1.
太谢谢了 、。。。。。原来我真的在用这个已在库中定义的值。。。。。太感谢了。。。。。 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2.
opencv_imgproc - image processing (filter, GaussianBlur, erode, dilate, resize, remap, cvtColor, calcHist etc.)
opencv_highgui - GUI and image & video I/O
opencv_ml - statistical machine learning models (SVM, Decision Trees, Boosting etc.) opencv_features2d - 2D feature detectors and descriptors (SURF, FAST etc., including the new feature detectors-descriptor-matcher framework) opencv_video - motion analysis and object tracking (optical flow, motion templates, background subtraction)opencv_objdetect - object detection in images (Haar & LBP face detectors, HOG people detector etc.)
opencv_calib3d - camera calibration, stereo correspondence and elements of 3D data processing opencv_flann - the Fast Library for Approximate Nearest Neighbors (FLANN 1.5) and the OpenCV wrappers opencv_contrib - contributed code that is not mature enough opencv_legacy - obsolete code, preserved for backward compatibility opencv_gpu - acceleration of some OpenCV functionality using CUDA (relatively unstable, yet very actively developed part of OpenCV) If you detected OpenCV and configured your make scripts using CMake or pkg-config tool, your code will likely build fine without any changes. Otherwise, you will need to modify linker parameters (change the library names) and update the include paths.It is still possible to use #include <cv.h> etc. but the recommended notation is:
#include "opencv2/imgproc/imgproc.hpp"