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mirror of https://github.com/opencv/opencv.git synced 2026-07-29 23:33:05 +04:00

Merge remote-tracking branch 'origin/2.4' into merge-2.4

Conflicts:
	modules/core/src/gl_core_3_1.cpp
	modules/core/src/opencl/convert.cl
	modules/cudaimgproc/src/cuda/canny.cu
	modules/cudastereo/perf/perf_stereo.cpp
	modules/gpu/perf/perf_imgproc.cpp
	modules/gpu/test/test_denoising.cpp
	modules/ocl/src/opencl/imgproc_resize.cl
	samples/cpp/Qt_sample/main.cpp
This commit is contained in:
Roman Donchenko
2014-02-17 15:24:05 +04:00
22 changed files with 475 additions and 331 deletions
+1 -1
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@@ -114,7 +114,7 @@ void computeProjectiveMatrix( const Mat& ksi, Mat& Rt )
{
CV_Assert( ksi.size() == Size(1,6) && ksi.type() == CV_64FC1 );
#if defined(HAVE_EIGEN) && EIGEN_WORLD_VERSION == 3
#if defined(HAVE_EIGEN) && EIGEN_WORLD_VERSION == 3 && (!defined _MSC_VER || !defined _M_X64 || _MSC_VER > 1500)
const double* ksi_ptr = reinterpret_cast<const double*>(ksi.ptr(0));
Eigen::Matrix<double,4,4> twist, g;
twist << 0., -ksi_ptr[2], ksi_ptr[1], ksi_ptr[3],
+1 -1
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@@ -158,7 +158,7 @@ enum {
CV_StsVecLengthErr= -28, /* incorrect vector length */
CV_StsFilterStructContentErr= -29, /* incorr. filter structure content */
CV_StsKernelStructContentErr= -30, /* incorr. transform kernel content */
CV_StsFilterOffsetErr= -31, /* incorrect filter ofset value */
CV_StsFilterOffsetErr= -31, /* incorrect filter offset value */
CV_StsBadSize= -201, /* the input/output structure size is incorrect */
CV_StsDivByZero= -202, /* division by zero */
CV_StsInplaceNotSupported= -203, /* in-place operation is not supported */
+17 -12
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@@ -44,22 +44,27 @@
#include "gl_core_3_1.hpp"
#ifdef HAVE_OPENGL
#if defined(__APPLE__)
#include <mach-o/dyld.h>
#ifdef __APPLE__
#include <dlfcn.h>
static void* AppleGLGetProcAddress (const char* name)
{
static const struct mach_header* image = 0;
if (!image)
image = NSAddImage("/System/Library/Frameworks/OpenGL.framework/Versions/Current/OpenGL", NSADDIMAGE_OPTION_RETURN_ON_ERROR);
static bool initialized = false;
static void * handle = NULL;
if (!handle)
{
if (!initialized)
{
initialized = true;
const char * const path = "/System/Library/Frameworks/OpenGL.framework/Versions/Current/OpenGL";
// prepend a '_' for the Unix C symbol mangling convention
String symbolName = "_";
symbolName += String(name);
NSSymbol symbol = image ? NSLookupSymbolInImage(image, &symbolName[0], NSLOOKUPSYMBOLINIMAGE_OPTION_BIND | NSLOOKUPSYMBOLINIMAGE_OPTION_RETURN_ON_ERROR) : 0;
return symbol ? NSAddressOfSymbol(symbol) : 0;
handle = dlopen(path, RTLD_LAZY | RTLD_GLOBAL);
}
if (!handle)
return NULL;
}
return dlsym(handle, name);
}
#endif // __APPLE__
+8 -1
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@@ -243,7 +243,14 @@ PERF_TEST_P(Sz_Type_Op, AlphaComp,
TEST_CYCLE() cv::cuda::alphaComp(d_img1, d_img2, dst, alpha_op);
CUDA_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE);
if (CV_MAT_DEPTH(type) < CV_32F)
{
CUDA_SANITY_CHECK(dst, 1);
}
else
{
CUDA_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE);
}
}
else
{
+4 -3
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@@ -42,8 +42,6 @@
#if !defined CUDA_DISABLER
#include <utility>
#include <algorithm>
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/emulation.hpp"
#include "opencv2/core/cuda/transform.hpp"
@@ -463,7 +461,10 @@ namespace canny
count = min(count, map.cols * map.rows);
std::swap(st1, st2);
//std::swap(st1, st2);
short2* tmp = st1;
st1 = st2;
st2 = tmp;
}
}
}
+4 -2
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@@ -405,13 +405,15 @@ CUDA_TEST_P(OpticalFlowBM, Accuracy)
cv::Mat frame0 = readImage("opticalflow/rubberwhale1.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame0.empty());
cv::resize(frame0, frame0, cv::Size(), 0.5, 0.5);
cv::Mat frame1 = readImage("opticalflow/rubberwhale2.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(frame1.empty());
cv::resize(frame1, frame1, cv::Size(), 0.5, 0.5);
cv::Size block_size(16, 16);
cv::Size block_size(8, 8);
cv::Size shift_size(1, 1);
cv::Size max_range(16, 16);
cv::Size max_range(8, 8);
cv::cuda::GpuMat d_velx, d_vely, buf;
cv::cuda::calcOpticalFlowBM(loadMat(frame0), loadMat(frame1),
+9 -6
View File
@@ -118,18 +118,21 @@ bool TiffDecoder::readHeader()
bool result = false;
close();
TIFF* tif = TIFFOpen( m_filename.c_str(), "rb" );
// TIFFOpen() mode flags are different to fopen(). A 'b' in mode "rb" has no effect when reading.
// http://www.remotesensing.org/libtiff/man/TIFFOpen.3tiff.html
TIFF* tif = TIFFOpen( m_filename.c_str(), "r" );
if( tif )
{
int wdth = 0, hght = 0, photometric = 0;
uint32 wdth = 0, hght = 0;
uint16 photometric = 0;
m_tif = tif;
if( TIFFGetField( tif, TIFFTAG_IMAGEWIDTH, &wdth ) &&
TIFFGetField( tif, TIFFTAG_IMAGELENGTH, &hght ) &&
TIFFGetField( tif, TIFFTAG_PHOTOMETRIC, &photometric ))
{
int bpp=8, ncn = photometric > 1 ? 3 : 1;
uint16 bpp=8, ncn = photometric > 1 ? 3 : 1;
TIFFGetField( tif, TIFFTAG_BITSPERSAMPLE, &bpp );
TIFFGetField( tif, TIFFTAG_SAMPLESPERPIXEL, &ncn );
@@ -195,12 +198,12 @@ bool TiffDecoder::readData( Mat& img )
if( m_tif && m_width && m_height )
{
TIFF* tif = (TIFF*)m_tif;
int tile_width0 = m_width, tile_height0 = 0;
uint32 tile_width0 = m_width, tile_height0 = 0;
int x, y, i;
int is_tiled = TIFFIsTiled(tif);
int photometric;
uint16 photometric;
TIFFGetField( tif, TIFFTAG_PHOTOMETRIC, &photometric );
int bpp = 8, ncn = photometric > 1 ? 3 : 1;
uint16 bpp = 8, ncn = photometric > 1 ? 3 : 1;
TIFFGetField( tif, TIFFTAG_BITSPERSAMPLE, &bpp );
TIFFGetField( tif, TIFFTAG_SAMPLESPERPIXEL, &ncn );
const int bitsPerByte = 8;
+50 -2
View File
@@ -412,8 +412,8 @@ TEST(Highgui_Tiff, decode_tile16384x16384)
try
{
cv::imread(file3);
EXPECT_NO_THROW(cv::imread(file4));
cv::imread(file3, IMREAD_UNCHANGED);
EXPECT_NO_THROW(cv::imread(file4, IMREAD_UNCHANGED));
}
catch(const std::bad_alloc&)
{
@@ -423,6 +423,54 @@ TEST(Highgui_Tiff, decode_tile16384x16384)
remove(file3.c_str());
remove(file4.c_str());
}
TEST(Highgui_Tiff, write_read_16bit_big_little_endian)
{
// see issue #2601 "16-bit Grayscale TIFF Load Failures Due to Buffer Underflow and Endianness"
// Setup data for two minimal 16-bit grayscale TIFF files in both endian formats
uchar tiff_sample_data[2][86] = { {
// Little endian
0x49, 0x49, 0x2a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0xad, 0xde, 0xef, 0xbe, 0x06, 0x00, 0x00, 0x01,
0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x01, 0x03, 0x00, 0x01, 0x00,
0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00,
0x00, 0x00, 0x06, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x11, 0x01,
0x04, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x17, 0x01, 0x04, 0x00, 0x01, 0x00,
0x00, 0x00, 0x04, 0x00, 0x00, 0x00 }, {
// Big endian
0x4d, 0x4d, 0x00, 0x2a, 0x00, 0x00, 0x00, 0x0c, 0xde, 0xad, 0xbe, 0xef, 0x00, 0x06, 0x01, 0x00,
0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x02, 0x00, 0x00, 0x01, 0x01, 0x00, 0x03, 0x00, 0x00,
0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x02, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x10,
0x00, 0x00, 0x01, 0x06, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x11,
0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x01, 0x17, 0x00, 0x04, 0x00, 0x00,
0x00, 0x01, 0x00, 0x00, 0x00, 0x04 }
};
// Test imread() for both a little endian TIFF and big endian TIFF
for (int i = 0; i < 2; i++)
{
string filename = cv::tempfile(".tiff");
// Write sample TIFF file
FILE* fp = fopen(filename.c_str(), "wb");
ASSERT_TRUE(fp != NULL);
ASSERT_EQ((size_t)1, fwrite(tiff_sample_data, 86, 1, fp));
fclose(fp);
Mat img = imread(filename, IMREAD_UNCHANGED);
EXPECT_EQ(1, img.rows);
EXPECT_EQ(2, img.cols);
EXPECT_EQ(CV_16U, img.type());
EXPECT_EQ(sizeof(ushort), img.elemSize());
EXPECT_EQ(1, img.channels());
EXPECT_EQ(0xDEAD, img.at<ushort>(0,0));
EXPECT_EQ(0xBEEF, img.at<ushort>(0,1));
remove(filename.c_str());
}
}
#endif
#ifdef HAVE_WEBP
@@ -87,7 +87,6 @@ public class TermCriteria {
@Override
public String toString() {
if (this == null) return "null";
return "{ type: " + type + ", maxCount: " + maxCount + ", epsilon: " + epsilon + "}";
}
}
@@ -61,6 +61,7 @@ TEST(CUDA_BruteForceNonLocalMeans, Regression)
cv::Mat bgr = readImage("../gpu/denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
ASSERT_FALSE(bgr.empty());
cv::resize(bgr, bgr, cv::Size(256, 256));
cv::Mat gray;
cv::cvtColor(bgr, gray, cv::COLOR_BGR2GRAY);
@@ -77,6 +78,8 @@ TEST(CUDA_BruteForceNonLocalMeans, Regression)
cv::Mat bgr_gold = readImage("../gpu/denoising/nlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
cv::Mat gray_gold = readImage("../gpu/denoising/nlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty());
cv::resize(bgr_gold, bgr_gold, cv::Size(256, 256));
cv::resize(gray_gold, gray_gold, cv::Size(256, 256));
EXPECT_MAT_NEAR(bgr_gold, dbgr, 1e-4);
EXPECT_MAT_NEAR(gray_gold, dgray, 1e-4);