This is the computer vision pipeline used in the BeesBook project to automatically detect and decode the IDs of tagged Bees.
For details see: Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees
- GCC >= 4.8 or clang >= 3.6
- boost
- OpenCV
In your CMakeLists.txt, add:
set(CPM_MODULE_NAME YourModuleNameHere)
set(CPM_LIB_TARGET_NAME ${CPM_MODULE_NAME})
if ((DEFINED BIOROBOTICS_CMAKE_CONFIG_DIR))
include(BIOROBOTICS_CMAKE_CONFIG_DIR)
else()
set(BIOROBOTICS_CMAKE_CONFIG_DIR "${CMAKE_CURRENT_BINARY_DIR}/cmakeconfig" CACHE TYPE STRING)
find_package(Git)
if(NOT GIT_FOUND)
message(FATAL_ERROR "CPM requires Git.")
endif()
if (NOT EXISTS ${BIOROBOTICS_CMAKE_CONFIG_DIR}/CMakeLists.txt)
message(STATUS "Cloning repo (https://github.com/BioroboticsLab/cmakeconfig.git)")
execute_process(
COMMAND "${GIT_EXECUTABLE}" clone https://github.com/BioroboticsLab/cmakeconfig.git
${BIOROBOTICS_CMAKE_CONFIG_DIR}
RESULT_VARIABLE error_code
OUTPUT_QUIET ERROR_QUIET)
if(error_code)
message(FATAL_ERROR "CMAKECONFIG failed to get the hash for HEAD")
endif()
endif()
include(${BIOROBOTICS_CMAKE_CONFIG_DIR}/CMakeLists.txt)
endif()In your CMakeLists.txt, add:
include_pipeline()In your CMakeLists.txt, add:
CPM_InitModule(${CPM_MODULE_NAME})
biorobotics_set_compiler_flags()#include <cstdlib>
#include <vector>
#include <opencv2/opencv.hpp>
#include <pipeline/datastructure/Tag.h>
#include <pipeline/Preprocessor.h>
#include <pipeline/Localizer.h>
#include <pipeline/EllipseFitter.h>
#include <pipeline/GridFitter.h>
#include <pipeline/Decoder.h>
int main(int argc, char** argv)
{
const std::string filename(argv[1]);
cv::Mat img = cv::imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
cv::Mat preprocessedImg = _preprocessor.process(img);
std::vector<pipeline::Tag> taglist = _localizer.process(std::move(img), std::move(preprocessedImg));
taglist = _ellipseFitter.process(std::move(taglist));
taglist = _gridFitter.process(std::move(taglist));
taglist = _decoder.process(std::move(taglist));
return EXIT_SUCCESS;
}Wario, Fernando, et al. "Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees." Frontiers in Ecology and Evolution 3 (2015): 103.