深圳有哪些做網(wǎng)站的公司/企業(yè)網(wǎng)站建設(shè)需求分析
‘create’ is not a member of ‘cv::aruco::DetectorParameters’
在構(gòu)建AruCo標(biāo)定板標(biāo)定位姿代碼的過程中,發(fā)現(xiàn)代碼中認(rèn)為create并不是aruco::DetectorParameters的成員函數(shù),這是因為在4.7.0及以上的OpenCV版本中,對ArUco的代碼做調(diào)整,刪去create函數(shù)。
解決方法是安裝OpenCV3的代碼,我選擇的是opencv3.4.13的版本。build成功之后就可以正常使用了。
【4.6.0及以前的OpenCV是有create函數(shù)的】
【4.7.0沒有create函數(shù)】
如何在Ubuntu環(huán)境下安裝OpenCV,通過Build源碼的形式?參見OpenCV的官方文檔Installation in Linux:
# Install minimal prerequisites (Ubuntu 18.04 as reference)
sudo apt update && sudo apt install -y cmake g++ wget unzip
# Download and unpack sources
wget -O opencv.zip https://github.com/opencv/opencv/archive/4.x.zip
wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.x.zip
unzip opencv.zip
unzip opencv_contrib.zip
# Create build directory and switch into it
mkdir -p build && cd build
# Configure
cmake -DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib-3.4/modules ../opencv-3.4.13
# Build
cmake --build . -j4
這里注意,如果wget無法下載,要自己手動下載3.4.13的OpenCV及contrib安裝包:
https://github.com/opencv/opencv/archive/3.4.13.zip
https://github.com/opencv/opencv_contrib/archive/3.4.zip
我將上述的build文件放在/home/ProfSnail/software/opencv3.4.13/build下面,在使用CMakeLists.txt的時候,要指定路徑。比如:
project(PieceSeg)
cmake_minimum_required(VERSION 3.0)
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_BUILD_TYPE Release)set(OpenCV_DIR /home/ProfSnail/software/opencv3.4.13/build)
find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})add_executable(calibration calibration.cpp)
target_link_libraries(calibration ${OpenCV_LIBS} cnpy)