generic-library/opencv
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Reduce variables scope

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This commit is contained in:
Dmitry-Me 2016-02-01 11:10:13 +03:00
parent a4692a0da5
commit bf604f1780
3 changed files with 13 additions and 19 deletions
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8
modules/calib3d/src/ptsetreg.cpp
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@ -206,7 +206,7 @@ public:
for( iter = 0; iter < niters; iter++ )
{
int i, goodCount, nmodels;
int i, nmodels;
if( count > modelPoints )
{
bool found = getSubset( m1, m2, ms1, ms2, rng, 10000 );
@ -227,7 +227,7 @@ public:
for( i = 0; i < nmodels; i++ )
{
Mat model_i = model.rowRange( i*modelSize.height, (i+1)*modelSize.height );
goodCount = findInliers( m1, m2, model_i, err, mask, threshold );
int goodCount = findInliers( m1, m2, model_i, err, mask, threshold );
if( goodCount > MAX(maxGoodCount, modelPoints-1) )
{
@ -284,7 +284,7 @@ public:
int d1 = m1.channels() > 1 ? m1.channels() : m1.cols;
int d2 = m2.channels() > 1 ? m2.channels() : m2.cols;
int count = m1.checkVector(d1), count2 = m2.checkVector(d2);
double minMedian = DBL_MAX, sigma;
double minMedian = DBL_MAX;
RNG rng((uint64)-1);
@ -359,7 +359,7 @@ public:
if( minMedian < DBL_MAX )
{
sigma = 2.5*1.4826*(1 + 5./(count - modelPoints))*std::sqrt(minMedian);
double sigma = 2.5*1.4826*(1 + 5./(count - modelPoints))*std::sqrt(minMedian);
sigma = MAX( sigma, 0.001 );
count = findInliers( m1, m2, bestModel, err, mask, sigma );

3
modules/videostab/src/motion_stabilizing.cpp
View File

@ -602,13 +602,12 @@ static inline bool isGoodMotion(const float M[], float w, float h, float dx, flo
{
Point2f pt[4] = {Point2f(0,0), Point2f(w,0), Point2f(w,h), Point2f(0,h)};
Point2f Mpt[4];
float z;
for (int i = 0; i < 4; ++i)
{
Mpt[i].x = M[0]*pt[i].x + M[1]*pt[i].y + M[2];
Mpt[i].y = M[3]*pt[i].x + M[4]*pt[i].y + M[5];
z = M[6]*pt[i].x + M[7]*pt[i].y + M[8];
float z = M[6]*pt[i].x + M[7]*pt[i].y + M[8];
Mpt[i].x /= z;
Mpt[i].y /= z;
}

21
modules/videostab/src/outlier_rejection.cpp
View File

@ -84,16 +84,14 @@ void TranslationBasedLocalOutlierRejector::process(
Size ncells((frameSize.width + cellSize_.width - 1) / cellSize_.width,
(frameSize.height + cellSize_.height - 1) / cellSize_.height);
int cx, cy;
// fill grid cells
grid_.assign(ncells.area(), Cell());
for (int i = 0; i < npoints; ++i)
{
cx = std::min(cvRound(points0_[i].x / cellSize_.width), ncells.width - 1);
cy = std::min(cvRound(points0_[i].y / cellSize_.height), ncells.height - 1);
int cx = std::min(cvRound(points0_[i].x / cellSize_.width), ncells.width - 1);
int cy = std::min(cvRound(points0_[i].y / cellSize_.height), ncells.height - 1);
grid_[cy * ncells.width + cx].push_back(i);
}
@ -101,19 +99,16 @@ void TranslationBasedLocalOutlierRejector::process(
RNG rng(0);
int niters = ransacParams_.niters();
int ninliers, ninliersMax;
std::vector<int> inliers;
float dx, dy, dxBest, dyBest;
float x1, y1;
int idx;
for (size_t ci = 0; ci < grid_.size(); ++ci)
{
// estimate translation model at the current cell using RANSAC
float x1, y1;
const Cell &cell = grid_[ci];
ninliersMax = 0;
dxBest = dyBest = 0.f;
int ninliers, ninliersMax = 0;
float dxBest = 0.f, dyBest = 0.f;
// find the best hypothesis
@ -121,9 +116,9 @@ void TranslationBasedLocalOutlierRejector::process(
{
for (int iter = 0; iter < niters; ++iter)
{
idx = cell[static_cast<unsigned>(rng) % cell.size()];
dx = points1_[idx].x - points0_[idx].x;
dy = points1_[idx].y - points0_[idx].y;
int idx = cell[static_cast<unsigned>(rng) % cell.size()];
float dx = points1_[idx].x - points0_[idx].x;
float dy = points1_[idx].y - points0_[idx].y;
ninliers = 0;
for (size_t i = 0; i < cell.size(); ++i)