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Code Packages Releases Wiki Activity

Merge remote-tracking branch 'upstream/3.4' into merge-3.4

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This commit is contained in:
Alexander Alekhin
2018-11-17 13:50:04 +00:00
parent d7540c9a3c 183bc5c281
commit 22dbcf98c5
237 changed files with 2990 additions and 1660 deletions
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samples/_winpack_build_sample.cmd
+53 -56
View File
@@ -7,7 +7,7 @@
:: - MSVS 2015/2017
:: (tools are searched on default paths or environment should be pre-configured)
@echo off
setlocal ENABLEEXTENSIONS ENABLEDELAYEDEXPANSION
setlocal
set SCRIPTDIR=%~dp0
if NOT exist "%SCRIPTDIR%\..\..\build" (
@@ -28,20 +28,20 @@ if NOT "%~x1" == ".cpp" (
goto die
)
set SRC_FILENAME=%~dpnx1
echo SRC_FILENAME=!SRC_FILENAME!
call :dirname "!SRC_FILENAME!" SRC_DIR
echo SRC_DIR=!SRC_DIR!
echo SRC_FILENAME=%SRC_FILENAME%
call :dirname "%SRC_FILENAME%" SRC_DIR
echo SRC_DIR=%SRC_DIR%
set "SRC_NAME=%~n1"
echo SRC_NAME=!SRC_NAME!
echo SRC_NAME=%SRC_NAME%
echo ================================================================================
:: Path to FFMPEG binary files
set "PATH=!PATH!;!SCRIPTDIR!\..\..\build\bin\"
set "PATH=%PATH%;%SCRIPTDIR%\..\..\build\bin\"
:: Detect compiler
cl /? >NUL 2>NUL <NUL
if !ERRORLEVEL! NEQ 0 (
PUSHD !CD!
if %ERRORLEVEL% NEQ 0 (
PUSHD %CD%
if exist "C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\VC\Auxiliary\Build\vcvars64.bat" (
CALL "C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\VC\Auxiliary\Build\vcvars64.bat"
goto check_msvc
@@ -61,7 +61,7 @@ if !ERRORLEVEL! NEQ 0 (
:check_msvc
POPD
cl /? >NUL 2>NUL <NUL
if !ERRORLEVEL! NEQ 0 (
if %ERRORLEVEL% NEQ 0 (
set "MSG=Can't detect Microsoft Visial Studio C++ compiler (cl.exe). MSVS 2015/2017 are supported only from standard locations"
goto die
)
@@ -69,88 +69,85 @@ if !ERRORLEVEL! NEQ 0 (
:: Detect CMake
cmake --version >NUL 2>NUL
if !ERRORLEVEL! EQU 0 (
set CMAKE_FOUND=1
) else (
if exist "C:\Program Files\CMake\bin" (
set "PATH=!PATH!;C:\Program Files\CMake\bin"
cmake --version >NUL 2>NUL
if !ERRORLEVEL! EQU 0 (
set CMAKE_FOUND=1
)
)
)
if NOT DEFINED CMAKE_FOUND (
set "MSG=CMake is required to build OpenCV samples. Download it from here: https://cmake.org/download/ and install into 'C:\Program Files\CMake'"
goto die
) else (
call :execute cmake --version
echo CMake is detected
)
if %ERRORLEVEL% EQU 0 GOTO :CMAKE_FOUND
if NOT exist "C:\Program Files\CMake\bin" GOTO CMAKE_NOT_FOUND
set "PATH=%PATH%;C:\Program Files\CMake\bin"
cmake --version >NUL 2>NUL
if %ERRORLEVEL% EQU 0 GOTO :CMAKE_FOUND
:CMAKE_NOT_FOUND
set "MSG=CMake is required to build OpenCV samples. Download it from here: https://cmake.org/download/ and install into 'C:\Program Files\CMake'"
goto die
:CMAKE_FOUND
set CMAKE_FOUND=1
call :execute cmake --version
echo CMake is detected
:: Detect available MSVS version
if NOT DEFINED VisualStudioVersion (
set "MSG=Can't determine MSVS version. 'VisualStudioVersion' is not defined"
goto die
)
if "!VisualStudioVersion!" == "14.0" (
if "%VisualStudioVersion%" == "14.0" (
set CMAKE_GENERATOR="Visual Studio 14 Win64"
set "PATH=!PATH!;!SCRIPTDIR!\..\..\build\x64\vc14\bin\"
set "PATH=%PATH%;%SCRIPTDIR%\..\..\build\x64\vc14\bin\"
) else (
if "!VisualStudioVersion!" == "15.0" (
if "%VisualStudioVersion%" == "15.0" (
set CMAKE_GENERATOR="Visual Studio 15 Win64"
set "PATH=!PATH!;!SCRIPTDIR!\..\..\build\x64\vc15\bin\"
set "PATH=%PATH%;%SCRIPTDIR%\..\..\build\x64\vc15\bin\"
) else (
set "MSG=Unsupported MSVS version. VisualStudioVersion=!VisualStudioVersion!"
set "MSG=Unsupported MSVS version. VisualStudioVersion=%VisualStudioVersion%"
goto die
)
)
set "BUILD_DIR=!SRC_DIR!\build_!SRC_NAME!"
set "BUILD_DIR=%SRC_DIR%\build_%SRC_NAME%"
call :set_title Create build directory
if NOT exist "!BUILD_DIR!" ( call :execute md "!BUILD_DIR!" )
PUSHD "!BUILD_DIR!"
if NOT exist "!BUILD_DIR!/sample" ( call :execute md "!BUILD_DIR!/sample" )
call :execute copy /Y "!SCRIPTDIR!/CMakeLists.example.in" "!BUILD_DIR!/sample/CMakeLists.txt"
if NOT exist "%BUILD_DIR%" ( call :execute md "%BUILD_DIR%" )
PUSHD "%BUILD_DIR%"
if NOT exist "%BUILD_DIR%/sample" ( call :execute md "%BUILD_DIR%/sample" )
call :execute copy /Y "%SCRIPTDIR%/CMakeLists.example.in" "%BUILD_DIR%/sample/CMakeLists.txt"
call :set_title Configuring via CMake
call :execute cmake -G!CMAKE_GENERATOR! "!BUILD_DIR!\sample" -DEXAMPLE_NAME=!SRC_NAME! "-DEXAMPLE_FILE=!SRC_FILENAME!" "-DOpenCV_DIR=!SCRIPTDIR!\..\..\build"
if !ERRORLEVEL! NEQ 0 (
set "MSG=CMake configuration step failed: !BUILD_DIR!"
call :execute cmake -G%CMAKE_GENERATOR% "%BUILD_DIR%\sample" -DEXAMPLE_NAME=%SRC_NAME% "-DEXAMPLE_FILE=%SRC_FILENAME%" "-DOpenCV_DIR=%SCRIPTDIR%\..\..\build"
if %ERRORLEVEL% NEQ 0 (
set "MSG=CMake configuration step failed: %BUILD_DIR%"
goto die
)
call :set_title Build sample project via CMake
call :execute cmake --build . --config Release
if !ERRORLEVEL! NEQ 0 (
set "MSG=Build step failed: !BUILD_DIR!"
if %ERRORLEVEL% NEQ 0 (
set "MSG=Build step failed: %BUILD_DIR%"
goto die
)
call :set_title Launch !SRC_NAME!
if NOT exist "!BUILD_DIR!\Release\!SRC_NAME!.exe" (
echo. "ERROR: Can't find executable file (build seems broken): !SRC_NAME!.exe"
call :set_title Launch %SRC_NAME%
if NOT exist "%BUILD_DIR%\Release\%SRC_NAME%.exe" (
echo. "ERROR: Can't find executable file (build seems broken): %SRC_NAME%.exe"
) else (
cd "!BUILD_DIR!\Release"
call :execute "!SRC_NAME!.exe" --help
cd "%BUILD_DIR%\Release"
call :execute "%SRC_NAME%.exe" --help
echo ================================================================================
echo ** Type '!SRC_NAME!.exe' to run sample application
echo ** Type '!SRC_NAME!.exe --help' to get list of available options (if available)
echo ** Type 'start ..\!SRC_NAME!.sln' to launch MSVS IDE
echo ** Type '%SRC_NAME%.exe' to run sample application
echo ** Type '%SRC_NAME%.exe --help' to get list of available options (if available)
echo ** Type 'start ..\%SRC_NAME%.sln' to launch MSVS IDE
echo ** Type 'cmake --build .. --config Release' to rebuild sample
echo ** Type 'exit' to exit from interactive shell and open the build directory
echo ================================================================================
)
call :set_title Hands-on: !SRC_NAME!
cmd /k echo Current directory: !CD!
call :set_title Hands-on: %SRC_NAME%
cmd /k echo Current directory: %CD%
call :set_title Done: !SRC_NAME!
call :set_title Done: %SRC_NAME%
echo Opening build directory with project files...
explorer "!BUILD_DIR!"
explorer "%BUILD_DIR%"
POPD
echo Done!
echo Done%
pause
exit /B 0
@@ -166,7 +163,7 @@ exit /B 0
:execute
echo =================================================================================
setlocal enableextensions disabledelayedexpansion
setlocal
echo %*
call %*
endlocal
samples/_winpack_run_python_sample.cmd
+124
View File
@@ -0,0 +1,124 @@
@ECHO OFF
SETLOCAL
SET SCRIPT_DIR=%~dp0
IF NOT EXIST "%SCRIPT_DIR%\..\..\build\setup_vars_opencv4.cmd" (
ECHO ERROR: OpenCV Winpack installation is required
pause
exit
)
:: Detect Python binary
python -V 2>nul
IF %ERRORLEVEL% EQU 0 (
SET PYTHON=python
GOTO :PYTHON_FOUND
)
CALL :QUERY_PYTHON 3.7
IF %ERRORLEVEL% EQU 0 GOTO :PYTHON_FOUND
CALL :QUERY_PYTHON 3.6
IF %ERRORLEVEL% EQU 0 GOTO :PYTHON_FOUND
CALL :QUERY_PYTHON 3.5
IF %ERRORLEVEL% EQU 0 GOTO :PYTHON_FOUND
CALL :QUERY_PYTHON 3.4
IF %ERRORLEVEL% EQU 0 GOTO :PYTHON_FOUND
CALL :QUERY_PYTHON 2.7
IF %ERRORLEVEL% EQU 0 GOTO :PYTHON_FOUND
GOTO :PYTHON_NOT_FOUND
:QUERY_PYTHON
SETLOCAL
SET PY_VERSION=%1
SET PYTHON_DIR=
CALL :regquery "HKCU\SOFTWARE\Python\PythonCore\%PY_VERSION%\InstallPath" PYTHON_DIR
IF EXIST "%PYTHON_DIR%\python.exe" (
SET "PYTHON=%PYTHON_DIR%\python.exe"
GOTO :QUERY_PYTHON_FOUND
)
CALL :regquery "HKLM\SOFTWARE\Python\PythonCore\%PY_VERSION%\InstallPath" PYTHON_DIR
IF EXIST "%PYTHON_DIR%\python.exe" (
SET "PYTHON=%PYTHON_DIR%\python.exe"
GOTO :QUERY_PYTHON_FOUND
)
::echo Python %PY_VERSION% is not detected
ENDLOCAL
EXIT /B 1
:QUERY_PYTHON_FOUND
ECHO Found Python %PY_VERSION% from Windows Registry: %PYTHON%
ENDLOCAL & SET PYTHON=%PYTHON%
EXIT /B 0
IF exist C:\Python27-x64\python.exe (
SET PYTHON=C:\Python27-x64\python.exe
GOTO :PYTHON_FOUND
)
IF exist C:\Python27\python.exe (
SET PYTHON=C:\Python27\python.exe
GOTO :PYTHON_FOUND
)
:PYTHON_NOT_FOUND
ECHO ERROR: Python not found
IF NOT DEFINED OPENCV_BATCH_MODE ( pause )
EXIT /B
:PYTHON_FOUND
ECHO Using Python: %PYTHON%
:: Don't generate unnecessary .pyc cache files
SET PYTHONDONTWRITEBYTECODE=1
IF [%1]==[] goto rundemo
set SRC_FILENAME=%~dpnx1
echo SRC_FILENAME=%SRC_FILENAME%
call :dirname "%SRC_FILENAME%" SRC_DIR
call :dirname "%PYTHON%" PYTHON_DIR
PUSHD %SRC_DIR%
CALL "%SCRIPT_DIR%\..\..\build\setup_vars_opencv4.cmd"
ECHO Run: %*
%PYTHON% %*
SET result=%errorlevel%
IF %result% NEQ 0 (
IF NOT DEFINED OPENCV_BATCH_MODE (
SET "PATH=%PYTHON_DIR%;%PATH%"
echo ================================================================================
echo ** Type 'python sample_name.py' to run sample
echo ** Type 'exit' to exit from interactive shell and open the build directory
echo ================================================================================
cmd /k echo Current directory: %CD%
)
)
POPD
EXIT /B %result%
:rundemo
PUSHD "%SCRIPT_DIR%\python"
CALL "%SCRIPT_DIR%\..\..\build\setup_vars_opencv4.cmd"
%PYTHON% demo.py
SET result=%errorlevel%
IF %result% NEQ 0 (
IF NOT DEFINED OPENCV_BATCH_MODE ( pause )
)
POPD
EXIT /B %result%
:dirname file resultVar
setlocal
set _dir=%~dp1
set _dir=%_dir:~0,-1%
endlocal & set %2=%_dir%
EXIT /B 0
:regquery name resultVar
SETLOCAL
FOR /F "tokens=*" %%A IN ('REG QUERY "%1" /reg:64 /ve 2^>NUL ^| FIND "REG_SZ"') DO SET _val=%%A
IF "x%_val%x"=="xx" EXIT /B 1
SET _val=%_val:*REG_SZ=%
FOR /F "tokens=*" %%A IN ("%_val%") DO SET _val=%%A
ENDLOCAL & SET %2=%_val%
EXIT /B 0
samples/cpp/application_trace.cpp
+1 -1
View File
@@ -41,7 +41,7 @@ int main(int argc, char** argv)
if (video.size() == 1 && isdigit(video[0]))
capture.open(parser.get<int>("@video"));
else
capture.open(video);
capture.open(samples::findFileOrKeep(video)); // keep GStreamer pipelines
int nframes = 0;
if (capture.isOpened())
{
samples/cpp/bgfg_segm.cpp
+3
View File
@@ -38,7 +38,10 @@ int main(int argc, const char** argv)
if (file.empty())
cap.open(camera);
else
{
file = samples::findFileOrKeep(file); // ignore gstreamer pipelines
cap.open(file.c_str());
}
if (!cap.isOpened())
{
cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl;
samples/cpp/calibration.cpp
+22 -3
View File
@@ -285,12 +285,31 @@ static bool readStringList( const string& filename, vector<string>& l )
FileStorage fs(filename, FileStorage::READ);
if( !fs.isOpened() )
return false;
size_t dir_pos = filename.rfind('/');
if (dir_pos == string::npos)
dir_pos = filename.rfind('\\');
FileNode n = fs.getFirstTopLevelNode();
if( n.type() != FileNode::SEQ )
return false;
FileNodeIterator it = n.begin(), it_end = n.end();
for( ; it != it_end; ++it )
l.push_back((string)*it);
{
string fname = (string)*it;
if (dir_pos != string::npos)
{
string fpath = samples::findFile(filename.substr(0, dir_pos + 1) + fname, false);
if (fpath.empty())
{
fpath = samples::findFile(fname);
}
fname = fpath;
}
else
{
fname = samples::findFile(fname);
}
l.push_back(fname);
}
return true;
}
@@ -427,10 +446,10 @@ int main( int argc, char** argv )
if( !inputFilename.empty() )
{
if( !videofile && readStringList(inputFilename, imageList) )
if( !videofile && readStringList(samples::findFile(inputFilename), imageList) )
mode = CAPTURING;
else
capture.open(inputFilename);
capture.open(samples::findFileOrKeep(inputFilename));
}
else
capture.open(cameraId);
samples/cpp/cloning_demo.cpp
+29 -25
View File
@@ -17,8 +17,7 @@
* The program takes as input a source and a destination image (for 1-3 methods)
* and outputs the cloned image.
*
* Download test images from opencv_extra folder @github.
*
* Download test images from opencv_extra repository.
*/
#include "opencv2/photo.hpp"
@@ -27,7 +26,6 @@
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include <iostream>
#include <stdlib.h>
using namespace std;
using namespace cv;
@@ -35,6 +33,7 @@ using namespace cv;
int main()
{
cout << endl;
cout << "Note: specify OPENCV_SAMPLES_DATA_PATH_HINT=<opencv_extra>/testdata/cv" << endl << endl;
cout << "Cloning Module" << endl;
cout << "---------------" << endl;
cout << "Options: " << endl;
@@ -54,9 +53,9 @@ int main()
if(num == 1)
{
string folder = "cloning/Normal_Cloning/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "destination1.png";
string original_path3 = folder + "mask.png";
string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = samples::findFile(folder + "destination1.png");
string original_path3 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR);
@@ -86,14 +85,14 @@ int main()
seamlessClone(source, destination, mask, p, result, 1);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
imwrite("cloned.png", result);
}
else if(num == 2)
{
string folder = "cloning/Mixed_Cloning/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "destination1.png";
string original_path3 = folder + "mask.png";
string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = samples::findFile(folder + "destination1.png");
string original_path3 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR);
@@ -123,14 +122,14 @@ int main()
seamlessClone(source, destination, mask, p, result, 2);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
imwrite("cloned.png", result);
}
else if(num == 3)
{
string folder = "cloning/Monochrome_Transfer/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "destination1.png";
string original_path3 = folder + "mask.png";
string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = samples::findFile(folder + "destination1.png");
string original_path3 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR);
@@ -160,13 +159,13 @@ int main()
seamlessClone(source, destination, mask, p, result, 3);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
imwrite("cloned.png", result);
}
else if(num == 4)
{
string folder = "cloning/Color_Change/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "mask.png";
string folder = "cloning/color_change/";
string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR);
@@ -187,13 +186,13 @@ int main()
colorChange(source, mask, result, 1.5, .5, .5);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
imwrite("cloned.png", result);
}
else if(num == 5)
{
string folder = "cloning/Illumination_Change/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "mask.png";
string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR);
@@ -214,13 +213,13 @@ int main()
illuminationChange(source, mask, result, 0.2f, 0.4f);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
imwrite("cloned.png", result);
}
else if(num == 6)
{
string folder = "cloning/Texture_Flattening/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "mask.png";
string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR);
@@ -241,7 +240,12 @@ int main()
textureFlattening(source, mask, result, 30, 45, 3);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
imwrite("cloned.png", result);
}
else
{
cerr << "Invalid selection: " << num << endl;
exit(1);
}
waitKey(0);
}
samples/cpp/cloning_gui.cpp
+5 -7
View File
@@ -30,14 +30,12 @@
* Result: The cloned image will be displayed.
*/
#include <signal.h>
#include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include <iostream>
#include <stdlib.h>
// we're NOT "using namespace std;" here, to avoid collisions between the beta variable and std::beta in c++17
using std::cin;
@@ -320,9 +318,9 @@ int main()
cout << "Enter Destination Image: ";
cin >> dest;
img0 = imread(src);
img0 = imread(samples::findFile(src));
img2 = imread(dest);
img2 = imread(samples::findFile(dest));
if(img0.empty())
{
@@ -370,7 +368,7 @@ int main()
cout << "Blue: ";
cin >> blue;
img0 = imread(src);
img0 = imread(samples::findFile(src));
if(img0.empty())
{
@@ -400,7 +398,7 @@ int main()
cout << "beta: ";
cin >> beta;
img0 = imread(src);
img0 = imread(samples::findFile(src));
if(img0.empty())
{
@@ -433,7 +431,7 @@ int main()
cout << "kernel_size: ";
cin >> kernel_size;
img0 = imread(src);
img0 = imread(samples::findFile(src));
if(img0.empty())
{
samples/cpp/connected_components.cpp
+2 -2
View File
@@ -35,14 +35,14 @@ static void on_trackbar(int, void*)
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv, "{@image|../data/stuff.jpg|image for converting to a grayscale}");
CommandLineParser parser(argc, argv, "{@image|stuff.jpg|image for converting to a grayscale}");
parser.about("\nThis program demonstrates connected components and use of the trackbar\n");
parser.printMessage();
cout << "\nThe image is converted to grayscale and displayed, another image has a trackbar\n"
"that controls thresholding and thereby the extracted contours which are drawn in color\n";
String inputImage = parser.get<string>(0);
img = imread(inputImage, IMREAD_GRAYSCALE);
img = imread(samples::findFile(inputImage), IMREAD_GRAYSCALE);
if(img.empty())
{
samples/cpp/create_mask.cpp
+4 -4
View File
@@ -95,7 +95,7 @@ void mouseHandler(int event, int x, int y, int, void*)
int main(int argc, char **argv)
{
CommandLineParser parser(argc, argv, "{@input | ../data/lena.jpg | input image}");
CommandLineParser parser(argc, argv, "{@input | lena.jpg | input image}");
parser.about("This program demonstrates using mouse events\n");
parser.printMessage();
cout << "\n\tleft mouse button - set a point to create mask shape\n"
@@ -103,13 +103,13 @@ int main(int argc, char **argv)
"\tmiddle mouse button - reset\n";
String input_image = parser.get<String>("@input");
src = imread(input_image);
src = imread(samples::findFile(input_image));
if (src.empty())
{
{
printf("Error opening image: %s\n", input_image.c_str());
return 0;
}
}
namedWindow("Source", WINDOW_AUTOSIZE);
setMouseCallback("Source", mouseHandler, NULL);
samples/cpp/dbt_face_detection.cpp
+1 -1
View File
@@ -49,7 +49,7 @@ int main(int , char** )
return 1;
}
std::string cascadeFrontalfilename = "../../data/lbpcascades/lbpcascade_frontalface.xml";
std::string cascadeFrontalfilename = samples::findFile("data/lbpcascades/lbpcascade_frontalface.xml");
cv::Ptr<cv::CascadeClassifier> cascade = makePtr<cv::CascadeClassifier>(cascadeFrontalfilename);
cv::Ptr<DetectionBasedTracker::IDetector> MainDetector = makePtr<CascadeDetectorAdapter>(cascade);
if ( cascade->empty() )
samples/cpp/demhist.cpp
+3 -3
View File
@@ -59,12 +59,12 @@ static void updateBrightnessContrast( int /*arg*/, void* )
static void help()
{
std::cout << "\nThis program demonstrates the use of calcHist() -- histogram creation.\n"
<< "Usage: \n" << "demhist [image_name -- Defaults to ../data/baboon.jpg]" << std::endl;
<< "Usage: \n" << "demhist [image_name -- Defaults to baboon.jpg]" << std::endl;
}
const char* keys =
{
"{help h||}{@image|../data/baboon.jpg|input image file}"
"{help h||}{@image|baboon.jpg|input image file}"
};
int main( int argc, const char** argv )
@@ -78,7 +78,7 @@ int main( int argc, const char** argv )
string inputImage = parser.get<string>(0);
// Load the source image. HighGUI use.
image = imread( inputImage, 0 );
image = imread(samples::findFile(inputImage), IMREAD_GRAYSCALE);
if(image.empty())
{
std::cerr << "Cannot read image file: " << inputImage << std::endl;
samples/cpp/detect_blob.cpp
+14 -12
View File
@@ -14,7 +14,7 @@ static void help()
{
cout << "\n This program demonstrates how to use BLOB to detect and filter region \n"
"Usage: \n"
" ./detect_blob <image1(../data/detect_blob.png as default)>\n"
" ./detect_blob <image1(detect_blob.png as default)>\n"
"Press a key when image window is active to change descriptor";
}
@@ -70,20 +70,19 @@ static String Legende(SimpleBlobDetector::Params &pAct)
int main(int argc, char *argv[])
{
vector<String> fileName;
Mat img(600, 800, CV_8UC1);
cv::CommandLineParser parser(argc, argv, "{@input |../data/detect_blob.png| }{h help | | }");
String fileName;
cv::CommandLineParser parser(argc, argv, "{@input |detect_blob.png| }{h help | | }");
if (parser.has("h"))
{
help();
return 0;
}
fileName.push_back(parser.get<string>("@input"));
img = imread(fileName[0], IMREAD_COLOR);
if (img.rows*img.cols <= 0)
fileName = parser.get<string>("@input");
Mat img = imread(samples::findFile(fileName), IMREAD_COLOR);
if (img.empty())
{
cout << "Image " << fileName[0] << " is empty or cannot be found\n";
return(0);
cout << "Image " << fileName << " is empty or cannot be found\n";
return 1;
}
SimpleBlobDetector::Params pDefaultBLOB;
@@ -116,14 +115,17 @@ int main(int argc, char *argv[])
vector< Vec3b > palette;
for (int i = 0; i<65536; i++)
{
palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand()));
uchar c1 = (uchar)rand();
uchar c2 = (uchar)rand();
uchar c3 = (uchar)rand();
palette.push_back(Vec3b(c1, c2, c3));
}
help();
// These descriptors are going to be detecting and computing BLOBS with 6 different params
// Param for first BLOB detector we want all
typeDesc.push_back("BLOB"); // see http://docs.opencv.org/trunk/d0/d7a/classcv_1_1SimpleBlobDetector.html
typeDesc.push_back("BLOB"); // see http://docs.opencv.org/master/d0/d7a/classcv_1_1SimpleBlobDetector.html
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByArea = true;
pBLOB.back().minArea = 1;
@@ -150,7 +152,7 @@ int main(int argc, char *argv[])
pBLOB.back().filterByConvexity = true;
pBLOB.back().minConvexity = 0.;
pBLOB.back().maxConvexity = (float)0.9;
// Param for six BLOB detector we want blob with gravity center color equal to 0 bug #4321 must be fixed
// Param for six BLOB detector we want blob with gravity center color equal to 0
typeDesc.push_back("BLOB");
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByColor = true;
samples/cpp/detect_mser.cpp
+1 -1
View File
@@ -412,7 +412,7 @@ int main(int argc, char *argv[])
string input = parser.get<string>("@input");
if (!input.empty())
{
imgOrig = imread(input, IMREAD_GRAYSCALE);
imgOrig = imread(samples::findFile(input), IMREAD_GRAYSCALE);
blur(imgOrig, img, blurSize);
}
else
samples/cpp/dft.cpp
+3 -3
View File
@@ -14,12 +14,12 @@ static void help()
printf("\nThis program demonstrated the use of the discrete Fourier transform (dft)\n"
"The dft of an image is taken and it's power spectrum is displayed.\n"
"Usage:\n"
"./dft [image_name -- default ../data/lena.jpg]\n");
"./dft [image_name -- default lena.jpg]\n");
}
const char* keys =
{
"{help h||}{@image|../data/lena.jpg|input image file}"
"{help h||}{@image|lena.jpg|input image file}"
};
int main(int argc, const char ** argv)
@@ -32,7 +32,7 @@ int main(int argc, const char ** argv)
return 0;
}
string filename = parser.get<string>(0);
Mat img = imread(filename, IMREAD_GRAYSCALE);
Mat img = imread(samples::findFile(filename), IMREAD_GRAYSCALE);
if( img.empty() )
{
help();
samples/cpp/distrans.cpp
+3 -3
View File
@@ -91,7 +91,7 @@ static void help()
{
printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n"
"Usage:\n"
"./distrans [image_name -- default image is ../data/stuff.jpg]\n"
"./distrans [image_name -- default image is stuff.jpg]\n"
"\nHot keys: \n"
"\tESC - quit the program\n"
"\tC - use C/Inf metric\n"
@@ -107,7 +107,7 @@ static void help()
const char* keys =
{
"{help h||}{@image |../data/stuff.jpg|input image file}"
"{help h||}{@image |stuff.jpg|input image file}"
};
int main( int argc, const char** argv )
@@ -117,7 +117,7 @@ int main( int argc, const char** argv )
if (parser.has("help"))
return 0;
string filename = parser.get<string>(0);
gray = imread(filename, 0);
gray = imread(samples::findFile(filename), 0);
if(gray.empty())
{
printf("Cannot read image file: %s\n", filename.c_str());
samples/cpp/edge.cpp
+3 -3
View File
@@ -43,12 +43,12 @@ static void help()
{
printf("\nThis sample demonstrates Canny edge detection\n"
"Call:\n"
" /.edge [image_name -- Default is ../data/fruits.jpg]\n\n");
" /.edge [image_name -- Default is fruits.jpg]\n\n");
}
const char* keys =
{
"{help h||}{@image |../data/fruits.jpg|input image name}"
"{help h||}{@image |fruits.jpg|input image name}"
};
int main( int argc, const char** argv )
@@ -57,7 +57,7 @@ int main( int argc, const char** argv )
CommandLineParser parser(argc, argv, keys);
string filename = parser.get<string>(0);
image = imread(filename, IMREAD_COLOR);
image = imread(samples::findFile(filename), IMREAD_COLOR);
if(image.empty())
{
printf("Cannot read image file: %s\n", filename.c_str());
samples/cpp/facedetect.cpp
+24 -14
View File
@@ -18,7 +18,7 @@ static void help()
" [--try-flip]\n"
" [filename|camera_index]\n\n"
"see facedetect.cmd for one call:\n"
"./facedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml\" --scale=1.3\n\n"
"./facedetect --cascade=\"data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"data/haarcascades/haarcascade_eye_tree_eyeglasses.xml\" --scale=1.3\n\n"
"During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
}
@@ -41,8 +41,8 @@ int main( int argc, const char** argv )
cv::CommandLineParser parser(argc, argv,
"{help h||}"
"{cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{nested-cascade|../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}"
"{cascade|data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{nested-cascade|data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}"
"{scale|1|}{try-flip||}{@filename||}"
);
if (parser.has("help"))
@@ -62,9 +62,9 @@ int main( int argc, const char** argv )
parser.printErrors();
return 0;
}
if ( !nestedCascade.load( nestedCascadeName ) )
if (!nestedCascade.load(samples::findFileOrKeep(nestedCascadeName)))
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
if( !cascade.load( cascadeName ) )
if (!cascade.load(samples::findFile(cascadeName)))
{
cerr << "ERROR: Could not load classifier cascade" << endl;
help();
@@ -74,21 +74,31 @@ int main( int argc, const char** argv )
{
int camera = inputName.empty() ? 0 : inputName[0] - '0';
if(!capture.open(camera))
cout << "Capture from camera #" << camera << " didn't work" << endl;
}
else if( inputName.size() )
{
image = imread( inputName, 1 );
if( image.empty() )
{
if(!capture.open( inputName ))
cout << "Capture from camera #" << camera << " didn't work" << endl;
return 1;
}
}
else if (!inputName.empty())
{
image = imread(samples::findFileOrKeep(inputName), IMREAD_COLOR);
if (image.empty())
{
if (!capture.open(samples::findFileOrKeep(inputName)))
{
cout << "Could not read " << inputName << endl;
return 1;
}
}
}
else
{
image = imread( "../data/lena.jpg", 1 );
if(image.empty()) cout << "Couldn't read ../data/lena.jpg" << endl;
image = imread(samples::findFile("lena.jpg"), IMREAD_COLOR);
if (image.empty())
{
cout << "Couldn't read lena.jpg" << endl;
return 1;
}
}
if( capture.isOpened() )
samples/cpp/facial_features.cpp
+16 -12
View File
@@ -32,14 +32,14 @@ string face_cascade_path, eye_cascade_path, nose_cascade_path, mouth_cascade_pat
int main(int argc, char** argv)
{
cv::CommandLineParser parser(argc, argv,
"{eyes||}{nose||}{mouth||}{help h||}");
"{eyes||}{nose||}{mouth||}{help h||}{@image||}{@facexml||}");
if (parser.has("help"))
{
help();
return 0;
}
input_image_path = parser.get<string>(0);
face_cascade_path = parser.get<string>(1);
input_image_path = parser.get<string>("@image");
face_cascade_path = parser.get<string>("@facexml");
eye_cascade_path = parser.has("eyes") ? parser.get<string>("eyes") : "";
nose_cascade_path = parser.has("nose") ? parser.get<string>("nose") : "";
mouth_cascade_path = parser.has("mouth") ? parser.get<string>("mouth") : "";
@@ -50,7 +50,7 @@ int main(int argc, char** argv)
}
// Load image and cascade classifier files
Mat image;
image = imread(input_image_path);
image = imread(samples::findFile(input_image_path));
// Detect faces and facial features
vector<Rect_<int> > faces;
@@ -98,9 +98,10 @@ static void help()
static void detectFaces(Mat& img, vector<Rect_<int> >& faces, string cascade_path)
{
CascadeClassifier face_cascade;
face_cascade.load(cascade_path);
face_cascade.load(samples::findFile(cascade_path));
face_cascade.detectMultiScale(img, faces, 1.15, 3, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!face_cascade.empty())
face_cascade.detectMultiScale(img, faces, 1.15, 3, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}
@@ -186,26 +187,29 @@ static void detectFacialFeaures(Mat& img, const vector<Rect_<int> > faces, strin
static void detectEyes(Mat& img, vector<Rect_<int> >& eyes, string cascade_path)
{
CascadeClassifier eyes_cascade;
eyes_cascade.load(cascade_path);
eyes_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
eyes_cascade.detectMultiScale(img, eyes, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!eyes_cascade.empty())
eyes_cascade.detectMultiScale(img, eyes, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}
static void detectNose(Mat& img, vector<Rect_<int> >& nose, string cascade_path)
{
CascadeClassifier nose_cascade;
nose_cascade.load(cascade_path);
nose_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
nose_cascade.detectMultiScale(img, nose, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!nose_cascade.empty())
nose_cascade.detectMultiScale(img, nose, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}
static void detectMouth(Mat& img, vector<Rect_<int> >& mouth, string cascade_path)
{
CascadeClassifier mouth_cascade;
mouth_cascade.load(cascade_path);
mouth_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
mouth_cascade.detectMultiScale(img, mouth, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!mouth_cascade.empty())
mouth_cascade.detectMultiScale(img, mouth, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}
samples/cpp/falsecolor.cpp
+1 -1
View File
@@ -87,7 +87,7 @@ int main(int argc, char** argv)
Mat img;
if (argc > 1)
img = imread(argv[1], IMREAD_GRAYSCALE);
img = imread(samples::findFile(argv[1]), IMREAD_GRAYSCALE);
else
img = DrawMyImage(2,256);
samples/cpp/ffilldemo.cpp
+3 -3
View File
@@ -12,7 +12,7 @@ static void help()
{
cout << "\nThis program demonstrated the floodFill() function\n"
"Call:\n"
"./ffilldemo [image_name -- Default: ../data/fruits.jpg]\n" << endl;
"./ffilldemo [image_name -- Default: fruits.jpg]\n" << endl;
cout << "Hot keys: \n"
"\tESC - quit the program\n"
@@ -74,7 +74,7 @@ static void onMouse( int event, int x, int y, int, void* )
int main( int argc, char** argv )
{
cv::CommandLineParser parser (argc, argv,
"{help h | | show help message}{@image|../data/fruits.jpg| input image}"
"{help h | | show help message}{@image|fruits.jpg| input image}"
);
if (parser.has("help"))
{
@@ -82,7 +82,7 @@ int main( int argc, char** argv )
return 0;
}
string filename = parser.get<string>("@image");
image0 = imread(filename, 1);
image0 = imread(samples::findFile(filename), 1);
if( image0.empty() )
{
samples/cpp/filestorage.cpp
+2 -2
View File
@@ -92,8 +92,8 @@ int main(int ac, char** av)
cout << "writing images\n";
fs << "images" << "[";
fs << "image1.jpg" << "myfi.png" << "../data/baboon.jpg";
cout << "image1.jpg" << " myfi.png" << " ../data/baboon.jpg" << endl;
fs << "image1.jpg" << "myfi.png" << "baboon.jpg";
cout << "image1.jpg" << " myfi.png" << " baboon.jpg" << endl;
fs << "]";
samples/cpp/fitellipse.cpp
+3 -3
View File
@@ -171,7 +171,7 @@ static void help()
"contours and approximate it by ellipses. Three methods are used to find the \n"
"elliptical fits: fitEllipse, fitEllipseAMS and fitEllipseDirect.\n"
"Call:\n"
"./fitellipse [image_name -- Default ../data/stuff.jpg]\n" << endl;
"./fitellipse [image_name -- Default ellipses.jpg]\n" << endl;
}
int sliderPos = 70;
@@ -192,14 +192,14 @@ int main( int argc, char** argv )
fitEllipseAMSQ = true;
fitEllipseDirectQ = true;
cv::CommandLineParser parser(argc, argv,"{help h||}{@image|../data/ellipses.jpg|}");
cv::CommandLineParser parser(argc, argv,"{help h||}{@image|ellipses.jpg|}");
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@image");
image = imread(filename, 0);
image = imread(samples::findFile(filename), 0);
if( image.empty() )
{
cout << "Couldn't open image " << filename << "\n";
samples/cpp/grabcut.cpp
+2 -2
View File
@@ -276,7 +276,7 @@ static void on_mouse( int event, int x, int y, int flags, void* param )
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv, "{@input| ../data/messi5.jpg |}");
cv::CommandLineParser parser(argc, argv, "{@input| messi5.jpg |}");
help();
string filename = parser.get<string>("@input");
@@ -285,7 +285,7 @@ int main( int argc, char** argv )
cout << "\nDurn, empty filename" << endl;
return 1;
}
Mat image = imread( filename, 1 );
Mat image = imread(samples::findFile(filename), IMREAD_COLOR);
if( image.empty() )
{
cout << "\n Durn, couldn't read image filename " << filename << endl;
samples/cpp/image_alignment.cpp
+6 -6
View File
@@ -3,7 +3,7 @@
* findTransformECC that implements the image alignment ECC algorithm
*
*
* The demo loads an image (defaults to ../data/fruits.jpg) and it artificially creates
* The demo loads an image (defaults to fruits.jpg) and it artificially creates
* a template image based on the given motion type. When two images are given,
* the first image is the input image and the second one defines the template image.
* In the latter case, you can also parse the warp's initialization.
@@ -44,7 +44,7 @@ static void draw_warped_roi(Mat& image, const int width, const int height, Mat&
const std::string keys =
"{@inputImage | ../data/fruits.jpg | input image filename }"
"{@inputImage | fruits.jpg | input image filename }"
"{@templateImage | | template image filename (optional)}"
"{@inputWarp | | input warp (matrix) filename (optional)}"
"{n numOfIter | 50 | ECC's iterations }"
@@ -65,10 +65,10 @@ static void help(void)
" are given, the initialization of the warp by command line parsing is possible. "
"If inputWarp is missing, the identity transformation initializes the algorithm. \n" << endl;
cout << "\nUsage example (one image): \n./ecc ../data/fruits.jpg -o=outWarp.ecc "
cout << "\nUsage example (one image): \n./image_alignment fruits.jpg -o=outWarp.ecc "
"-m=euclidean -e=1e-6 -N=70 -v=1 \n" << endl;
cout << "\nUsage example (two images with initialization): \n./ecc yourInput.png yourTemplate.png "
cout << "\nUsage example (two images with initialization): \n./image_alignment yourInput.png yourTemplate.png "
"yourInitialWarp.ecc -o=outWarp.ecc -m=homography -e=1e-6 -N=70 -v=1 -w=yourFinalImage.png \n" << endl;
}
@@ -212,7 +212,7 @@ int main (const int argc, const char * argv[])
else
mode_temp = MOTION_HOMOGRAPHY;
Mat inputImage = imread(imgFile,0);
Mat inputImage = imread(samples::findFile(imgFile), IMREAD_GRAYSCALE);
if (inputImage.empty())
{
cerr << "Unable to load the inputImage" << endl;
@@ -224,7 +224,7 @@ int main (const int argc, const char * argv[])
if (tempImgFile!="") {
inputImage.copyTo(target_image);
template_image = imread(tempImgFile,0);
template_image = imread(samples::findFile(tempImgFile), IMREAD_GRAYSCALE);
if (template_image.empty()){
cerr << "Unable to load the template image" << endl;
return -1;
samples/cpp/starter_imagelist.cpp → samples/cpp/imagelist_reader.cpp
+4 -11
View File
@@ -1,6 +1,4 @@
/*
* starter_imagelist.cpp
*
* Created on: Nov 23, 2010
* Author: Ethan Rublee
*
@@ -16,10 +14,7 @@
using namespace cv;
using namespace std;
//hide the local functions in an unnamed namespace
namespace
{
void help(char** av)
static void help(char** av)
{
cout << "\nThis program gets you started being able to read images from a list in a file\n"
"Usage:\n./" << av[0] << " image_list.yaml\n"
@@ -30,7 +25,7 @@ void help(char** av)
"Using OpenCV version %s\n" << CV_VERSION << "\n" << endl;
}
bool readStringList(const string& filename, vector<string>& l)
static bool readStringList(const string& filename, vector<string>& l)
{
l.resize(0);
FileStorage fs(filename, FileStorage::READ);
@@ -45,7 +40,7 @@ bool readStringList(const string& filename, vector<string>& l)
return true;
}
int process(vector<string> images)
static int process(const vector<string>& images)
{
namedWindow("image", WINDOW_KEEPRATIO); //resizable window;
for (size_t i = 0; i < images.size(); i++)
@@ -53,13 +48,11 @@ int process(vector<string> images)
Mat image = imread(images[i], IMREAD_GRAYSCALE); // do grayscale processing?
imshow("image",image);
cout << "Press a key to see the next image in the list." << endl;
waitKey(); // wait indefinitely for a key to be pressed
waitKey(); // wait infinitely for a key to be pressed
}
return 0;
}
}
int main(int ac, char** av)
{
cv::CommandLineParser parser(ac, av, "{help h||}{@input||}");
samples/cpp/inpaint.cpp
+6 -6
View File
@@ -14,7 +14,7 @@ static void help()
<< "with surrounding image areas.\n"
"Using OpenCV version %s\n" << CV_VERSION << "\n"
"Usage:\n"
"./inpaint [image_name -- Default ../data/fruits.jpg]\n" << endl;
"./inpaint [image_name -- Default fruits.jpg]\n" << endl;
cout << "Hot keys: \n"
"\tESC - quit the program\n"
@@ -47,24 +47,24 @@ static void onMouse( int event, int x, int y, int flags, void* )
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv, "{@image|../data/fruits.jpg|}");
cv::CommandLineParser parser(argc, argv, "{@image|fruits.jpg|}");
help();
string filename = parser.get<string>("@image");
Mat img0 = imread(filename, -1);
string filename = samples::findFile(parser.get<string>("@image"));
Mat img0 = imread(filename, IMREAD_COLOR);
if(img0.empty())
{
cout << "Couldn't open the image " << filename << ". Usage: inpaint <image_name>\n" << endl;
return 0;
}
namedWindow( "image", 1 );
namedWindow("image", WINDOW_AUTOSIZE);
img = img0.clone();
inpaintMask = Mat::zeros(img.size(), CV_8U);
imshow("image", img);
setMouseCallback( "image", onMouse, 0 );
setMouseCallback( "image", onMouse, NULL);
for(;;)
{
samples/cpp/laplace.cpp
+29 -22
View File
@@ -25,39 +25,46 @@ int smoothType = GAUSSIAN;
int main( int argc, char** argv )
{
VideoCapture cap;
cv::CommandLineParser parser(argc, argv, "{ c | 0 | }{ p | | }");
help();
if( parser.get<string>("c").size() == 1 && isdigit(parser.get<string>("c")[0]) )
VideoCapture cap;
string camera = parser.get<string>("c");
if (camera.size() == 1 && isdigit(camera[0]))
cap.open(parser.get<int>("c"));
else
cap.open(parser.get<string>("c"));
if( cap.isOpened() )
cout << "Video " << parser.get<string>("c") <<
": width=" << cap.get(CAP_PROP_FRAME_WIDTH) <<
", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) <<
", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl;
if( parser.has("p") )
cap.open(samples::findFileOrKeep(camera));
if (!cap.isOpened())
{
int pos = parser.get<int>("p");
if (!parser.check())
{
parser.printErrors();
return -1;
}
cout << "seeking to frame #" << pos << endl;
cap.set(CAP_PROP_POS_FRAMES, pos);
cerr << "Can't open camera/video stream: " << camera << endl;
return 1;
}
if( !cap.isOpened() )
cout << "Video " << parser.get<string>("c") <<
": width=" << cap.get(CAP_PROP_FRAME_WIDTH) <<
", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) <<
", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl;
int pos = 0;
if (parser.has("p"))
{
cout << "Could not initialize capturing...\n";
pos = parser.get<int>("p");
}
if (!parser.check())
{
parser.printErrors();
return -1;
}
namedWindow( "Laplacian", 0 );
createTrackbar( "Sigma", "Laplacian", &sigma, 15, 0 );
if (pos != 0)
{
cout << "seeking to frame #" << pos << endl;
if (!cap.set(CAP_PROP_POS_FRAMES, pos))
{
cerr << "ERROR: seekeing is not supported" << endl;
}
}
namedWindow("Laplacian", WINDOW_AUTOSIZE);
createTrackbar("Sigma", "Laplacian", &sigma, 15, 0);
Mat smoothed, laplace, result;
samples/cpp/letter_recog.cpp
+3 -3
View File
@@ -520,13 +520,13 @@ int main( int argc, char *argv[] )
string data_filename;
int method = 0;
cv::CommandLineParser parser(argc, argv, "{data|../data/letter-recognition.data|}{save||}{load||}{boost||}"
cv::CommandLineParser parser(argc, argv, "{data|letter-recognition.data|}{save||}{load||}{boost||}"
"{mlp||}{knn knearest||}{nbayes||}{svm||}");
data_filename = parser.get<string>("data");
data_filename = samples::findFile(parser.get<string>("data"));
if (parser.has("save"))
filename_to_save = parser.get<string>("save");
if (parser.has("load"))
filename_to_load = parser.get<string>("load");
filename_to_load = samples::findFile(parser.get<string>("load"));
if (parser.has("boost"))
method = 1;
else if (parser.has("mlp"))
samples/cpp/logistic_regression.cpp
+1 -1
View File
@@ -83,7 +83,7 @@ static float calculateAccuracyPercent(const Mat &original, const Mat &predicted)
int main()
{
const String filename = "../data/data01.xml";
const String filename = samples::findFile("data01.xml");
cout << "**********************************************************************" << endl;
cout << filename
<< " contains digits 0 and 1 of 20 samples each, collected on an Android device" << endl;
samples/cpp/lsd_lines.cpp
+2 -2
View File
@@ -9,7 +9,7 @@ using namespace cv;
int main(int argc, char** argv)
{
cv::CommandLineParser parser(argc, argv,
"{input i|../data/building.jpg|input image}"
"{input i|building.jpg|input image}"
"{refine r|false|if true use LSD_REFINE_STD method, if false use LSD_REFINE_NONE method}"
"{canny c|false|use Canny edge detector}"
"{overlay o|false|show result on input image}"
@@ -23,7 +23,7 @@ int main(int argc, char** argv)
parser.printMessage();
String filename = parser.get<String>("input");
String filename = samples::findFile(parser.get<String>("input"));
bool useRefine = parser.get<bool>("refine");
bool useCanny = parser.get<bool>("canny");
bool overlay = parser.get<bool>("overlay");
samples/cpp/mask_tmpl.cpp
+17 -7
View File
@@ -8,17 +8,27 @@ using namespace cv;
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv,
"{ i | ../data/lena_tmpl.jpg |image name }"
"{ t | ../data/tmpl.png |template name }"
"{ m | ../data/mask.png |mask name }"
"{ i | lena_tmpl.jpg |image name }"
"{ t | tmpl.png |template name }"
"{ m | mask.png |mask name }"
"{ cm| 3 |comparison method }");
cout << "This program demonstrates the use of template matching with mask.\n\n";
cout << "This program demonstrates the use of template matching with mask." << endl
<< endl
<< "Available methods: https://docs.opencv.org/master/df/dfb/group__imgproc__object.html#ga3a7850640f1fe1f58fe91a2d7583695d" << endl
<< " TM_SQDIFF = " << (int)TM_SQDIFF << endl
<< " TM_SQDIFF_NORMED = " << (int)TM_SQDIFF_NORMED << endl
<< " TM_CCORR = " << (int)TM_CCORR << endl
<< " TM_CCORR_NORMED = " << (int)TM_CCORR_NORMED << endl
<< " TM_CCOEFF = " << (int)TM_CCOEFF << endl
<< " TM_CCOEFF_NORMED = " << (int)TM_CCOEFF_NORMED << endl
<< endl;
parser.printMessage();
string filename = parser.get<string>("i");
string tmplname = parser.get<string>("t");
string maskname = parser.get<string>("m");
string filename = samples::findFile(parser.get<string>("i"));
string tmplname = samples::findFile(parser.get<string>("t"));
string maskname = samples::findFile(parser.get<string>("m"));
Mat img = imread(filename);
Mat tmpl = imread(tmplname);
Mat mask = imread(maskname);
samples/cpp/matchmethod_orb_akaze_brisk.cpp
+19 -19
View File
@@ -12,7 +12,7 @@ static void help()
{
cout << "\n This program demonstrates how to detect compute and match ORB BRISK and AKAZE descriptors \n"
"Usage: \n"
" ./matchmethod_orb_akaze_brisk --image1=<image1(../data/basketball1.png as default)> --image2=<image2(../data/basketball2.png as default)>\n"
" ./matchmethod_orb_akaze_brisk --image1=<image1(basketball1.png as default)> --image2=<image2(basketball2.png as default)>\n"
"Press a key when image window is active to change algorithm or descriptor";
}
@@ -28,34 +28,34 @@ int main(int argc, char *argv[])
typeDesc.push_back("AKAZE"); // see http://docs.opencv.org/trunk/d8/d30/classcv_1_1AKAZE.html
typeDesc.push_back("ORB"); // see http://docs.opencv.org/trunk/de/dbf/classcv_1_1BRISK.html
typeDesc.push_back("BRISK"); // see http://docs.opencv.org/trunk/db/d95/classcv_1_1ORB.html
// This algorithm would be used to match descriptors see http://docs.opencv.org/trunk/db/d39/classcv_1_1DescriptorMatcher.html#ab5dc5036569ecc8d47565007fa518257
// This algorithm would be used to match descriptors see http://docs.opencv.org/trunk/db/d39/classcv_1_1DescriptorMatcher.html#ab5dc5036569ecc8d47565007fa518257
typeAlgoMatch.push_back("BruteForce");
typeAlgoMatch.push_back("BruteForce-L1");
typeAlgoMatch.push_back("BruteForce-Hamming");
typeAlgoMatch.push_back("BruteForce-Hamming(2)");
cv::CommandLineParser parser(argc, argv,
"{ @image1 | ../data/basketball1.png | }"
"{ @image2 | ../data/basketball2.png | }"
"{ @image1 | basketball1.png | }"
"{ @image2 | basketball2.png | }"
"{help h ||}");
if (parser.has("help"))
{
help();
return 0;
}
fileName.push_back(parser.get<string>(0));
fileName.push_back(parser.get<string>(1));
fileName.push_back(samples::findFile(parser.get<string>(0)));
fileName.push_back(samples::findFile(parser.get<string>(1)));
Mat img1 = imread(fileName[0], IMREAD_GRAYSCALE);
Mat img2 = imread(fileName[1], IMREAD_GRAYSCALE);
if (img1.rows*img1.cols <= 0)
{
cout << "Image " << fileName[0] << " is empty or cannot be found\n";
return(0);
}
if (img2.rows*img2.cols <= 0)
{
cout << "Image " << fileName[1] << " is empty or cannot be found\n";
return(0);
}
if (img1.empty())
{
cerr << "Image " << fileName[0] << " is empty or cannot be found" << endl;
return 1;
}
if (img2.empty())
{
cerr << "Image " << fileName[1] << " is empty or cannot be found" << endl;
return 1;
}
vector<double> desMethCmp;
Ptr<Feature2D> b;
@@ -74,10 +74,10 @@ int main(int argc, char *argv[])
vector<String>::iterator itMatcher = typeAlgoMatch.end();
if (*itDesc == "AKAZE-DESCRIPTOR_KAZE_UPRIGHT"){
b = AKAZE::create(AKAZE::DESCRIPTOR_KAZE_UPRIGHT);
}
}
if (*itDesc == "AKAZE"){
b = AKAZE::create();
}
}
if (*itDesc == "ORB"){
b = ORB::create();
}
@@ -157,12 +157,12 @@ int main(int argc, char *argv[])
}
catch (const Exception& e)
{
cerr << "Exception: " << e.what() << endl;
cout << "Feature : " << *itDesc << "\n";
if (itMatcher != typeAlgoMatch.end())
{
cout << "Matcher : " << *itMatcher << "\n";
}
cout << e.msg << endl;
}
}
int i=0;
samples/cpp/minarea.cpp
+1 -1
View File
@@ -18,7 +18,7 @@ int main( int /*argc*/, char** /*argv*/ )
{
help();
Mat img(500, 500, CV_8UC3);
Mat img(500, 500, CV_8UC3, Scalar::all(0));
RNG& rng = theRNG();
for(;;)
samples/cpp/morphology2.cpp
+13 -6
View File
@@ -33,8 +33,8 @@ int erode_dilate_pos = 0;
// callback function for open/close trackbar
static void OpenClose(int, void*)
{
int n = open_close_pos - max_iters;
int an = n > 0 ? n : -n;
int n = open_close_pos;
int an = abs(n);
Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) );
if( n < 0 )
morphologyEx(src, dst, MORPH_OPEN, element);
@@ -46,8 +46,8 @@ static void OpenClose(int, void*)
// callback function for erode/dilate trackbar
static void ErodeDilate(int, void*)
{
int n = erode_dilate_pos - max_iters;
int an = n > 0 ? n : -n;
int n = erode_dilate_pos;
int an = abs(n);
Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) );
if( n < 0 )
erode(src, dst, element);
@@ -59,13 +59,13 @@ static void ErodeDilate(int, void*)
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv, "{help h||}{ @image | ../data/baboon.jpg | }");
cv::CommandLineParser parser(argc, argv, "{help h||}{ @image | baboon.jpg | }");
if (parser.has("help"))
{
help();
return 0;
}
std::string filename = parser.get<std::string>("@image");
std::string filename = samples::findFile(parser.get<std::string>("@image"));
if( (src = imread(filename,IMREAD_COLOR)).empty() )
{
help();
@@ -78,7 +78,14 @@ int main( int argc, char** argv )
open_close_pos = erode_dilate_pos = max_iters;
createTrackbar("iterations", "Open/Close",&open_close_pos,max_iters*2+1,OpenClose);
setTrackbarMin("iterations", "Open/Close", -max_iters);
setTrackbarMax("iterations", "Open/Close", max_iters);
setTrackbarPos("iterations", "Open/Close", 0);
createTrackbar("iterations", "Erode/Dilate",&erode_dilate_pos,max_iters*2+1,ErodeDilate);
setTrackbarMin("iterations", "Erode/Dilate", -max_iters);
setTrackbarMax("iterations", "Erode/Dilate", max_iters);
setTrackbarPos("iterations", "Erode/Dilate", 0);
for(;;)
{
samples/cpp/npr_demo.cpp
+5 -9
View File
@@ -28,26 +28,22 @@ using namespace cv;
int main(int argc, char* argv[])
{
cv::CommandLineParser parser(argc, argv, "{help h||show help message}{@image|../data/lena.jpg|input image}");
cv::CommandLineParser parser(argc, argv, "{help h||show help message}{@image|lena.jpg|input image}");
if (parser.has("help"))
{
parser.printMessage();
exit(0);
}
if (parser.get<string>("@image").empty())
{
parser.printMessage();
exit(0);
return 0;
}
string filename = samples::findFile(parser.get<string>("@image"));
Mat I = imread(parser.get<string>("@image"));
Mat I = imread(filename);
int num,type;
if(I.empty())
{
cout << "Image not found" << endl;
exit(0);
return 1;
}
cout << endl;
samples/cpp/peopledetect.cpp
+4 -1
View File
@@ -72,7 +72,10 @@ int main(int argc, char** argv)
if (file.empty())
cap.open(camera);
else
cap.open(file.c_str());
{
file = samples::findFileOrKeep(file);
cap.open(file);
}
if (!cap.isOpened())
{
cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl;
samples/cpp/points_classifier.cpp
-5
View File
@@ -2,11 +2,6 @@
#include "opencv2/imgproc.hpp"
#include "opencv2/ml.hpp"
#include "opencv2/highgui.hpp"
#ifdef HAVE_OPENCV_OCL
#define _OCL_KNN_ 1 // select whether using ocl::KNN method or not, default is using
#define _OCL_SVM_ 1 // select whether using ocl::svm method or not, default is using
#include "opencv2/ocl/ocl.hpp"
#endif
#include <stdio.h>
samples/cpp/polar_transforms.cpp
+1 -1
View File
@@ -24,7 +24,7 @@ int main( int argc, char** argv )
if( arg.size() == 1 && isdigit(arg[0]) )
capture.open( arg[0] - '0' );
else
capture.open( arg.c_str() );
capture.open(samples::findFileOrKeep(arg));
if( !capture.isOpened() )
{
samples/cpp/live_detect_qrcode.cpp → samples/cpp/qrcode.cpp
+52 -54
View File
@@ -7,10 +7,10 @@
using namespace std;
using namespace cv;
void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform);
void getMatWithFPS(Mat &color_image, double fps);
int liveQRCodeDetect();
int showImageQRCodeDetect(string in, string out);
static void drawQRCodeContour(Mat &color_image, vector<Point> transform);
static void drawFPS(Mat &color_image, double fps);
static int liveQRCodeDetect(const string& out_file);
static int imageQRCodeDetect(const string& in_file, const string& out_file);
int main(int argc, char *argv[])
{
@@ -28,7 +28,9 @@ int main(int argc, char *argv[])
}
string in_file_name = cmd_parser.get<string>("in"); // input path to image
string out_file_name = cmd_parser.get<string>("out"); // output path to image
string out_file_name;
if (cmd_parser.has("out"))
out_file_name = cmd_parser.get<string>("out"); // output path to image
if (!cmd_parser.check())
{
@@ -39,16 +41,16 @@ int main(int argc, char *argv[])
int return_code = 0;
if (in_file_name.empty())
{
return_code = liveQRCodeDetect();
return_code = liveQRCodeDetect(out_file_name);
}
else
{
return_code = showImageQRCodeDetect(in_file_name, out_file_name);
return_code = imageQRCodeDetect(samples::findFile(in_file_name), out_file_name);
}
return return_code;
}
void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform)
void drawQRCodeContour(Mat &color_image, vector<Point> transform)
{
if (!transform.empty())
{
@@ -70,19 +72,19 @@ void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform)
}
}
void getMatWithFPS(Mat &color_image, double fps)
void drawFPS(Mat &color_image, double fps)
{
ostringstream convert;
convert << cvRound(fps) << " FPS.";
convert << cvRound(fps) << " FPS (QR detection)";
putText(color_image, convert.str(), Point(25, 25), FONT_HERSHEY_DUPLEX, 1, Scalar(0, 0, 255), 2);
}
int liveQRCodeDetect()
int liveQRCodeDetect(const string& out_file)
{
VideoCapture cap(0);
if(!cap.isOpened())
{
cout << "Cannot open a camera" << '\n';
cout << "Cannot open a camera" << endl;
return -4;
}
@@ -94,7 +96,11 @@ int liveQRCodeDetect()
string decode_info;
vector<Point> transform;
cap >> frame;
if(frame.empty()) { break; }
if (frame.empty())
{
cout << "End of video stream" << endl;
break;
}
cvtColor(frame, src, COLOR_BGR2GRAY);
total.start();
@@ -102,24 +108,30 @@ int liveQRCodeDetect()
if (result_detection)
{
decode_info = qrcode.decode(src, transform, straight_barcode);
if (!decode_info.empty()) { cout << decode_info << '\n'; }
if (!decode_info.empty()) { cout << decode_info << endl; }
}
total.stop();
double fps = 1 / total.getTimeSec();
total.reset();
if (result_detection) { getMatWithQRCodeContour(frame, transform); }
getMatWithFPS(frame, fps);
if (result_detection) { drawQRCodeContour(frame, transform); }
drawFPS(frame, fps);
imshow("Live QR code detector", frame);
if( waitKey(30) > 0 ) { break; }
char c = (char)waitKey(30);
if (c == 27)
break;
if (c == ' ' && !out_file.empty())
imwrite(out_file, frame); // TODO write original frame too
}
return 0;
}
int showImageQRCodeDetect(string in, string out)
int imageQRCodeDetect(const string& in_file, const string& out_file)
{
Mat src = imread(in, IMREAD_GRAYSCALE), straight_barcode;
Mat color_src = imread(in_file, IMREAD_COLOR), src;
cvtColor(color_src, src, COLOR_BGR2GRAY);
Mat straight_barcode;
string decoded_info;
vector<Point> transform;
const int count_experiments = 10;
@@ -135,54 +147,40 @@ int showImageQRCodeDetect(string in, string out)
total.stop();
transform_time += total.getTimeSec();
total.reset();
if (!result_detection) { break; }
if (!result_detection)
continue;
total.start();
decoded_info = qrcode.decode(src, transform, straight_barcode);
total.stop();
transform_time += total.getTimeSec();
total.reset();
if (decoded_info.empty()) { break; }
}
double fps = count_experiments / transform_time;
if (!result_detection) { cout << "QR code not found\n"; return -2; }
if (decoded_info.empty()) { cout << "QR code cannot be decoded\n"; return -3; }
if (!result_detection)
cout << "QR code not found" << endl;
if (decoded_info.empty())
cout << "QR code cannot be decoded" << endl;
Mat color_src = imread(in);
getMatWithQRCodeContour(color_src, transform);
getMatWithFPS(color_src, fps);
drawQRCodeContour(color_src, transform);
drawFPS(color_src, fps);
cout << "Input image file path: " << in_file << endl;
cout << "Output image file path: " << out_file << endl;
cout << "Size: " << color_src.size() << endl;
cout << "FPS: " << fps << endl;
cout << "Decoded info: " << decoded_info << endl;
if (!out_file.empty())
{
imwrite(out_file, color_src);
}
for(;;)
{
imshow("Detect QR code on image", color_src);
if( waitKey(30) > 0 ) { break; }
}
if (!out.empty())
{
getMatWithQRCodeContour(color_src, transform);
getMatWithFPS(color_src, fps);
cout << "Input image file path: " << in << '\n';
cout << "Output image file path: " << out << '\n';
cout << "Size: " << color_src.size() << '\n';
cout << "FPS: " << fps << '\n';
cout << "Decoded info: " << decoded_info << '\n';
vector<int> compression_params;
compression_params.push_back(IMWRITE_PNG_COMPRESSION);
compression_params.push_back(9);
try
{
imwrite(out, color_src, compression_params);
}
catch (const cv::Exception& ex)
{
cout << "Exception converting image to PNG format: ";
cout << ex.what() << '\n';
return -3;
}
if (waitKey(0) == 27)
break;
}
return 0;
}
samples/cpp/segment_objects.cpp
+1 -1
View File
@@ -73,7 +73,7 @@ int main(int argc, char** argv)
if (input.empty())
cap.open(0);
else
cap.open(input);
cap.open(samples::findFileOrKeep(input));
if( !cap.isOpened() )
{
samples/cpp/select3dobj.cpp
+1 -1
View File
@@ -416,7 +416,7 @@ int main(int argc, char** argv)
if ( parser.get<string>("@input").size() == 1 && isdigit(parser.get<string>("@input")[0]) )
cameraId = parser.get<int>("@input");
else
inputName = parser.get<string>("@input");
inputName = samples::findFileOrKeep(parser.get<string>("@input"));
if (!parser.check())
{
puts(help);
samples/cpp/smiledetect.cpp
+6 -5
View File
@@ -16,7 +16,7 @@ static void help()
" [--try-flip]\n"
" [video_filename|camera_index]\n\n"
"Example:\n"
"./smiledetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --smile-cascade=\"../../data/haarcascades/haarcascade_smile.xml\" --scale=2.0\n\n"
"./smiledetect --cascade=\"data/haarcascades/haarcascade_frontalface_alt.xml\" --smile-cascade=\"data/haarcascades/haarcascade_smile.xml\" --scale=2.0\n\n"
"During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
}
@@ -41,16 +41,16 @@ int main( int argc, const char** argv )
double scale;
cv::CommandLineParser parser(argc, argv,
"{help h||}{scale|1|}"
"{cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{smile-cascade|../../data/haarcascades/haarcascade_smile.xml|}"
"{cascade|data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{smile-cascade|data/haarcascades/haarcascade_smile.xml|}"
"{try-flip||}{@input||}");
if (parser.has("help"))
{
help();
return 0;
}
cascadeName = parser.get<string>("cascade");
nestedCascadeName = parser.get<string>("smile-cascade");
cascadeName = samples::findFile(parser.get<string>("cascade"));
nestedCascadeName = samples::findFile(parser.get<string>("smile-cascade"));
tryflip = parser.has("try-flip");
inputName = parser.get<string>("@input");
scale = parser.get<int>("scale");
@@ -81,6 +81,7 @@ int main( int argc, const char** argv )
}
else if( inputName.size() )
{
inputName = samples::findFileOrKeep(inputName);
if(!capture.open( inputName ))
cout << "Could not read " << inputName << endl;
}
samples/cpp/squares.cpp
+5 -4
View File
@@ -138,8 +138,8 @@ static void drawSquares( Mat& image, const vector<vector<Point> >& squares )
int main(int argc, char** argv)
{
static const char* names[] = { "../data/pic1.png", "../data/pic2.png", "../data/pic3.png",
"../data/pic4.png", "../data/pic5.png", "../data/pic6.png", 0 };
static const char* names[] = { "data/pic1.png", "data/pic2.png", "data/pic3.png",
"data/pic4.png", "data/pic5.png", "data/pic6.png", 0 };
help(argv[0]);
if( argc > 1)
@@ -152,10 +152,11 @@ int main(int argc, char** argv)
for( int i = 0; names[i] != 0; i++ )
{
Mat image = imread(names[i], IMREAD_COLOR);
string filename = samples::findFile(names[i]);
Mat image = imread(filename, IMREAD_COLOR);
if( image.empty() )
{
cout << "Couldn't load " << names[i] << endl;
cout << "Couldn't load " << filename << endl;
continue;
}
samples/cpp/stereo_calib.cpp
+4 -5
View File
@@ -18,7 +18,6 @@
Homepage: http://opencv.org
Online docs: http://docs.opencv.org
Q&A forum: http://answers.opencv.org
Issue tracker: http://code.opencv.org
GitHub: https://github.com/opencv/opencv/
************************************************** */
@@ -46,11 +45,11 @@ static int print_help()
" on the chessboards, and a flag: useCalibrated for \n"
" calibrated (0) or\n"
" uncalibrated \n"
" (1: use cvStereoCalibrate(), 2: compute fundamental\n"
" (1: use stereoCalibrate(), 2: compute fundamental\n"
" matrix separately) stereo. \n"
" Calibrate the cameras and display the\n"
" rectified results along with the computed disparity images. \n" << endl;
cout << "Usage:\n ./stereo_calib -w=<board_width default=9> -h=<board_height default=6> -s=<square_size default=1.0> <image list XML/YML file default=../data/stereo_calib.xml>\n" << endl;
cout << "Usage:\n ./stereo_calib -w=<board_width default=9> -h=<board_height default=6> -s=<square_size default=1.0> <image list XML/YML file default=stereo_calib.xml>\n" << endl;
return 0;
}
@@ -347,11 +346,11 @@ int main(int argc, char** argv)
Size boardSize;
string imagelistfn;
bool showRectified;
cv::CommandLineParser parser(argc, argv, "{w|9|}{h|6|}{s|1.0|}{nr||}{help||}{@input|../data/stereo_calib.xml|}");
cv::CommandLineParser parser(argc, argv, "{w|9|}{h|6|}{s|1.0|}{nr||}{help||}{@input|stereo_calib.xml|}");
if (parser.has("help"))
return print_help();
showRectified = !parser.has("nr");
imagelistfn = parser.get<string>("@input");
imagelistfn = samples::findFile(parser.get<string>("@input"));
boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h");
float squareSize = parser.get<float>("s");
samples/cpp/stereo_match.cpp
+2 -2
View File
@@ -65,8 +65,8 @@ int main(int argc, char** argv)
print_help();
return 0;
}
img1_filename = parser.get<std::string>(0);
img2_filename = parser.get<std::string>(1);
img1_filename = samples::findFile(parser.get<std::string>(0));
img2_filename = samples::findFile(parser.get<std::string>(1));
if (parser.has("algorithm"))
{
std::string _alg = parser.get<std::string>("algorithm");
samples/cpp/stitching.cpp
+1 -1
View File
@@ -95,7 +95,7 @@ int parseCmdArgs(int argc, char** argv)
}
else
{
Mat img = imread(argv[i]);
Mat img = imread(samples::findFile(argv[i]));
if (img.empty())
{
cout << "Can't read image '" << argv[i] << "'\n";
samples/cpp/stitching_detailed.cpp
+2 -2
View File
@@ -406,7 +406,7 @@ int main(int argc, char* argv[])
for (int i = 0; i < num_images; ++i)
{
full_img = imread(img_names[i]);
full_img = imread(samples::findFile(img_names[i]));
full_img_sizes[i] = full_img.size();
if (full_img.empty())
@@ -727,7 +727,7 @@ int main(int argc, char* argv[])
LOGLN("Compositing image #" << indices[img_idx]+1);
// Read image and resize it if necessary
full_img = imread(img_names[img_idx]);
full_img = imread(samples::findFile(img_names[img_idx]));
if (!is_compose_scale_set)
{
if (compose_megapix > 0)
samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/main_detection.cpp
+1 -1
View File
@@ -2,7 +2,7 @@
#include <iostream>
#include <time.h>
// OpenCV
#include <opencv2//core.hpp>
#include <opencv2/core.hpp>
#include <opencv2/core/utility.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
samples/cpp/autofocus.cpp → samples/cpp/videocapture_gphoto2_autofocus.cpp
View File
samples/cpp/gstreamer_pipeline.cpp → samples/cpp/videocapture_gstreamer_pipeline.cpp
+1
View File
@@ -266,6 +266,7 @@ int main(int argc, char *argv[])
cout << "Unsupported mode: " << mode << endl;
return -1;
}
file_name = samples::findFile(file_name);
cout << "Mode: " << mode << ", Backend: " << backend << ", File: " << file_name << ", Codec: " << codec << endl;
TickMeter total;
samples/cpp/image_sequence.cpp → samples/cpp/videocapture_image_sequence.cpp
View File
samples/cpp/intelperc_capture.cpp → samples/cpp/videocapture_intelperc.cpp
-3
View File
@@ -1,6 +1,3 @@
// testOpenCVCam.cpp : Defines the entry point for the console application.
//
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
samples/cpp/openni_capture.cpp → samples/cpp/videocapture_openni.cpp
View File
samples/cpp/warpPerspective_demo.cpp
+3 -3
View File
@@ -20,7 +20,7 @@ static void help(char** argv)
cout << "\nThis is a demo program shows how perspective transformation applied on an image, \n"
"Using OpenCV version " << CV_VERSION << endl;
cout << "\nUsage:\n" << argv[0] << " [image_name -- Default ../data/right.jpg]\n" << endl;
cout << "\nUsage:\n" << argv[0] << " [image_name -- Default data/right.jpg]\n" << endl;
cout << "\nHot keys: \n"
"\tESC, q - quit the program\n"
@@ -45,9 +45,9 @@ bool validation_needed = true;
int main(int argc, char** argv)
{
help(argv);
CommandLineParser parser(argc, argv, "{@input| ../data/right.jpg |}");
CommandLineParser parser(argc, argv, "{@input| data/right.jpg |}");
string filename = parser.get<string>("@input");
string filename = samples::findFile(parser.get<string>("@input"));
Mat original_image = imread( filename );
Mat image;
samples/cpp/watershed.cpp
+4 -4
View File
@@ -13,7 +13,7 @@ static void help()
{
cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\n"
"Usage:\n"
"./watershed [image_name -- default is ../data/fruits.jpg]\n" << endl;
"./watershed [image_name -- default is fruits.jpg]\n" << endl;
cout << "Hot keys: \n"
@@ -48,18 +48,18 @@ static void onMouse( int event, int x, int y, int flags, void* )
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv, "{help h | | }{ @input | ../data/fruits.jpg | }");
cv::CommandLineParser parser(argc, argv, "{help h | | }{ @input | fruits.jpg | }");
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@input");
string filename = samples::findFile(parser.get<string>("@input"));
Mat img0 = imread(filename, 1), imgGray;
if( img0.empty() )
{
cout << "Couldn'g open image " << filename << ". Usage: watershed <image_name>\n";
cout << "Couldn't open image " << filename << ". Usage: watershed <image_name>\n";
return 0;
}
help();
samples/data/calibration.yml
+15
View File
@@ -0,0 +1,15 @@
%YAML:1.0
images:
- left01.jpg
- left02.jpg
- left03.jpg
- left04.jpg
- left05.jpg
- left06.jpg
- left07.jpg
- left08.jpg
- left09.jpg
- left11.jpg
- left12.jpg
- left13.jpg
- left14.jpg
samples/dnn/colorization.cpp
+3 -3
View File
@@ -64,9 +64,9 @@ int main(int argc, char **argv)
parser.printMessage();
return 0;
}
string modelTxt = parser.get<string>("proto");
string modelBin = parser.get<string>("model");
string imageFile = parser.get<string>("image");
string modelTxt = samples::findFile(parser.get<string>("proto"));
string modelBin = samples::findFile(parser.get<string>("model"));
string imageFile = samples::findFile(parser.get<string>("image"));
bool useOpenCL = parser.has("opencl");
if (!parser.check())
{
samples/dnn/common.py
+4
View File
@@ -86,6 +86,10 @@ def findFile(filename):
if os.path.exists(filename):
return filename
fpath = cv.samples.findFile(filename, False)
if fpath:
return fpath
samplesDataDir = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'..',
'data',
samples/dnn/edge_detection.py
+1 -1
View File
@@ -43,7 +43,7 @@ cv.dnn_registerLayer('Crop', CropLayer)
#! [Register]
# Load the model.
net = cv.dnn.readNet(args.prototxt, args.caffemodel)
net = cv.dnn.readNet(cv.samples.findFile(args.prototxt), cv.samples.findFile(args.caffemodel))
kWinName = 'Holistically-Nested Edge Detection'
cv.namedWindow('Input', cv.WINDOW_NORMAL)
samples/dnn/fast_neural_style.py
+1 -1
View File
@@ -13,7 +13,7 @@ parser.add_argument('--height', default=-1, type=int, help='Resize input to spec
parser.add_argument('--median_filter', default=0, type=int, help='Kernel size of postprocessing blurring.')
args = parser.parse_args()
net = cv.dnn.readNetFromTorch(args.model)
net = cv.dnn.readNetFromTorch(cv.samples.findFile(args.model))
net.setPreferableBackend(cv.dnn.DNN_BACKEND_OPENCV);
if args.input:
samples/dnn/mask_rcnn.py
+2 -2
View File
@@ -68,13 +68,13 @@ def drawBox(frame, classId, conf, left, top, right, bottom):
# Load a network
net = cv.dnn.readNet(args.model, args.config)
net = cv.dnn.readNet(cv.samples.findFile(args.model), cv.samples.findFile(args.config))
net.setPreferableBackend(cv.dnn.DNN_BACKEND_OPENCV)
winName = 'Mask-RCNN in OpenCV'
cv.namedWindow(winName, cv.WINDOW_NORMAL)
cap = cv.VideoCapture(args.input if args.input else 0)
cap = cv.VideoCapture(cv.samples.findFileOrKeep(args.input) if args.input else 0)
legend = None
while cv.waitKey(1) < 0:
hasFrame, frame = cap.read()
samples/dnn/mobilenet_ssd_accuracy.py
+2 -2
View File
@@ -26,12 +26,12 @@ parser.add_argument('--annotations', help='Path to COCO annotations file.', requ
args = parser.parse_args()
### Get OpenCV predictions #####################################################
net = cv.dnn.readNetFromTensorflow(args.weights, args.prototxt)
net = cv.dnn.readNetFromTensorflow(cv.samples.findFile(args.weights), cv.samples.findFile(args.prototxt))
net.setPreferableBackend(cv.dnn.DNN_BACKEND_OPENCV);
detections = []
for imgName in os.listdir(args.images):
inp = cv.imread(os.path.join(args.images, imgName))
inp = cv.imread(cv.samples.findFile(os.path.join(args.images, imgName)))
rows = inp.shape[0]
cols = inp.shape[1]
inp = cv.resize(inp, (300, 300))
samples/dnn/object_detection.py
+2 -2
View File
@@ -67,7 +67,7 @@ if args.classes:
classes = f.read().rstrip('\n').split('\n')
# Load a network
net = cv.dnn.readNet(args.model, args.config, args.framework)
net = cv.dnn.readNet(cv.samples.findFile(args.model), cv.samples.findFile(args.config), args.framework)
net.setPreferableBackend(args.backend)
net.setPreferableTarget(args.target)
outNames = net.getUnconnectedOutLayersNames()
@@ -182,7 +182,7 @@ def callback(pos):
cv.createTrackbar('Confidence threshold, %', winName, int(confThreshold * 100), 99, callback)
cap = cv.VideoCapture(args.input if args.input else 0)
cap = cv.VideoCapture(cv.samples.findFileOrKeep(args.input) if args.input else 0)
while cv.waitKey(1) < 0:
hasFrame, frame = cap.read()
if not hasFrame:
samples/dnn/openpose.cpp
+3 -3
View File
@@ -66,9 +66,9 @@ int main(int argc, char **argv)
"{ t threshold | 0.1 | threshold or confidence value for the heatmap }"
);
String modelTxt = parser.get<string>("proto");
String modelBin = parser.get<string>("model");
String imageFile = parser.get<String>("image");
String modelTxt = samples::findFile(parser.get<string>("proto"));
String modelBin = samples::findFile(parser.get<string>("model"));
String imageFile = samples::findFile(parser.get<String>("image"));
int W_in = parser.get<int>("width");
int H_in = parser.get<int>("height");
float thresh = parser.get<float>("threshold");
samples/dnn/openpose.py
+1 -1
View File
@@ -45,7 +45,7 @@ else:
inWidth = args.width
inHeight = args.height
net = cv.dnn.readNetFromCaffe(args.proto, args.model)
net = cv.dnn.readNetFromCaffe(cv.samples.findFile(args.proto), cv.samples.findFile(args.model))
cap = cv.VideoCapture(args.input if args.input else 0)
samples/python/_run_winpack_demo.cmd
+3
View File
@@ -0,0 +1,3 @@
@echo off
call ..\_winpack_run_python_sample.cmd %*
exit /B
samples/python/_run_winpack_demo_python27.cmd
-62
View File
@@ -1,62 +0,0 @@
@echo off
setlocal enableDelayedExpansion
set SCRIPTDIR=%~dp0
if NOT exist %SCRIPTDIR%\..\..\..\build (
echo ERROR: OpenCV Winpack installation is required
pause
exit
)
:: Path to FFMPEG binary files
set PATH=%PATH%;%SCRIPTDIR%\..\..\..\build\bin\
:: Detect Python binary
python -V
if %ERRORLEVEL% EQU 0 (
set PYTHON=python
) else (
if exist C:\Python27-x64\python.exe (
set PYTHON=C:\Python27-x64\python.exe
) else (
if exist C:\Python27\python.exe (
set PYTHON=C:\Python27\python.exe
) else (
echo ERROR: Python not found
pause
exit
)
)
)
echo Using python: %PYTHON%
:: Detect python architecture
%PYTHON% -c "import platform; exit(64 if platform.architecture()[0] == '64bit' else 32)"
if %ERRORLEVEL% EQU 32 (
echo Detected: Python 32-bit
set PYTHONPATH=%CD%\..\..\..\build\python\2.7\x86
) else (
if %ERRORLEVEL% EQU 64 (
echo Detected: Python 64-bit
set PYTHONPATH=%CD%\..\..\..\build\python\2.7\x64
) else (
echo ERROR: Unknown python arch
pause
exit
)
)
:: Don't generate unnecessary .pyc cache files
set PYTHONDONTWRITEBYTECODE=1
if [%1]==[] goto rundemo
%PYTHON% %*
set result=%errorlevel%
IF %result% NEQ 0 (pause)
EXIT /B %result%
:rundemo
%PYTHON% demo.py
set result=%errorlevel%
IF %result% NEQ 0 (pause)
EXIT /B %result%
samples/python/asift.py
+4 -4
View File
@@ -116,11 +116,11 @@ if __name__ == '__main__':
try:
fn1, fn2 = args
except:
fn1 = '../data/aero1.jpg'
fn2 = '../data/aero3.jpg'
fn1 = 'aero1.jpg'
fn2 = 'aero3.jpg'
img1 = cv.imread(fn1, 0)
img2 = cv.imread(fn2, 0)
img1 = cv.imread(cv.samples.findFile(fn1), cv.IMREAD_GRAYSCALE)
img2 = cv.imread(cv.samples.findFile(fn2), cv.IMREAD_GRAYSCALE)
detector, matcher = init_feature(feature_name)
if img1 is None:
samples/python/browse.py
+1 -1
View File
@@ -32,7 +32,7 @@ if __name__ == '__main__':
print()
if len(sys.argv) > 1:
fn = sys.argv[1]
fn = cv.samples.findFile(sys.argv[1])
print('loading %s ...' % fn)
img = cv.imread(fn)
if img is None:
samples/python/calibrate.py
+1 -1
View File
@@ -53,7 +53,7 @@ if __name__ == '__main__':
obj_points = []
img_points = []
h, w = cv.imread(img_names[0], 0).shape[:2] # TODO: use imquery call to retrieve results
h, w = cv.imread(img_names[0], cv.IMREAD_GRAYSCALE).shape[:2] # TODO: use imquery call to retrieve results
def processImage(fn):
print('processing %s... ' % fn)
samples/python/camera_calibration_show_extrinsics.py
+2 -2
View File
@@ -160,7 +160,7 @@ def draw_camera_boards(ax, camera_matrix, cam_width, cam_height, scale_focal,
def main():
parser = argparse.ArgumentParser(description='Plot camera calibration extrinsics.',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--calibration', type=str, default="../data/left_intrinsics.yml",
parser.add_argument('--calibration', type=str, default='left_intrinsics.yml',
help='YAML camera calibration file.')
parser.add_argument('--cam_width', type=float, default=0.064/2,
help='Width/2 of the displayed camera.')
@@ -172,7 +172,7 @@ def main():
help='The calibration board is static and the camera is moving.')
args = parser.parse_args()
fs = cv.FileStorage(args.calibration, cv.FILE_STORAGE_READ)
fs = cv.FileStorage(cv.samples.findFile(args.calibration), cv.FILE_STORAGE_READ)
board_width = int(fs.getNode('board_width').real())
board_height = int(fs.getNode('board_height').real())
square_size = fs.getNode('square_size').real()
samples/python/coherence.py
+2 -2
View File
@@ -51,9 +51,9 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except:
fn = '../data/baboon.jpg'
fn = 'baboon.jpg'
src = cv.imread(fn)
src = cv.imread(cv.samples.findFile(fn))
def nothing(*argv):
pass
samples/python/color_histogram.py
+1 -1
View File
@@ -39,7 +39,7 @@ if __name__ == '__main__':
fn = sys.argv[1]
except:
fn = 0
cam = video.create_capture(fn, fallback='synth:bg=../data/baboon.jpg:class=chess:noise=0.05')
cam = video.create_capture(fn, fallback='synth:bg=baboon.jpg:class=chess:noise=0.05')
while True:
flag, frame = cam.read()
samples/python/deconvolution.py
+5 -5
View File
@@ -19,11 +19,11 @@ Usage:
ESC - exit
Examples:
deconvolution.py --angle 135 --d 22 ../data/licenseplate_motion.jpg
deconvolution.py --angle 135 --d 22 licenseplate_motion.jpg
(image source: http://www.topazlabs.com/infocus/_images/licenseplate_compare.jpg)
deconvolution.py --angle 86 --d 31 ../data/text_motion.jpg
deconvolution.py --circle --d 19 ../data/text_defocus.jpg
deconvolution.py --angle 86 --d 31 text_motion.jpg
deconvolution.py --circle --d 19 text_defocus.jpg
(image source: compact digital photo camera, no artificial distortion)
@@ -73,11 +73,11 @@ if __name__ == '__main__':
try:
fn = args[0]
except:
fn = '../data/licenseplate_motion.jpg'
fn = 'licenseplate_motion.jpg'
win = 'deconvolution'
img = cv.imread(fn, 0)
img = cv.imread(cv.samples.findFile(fn), cv.IMREAD_GRAYSCALE)
if img is None:
print('Failed to load file:', fn)
sys.exit(1)
samples/python/dft.py
+6 -4
View File
@@ -38,8 +38,8 @@ def shift_dft(src, dst=None):
h, w = src.shape[:2]
cx1 = cx2 = w/2
cy1 = cy2 = h/2
cx1 = cx2 = w // 2
cy1 = cy2 = h // 2
# if the size is odd, then adjust the bottom/right quadrants
if w % 2 != 0:
@@ -65,11 +65,13 @@ def shift_dft(src, dst=None):
if __name__ == "__main__":
if len(sys.argv) > 1:
im = cv.imread(sys.argv[1])
fname = sys.argv[1]
else:
im = cv.imread('../data/baboon.jpg')
fname = 'baboon.jpg'
print("usage : python dft.py <image_file>")
im = cv.imread(cv.samples.findFile(fname))
# convert to grayscale
im = cv.cvtColor(im, cv.COLOR_BGR2GRAY)
h, w = im.shape[:2]
samples/python/digits.py
+4 -3
View File
@@ -3,7 +3,7 @@
'''
SVM and KNearest digit recognition.
Sample loads a dataset of handwritten digits from '../data/digits.png'.
Sample loads a dataset of handwritten digits from 'digits.png'.
Then it trains a SVM and KNearest classifiers on it and evaluates
their accuracy.
@@ -42,7 +42,7 @@ from common import clock, mosaic
SZ = 20 # size of each digit is SZ x SZ
CLASS_N = 10
DIGITS_FN = '../data/digits.png'
DIGITS_FN = 'digits.png'
def split2d(img, cell_size, flatten=True):
h, w = img.shape[:2]
@@ -54,8 +54,9 @@ def split2d(img, cell_size, flatten=True):
return cells
def load_digits(fn):
fn = cv.samples.findFile(fn)
print('loading "%s" ...' % fn)
digits_img = cv.imread(fn, 0)
digits_img = cv.imread(fn, cv.IMREAD_GRAYSCALE)
digits = split2d(digits_img, (SZ, SZ))
labels = np.repeat(np.arange(CLASS_N), len(digits)/CLASS_N)
return digits, labels
samples/python/distrans.py
+3 -2
View File
@@ -24,10 +24,11 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except:
fn = '../data/fruits.jpg'
fn = 'fruits.jpg'
print(__doc__)
img = cv.imread(fn, 0)
fn = cv.samples.findFile(fn)
img = cv.imread(fn, cv.IMREAD_GRAYSCALE)
if img is None:
print('Failed to load fn:', fn)
sys.exit(1)
samples/python/facedetect.py
+5 -5
View File
@@ -40,13 +40,13 @@ if __name__ == '__main__':
except:
video_src = 0
args = dict(args)
cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")
nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")
cascade_fn = args.get('--cascade', "data/haarcascades/haarcascade_frontalface_alt.xml")
nested_fn = args.get('--nested-cascade', "data/haarcascades/haarcascade_eye.xml")
cascade = cv.CascadeClassifier(cascade_fn)
nested = cv.CascadeClassifier(nested_fn)
cascade = cv.CascadeClassifier(cv.samples.findFile(cascade_fn))
nested = cv.CascadeClassifier(cv.samples.findFile(nested_fn))
cam = create_capture(video_src, fallback='synth:bg=../data/lena.jpg:noise=0.05')
cam = create_capture(video_src, fallback='synth:bg={}:noise=0.05'.format(cv.samples.findFile('samples/data/lena.jpg')))
while True:
ret, img = cam.read()
samples/python/find_obj.py
+4 -4
View File
@@ -147,11 +147,11 @@ if __name__ == '__main__':
try:
fn1, fn2 = args
except:
fn1 = '../data/box.png'
fn2 = '../data/box_in_scene.png'
fn1 = 'box.png'
fn2 = 'box_in_scene.png'
img1 = cv.imread(fn1, 0)
img2 = cv.imread(fn2, 0)
img1 = cv.imread(cv.samples.findFile(fn1), cv.IMREAD_GRAYSCALE)
img2 = cv.imread(cv.samples.findFile(fn2), cv.IMREAD_GRAYSCALE)
detector, matcher = init_feature(feature_name)
if img1 is None:
samples/python/floodfill.py
+2 -2
View File
@@ -25,10 +25,10 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except:
fn = '../data/fruits.jpg'
fn = 'fruits.jpg'
print(__doc__)
img = cv.imread(fn, True)
img = cv.imread(cv.samples.findFile(fn))
if img is None:
print('Failed to load image file:', fn)
sys.exit(1)
samples/python/gabor_threads.py
+2 -2
View File
@@ -55,9 +55,9 @@ if __name__ == '__main__':
try:
img_fn = sys.argv[1]
except:
img_fn = '../data/baboon.jpg'
img_fn = 'baboon.jpg'
img = cv.imread(img_fn)
img = cv.imread(cv.samples.findFile(img_fn))
if img is None:
print('Failed to load image file:', img_fn)
sys.exit(1)
samples/python/grabcut.py
+3 -3
View File
@@ -107,11 +107,11 @@ if __name__ == '__main__':
if len(sys.argv) == 2:
filename = sys.argv[1] # for drawing purposes
else:
print("No input image given, so loading default image, ../data/lena.jpg \n")
print("No input image given, so loading default image, lena.jpg \n")
print("Correct Usage: python grabcut.py <filename> \n")
filename = '../data/lena.jpg'
filename = 'lena.jpg'
img = cv.imread(filename)
img = cv.imread(cv.samples.findFile(filename))
img2 = img.copy() # a copy of original image
mask = np.zeros(img.shape[:2],dtype = np.uint8) # mask initialized to PR_BG
output = np.zeros(img.shape,np.uint8) # output image to be shown
samples/python/hist.py
+2 -2
View File
@@ -60,10 +60,10 @@ if __name__ == '__main__':
if len(sys.argv)>1:
fname = sys.argv[1]
else :
fname = '../data/lena.jpg'
fname = 'lena.jpg'
print("usage : python hist.py <image_file>")
im = cv.imread(fname)
im = cv.imread(cv.samples.findFile(fname))
if im is None:
print('Failed to load image file:', fname)
samples/python/houghcircles.py
+3 -3
View File
@@ -5,7 +5,7 @@ This example illustrates how to use cv.HoughCircles() function.
Usage:
houghcircles.py [<image_name>]
image argument defaults to ../data/board.jpg
image argument defaults to board.jpg
'''
# Python 2/3 compatibility
@@ -21,9 +21,9 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except IndexError:
fn = "../data/board.jpg"
fn = 'board.jpg'
src = cv.imread(fn, 1)
src = cv.imread(cv.samples.findFile(fn))
img = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
img = cv.medianBlur(img, 5)
cimg = src.copy() # numpy function
samples/python/houghlines.py
+3 -3
View File
@@ -5,7 +5,7 @@ This example illustrates how to use Hough Transform to find lines
Usage:
houghlines.py [<image_name>]
image argument defaults to ../data/pic1.png
image argument defaults to pic1.png
'''
# Python 2/3 compatibility
@@ -22,9 +22,9 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except IndexError:
fn = "../data/pic1.png"
fn = 'pic1.png'
src = cv.imread(fn)
src = cv.imread(cv.samples.findFile(fn))
dst = cv.Canny(src, 50, 200)
cdst = cv.cvtColor(dst, cv.COLOR_GRAY2BGR)
samples/python/inpaint.py
+2 -2
View File
@@ -27,11 +27,11 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except:
fn = '../data/fruits.jpg'
fn = 'fruits.jpg'
print(__doc__)
img = cv.imread(fn)
img = cv.imread(cv.samples.findFile(fn))
if img is None:
print('Failed to load image file:', fn)
sys.exit(1)
samples/python/letter_recog.py
+6 -4
View File
@@ -41,7 +41,7 @@ class LetterStatModel(object):
train_ratio = 0.5
def load(self, fn):
self.model.load(fn)
self.model = self.model.load(fn)
def save(self, fn):
self.model.save(fn)
@@ -158,10 +158,12 @@ if __name__ == '__main__':
args, dummy = getopt.getopt(sys.argv[1:], '', ['model=', 'data=', 'load=', 'save='])
args = dict(args)
args.setdefault('--model', 'svm')
args.setdefault('--data', '../data/letter-recognition.data')
args.setdefault('--data', 'letter-recognition.data')
print('loading data %s ...' % args['--data'])
samples, responses = load_base(args['--data'])
datafile = cv.samples.findFile(args['--data'])
print('loading data %s ...' % datafile)
samples, responses = load_base(datafile)
Model = models[args['--model']]
model = Model()
samples/python/logpolar.py
+2 -2
View File
@@ -22,9 +22,9 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except IndexError:
fn = '../data/fruits.jpg'
fn = 'fruits.jpg'
img = cv.imread(fn)
img = cv.imread(cv.samples.findFile(fn))
if img is None:
print('Failed to load image file:', fn)
sys.exit(1)
samples/python/morphology.py
+2 -2
View File
@@ -31,9 +31,9 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except:
fn = '../data/baboon.jpg'
fn = 'baboon.jpg'
img = cv.imread(fn)
img = cv.imread(cv.samples.findFile(fn))
if img is None:
print('Failed to load image file:', fn)
samples/python/peopledetect.py
+1 -1
View File
@@ -40,7 +40,7 @@ if __name__ == '__main__':
hog = cv.HOGDescriptor()
hog.setSVMDetector( cv.HOGDescriptor_getDefaultPeopleDetector() )
default = ['../data/basketball2.png '] if len(sys.argv[1:]) == 0 else []
default = [cv.samples.findFile('basketball2.png')] if len(sys.argv[1:]) == 0 else []
for fn in it.chain(*map(glob, default + sys.argv[1:])):
print(fn, ' - ',)
samples/python/stereo_match.py
+2 -2
View File
@@ -35,8 +35,8 @@ def write_ply(fn, verts, colors):
if __name__ == '__main__':
print('loading images...')
imgL = cv.pyrDown( cv.imread('../data/aloeL.jpg') ) # downscale images for faster processing
imgR = cv.pyrDown( cv.imread('../data/aloeR.jpg') )
imgL = cv.pyrDown(cv.imread(cv.samples.findFile('aloeL.jpg'))) # downscale images for faster processing
imgR = cv.pyrDown(cv.imread(cv.samples.findFile('aloeR.jpg')))
# disparity range is tuned for 'aloe' image pair
window_size = 3
samples/python/texture_flow.py
+2 -2
View File
@@ -21,9 +21,9 @@ if __name__ == '__main__':
try:
fn = sys.argv[1]
except:
fn = '../data/starry_night.jpg'
fn = 'starry_night.jpg'
img = cv.imread(fn)
img = cv.imread(cv.samples.findFile(fn))
if img is None:
print('Failed to load image file:', fn)
sys.exit(1)
samples/python/tst_scene_render.py
+2 -2
View File
@@ -98,8 +98,8 @@ class TestSceneRender():
if __name__ == '__main__':
backGr = cv.imread('../data/graf1.png')
fgr = cv.imread('../data/box.png')
backGr = cv.imread(cv.samples.findFile('graf1.png'))
fgr = cv.imread(cv.samples.findFile('box.png'))
render = TestSceneRender(backGr, fgr)
samples/python/tutorial_code/Histograms_Matching/histogram_calculation/calcHist_Demo.py
+2 -2
View File
@@ -6,10 +6,10 @@ import argparse
## [Load image]
parser = argparse.ArgumentParser(description='Code for Histogram Calculation tutorial.')
parser.add_argument('--input', help='Path to input image.', default='../data/lena.jpg')
parser.add_argument('--input', help='Path to input image.', default='lena.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
src = cv.imread(cv.samples.findFile(args.input))
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
samples/python/tutorial_code/Histograms_Matching/histogram_equalization/EqualizeHist_Demo.py
+2 -2
View File
@@ -4,10 +4,10 @@ import argparse
## [Load image]
parser = argparse.ArgumentParser(description='Code for Histogram Equalization tutorial.')
parser.add_argument('--input', help='Path to input image.', default='../data/lena.jpg')
parser.add_argument('--input', help='Path to input image.', default='lena.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
src = cv.imread(cv.samples.findFile(args.input))
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
samples/python/tutorial_code/ImgTrans/Filter2D/filter2D.py
+3 -3
View File
@@ -11,15 +11,15 @@ def main(argv):
window_name = 'filter2D Demo'
## [load]
imageName = argv[0] if len(argv) > 0 else "../data/lena.jpg"
imageName = argv[0] if len(argv) > 0 else 'lena.jpg'
# Loads an image
src = cv.imread(imageName, cv.IMREAD_COLOR)
src = cv.imread(cv.samples.findFile(imageName), cv.IMREAD_COLOR)
# Check if image is loaded fine
if src is None:
print ('Error opening image!')
print ('Usage: filter2D.py [image_name -- default ../data/lena.jpg] \n')
print ('Usage: filter2D.py [image_name -- default lena.jpg] \n')
return -1
## [load]
## [init_arguments]
samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py
+2 -2
View File
@@ -5,11 +5,11 @@ import numpy as np
def main(argv):
## [load]
default_file = "../../../../data/smarties.png"
default_file = 'smarties.png'
filename = argv[0] if len(argv) > 0 else default_file
# Loads an image
src = cv.imread(filename, cv.IMREAD_COLOR)
src = cv.imread(cv.samples.findFile(filename), cv.IMREAD_COLOR)
# Check if image is loaded fine
if src is None:
samples/python/tutorial_code/ImgTrans/HoughLine/hough_lines.py
+2 -2
View File
@@ -10,11 +10,11 @@ import numpy as np
def main(argv):
## [load]
default_file = "../../../../data/sudoku.png"
default_file = 'sudoku.png'
filename = argv[0] if len(argv) > 0 else default_file
# Loads an image
src = cv.imread(filename, cv.IMREAD_GRAYSCALE)
src = cv.imread(cv.samples.findFile(filename), cv.IMREAD_GRAYSCALE)
# Check if image is loaded fine
if src is None:
samples/python/tutorial_code/ImgTrans/LaPlace/laplace_demo.py
+3 -3
View File
@@ -14,14 +14,14 @@ def main(argv):
# [variables]
# [load]
imageName = argv[0] if len(argv) > 0 else "../data/lena.jpg"
imageName = argv[0] if len(argv) > 0 else 'lena.jpg'
src = cv.imread(imageName, cv.IMREAD_COLOR) # Load an image
src = cv.imread(cv.samples.findFile(imageName), cv.IMREAD_COLOR) # Load an image
# Check if image is loaded fine
if src is None:
print ('Error opening image')
print ('Program Arguments: [image_name -- default ../data/lena.jpg]')
print ('Program Arguments: [image_name -- default lena.jpg]')
return -1
# [load]
samples/python/tutorial_code/ImgTrans/MakeBorder/copy_make_border.py
+3 -3
View File
@@ -14,15 +14,15 @@ def main(argv):
window_name = "copyMakeBorder Demo"
## [variables]
## [load]
imageName = argv[0] if len(argv) > 0 else "../data/lena.jpg"
imageName = argv[0] if len(argv) > 0 else 'lena.jpg'
# Loads an image
src = cv.imread(imageName, cv.IMREAD_COLOR)
src = cv.imread(cv.samples.findFile(imageName), cv.IMREAD_COLOR)
# Check if image is loaded fine
if src is None:
print ('Error opening image!')
print ('Usage: copy_make_border.py [image_name -- default ../data/lena.jpg] \n')
print ('Usage: copy_make_border.py [image_name -- default lena.jpg] \n')
return -1
## [load]
# Brief how-to for this program

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