {
//Action_16: labels of block Q, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
else {
if (condition_h) {
if (condition_d) {
if (condition_c) {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
else {
//Action_15: Merge labels of block P, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_15: Merge labels of block P, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
}
else {
if (condition_h) {
if (condition_m) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
// ACTION_9 Merge labels of block P and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row[c - 2]);
continue;
}
}
else {
if (condition_i) {
if (condition_m) {
if (condition_g) {
if (condition_b) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
}
}
}
else {
if (condition_h) {
if (condition_m) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
// ACTION_9 Merge labels of block P and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row[c - 2]);
continue;
}
}
else {
if (condition_i) {
if (condition_m) {
if (condition_g) {
if (condition_b) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
}
}
}
}
else {
if (condition_j) {
if (condition_i) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
if (condition_h) {
if (condition_c) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
//Action_7: Merge labels of block P and Q
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row_prev_prev[c]);
continue;
}
}
else {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
}
}
else {
if (condition_p) {
if (condition_k) {
if (condition_i) {
if (condition_d) {
//Action_5: Assign label of block R
imgLabels_row[c] = imgLabels_row_prev_prev[c + 2];
continue;
}
else {
// ACTION_10 Merge labels of block Q and R
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]);
continue;
}
}
else {
if (condition_h) {
if (condition_d) {
if (condition_c) {
//Action_5: Assign label of block R
imgLabels_row[c] = imgLabels_row_prev_prev[c + 2];
continue;
}
else {
//Action_8: Merge labels of block P and R
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row_prev_prev[c + 2]);
continue;
}
}
else {
//Action_8: Merge labels of block P and R
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c - 2], imgLabels_row_prev_prev[c + 2]);
continue;
}
}
else {
//Action_5: Assign label of block R
imgLabels_row[c] = imgLabels_row_prev_prev[c + 2];
continue;
}
}
}
else {
if (condition_i) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
if (condition_h) {
//Action_3: Assign label of block P
imgLabels_row[c] = imgLabels_row_prev_prev[c - 2];
continue;
}
else {
//Action_2: New label (the block has foreground pixels and is not connected to anything else)
imgLabels_row[c] = lunique;
P[lunique] = lunique;
lunique = lunique + 1;
continue;
}
}
}
}
else {
if (condition_i) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
if (condition_h) {
//Action_3: Assign label of block P
imgLabels_row[c] = imgLabels_row_prev_prev[c - 2];
continue;
}
else {
//Action_2: New label (the block has foreground pixels and is not connected to anything else)
imgLabels_row[c] = lunique;
P[lunique] = lunique;
lunique = lunique + 1;
continue;
}
}
}
}
}
}
}
else {
if (condition_s) {
if (condition_p) {
if (condition_n) {
if (condition_j) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
if (condition_h) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_g) {
if (condition_b) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
if (condition_k) {
if (condition_d) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
if (condition_h) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_g) {
if (condition_b) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
}
}
else {
if (condition_r) {
if (condition_j) {
if (condition_m) {
if (condition_h) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
if (condition_g) {
if (condition_b) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
if (condition_k) {
if (condition_d) {
if (condition_m) {
if (condition_h) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
if (condition_g) {
if (condition_b) {
if (condition_i) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_c) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
else {
if (condition_i) {
if (condition_m) {
if (condition_h) {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
else {
if (condition_g) {
if (condition_b) {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
else {
//Action_16: labels of block Q, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_16: labels of block Q, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_16: labels of block Q, R and S
imgLabels_row[c] = set_union(P, set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]), imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_12: Merge labels of block R and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c + 2], imgLabels_row[c - 2]);
continue;
}
}
}
else {
if (condition_i) {
if (condition_m) {
if (condition_h) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_g) {
if (condition_b) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
}
else {
//Action_11: Merge labels of block Q and S
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row[c - 2]);
continue;
}
}
else {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
}
}
}
else {
if (condition_j) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
if (condition_k) {
if (condition_i) {
if (condition_d) {
//Action_5: Assign label of block R
imgLabels_row[c] = imgLabels_row_prev_prev[c + 2];
continue;
}
else {
// ACTION_10 Merge labels of block Q and R
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]);
continue;
}
}
else {
//Action_5: Assign label of block R
imgLabels_row[c] = imgLabels_row_prev_prev[c + 2];
continue;
}
}
else {
if (condition_i) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
//Action_2: New label (the block has foreground pixels and is not connected to anything else)
imgLabels_row[c] = lunique;
P[lunique] = lunique;
lunique = lunique + 1;
continue;
}
}
}
}
}
}
else {
if (condition_r) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
if (condition_n) {
//Action_6: Assign label of block S
imgLabels_row[c] = imgLabels_row[c - 2];
continue;
}
else {
//Action_2: New label (the block has foreground pixels and is not connected to anything else)
imgLabels_row[c] = lunique;
P[lunique] = lunique;
lunique = lunique + 1;
continue;
}
}
}
}
else {
if (condition_p) {
if (condition_j) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
if (condition_k) {
if (condition_i) {
if (condition_d) {
//Action_5: Assign label of block R
imgLabels_row[c] = imgLabels_row_prev_prev[c + 2];
continue;
}
else {
// ACTION_10 Merge labels of block Q and R
imgLabels_row[c] = set_union(P, imgLabels_row_prev_prev[c], imgLabels_row_prev_prev[c + 2]);
continue;
}
}
else {
//Action_5: Assign label of block R
imgLabels_row[c] = imgLabels_row_prev_prev[c + 2];
continue;
}
}
else {
if (condition_i) {
//Action_4: Assign label of block Q
imgLabels_row[c] = imgLabels_row_prev_prev[c];
continue;
}
else {
//Action_2: New label (the block has foreground pixels and is not connected to anything else)
imgLabels_row[c] = lunique;
P[lunique] = lunique;
lunique = lunique + 1;
continue;
}
}
}
}
else {
if (condition_t) {
//Action_2: New label (the block has foreground pixels and is not connected to anything else)
imgLabels_row[c] = lunique;
P[lunique] = lunique;
lunique = lunique + 1;
continue;
}
else {
// Action_1: No action (the block has no foreground pixels)
imgLabels_row[c] = 0;
continue;
}
}
}
}
}
}
// Second scan + analysis
LabelT nLabels = flattenL(P, lunique);
sop.init(nLabels);
if (h & 1){
if (w & 1){
// Case 1: both rows and cols odd
for (int r = 0; r < h; r += 2) {
// Get rows pointer
const PixelT * const img_row = img->readMap<PixelT>() + r * img_step;
const PixelT * const img_row_fol = img_row + img_step;
LabelT * const imgLabels_row = imgLabels->writeMap<LabelT>() + r * label_step;
LabelT * const imgLabels_row_fol = imgLabels_row + label_step;
for (int c = 0; c < w; c += 2) {
LabelT iLabel = imgLabels_row[c];
if (iLabel > 0) {
iLabel = P[iLabel];
if (img_row[c] > 0){
imgLabels_row[c] = iLabel;
sop(r, c, iLabel);
}
else{
imgLabels_row[c] = 0;
sop(r, c, 0);
}
if (c + 1 < w) {
if (img_row[c + 1] > 0){
imgLabels_row[c + 1] = iLabel;
sop(r, c + 1, iLabel);
}
else{
imgLabels_row[c + 1] = 0;
sop(r, c + 1, 0);
}
if (r + 1 < h) {
if (img_row_fol[c] > 0){
imgLabels_row_fol[c] = iLabel;
sop(r + 1, c, iLabel);
}
else{
imgLabels_row_fol[c] = 0;
sop(r + 1, c, 0);
}
if (img_row_fol[c + 1] > 0){
imgLabels_row_fol[c + 1] = iLabel;
sop(r + 1, c + 1, iLabel);
}
else{
imgLabels_row_fol[c + 1] = 0;
sop(r + 1, c + 1, 0);
}
}
}
else if (r + 1 < h) {
if (img_row_fol[c] > 0){
imgLabels_row_fol[c] = iLabel;
sop(r + 1, c, iLabel);
}
else{
imgLabels_row_fol[c] = 0;
sop(r + 1, c, 0);
}
}
}
else {
imgLabels_row[c] = 0;
sop(r, c, 0);
if (c + 1 < w) {
imgLabels_row[c + 1] = 0;
sop(r, c + 1, 0);
if (r + 1 < h) {
imgLabels_row_fol[c] = 0;
imgLabels_row_fol[c + 1] = 0;
sop(r + 1, c, 0);
sop(r + 1, c + 1, 0);
}
}
else if (r + 1 < h) {
imgLabels_row_fol[c] = 0;
sop(r + 1, c, 0);
}
}
}
}
}//END Case 1
else{
//Case 2: only rows odd
for (int r = 0; r < h; r += 2) {
// Get rows pointer
const PixelT * const img_row = img->readMap<PixelT>() + r * img_step;
const PixelT * const img_row_fol = img_row + img_step;
LabelT * const imgLabels_row = imgLabels->writeMap<LabelT>() + r * label_step;
LabelT * const imgLabels_row_fol = imgLabels_row + label_step;
for (int c = 0; c < w; c += 2) {
LabelT iLabel = imgLabels_row[c];
if (iLabel > 0) {
iLabel = P[iLabel];
if (img_row[c] > 0){
imgLabels_row[c] = iLabel;
sop(r, c, iLabel);
}
else{
imgLabels_row[c] = 0;
sop(r, c, 0);
}
if (img_row[c + 1] > 0){
imgLabels_row[c + 1] = iLabel;
sop(r, c + 1, iLabel);
}
else{
imgLabels_row[c + 1] = 0;
sop(r, c + 1, 0);
}
if (r + 1 < h) {
if (img_row_fol[c] > 0){
imgLabels_row_fol[c] = iLabel;
sop(r + 1, c, iLabel);
}
else{
imgLabels_row_fol[c] = 0;
sop(r + 1, c, 0);
}
if (img_row_fol[c + 1] > 0){
imgLabels_row_fol[c + 1] = iLabel;
sop(r + 1, c + 1, iLabel);
}
else{
imgLabels_row_fol[c + 1] = 0;
sop(r + 1, c + 1, 0);
}
}
}
else {
imgLabels_row[c] = 0;
imgLabels_row[c + 1] = 0;
sop(r, c, 0);
sop(r, c + 1, 0);
if (r + 1 < h) {
imgLabels_row_fol[c] = 0;
imgLabels_row_fol[c + 1] = 0;
sop(r + 1, c, 0);
sop(r + 1, c + 1, 0);
}
}
}
}
}// END Case 2
}
else{
if (w & 1){
//Case 3: only cols odd
for (int r = 0; r < h; r += 2) {
// Get rows pointer
const PixelT * const img_row = img->readMap<PixelT>() + r * img_step;
const PixelT * const img_row_fol = img_row + img_step;
LabelT * const imgLabels_row = imgLabels->writeMap<LabelT>() + r * label_step;
LabelT * const imgLabels_row_fol = imgLabels_row + label_step;
for (int c = 0; c < w; c += 2) {
LabelT iLabel = imgLabels_row[c];
if (iLabel > 0) {
iLabel = P[iLabel];
if (img_row[c] > 0){
imgLabels_row[c] = iLabel;
sop(r, c, iLabel);
}
else{
imgLabels_row[c] = 0;
sop(r, c, 0);
}
if (img_row_fol[c] > 0){
imgLabels_row_fol[c] = iLabel;
sop(r + 1, c, iLabel);
}
else{
imgLabels_row_fol[c] = 0;
sop(r + 1, c, 0);
}
if (c + 1 < w) {
if (img_row[c + 1] > 0){
imgLabels_row[c + 1] = iLabel;
sop(r, c + 1, iLabel);
}
else{
imgLabels_row[c + 1] = 0;
sop(r, c + 1, 0);
}
if (img_row_fol[c + 1] > 0){
imgLabels_row_fol[c + 1] = iLabel;
sop(r + 1, c + 1, iLabel);
}
else{
imgLabels_row_fol[c + 1] = 0;
sop(r + 1, c + 1, 0);
}
}
}
else{
imgLabels_row[c] = 0;
imgLabels_row_fol[c] = 0;
sop(r, c, 0);
sop(r + 1, c, 0);
if (c + 1 < w) {
imgLabels_row[c + 1] = 0;
imgLabels_row_fol[c + 1] = 0;
sop(r, c + 1, 0);
sop(r + 1, c + 1, 0);
}
}
}
}
}// END case 3
else{
//Case 4: nothing odd
for (int r = 0; r < h; r += 2) {
// Get rows pointer
const PixelT * const img_row = img->readMap<PixelT>() + r * img_step;
const PixelT * const img_row_fol = img_row + img_step;
LabelT * const imgLabels_row = imgLabels->writeMap<LabelT>() + r * label_step;
LabelT * const imgLabels_row_fol = imgLabels_row + label_step;
for (int c = 0; c < w; c += 2) {
LabelT iLabel = imgLabels_row[c];
if (iLabel > 0) {
iLabel = P[iLabel];
if (img_row[c] > 0){
imgLabels_row[c] = iLabel;
sop(r, c, iLabel);
}
else{
imgLabels_row[c] = 0;
sop(r, c, 0);
}
if (img_row[c + 1] > 0){
imgLabels_row[c + 1] = iLabel;
sop(r, c + 1, iLabel);
}
else{
imgLabels_row[c + 1] = 0;
sop(r, c + 1, 0);
}
if (img_row_fol[c] > 0){
imgLabels_row_fol[c] = iLabel;
sop(r + 1, c, iLabel);
}
else{
imgLabels_row_fol[c] = 0;
sop(r + 1, c, 0);
}
if (img_row_fol[c + 1] > 0){
imgLabels_row_fol[c + 1] = iLabel;
sop(r + 1, c + 1, iLabel);
}
else{
imgLabels_row_fol[c + 1] = 0;
sop(r + 1, c + 1, 0);
}
}
else {
imgLabels_row[c] = 0;
imgLabels_row[c + 1] = 0;
imgLabels_row_fol[c] = 0;
imgLabels_row_fol[c + 1] = 0;
sop(r, c, 0);
sop(r, c + 1, 0);
sop(r + 1, c, 0);
sop(r + 1, c + 1, 0);
}
}
}
}//END case 4
}
sop.finish();
return nLabels;
}
/*Copy From OpenCV End*/
std::vector<VARP> findContours(VARP image, int mode, int method, Point offset) {
if (method > CHAIN_APPROX_SIMPLE) {
MNN_ERROR("findContours: just support method = [CHAIN_APPROX_NONE, CHAIN_APPROX_SIMPLE].");
}
auto img = _Clone(image, true);
CvPoint off((int)offset.fX, (int)offset.fY);
auto info = cvStartFindContours(img, off, mode, method);
std::vector<CvPoint> points;
std::vector<VARP> contours;
while (cvFindNextContour(info, points)) {
auto ptr = reinterpret_cast<int*>(points.data());
contours.push_back(_Const(ptr, {static_cast<int>(points.size()), 1, 2}, NHWC, halide_type_of<int>()));
points.clear();
}
// same to opencv
std::reverse(contours.begin(), contours.end());
delete info;
return contours;
}
double contourArea(VARP _contour, bool oriented) {
auto info = _contour->getInfo();
int npoints = info->size / 2;
if (!npoints) return 0;
bool is_float = info->type == halide_type_of<float>();
bool is_int = info->type == halide_type_of<int>();
MNN_ASSERT(is_float || is_int);
double a00 = 0;
float prevx, prevy;
if (is_float) {
auto ptr = _contour->readMap<float>();
prevx = ptr[npoints * 2 - 2], prevy = ptr[npoints * 2 - 1];
for(int i = 0; i < npoints; i++) {
auto x = ptr[i * 2], y = ptr[i * 2 + 1];
a00 += (double)prevx * y - (double)prevy * x;
prevx = x, prevy = y;
}
} else {
auto ptr = _contour->readMap<int>();
prevx = ptr[npoints * 2 - 2], prevy = ptr[npoints * 2 - 1];
for(int i = 0; i < npoints; i++) {
float x = ptr[i * 2], y = ptr[i * 2 + 1];
a00 += (double)prevx * y - (double)prevy * x;
prevx = x, prevy = y;
}
}
a00 *= 0.5;
if(!oriented) a00 = fabs(a00);
return a00;
}
std::vector<int> convexHull(VARP points, bool clockwise, bool returnPoints) {
auto info = points->getInfo();
auto pointPtr = points->readMap<int>();
int i, total = info->size / 2, nout = 0;
int miny_ind = 0, maxy_ind = 0;
std::vector<int> _hull;
if( total == 0 )
{
return _hull;
}
std::vector<Point2i> _points(total);
std::vector<Point2i*> _pointer(total);
Point2i** pointer = _pointer.data();
std::vector<int> _stack(total + 2), _hullbuf(total);
int* stack = _stack.data();
int* hullbuf = _hullbuf.data();
for( i = 0; i < total; i++ ) {
_points[i].x = pointPtr[i * 2 + 0];
_points[i].y = pointPtr[i * 2 + 1];
pointer[i] = reinterpret_cast<Point2i*>(&_points[i]);
}
Point2i* data0 = pointer[0];
// sort the point set by x-coordinate, find min and max y
std::sort(pointer, pointer + total, [](Point2i* p1, Point2i* p2) {
if( p1->x != p2->x )
return p1->x < p2->x;
if( p1->y != p2->y )
return p1->y < p2->y;
return p1 < p2;
});
for( i = 1; i < total; i++ )
{
int y = pointer[i]->y;
if( pointer[miny_ind]->y > y )
miny_ind = i;
if( pointer[maxy_ind]->y < y )
maxy_ind = i;
}
if( pointer[0]->x == pointer[total-1]->x &&
pointer[0]->y == pointer[total-1]->y )
{
hullbuf[nout++] = 0;
}
else
{
// upper half
int *tl_stack = stack;
int tl_count = Sklansky_<int, int64_t>( pointer, 0, maxy_ind, tl_stack, -1, 1);
int *tr_stack = stack + tl_count;
int tr_count = Sklansky_<int, int64_t>( pointer, total-1, maxy_ind, tr_stack, -1, -1);
// gather upper part of convex hull to output
if( !clockwise )
{
std::swap( tl_stack, tr_stack );
std::swap( tl_count, tr_count );
}
for( i = 0; i < tl_count-1; i++ )
hullbuf[nout++] = int(pointer[tl_stack[i]] - data0);
for( i = tr_count - 1; i > 0; i-- )
hullbuf[nout++] = int(pointer[tr_stack[i]] - data0);
int stop_idx = tr_count > 2 ? tr_stack[1] : tl_count > 2 ? tl_stack[tl_count - 2] : -1;
// lower half
int *bl_stack = stack;
int bl_count = Sklansky_<int, int64_t>( pointer, 0, miny_ind, bl_stack, 1, -1);
int *br_stack = stack + bl_count;
int br_count = Sklansky_<int, int64_t>( pointer, total-1, miny_ind, br_stack, 1, 1);
if( clockwise )
{
std::swap( bl_stack, br_stack );
std::swap( bl_count, br_count );
}
if( stop_idx >= 0 )
{
int check_idx = bl_count > 2 ? bl_stack[1] :
bl_count + br_count > 2 ? br_stack[2-bl_count] : -1;
if( check_idx == stop_idx || (check_idx >= 0 &&
pointer[check_idx]->x == pointer[stop_idx]->x &&
pointer[check_idx]->y == pointer[stop_idx]->y) )
{
// if all the points lie on the same line, then
// the bottom part of the convex hull is the mirrored top part
// (except the exteme points).
bl_count = std::min( bl_count, 2 );
br_count = std::min( br_count, 2 );
}
}
for( i = 0; i < bl_count-1; i++ )
hullbuf[nout++] = int(pointer[bl_stack[i]] - data0);
for( i = br_count-1; i > 0; i-- )
hullbuf[nout++] = int(pointer[br_stack[i]] - data0);
// try to make the convex hull indices form
// an ascending or descending sequence by the cyclic
// shift of the output sequence.
if( nout >= 3 )
{
int min_idx = 0, max_idx = 0, lt = 0;
for( i = 1; i < nout; i++ )
{
int idx = hullbuf[i];
lt += hullbuf[i-1] < idx;
if( lt > 1 && lt <= i-2 )
break;
if( idx < hullbuf[min_idx] )
min_idx = i;
if( idx > hullbuf[max_idx] )
max_idx = i;
}
int mmdist = std::abs(max_idx - min_idx);
if( (mmdist == 1 || mmdist == nout-1) && (lt <= 1 || lt >= nout-2) )
{
int ascending = (max_idx + 1) % nout == min_idx;
int i0 = ascending ? min_idx : max_idx, j = i0;
if( i0 > 0 )
{
for( i = 0; i < nout; i++ )
{
int curr_idx = stack[i] = hullbuf[j];
int next_j = j+1 < nout ? j+1 : 0;
int next_idx = hullbuf[next_j];
if( i < nout-1 && (ascending != (curr_idx < next_idx)) )
break;
j = next_j;
}
if( i == nout )
memcpy(hullbuf, stack, nout*sizeof(hullbuf[0]));
}
}
}
}
if( returnPoints ) {
_hull.resize(nout * 2);
for (int i = 0; i < nout; i++) {
_hull[2 * i] = pointPtr[_hullbuf[i] * 2];
_hull[2 * i + 1] = pointPtr[_hullbuf[i] * 2 + 1];
}
} else {
_hull.resize(nout);
for (int i = 0; i < nout; i++) {
_hull[i] = _hullbuf[i];
}
}
return _hull;
}
RotatedRect minAreaRect(VARP _points) {
auto hull = convexHull(_points);
int n = hull.size() / 2;
Point2f out[3];
RotatedRect box;
std::vector<Point2f> points(n);
for (int i = 0; i < n; i++) {
points[i].x = hull[i * 2];
points[i].y = hull[i * 2 + 1];
}
auto hpoints = points.data();
if (n > 2) {
rotatingCalipers( hpoints, n, CALIPERS_MINAREARECT, (float*)out );
box.center.x = out[0].x + (out[1].x + out[2].x)*0.5f;
box.center.y = out[0].y + (out[1].y + out[2].y)*0.5f;
box.size.width = (float)std::sqrt((double)out[1].x*out[1].x + (double)out[1].y*out[1].y);
box.size.height = (float)std::sqrt((double)out[2].x*out[2].x + (double)out[2].y*out[2].y);
box.angle = (float)atan2( (double)out[1].y, (double)out[1].x );
} else if (n == 2) {
box.center.x = (hpoints[0].x + hpoints[1].x)*0.5f;
box.center.y = (hpoints[0].y + hpoints[1].y)*0.5f;
double dx = hpoints[1].x - hpoints[0].x;
double dy = hpoints[1].y - hpoints[0].y;
box.size.width = (float)std::sqrt(dx*dx + dy*dy);
box.size.height = 0;
box.angle = (float)atan2( dy, dx );
} else if (n == 1) {
box.center = hpoints[0];
}
box.angle = (float)(box.angle*180/MNN_PI);
return box;
}
Rect2i boundingRect(VARP points) {
auto info = points->getInfo();
int npoints = info->size / 2;
if( npoints == 0 )
return Rect2i();
bool is_float = info->type == halide_type_of<float>();
bool is_int = info->type == halide_type_of<int>();
MNN_ASSERT(is_float || is_int);
int xmin = 0, ymin = 0, xmax = -1, ymax = -1;
auto iptr = points->readMap<int>();
auto fptr = points->readMap<float>();
xmin = xmax = is_float ? fptr[0] : iptr[0];
ymin = ymax = is_float ? fptr[1] : iptr[1];
for(int i = 1; i < npoints; i++) {
int x = is_float ? fptr[2 * i] : iptr[2 * i];
int y = is_float ? fptr[2 * i + 1] : iptr[2 * i + 1];
if( xmin > x )
xmin = x;
if( xmax < x )
xmax = x;
if( ymin > y )
ymin = y;
if( ymax < y )
ymax = y;
}
return Rect2i(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1);
}
int connectedComponentsWithStats(VARP image, VARP& labels, VARP& statsv, VARP& centroids, int connectivity) {
MNN_ASSERT(connectivity == 8 || connectivity == 4);
CCStatsOp sop(statsv, centroids);
return LabelingGrana<int, uchar>(image, labels, connectivity, sop);
}
VARP boxPoints(RotatedRect box) {
std::vector<Point> pt(4);
double _angle = box.angle*MNN_PI/180.;
float b = (float)cos(_angle)*0.5f;
float a = (float)sin(_angle)*0.5f;
pt[0].fX = box.center.x - a*box.size.height - b*box.size.width;
pt[0].fY = box.center.y + b*box.size.height - a*box.size.width;
pt[1].fX = box.center.x + a*box.size.height - b*box.size.width;
pt[1].fY = box.center.y - b*box.size.height - a*box.size.width;
pt[2].fX = 2*box.center.x - pt[0].fX;
pt[2].fY = 2*box.center.y - pt[0].fY;
pt[3].fX = 2*box.center.x - pt[1].fX;
pt[3].fY = 2*box.center.y - pt[1].fY;
return _Const(pt.data(), {4, 2});
}
} // CV
} // MNN
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