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mmcwilliams 2023-09-27 10:40:13 -04:00
commit 6be6982ce5
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build/
*.DS_Store

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README.md Normal file
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# Marker Separation
Project for palletizing images based on a limited set of marker colors.
Includes Python application for prototyping and C++ application for
building a self-contained binary.

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build

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cmake_minimum_required(VERSION 3.1)
PROJECT (separate)
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${CMAKE_CURRENT_SOURCE_DIR}/cmake-modules)
find_package(OpenCV HINTS /usr/local/opt/opencv /usr/local/Cellar/opencv REQUIRED)
set( NAME_SRC
separate.cpp
)
INCLUDE_DIRECTORIES( ${CMAKE_CURRENT_SOURCE_DIR}/include )
link_directories( ${CMAKE_BINARY_DIR}/bin)
set(EXECUTABLE_OUTPUT_PATH ${CMAKE_BINARY_DIR}/bin)
add_executable( separate ${NAME_SRC} ${NAME_HEADERS} )
target_link_libraries( separate ${OpenCV_LIBS} )

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# Marker Separation
A C++ application with OpenCV for palletizing images to a limit set of
marker colors.
Compiles on macOS and Linux.

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# ===================================================================================
# The OpenCV CMake configuration file
#
# ** File generated automatically, do not modify **
#
# Usage from an external project:
# In your CMakeLists.txt, add these lines:
#
# FIND_PACKAGE(OpenCV REQUIRED)
# TARGET_LINK_LIBRARIES(MY_TARGET_NAME ${OpenCV_LIBS})
#
# Or you can search for specific OpenCV modules:
#
# FIND_PACKAGE(OpenCV REQUIRED core imgcodecs)
#
# If the module is found then OPENCV_<MODULE>_FOUND is set to TRUE.
#
# This file will define the following variables:
# - OpenCV_LIBS : The list of libraries to link against.
# - OpenCV_LIB_DIR : The directory(es) where lib files are. Calling LINK_DIRECTORIES
# with this path is NOT needed.
# - OpenCV_INCLUDE_DIRS : The OpenCV include directories.
# - OpenCV_COMPUTE_CAPABILITIES : The version of compute capability
# - OpenCV_ANDROID_NATIVE_API_LEVEL : Minimum required level of Android API
# - OpenCV_VERSION : The version of this OpenCV build. Example: "2.4.0"
# - OpenCV_VERSION_MAJOR : Major version part of OpenCV_VERSION. Example: "2"
# - OpenCV_VERSION_MINOR : Minor version part of OpenCV_VERSION. Example: "4"
# - OpenCV_VERSION_PATCH : Patch version part of OpenCV_VERSION. Example: "0"
#
# Advanced variables:
# - OpenCV_SHARED
# - OpenCV_CONFIG_PATH
# - OpenCV_LIB_COMPONENTS
#
# ===================================================================================
#
# Windows pack specific options:
# - OpenCV_STATIC
# - OpenCV_CUDA
if(CMAKE_VERSION VERSION_GREATER 2.6)
get_property(OpenCV_LANGUAGES GLOBAL PROPERTY ENABLED_LANGUAGES)
if(NOT ";${OpenCV_LANGUAGES};" MATCHES ";CXX;")
enable_language(CXX)
endif()
endif()
if(NOT DEFINED OpenCV_STATIC)
# look for global setting
if(BUILD_SHARED_LIBS)
set(OpenCV_STATIC OFF)
else()
set(OpenCV_STATIC ON)
endif()
endif()
if(NOT DEFINED OpenCV_CUDA)
# if user' app uses CUDA, then it probably wants CUDA-enabled OpenCV binaries
if(CUDA_FOUND)
set(OpenCV_CUDA ON)
endif()
endif()
if(MSVC)
if(CMAKE_CL_64)
set(OpenCV_ARCH x64)
set(OpenCV_TBB_ARCH intel64)
elseif((CMAKE_GENERATOR MATCHES "ARM") OR ("${arch_hint}" STREQUAL "ARM") OR (CMAKE_VS_EFFECTIVE_PLATFORMS MATCHES "ARM|arm"))
# see Modules/CmakeGenericSystem.cmake
set(OpenCV_ARCH ARM)
else()
set(OpenCV_ARCH x86)
set(OpenCV_TBB_ARCH ia32)
endif()
if(MSVC_VERSION EQUAL 1400)
set(OpenCV_RUNTIME vc8)
elseif(MSVC_VERSION EQUAL 1500)
set(OpenCV_RUNTIME vc9)
elseif(MSVC_VERSION EQUAL 1600)
set(OpenCV_RUNTIME vc10)
elseif(MSVC_VERSION EQUAL 1700)
set(OpenCV_RUNTIME vc11)
elseif(MSVC_VERSION EQUAL 1800)
set(OpenCV_RUNTIME vc12)
elseif(MSVC_VERSION EQUAL 1900)
set(OpenCV_RUNTIME vc14)
endif()
elseif(MINGW)
set(OpenCV_RUNTIME mingw)
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -dumpmachine
OUTPUT_VARIABLE OPENCV_GCC_TARGET_MACHINE
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(OPENCV_GCC_TARGET_MACHINE MATCHES "amd64|x86_64|AMD64")
set(MINGW64 1)
set(OpenCV_ARCH x64)
else()
set(OpenCV_ARCH x86)
endif()
endif()
if(CMAKE_VERSION VERSION_GREATER 2.6.2)
unset(OpenCV_CONFIG_PATH CACHE)
endif()
if(NOT OpenCV_FIND_QUIETLY)
message(STATUS "OpenCV ARCH: ${OpenCV_ARCH}")
message(STATUS "OpenCV RUNTIME: ${OpenCV_RUNTIME}")
message(STATUS "OpenCV STATIC: ${OpenCV_STATIC}")
endif()
get_filename_component(OpenCV_CONFIG_PATH "${CMAKE_CURRENT_LIST_FILE}" PATH CACHE)
if(OpenCV_RUNTIME AND OpenCV_ARCH)
if(OpenCV_STATIC AND EXISTS "${OpenCV_CONFIG_PATH}/${OpenCV_ARCH}/${OpenCV_RUNTIME}/staticlib/OpenCVConfig.cmake")
if(OpenCV_CUDA AND EXISTS "${OpenCV_CONFIG_PATH}/gpu/${OpenCV_ARCH}/${OpenCV_RUNTIME}/staticlib/OpenCVConfig.cmake")
set(OpenCV_LIB_PATH "${OpenCV_CONFIG_PATH}/gpu/${OpenCV_ARCH}/${OpenCV_RUNTIME}/staticlib")
else()
set(OpenCV_LIB_PATH "${OpenCV_CONFIG_PATH}/${OpenCV_ARCH}/${OpenCV_RUNTIME}/staticlib")
endif()
elseif(EXISTS "${OpenCV_CONFIG_PATH}/${OpenCV_ARCH}/${OpenCV_RUNTIME}/lib/OpenCVConfig.cmake")
if(OpenCV_CUDA AND EXISTS "${OpenCV_CONFIG_PATH}/gpu/${OpenCV_ARCH}/${OpenCV_RUNTIME}/lib/OpenCVConfig.cmake")
set(OpenCV_LIB_PATH "${OpenCV_CONFIG_PATH}/gpu/${OpenCV_ARCH}/${OpenCV_RUNTIME}/lib")
else()
set(OpenCV_LIB_PATH "${OpenCV_CONFIG_PATH}/${OpenCV_ARCH}/${OpenCV_RUNTIME}/lib")
endif()
endif()
endif()
if(OpenCV_LIB_PATH AND EXISTS "${OpenCV_LIB_PATH}/OpenCVConfig.cmake")
set(OpenCV_LIB_DIR_OPT "${OpenCV_LIB_PATH}" CACHE PATH "Path where release OpenCV libraries are located" FORCE)
set(OpenCV_LIB_DIR_DBG "${OpenCV_LIB_PATH}" CACHE PATH "Path where debug OpenCV libraries are located" FORCE)
set(OpenCV_3RDPARTY_LIB_DIR_OPT "${OpenCV_LIB_PATH}" CACHE PATH "Path where release 3rdparty OpenCV dependencies are located" FORCE)
set(OpenCV_3RDPARTY_LIB_DIR_DBG "${OpenCV_LIB_PATH}" CACHE PATH "Path where debug 3rdparty OpenCV dependencies are located" FORCE)
include("${OpenCV_LIB_PATH}/OpenCVConfig.cmake")
if(OpenCV_CUDA)
set(_OpenCV_LIBS "")
foreach(_lib ${OpenCV_LIBS})
string(REPLACE "${OpenCV_CONFIG_PATH}/gpu/${OpenCV_ARCH}/${OpenCV_RUNTIME}" "${OpenCV_CONFIG_PATH}/${OpenCV_ARCH}/${OpenCV_RUNTIME}" _lib2 "${_lib}")
if(NOT EXISTS "${_lib}" AND EXISTS "${_lib2}")
list(APPEND _OpenCV_LIBS "${_lib2}")
else()
list(APPEND _OpenCV_LIBS "${_lib}")
endif()
endforeach()
set(OpenCV_LIBS ${_OpenCV_LIBS})
endif()
set(OpenCV_FOUND TRUE CACHE BOOL "" FORCE)
set(OPENCV_FOUND TRUE CACHE BOOL "" FORCE)
if(NOT OpenCV_FIND_QUIETLY)
message(STATUS "Found OpenCV ${OpenCV_VERSION} in ${OpenCV_LIB_PATH}")
if(NOT OpenCV_LIB_PATH MATCHES "/staticlib")
get_filename_component(_OpenCV_LIB_PATH "${OpenCV_LIB_PATH}/../bin" ABSOLUTE)
file(TO_NATIVE_PATH "${_OpenCV_LIB_PATH}" _OpenCV_LIB_PATH)
message(STATUS "You might need to add ${_OpenCV_LIB_PATH} to your PATH to be able to run your applications.")
if(OpenCV_LIB_PATH MATCHES "/gpu/")
string(REPLACE "\\gpu" "" _OpenCV_LIB_PATH2 "${_OpenCV_LIB_PATH}")
message(STATUS "GPU support is enabled so you might also need ${_OpenCV_LIB_PATH2} in your PATH (it must go after the ${_OpenCV_LIB_PATH}).")
endif()
endif()
endif()
else()
if(NOT OpenCV_FIND_QUIETLY)
message(WARNING
"Found OpenCV Windows Pack but it has no binaries compatible with your configuration.
You should manually point CMake variable OpenCV_DIR to your build of OpenCV library."
)
endif()
set(OpenCV_FOUND FALSE CACHE BOOL "" FORCE)
set(OPENCV_FOUND FALSE CACHE BOOL "" FORCE)
endif()

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#include "cmd.h"
inline bool Cmd::in_array(const std::string &value, const std::vector<std::string> &array)
{
return std::find(array.begin(), array.end(), value) != array.end();
}
inline bool Cmd::file_exists (const std::string& name)
{
struct stat buffer;
return (stat (name.c_str(), &buffer) == 0);
}
inline bool Cmd::is_image (const std::string& name)
{
string ext = name.substr(name.find_last_of(".") + 1);
return in_array(ext, supportedExt);
}
string Cmd::get_input (int &argc, string argstr)
{
string input;
if (argc > 1)
{
input = argstr;
}
else if (argc < 2)
{
cerr << "Please provide one image." << endl;
return;
}
else if (argc > 2)
{
cerr << "Please provide only one image." << endl;
return;
}
if (!file_exists(input))
{
cerr << "File " << input << " does not exist." << endl;
return;
}
if (!is_image(input))
{
cerr << "File " << input << " is not a valid image." << endl;
return;
}
return input;
}

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#ifndef CMD_MANAGER
#define CMD_MANAGER
using namespace std;
#include <iostream>
#include <opencv2/opencv.hpp>
#include <sys/stat.h>
#include <string>
#include <vector>
#include <algorithm>
class Cmd {
public:
string get_input(int &argc, string argstr);
private:
std::vector<std::string> supportedExt = {
"jpg", "JPG",
"jpeg", "JPEG",
"png", "PNG",
"tif", "TIF",
"tiff", "tiff"
};
bool in_array(const std::string &value, const std::vector<std::string> &array);
bool file_exists (const std::string& name);
bool is_image (const std::string& name);
};
#endif

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#!/bin/bash
mkdir -p build
cd build
cmake ..
make -j

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#include <opencv2\opencv.hpp>
#include <opencv2\photo.hpp>
#include <iostream>
#include <map>
using namespace cv;
using namespace std;
// https://stackoverflow.com/a/34734939/5008845
void reducecolor_quantization(const mat3b& src, mat3b& dst)
{
uchar n = 64;
dst = src / n;
dst *= n;
}
// https://stackoverflow.com/a/34734939/5008845
void reducecolor_kmeans(const mat3b& src, mat3b& dst)
{
int k = 8;
int n = src.rows * src.cols;
mat data = src.reshape(1, n);
data.convertto(data, cv_32f);
vector<int> labels;
mat1f colors;
kmeans(data, k, labels, cv::termcriteria(), 1, cv::kmeans_pp_centers, colors);
for (int i = 0; i < n; ++i)
{
data.at<float>(i, 0) = colors(labels[i], 0);
data.at<float>(i, 1) = colors(labels[i], 1);
data.at<float>(i, 2) = colors(labels[i], 2);
}
mat reduced = data.reshape(3, src.rows);
reduced.convertto(dst, cv_8u);
}
void reducecolor_stylization(const mat3b& src, mat3b& dst)
{
stylization(src, dst);
}
void reducecolor_edgepreserving(const mat3b& src, mat3b& dst)
{
edgepreservingfilter(src, dst);
}
struct lessvec3b
{
bool operator()(const vec3b& lhs, const vec3b& rhs) const {
return (lhs[0] != rhs[0]) ? (lhs[0] < rhs[0]) : ((lhs[1] != rhs[1]) ? (lhs[1] < rhs[1]) : (lhs[2] < rhs[2]));
}
};
map<vec3b, int, lessvec3b> getpalette(const mat3b& src)
{
map<vec3b, int, lessvec3b> palette;
for (int r = 0; r < src.rows; ++r)
{
for (int c = 0; c < src.cols; ++c)
{
vec3b color = src(r, c);
if (palette.count(color) == 0)
{
palette[color] = 1;
}
else
{
palette[color] = palette[color] + 1;
}
}
}
return palette;
}
int main()
{
mat3b img = imread("path_to_image");
// reduce color
mat3b reduced;
//reducecolor_quantization(img, reduced);
reducecolor_kmeans(img, reduced);
//reducecolor_stylization(img, reduced);
//reducecolor_edgepreserving(img, reduced);
// get palette
map<vec3b, int, lessvec3b> palette = getpalette(reduced);
// print palette
int area = img.rows * img.cols;
for (auto color : palette)
{
cout << "color: " << color.first << " \t - area: " << 100.f * float(color.second) / float(area) << "%" << endl;
}
return 0;
}

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#include <iostream>
#include <opencv2/opencv.hpp>
#include <sys/stat.h>
#include <string>
#include <vector>
#include <algorithm>
#include "cmd.h"
using namespace std;
using namespace cv;
std::vector<std::string> supportedExt = {
"jpg", "JPG",
"jpeg", "JPEG",
"png", "PNG",
"tif", "TIF",
"tiff", "tiff"
};
inline bool in_array(const std::string &value, const std::vector<std::string> &array)
{
return std::find(array.begin(), array.end(), value) != array.end();
}
inline bool file_exists (const std::string& name)
{
struct stat buffer;
return (stat (name.c_str(), &buffer) == 0);
}
inline bool is_image (const std::string& name)
{
string ext = name.substr(name.find_last_of(".") + 1);
return in_array(ext, supportedExt);
}
Cmd cmd;
int main(int argc, char** argv)
{
Mat image;
Mat inverted;
string inputcdt = argv[1];
string input = cmd.get_input(argc, inputcdt);
if (input.empty()) {
return -1;
}
cout << "Using image " << input << "." << endl;
image = imread(input);
bitwise_not(image, inverted);
imshow("Image", inverted);
waitKey(0);
destroyAllWindows();
return 0;
}

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env

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opencv-python

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import argparse
from os.path import isfile
parser = argparse.ArgumentParser(description='Separate an image into most similar colors specified')
parser.add_argument('input', type=str, help='Input image to separate')
args = parser.parse_args()