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Catkinization fixes and rosparam fixes
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asiron committed Jul 31, 2014
1 parent dfa26f8 commit b85c5c7
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175 changes: 175 additions & 0 deletions CMakeLists.txt
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cmake_minimum_required(VERSION 2.8.3)
project(face_recognition)

## Find catkin macros and libraries
## if COMPONENTS list like find_package(catkin REQUIRED COMPONENTS xyz)
## is used, also find other catkin packages
find_package(catkin REQUIRED COMPONENTS
roscpp
message_generation
std_msgs
actionlib
actionlib_msgs
cv_bridge
image_transport
)

#CFLAGS:
set( CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -Wall -o0")

## System dependencies are found with CMake's conventions
# find_package(OpenCV REQUIRED)


## Uncomment this if the package has a setup.py. This macro ensures
## modules and global scripts declared therein get installed
## See http://ros.org/doc/api/catkin/html/user_guide/setup_dot_py.html
# catkin_python_setup()

################################################
## Declare ROS messages, services and actions ##
################################################

## To declare and build messages, services or actions from within this
## package, follow these steps:
## * Let MSG_DEP_SET be the set of packages whose message types you use in
## your messages/services/actions (e.g. std_msgs, actionlib_msgs, ...).
## * In the file package.xml:
## * add a build_depend and a run_depend tag for each package in MSG_DEP_SET
## * If MSG_DEP_SET isn't empty the following dependencies might have been
## pulled in transitively but can be declared for certainty nonetheless:
## * add a build_depend tag for "message_generation"
## * add a run_depend tag for "message_runtime"
## * In this file (CMakeLists.txt):
## * add "message_generation" and every package in MSG_DEP_SET to
## find_package(catkin REQUIRED COMPONENTS ...)
## * add "message_runtime" and every package in MSG_DEP_SET to
## catkin_package(CATKIN_DEPENDS ...)
## * uncomment the add_*_files sections below as needed
## and list every .msg/.srv/.action file to be processed
## * uncomment the generate_messages entry below
## * add every package in MSG_DEP_SET to generate_messages(DEPENDENCIES ...)

## Generate messages in the 'msg' folder
add_message_files(
FILES
FRClientGoal.msg
)

## Generate services in the 'srv' folder
# add_service_files(
# FILES
# Service1.srv
# Service2.srv
# )

## Generate actions in the 'action' folder
add_action_files(
FILES
FaceRecognition.action
)

## Generate added messages and services with any dependencies listed here
generate_messages(
DEPENDENCIES
std_msgs
actionlib_msgs
)

###################################
## catkin specific configuration ##
###################################
## The catkin_package macro generates cmake config files for your package
## Declare things to be passed to dependent projects
## INCLUDE_DIRS: uncomment this if you package contains header files
## LIBRARIES: libraries you create in this project that dependent projects also need
## CATKIN_DEPENDS: catkin_packages dependent projects also need
## DEPENDS: system dependencies of this project that dependent projects also need

catkin_package(
INCLUDE_DIRS ${actionlib_msgs_PACKAGE_PATH}
CATKIN_DEPENDS message_runtime roscpp std_msgs actionlib rospy roslib actionlib_msgs cv_bridge image_transport #opencv2
)



###########
## Build ##
###########

## Specify additional locations of header files
## Your package locations should be listed before other locations
# include_directories(include)
include_directories(
${catkin_INCLUDE_DIRS}
${actionlib_msgs_PACKAGE_PATH}
${OpenCV_INCLUDE_DIRS}
)

## Declare cpp libraries:
add_library(face_recognition_lib src/face_recognition_lib.cpp)

## Declare a cpp executable
add_executable(Fserver src/face_recognition.cpp)
add_executable(Fclient src/face_rec_client.cpp)

## Add cmake target dependencies of the executable/library
## as an example, message headers may need to be generated before nodes

add_dependencies(Fclient face_recognition_generate_messages_cpp)

add_dependencies(Fserver ${catkin_EXPORTED_TARGETS})
add_dependencies(Fclient ${catkin_EXPORTED_TARGETS})

## Specify libraries to link a library or executable target against
target_link_libraries(Fserver ${catkin_LIBRARIES})
target_link_libraries(Fclient ${catkin_LIBRARIES})


#############
## Install ##
#############

# all install targets should use catkin DESTINATION variables
# See http://ros.org/doc/api/catkin/html/adv_user_guide/variables.html

## Mark executable scripts (Python etc.) for installation
## in contrast to setup.py, you can choose the destination
# install(PROGRAMS
# scripts/my_python_script
# DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
# )

## Mark executables and/or libraries for installation
# install(TARGETS socialrobot_gsoap socialrobot_gsoap_node
# ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
# LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}linking actionlib
# RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
# )

## Mark cpp header files for installation
# install(DIRECTORY include/${PROJECT_NAME}/
# DESTINATION ${CATKIN_PACKAGE_INCLUDE_DESTINATION}
# FILES_MATCHING PATTERN "*.h"
# PATTERN ".svn" EXCLUDE
# )

## Mark other files for installation (e.g. launch and bag files, etc.)
# install(FILES
# # myfile1
# # myfile2
# DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
# )

#############
## Testing ##
#############

## Add gtest based cpp test target and link libraries
# catkin_add_gtest(${PROJECT_NAME}-test test/test_socialrobot_gsoap.cpp)
# if(TARGET ${PROJECT_NAME}-test)
# target_link_libraries(${PROJECT_NAME}-test ${PROJECT_NAME})
# endif()

## Add folders to be run by python nosetests
# catkin_add_nosetests(test)
1 change: 1 addition & 0 deletions Makefile
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include $(shell rospack find mk)/cmake.mk
31 changes: 31 additions & 0 deletions action/FaceRecognition.action
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#goal definition
uint8 order_id
string order_argument
---
#result definition
uint8 order_id
string[] names
float32[] confidence
---
#feedback
uint8 order_id
string[] names
float32[] confidence






################# order_id
#order_id = 0: recognize_once
#order_id = 1: recognize_continuous
#order_id = 2 add_face_images
#order_id = 3 (re)train
#order_id = 4 exit

################ order_argument
# for the add_face_images goal, the order_argument specifies the name of the person for which training images are acquired from the camera.

################ name and confidence in feedback and result
# for Order_id = 0 or 1, name and confidence are the name and confidence of the recognized person in the video stream.
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